Following is the list of accepted CCN 2018 papers, sorted by paper number. You can use the search feature of your web browser to find your paper number. Notifications to all authors have also been sent by email. If you have not received your notification of the results by email, please contact us at papers@ccneuro.org.
| Paper Number | Paper Title | Author List |
|---|---|---|
| 1010 | Predicting Affective Cognitions in the Resting Adult Brain | Keith Bush, Anthony Privratsky, Clinton Kilts, University of Arkansas for Medical Sciences, United States |
| 1016 | Unique contributions of medial axis structure in human object recognition | Vladislav Ayzenberg, Stella Lourenco, Emory University, United States |
| 1021 | Modeling human visual responses with a U-shaped deep neural network for motion flow-field estimation | Atsushi Wada, Satoshi Nishida, Hiroshi Ando, Shinji Nishimoto, National Institute of Information and Communications Technology, Japan |
| 1022 | Non-Computational Functionalism: Computation and the Function of Consciousness | Gualtiero Piccinini, University of Missouri - Saint Louis, United States |
| 1023 | The hippocampal formation facilitates social decision-making by transforming reference frames. | Raphael Kaplan, Karl Friston, University College London, United Kingdom |
| 1024 | Representations of 3D visual space in human cortex: Population receptive field models of position-in-depth | Julie Golomb, Ohio State University, United States |
| 1028 | White Matter Network Architecture Guides Direct Electrical Stimulation Through Optimal State Transitions | Jennifer Stiso, Ankit Khambhati, University of Pennsylvania, United States; Tommaso Menara, University of California Riverside, United States; Ari Kahn, Joel Stein, Sandihitsu Das, University of Pennsylvania, United States; Richard Gorniak, Joseph Tracy, Jefferson University, United States; Brian Litt, Kathryn Davis, University of Pennsylvania, United States; Fabio Pasqualetti, University of California Riverside, United States; Timothy Lucas, Danielle Bassett, University of Pennsylvania, United States |
| 1031 | Reconstructing faces from fMRI patterns using Generative Adversarial Networks | Rufin VanRullen, Leila Reddy, CNRS, France |
| 1033 | Predictive Coding Produces Alpha-band Rhythmic Travelling Waves | Andrea Alamia, Rufin VanRullen, CNRS - Université de Toulouse, France |
| 1034 | Dopaminergic changes in striatal pathway competition modify specific cognitive decision parameters | Kyle Dunovan, Carnegie Mellon University, United States; Catalina Vich, Universitat de les Illes Balears, Spain; Matthew Clapp, University of South Carolina, Spain; Jonathan Rubin, University of Pittsburgh, United States; Timothy Verstynen, Carnegie Mellon University, United States |
| 1035 | Unsupervised learning of manifold models for neural coding of physical transformations in the ventral visual pathway | Marissa Connor, Christopher Rozell, Georgia Institute of Technology, United States |
| 1036 | Generalized Schema Learning by Neural Networks | Catherine Chen, Qihong Lu, Andre Beukers, Chris Baldassano, Kenneth Norman, Princeton University, United States |
| 1037 | Reverse Engineering Neural Networks From Many Partial Recordings | Elahe Arani, Radboud University Nijmegen, Netherlands; Sofia Triantafillou, Konrad Kording, University of Pennsylvania, United States |
| 1038 | Structural support for brain state transitions that contribute to working memory | Eli Cornblath, Rastko Ciric, Graham Baum, Kosha Ruparel, Tyler Moore, Ruben Gur, Raquel Gur, David Roalf, Theodore Satterthwaite, Danielle Bassett, University of Pennsylvania, United States |
| 1039 | Auditory scene analysis as Bayesian inference in sound source models | Maddie Cusimano, Luke Hewitt, Joshua B. Tenenbaum, Josh H. McDermott, Massachusetts Institute of Technology, United States |
| 1040 | Modelling Human Visual Uncertainty using Bayesian Deep Neural Networks | Patrick McClure, University of Cambridge, United Kingdom; Tim Kietzmann, Johannes Mehrer, Univeristy of Cambridge, United Kingdom; Nikolaus Kriegeskorte, Columbia Univeristy, United States |
| 1041 | Using features from deep neural networks to model human categorization of natural images | Ruairidh Battleday, Joshua Peterson, Thomas Griffiths, University of California, Berkeley, United States |
| 1044 | The functional role of cue-driven feature-based feedback in object recognition | Sushrut Thorat, Marcel van Gerven, Marius Peelen, Donders Institute for Brain, Cognition and Behaviour, Netherlands |
| 1045 | Humans can outperform Q-learning in terms of learning efficiency | Holger Mohr, Katharina Zwosta, Dimitrije Markovic, Sebastian Bitzer, Uta Wolfensteller, Hannes Ruge, Technische Universität Dresden, Germany |
| 1046 | Deep neural networks trained with heavier data augmentation learn features closer to representations in hIT | Alex Hernández-García, University of Osnabrück, Germany; Johannes Mehrer, University of Cambridge, United Kingdom; Nikolaus Kriegeskorte, University of CambridgeColumbia University, United States; Peter König, University of Osnabrück, Germany; Tim C. Kietzmann, University of Cambridge, United Kingdom |
| 1048 | Modeling Hippocampal-Cortical Dynamics During Event Processing | Qihong Lu, Uri Hasson, Kenneth Norman, Princeton University, United States |
| 1049 | A dynamical systems model of intrinsic and evoked activity, variability, and functional connectivity | Takuya Ito, Brian Keane, Ravi Mill, Richard Chen, Luke Hearne, Katelyn Arnemann, Rutgers University, United States; Biyu He, New York University, United States; Horacio Rotstein, New Jersey Institute of Technology, United States; Michael Cole, Rutgers University, United States |
| 1050 | Semantic Compression of Episodic Memories | David G. Nagy, Balázs Török, Gergő Orbán, MTA Wigner Research Centre for Physics, Hungary |
| 1051 | Inference of dynamic probabilistic internal representations from reaction time data | Balázs Török, Dávid G. Nagy, MTA Wigner Research Centre for Physics, Hungary; Karolina Janacsek, Dezső Németh, Eötvös Loránd University, Hungary; Gergő Orbán, MTA Wigner Research Centre for Physics, Hungary |
| 1052 | Improving associative learning studies with Bayesian experimental design | Filip Melinscak, Dominik R. Bach, University of Zurich, Switzerland |
| 1054 | Decomposing spatial conflict BOLD activation using a drift-diffusion model framework | James McIntosh, Paul Sajda, Columbia University, United States |
| 1055 | Unsupervised deep neural network for fMRI feedback modelling | Michele Svanera, Andrew T. Morgan, Lucy S. Petro, Lars Muckli, University of Glasgow, United Kingdom |
| 1056 | Selective behavioral deficits from focal inactivation of primate inferior temporal (IT) cortex: a new quantitative constraint for models of core object recognition | Rishi Rajalingham, Hyodong Lee, James J. DiCarlo, Massachusetts Institute of Technology, United States |
| 1057 | Intuitive Physical Inference from Sound | James Traer, Josh McDermott, Massachusetts Inst. of Technology, United States |
| 1058 | Decision-making through evidence integration at long timescales | Michael Waskom, Roozbeh Kiani, New York University, United States |
| 1059 | Decision by Sampling Implements Efficient Coding of Psychoeconomic Functions | Rahul Bhui, Samuel J Gershman, Harvard University, United States |
| 1061 | The contribution of response correlations to the neural code of V1 | Mihály Bányai, Marcell Stippinger, Dávid Szalai, Gergő Orbán, MTA Wigner Research Centre for Physics, Hungary; Andreea Lazar, Liane Klein, Johanna Klon-Lipok, Wolf Singer, Ernst Strüngmann Institute for Neuroscience in Cooperation with Max Planck Society, Germany |
| 1062 | Combining Convolutional Neural Networks and Cognitive Models to Predict Novel Object Recognition in Humans | Jeffrey Annis, Thomas Palmeri, Vanderbilt University, United States |
| 1066 | Representation of adversarial images in deep neural networks and the human brain | Chi Zhang, Xiaohan Duan, National Digital Switching System Engineering and Technological Research Center, China; Ruyuan Zhang, University of Minnesota, United States; Li Tong, National Digital Switching System Engineering and Technological Research Center, China |
| 1068 | Value-conflict and volatility influence distinct decision-making processes | Krista Bond, Kyle Dunovan, Timothy Verstynen, Carnegie Mellon University, United States |
| 1069 | Antagonistic cross-links and reciprocal couplings emerge in optimal multisensory integration | He Wang, Hong Kong University of Science and Technology, China; Wen-Hao Zhang, University of Pittsburgh, United States; K. Y. Michael Wong, Hong Kong University of Science and Technology, China; Si Wu, Peking University, China |
| 1071 | Optimizing deep video representation to match brain activity | Hugo Richard, Ana Luisa Pinho, Bertrand Thirion, Guillaume Charpiat, Inria, France |
| 1072 | Brain activity recorded during free viewing of naturalistic short films simultaneously reveals the brain representations of multiple feature spaces | Anwar Nunez-Elizalde, Fatma Deniz, James Gao, Jack Gallant, University of California, Berkeley, United States |
| 1074 | Effect of Signal Alteration on Learning Shape Identity using Sparse Representations | Michael Slugocki, McMaster University, Canada; Allison B. Sekuler, Baycrest Health Sciences, Canada; Patrick J. Bennett, McMaster University, Canada |
| 1075 | A dataset and architecture for visual reasoning with a working memory | Guangyu Robert Yang, Columbia University, United States; Igor Ganichev, Google, United States; Xiao-Jing Wang, New York University, United States; Jonathon Shlens, David Sussillo, Google, United States |
| 1076 | Modeling Visual Working Memory in Schizophrenia | Yijie Zhao, Xuemei Ran, Li Zhang, East China Normal University, China; Ruyuan Zhang, University of Minnesota, United States; Yixuan Ku, East China Normal University, China |
| 1077 | The neurocomputational mechanisms of human sequential decision making under uncertainty in a spatial search task | Dirk Ostwald, Lilla Horvath, Freie Universität Berlin, Germany |
| 1078 | Computational mechanisms of human state-action-reward contingency learning under perceptual uncertainty | Dirk Ostwald, Rasmus Bruckner, Hauke Heekeren, Freie Universität Berlin, Germany |
| 1079 | Endogenous pre-stimulus activity modulates category tuning in ventral temporal cortex and influences perceptual behavior | Yuanning Li, Carnegie Mellon University, United States; Michael Ward, Mark Richardson, University of Pittsburgh, United States; Max G'Sell, Carnegie Mellon University, United States; Avniel Ghuman, University of Pittsburgh, United States |
| 1080 | The Exploration-Exploitation Dilemma as a Tool for Studying Addiction | Irene Cogliati Dezza, Xavier Noel, Axel Cleeremans, Université Libre de Bruxelles, Belgium; Angela Yu, University of California San Diego, United States |
| 1081 | Deep Neural Networks Represent Semantic Category in Object Images Independently from Low-level Shape | Astrid Zeman, J Brendan Ritchie, Stefania Bracci, Hans Op de Beeck, KULeuven, Belgium |
| 1082 | Mapping the Dark Side: Visual Selectivity of Default Network Deactivations | Tomas Knapen, Vrije Universiteit Amsterdam & Spinoza Centre, KNAW, Netherlands; Daan van Es, Vrije Universiteit Amsterdam, Netherlands |
| 1083 | Cortical feedback to superficial layers of V1 contains predictive scene information. | Andrew Morgan, Lucy Petro, Lars Muckli, University of Glasgow, United Kingdom |
| 1084 | A biphasic temporal pattern in pupil size around perceptual switches in binocular rivalry | Gilles de Hollander, Vrije Universiteit Amsterdam, Netherlands; Eline R. Kupers, New York University, United States; Jan W. Brascamp, Michigan State University, United States; Tomas H. Knapen, Vrije Universiteit Amsterdam, Netherlands |
| 1085 | Topographic Deep Artificial Neural Networks (TDANNs) predict face selectivity topography in primate inferior temporal (IT) cortex | Hyodong Lee, James DiCarlo, Massachusetts Institute of Technology, United States |
| 1086 | Short-term Sequence Memory: Compressive effects of Recurrent Network Dynamics | Adam Charles, Princeton University, United States; Han Lun Yap, DSO National Laboratories, Singapore; Dong Yin, University of California, Berkeley, United States; Christopher Rozell, Georgia Institute of Technology, United States |
| 1087 | Additive Continuous-time Joint Partitioning of Neural Variability | Adam Charles, Jonathan Pillow, Princeton University, United States |
| 1088 | Voxel-wise Modeling with Spatial Regularization: Application to Semantic Mapping during Natural Listening | ÖZGÜR YILMAZ, EMİN ÇELİK, TOLGA ÇUKUR, Bilkent University, Turkey |
| 1090 | Temporal dynamics underlying sound discrimination in the human brain | Matthew Lowe, Santani Teng, Yalda Mohsenzadeh, MIT, United States; Ian Charest, University of Birmingham, United Kingdom; Dimitrios Pantazis, Aude Oliva, MIT, United States |
| 1091 | Neurocomputational Modeling of Human Physical Scene Understanding | Ilker Yildirim, Kevin Smith, Mario Belledonne, Jiajun Wu, Joshua Tenenbaum, MIT, United States |
| 1092 | Rapid detection of social interactions in the human brain | Leyla Isik, Anna Mynick, Dimitrios Pantazis, Nancy Kanwisher, MIT, United States |
| 1094 | Learning to overexert cognitive control in the Stroop task | Laura Bustamante, Princeton University, United States; Falk Lieder, Max Planck Institute for Intelligent Systems, Germany; Sebastian Musslick, Princeton University, United States; Amitai Shenhav, Brown University, United States; Jonathan Cohen, Princeton University, United States |
| 1096 | Cortical Mirror-System Activation During Real-Life Game Playing: An Intracranial Electroencephalography (EEG) Study | Markus Kern, Translational Neurotechnology Lab, Germany; Johanna Ruescher, Faculty of Biology, Germany; Tonio Ball, Translational Neurotechnology Lab, Germany; Andreas Schulze-Bonhage, Epilepsy Center, Germany |
| 1097 | A Neural Microcircuit Model for a Scalable Scale-invariant Representation of Time | Yue Liu, Zoran Tiganj, Michael Hasselmo, Marc Howard, Boston University, United States |
| 1098 | Theta phase at encoding leads to successful memory formation | Josefina Cruzat, Mireia Torralba, Manuela Ruzzoli, Gustavo Deco, Salvador Soto-Faraco, Universitat Pompeu Fabra, Spain |
| 1099 | Saccadic guidance for information gathering in natural scenes | Kirsty McNaught, Maneesh Sahani, University College London, United Kingdom |
| 1100 | Equivalence of Equilibrium Propagation and Recurrent Backpropagation | Benjamin Scellier, Yoshua Bengio, University of Montreal, Canada |
| 1103 | A Greedy Best-First Search Algorithm for Accurate Functional Brain Mapping | Nima Asadi, Yin Wang, Ingrid Olson, Zoran Obradovic, Temple University, United States |
| 1104 | Familiarity Affects Early Perceptual Stages of Face Processing | Katharina Dobs, Leyla Isik, Dimitrios Pantazis, Nancy Kanwisher, Massachusetts Institute of Technology, United States |
| 1105 | Emergence of Topographical Correspondences between Deep Neural Network and Human Ventral Visual Cortex | Yalda Mohsenzadeh, Caitlin Mullin, Dimitrios Pantazis, Aude Oliva, Massachusetts Institute of Technology, United States |
| 1107 | A mathematical model of real-world object shape predicts human perceptual judgments | Caterina Magri, Andrew Marantan, L Mahadevan, Talia Konkle, Harvard University, United States |
| 1109 | Evidence for chunking vs. statistical learning in motor sequence production | Nicola J. Popp, Neda Kordjaz, Paul Gribble, Jörn Diedrichsen, University of Western Ontario, Canada |
| 1110 | Deep Predictive Coding Models of Sensory Information Processing in the Brain | Shirin Dora, Cyriel Pennartz, University of Amsterdam, Netherlands; Sander Bohte, Centrum Wiskunde & Informatica, Netherlands |
| 1113 | Global-and-local attention networks for visual recognition | Drew Linsley, Brown University, United States; Dan Shiebler, Twitter, United States; Sven Eberhardt, Amazon, United States; Thomas Serre, Brown University, United States |
| 1115 | Inferences about Uniqueness in Statistical Learning | Anna Leshinskaya, Sharon L Thompson-Schill, University of Pennsylvania, United States |
| 1116 | Learning long-range spatial dependencies with horizontal gated-recurrent units | Drew Linsley, Junkyung Kim, Vijay Veerabadran, Thomas Serre, Brown University, United States |
| 1118 | The role of textural statistics vs. outer contours in deep CNN and neural responses to objects | Bria Long, Stanford University, United States; Talia Konkle, Harvard University, United States |
| 1120 | High-Level Features Organize Perceived Action Similarities | Leyla Tarhan, Talia Konkle, Harvard University, United States |
| 1121 | Brain age prediction for post-traumatic stress disorder patients with convolutional neural networks: a multi-modal neuroimaging study | Xin Niu, Hualou Liang, Fengqing Zhang, Drexel university, United States |
| 1122 | Phoneme-level processing in low-frequency cortical responses to speech explained by acoustic features | Christoph Daube, Robin A. A. Ince, University of Glasgow, United Kingdom; Joachim Gross, Westfälische Wilhelms-Universität, Germany |
| 1123 | BOLD predictions: automated simulation of fMRI experiments | Leila Wehbe, UC Berkeley, United States; Alexander G Huth, UT Austin, United States; Fatma Deniz, James Gao, UC Berkeley, United States; Marie-Luise Kieseler, Dartmouth University, United States; Jack L Gallant, UC Berkeley, United States |
| 1125 | Corticostriatal signatures of learning efficient internal models for control | Daniel McNamee, University of Cambridge, United Kingdom; Matthew Botvinick, DeepMind, United Kingdom; Samuel Gershman, Harvard University, United States |
| 1126 | Gaussian Process Models Characterize Other-Regarding Strategies Over Multiple Timescales in a Dynamic Social Game | Kelsey McDonald, Duke University, United States; William F. Broderick, New York University, United States; Scott Huettel, John Pearson, Duke University, United States |
| 1127 | Potential cortical and computational biases in representational similarity analysis | Daniel Leeds, David Shutov, Fordham University, United States |
| 1128 | A Generative Model of People's Intuitive Theory of Emotions | Sean Dae Houlihan, Max Kleiman-Weiner, Joshua Tenenbaum, Rebecca Saxe, Massachusetts Institute of Technology, United States |
| 1129 | Experimental And Computational Investigation of the Effects of Variable RSI on Sequence Learning | Sneha Kummetha, Pramod Kaushik, Anuj Shukla, International Institute of Information Technology, Hyderabad, India; Bapi Raju Surampudi, International Institute of Information Technology, Hyderabad and University of Hyderabad, India |
| 1132 | Evidence for an Intuitive Physics Engine in the Human Brain | Sarah Schwettmann, Josh Tenenbaum, Nancy Kanwisher, MIT, United States |
| 1133 | Calcium imaging in canary (serinus canaria) HVC reveals latent states supporting behavioral sequencing with long range history dependence | Yarden Cohen, Jun Shen, Dawit Semu, Timothy M. Otchy, Timothy J. Gardner, Boston University, United States |
| 1134 | Learning Intermediate Features of Object Affordances with a Convolutional Neural Network | Aria Wang, Michael Tarr, Carnegie Mellon University, United States |
| 1135 | Natural Sound Statistics Predict Auditory Grouping Principles | Wiktor Mlynarski, Josh McDermott, Massachusetts Institute of Technology, United States |
| 1136 | Data-driven methods reveal the generalizing mechanisms of speech processing in naturally varying soundscapes | Moritz Boos, Applied Neurocognitive Psychology Lab, Germany; Jörg Lücke, Machine Learning Group, Germany; Jochem Rieger, Applied Neurocognitive Psychology Lab, Germany |
| 1137 | A Large Scale Multi-Label Action Dataset for Video Understanding | Mathew Monfort, Kandan Ramakrishnan, MIT, United States; Dan Gutfreund, IBM Research and MIT-IBM Watson AI Lab, United States; Aude Oliva, MIT, United States |
| 1139 | Hierarchical nonlinear embedding reveals brain states and performance differences during working memory tasks | Siyuan Gao, Gal Mishne, Dustin Scheinost, Yale University, United States |
| 1140 | A public fMRI dataset of 5000 scenes: a resource for human vision science | Nadine Chang, John Pyles, Abhinav Gupta, Michael Tarr, Carnegie Mellon University, United States; Elissa Aminoff, Fordham University, United States |
| 1141 | Improving Corticostriatal Parcellation Through Multilevel Bagging with PyBASC | Aki Nikolaidis, Child Mind Institute, United States; Joshua Vogelstein, Johns Hopkins University, United States; Pierre Bellec, University of Montreal, Canada; Michael Milham, Child Mind Institute, United States |
| 1142 | Auditory texture synthesis from task-optimized convolutional neural networks | Jenelle Feather, Josh H. McDermott, Massachusetts Institute of Technology, United States |
| 1143 | Music selectivity in the cortex is independent of extensive musical training | Dana Boebinger, Harvard University, United States; Sam Norman-Haignere, Ecole Normale Superieure, France; Josh McDermott, Nancy Kanwisher, Massachusetts Institute of Technology, United States |
| 1144 | From Pixels to Scene Categories: Unique and Early Contributions of Functional and Visual Features | Michelle R. Greene, Bates College, United States; Bruce C. Hansen, Colgate University, United States |
| 1145 | Training Humans and Machines | Aki Nikolaidis, Child Mind Institute, United States |
| 1146 | Mapping the Human Cerebellum | Maedbh King, Rich Ivry, University of California, Berkeley, United States; Joern Diedrichsen, Western University, Canada |
| 1147 | Learned context dependent categorical perception in a songbird | Tim Sainburg, Marvin Thielk, Timothy Gentner, University of California San Diego, United States |
| 1148 | Performance Optimization is Insufficient for Building Accurate Models for Neural Representation | Jonathan Yu, Qihong Lu, Uri Hasson, Kenneth Norman, Jonathan Pillow, Princeton University, United States |
| 1149 | Worminator: A platform to enable bio-inspired (C. elegans) robotics | Raphael Norman-Tenazas, Jordan Matelsky, Kapil Katyal, Erik Johnson, William Gray-Roncal, Johns Hopkins University Applied Physics Laboratory, United States |
| 1151 | Combining heuristics with counterfactual play in reinforcement learning. | Erik Peterson, Necati Müyesser, Kyle Dunovan, Tim Verstynen, Carnegie Mellon University, United States |
| 1152 | Explaining Visual Cortex Phenomena using Recursive Cortical Network | Alexander Lavin, J. Swaroop Guntupalli, Miguel Lázaro-Gredilla, Wolfgang Lehrach, Dileep George, Vicarious AI, United States |
| 1153 | Convolutional Neural Network Achieves Human-level Accuracy in Music Genre Classification | Mingwen Dong, Rutgers University, United States |
| 1154 | Cortical Microcircuits from a Generative Vision Model | Dileep George, Alexander Lavin, J. Swaroop Guntupalli, David Mely, Nick Hay, Miguel Lázaro-Gredilla, Vicarious AI, United States |
| 1157 | Texture Statistics: The Mechanism Behind Ensemble Perception in Human Vision | Sasen Cain, University of California San Diego, United States; Matthew Cain, United States Army and Tufts University, United States |
| 1158 | Spectral Power Variation Separates Oscillatory from Non-Oscillatory Stochastic Neural Dynamics | Richard Gao, Lauren Liao, Bradley Voytek, University of California, San Diego, United States |
| 1159 | A Procedural Roadblock to Mechanistic Understanding of Neural Circuits | Venkat Ramaswamy, National Centre for Biological Sciences, India |
| 1161 | Network constraints on learnability of probabilistic motor sequences | Ari E. Kahn, Elisabeth A. Karuza, University of Pennsylvania, United States; Jean M. Vettel, U.S. Army Research Laboratory, United States; Danielle S. Bassett, University of Pennsylvania, United States |
| 1162 | Deep Graph Convolutional Neural Networks Identify Frontoparietal Control and Default Mode Network Contributions to Mental Imagery | Michael Craig, Ram Adapa, Ioannis Pappas, David Menon, Emmanuel Stamatakis, University of Cambridge, United Kingdom |
| 1164 | Memory mechanisms predict sampling biases in sequential decision tasks | Marcelo Mattar, Princeton University, United States; Deborah Talmi, University of Manchester, United Kingdom; Nathaniel Daw, Princeton University, United States |
| 1165 | Disinhibition as a canonical neural mechanism for flexible behavior | Dominic Standage, Martin Pare, Gunnar Blohm, Queen's University, Canada |
| 1167 | A Perceptual Confirmation Bias from Approximate Online Inference | Richard Lange, Ankani Chattoraj, Matthew Hochberg, University of Rochester, United States; Jeffrey Beck, Duke University, United States; Jacob Yates, Ralf Haefner, University of Rochester, United States |
| 1168 | Controllability Analysis on Functional Brain Networks | Shi Gu, Shikuang Deng, University of Electronic Science and Technology of China, China |
| 1169 | Structure from Noise: Mental Errors Yield Abstract Representations of Events | Christopher Lynn, Ari Kahn, Danielle Bassett, Univ of Pennsylvania, United States |
| 1171 | Neural and computational dissociations between objects, scenes, and near-scale reachspaces | Emilie Josephs, Talia Konkle, Harvard University, United States |
| 1172 | Beware of the beginnings: intermediate and higher-level representations in deep neural networks are strongly affected by weight initialization | Johannes Mehrer, University of Cambridge, United Kingdom; Nikolaus Kriegeskorte, Columbia University, United States; Tim C. Kietzmann, University of Cambridge, United Kingdom |
| 1174 | Understanding Action Prediction with Machine Learning and Psychophysics | Emalie McMahon, National Institute of Mental Health, United States; Ray Gonzalez, Ken Nakayama, Harvard University, United States; Leslie G. Ungerleider, Maryam Vaziri-Pashkam, National Institute of Mental Health, United States |
| 1177 | A Network Science Cartography of Cognitive Control System Dynamics | Carrisa V Cocuzza, Julia Hamilton, Emily Winfield, Rutgers University, United States; Danielle S. Bassett, University of Pennsylvania, United States; Michael W Cole, Rutgers University, United States |
| 1178 | Analog Computation in Computational Cognitive Neuroscience | Corey Maley, University of Kansas, United States |
| 1179 | Uncovering mental and neural structure through data-driven ontology discovery | Ian Eisenberg, Patrick Bissett, A Zeynep Enkavi, Jamie Li, Stanford University, United States; David MacKinnon, Arizona State University, United States; Lisa Marsch, Dartmouth College, United States; Russell Poldrack, Stanford University, United States |
| 1183 | From prediction to modification - modeling first impression of faces | Amanda Song, Chad Atalla, Li Linjie, Bartholomew Tam, Garrison Cottrell, University of California, San Diego, United States |
| 1184 | Distinct Computational Models of Reading Correspond to Distinct but Similar Neural Activation Patterns | William Graves, Rutgers University -- Newark, United States; Amulya Bidar Nataraj, Rutgers Business School, United States |
| 1186 | The impact of noise correlation on multivariate pattern classification in fMRI | RUYUAN ZHANG, Kendrick Kay, University of Minnesota, United States |
| 1187 | Deep Learning Classification Study of First-Episode Treatment-Naïve Schizophrenia Using Brain Cortical Area and Cognitive Features | Yinfei Li, Tao Li, West China Hospital, China |
| 1189 | Izhikevich Models For Hippocampal Neurons And Its Sub-Region CA3 | Priyamvada Modak, V. Srinivasa Chakravarthy, Indian Institute of Technology Madras, India |
| 1190 | Representational dynamics in the human ventral stream captured in deep recurrent neural nets | Tim C Kietzmann, Courtney J Spoerer, University of Cambridge, United Kingdom; Lynn Sörensen, University of Amsterdam, Netherlands; Olaf Hauk, University of Cambridge, United Kingdom; Radoslaw M Cichy, Freie Universität Berlin, Germany; Nikolaus Kriegeskorte, Columbia University, United States |
| 1191 | Shaping Model-Free Reinforcement-Learning with Model-Based Pseudorewards | Paul Krueger, Thomas Griffiths, Princeton University, United States |
| 1192 | Choice History Biases Subsequent Evidence Accumulation | Anne Urai, Jan Willem de Gee, Konstantinos Tsetsos, Tobias Donner, University Medical Center Hamburg-Eppendorf, Germany |
| 1193 | How are the statistics of object co-occurrence represented in human visual cortex? | Michael Bonner, Russell Epstein, University of Pennsylvania, United States |
| 1194 | Predicting memory performance using a joint model of brain and behavior | David Halpern, Shannon Tubridy, Lila Davachi, Todd Gureckis, New York University, United States |
| 1195 | A selective diffusion model of brain network activity | Daniel Graham, Yan Hao, Hobart & William Smith Colleges, United States |
| 1196 | Noisy inference of value signals in frontal cortex drives exploration during reward-guided learning | Charles Findling, Vasilisa Skvortsova, Ecole normale supérieure, France; Rémi Dromnelle, Université Pierre et Marie Curie, France; Nicolas Chopin, École nationale de la statistique et de l'administration économique, France; Stefano Palminteri, Valentin Wyart, Ecole normale supérieure, France |
| 1197 | Are you sure about that? On the origins of confidence in concept learning | Hrvoje Stojic, Eran Eldar, Hassan Bassam, Peter Dayan, Raymond J. Dolan, University College London, United Kingdom |
| 1198 | Smart on the Inside: Functionally Rich Differences in Connectivity Within the Dorsolateral Prefrontal Cortex Are Present in Early Infancy | Chiara Caldinelli, Trinity College Dublin, Ireland; Laura Cabral, Western University, Canada; Rhodri Cusack, Trinity College Dublin, Ireland |
| 1199 | Constructing neural-level models of behavior in working memory tasks | Zoran Tiganj, Nathanael Cruzado, Marc W. Howard, Boston University, United States |
| 1202 | Brain connectivity is modularly represented in the genome | Maxwell Bertolero, Graham Baum, Theodore Satterthwaite, Danielle Bassett, University of Pennsylvania, United States |
| 1203 | Understanding illusory face perception in the human brain | Susan Wardle, Jessica Taubert, National Institutes of Health, United States; Lina Teichmann, Macquarie University, Australia; Chris Baker, National Institutes of Health, United States |
| 1204 | Temporal structure of learning to regulate ventral tegmental area using real-time fMRI neurofeedback | Shabnam Hakimi, Duke University, United States; Jeffrey MacInnes, University of Washington, United States; Kathryn Dickerson, Alison Adcock, Duke University, United States |
| 1206 | Modeling the Intuitive Physics of Stability Judgments Using Deep Hierarchical Convolutional Neural Networks | Colin Conwell, George Alvarez, Harvard University, United States |
| 1207 | Microcircuit Design for Real-Time Data Acquisition and Neuromuscular Control of Insect Motion | Evan Faulkner, Abhishek Dutta, University of Connecticut, United States |
| 1208 | Why is the fusiform face area recruited for other domains of expertise? | Garrison Cottrell, UCSD, United States |
| 1210 | The strength of functional connectivity between the frontoparietal and default mode systems correlates with behavioral performance on a variety of tasks in the Human Connectome Project | Andrew Murphy, Maxwell Bertolero, Danielle Bassett, University of Pennsylvania, United States |
| 1211 | Ghost Units Yield Biologically Plausible Backprop in Deep Neural Networks | Thomas Mesnard, Gaëtan Vignoud, Montreal Institute for Learning Algorithms, Canada; Walter Senn, University of Bern, Switzerland; Yoshua Bengio, Montreal Institute for Learning Algorithms, Canada |
| 1212 | Thalamic Modulation of Memory in Recurrent Networks | Peter Stratton, The University of Queensland, Australia; Michael Halassa, Massachusetts Institute of Technology, United States |
| 1213 | Inverse POMDP: Inferring Internal Model and Latent Beliefs | Zhengwei Wu, Baylor College of Medicine, United States; Paul Schrater, University of Minnesota, United States; Xaq Pitkow, Rice University, United States |
| 1214 | Modeling the effects of temporal context on neural responses across the cortical hierarchy | Hsiang-Yun Chien, Christopher Honey, Johns Hopkins University, United States |
| 1215 | General Shape Features Allow for Categorization of Written Symbols Across Font Variation | Daniel Janini, Talia Konkle, Harvard University, United States |
| 1216 | Decision-related activity & feature-selective attention: evidence for a common mechanism in macaque V2 | Katrina R Quinn, Stephane Clery, Paria Pourriahi, Hendrikje Nienborg, University of Tübingen, Germany |
| 1217 | How sensory ecology affects the utility of planning | Ugurcan Mugan, Malcolm A. MacIver, Northwestern University, United States |
| 1218 | Linking neural representations for decision-making between monkey and human cortex | Paula Kaanders, Hamed Nili, Tim Behrens, Laurence Hunt, University of Oxford, United Kingdom |
| 1219 | Neural mechanisms of human decision-making | Kai Krueger, Seth Herd, Ananta Nair, eCortex Inc, United States; Jessica Mollick, Yale University, United States; Randall O'Reilly, University of Colorado Boulder, United States |
| 1220 | Visualizing the global geometry of population representations of multiple visual object categories with spheres | Andrew David Zaharia, Mortimer B. Zuckerman Mind Brain Behavior Institute, Columbia University, United States; Alexander Walther, Realeyes, United Kingdom; Nikolaus Kriegeskorte, Mortimer B. Zuckerman Mind Brain Behavior Institute, Columbia University, United States |
| 1221 | An Algorithm for Clustering Decision-Making Phenotypes from Behavioural Data | Abraham Nunes, Alexander Rudiuk, Thomas Trappenberg, Dalhousie University, Canada |
| 1222 | Neural Population Control via Deep ANN Image Synthesis | Pouya Bashivan, Kohitij Kar, James DiCarlo, MIT, United States |
| 1224 | A value-based explanation for lapses in perceptual decisions | Sashank Pisupati, Lital Chartarifsky, Anne Churchland, Cold Spring Harbor Laboratory, United States |
| 1225 | Learning Simple Computations in Dynamical Systems by Example | Jason Kim, Danielle Bassett, University of Pennsylvania, United States |
| 1226 | Response Inhibition in Adolescents is Moderated by Brain Connectivity and Social Network Structure | Steven Tompson, U.S. Army Research Laboratory, United States; Emily Falk, University of Pennsylvania, United States; Jean Vettel, U.S. Army Research Laboratory, United States; Danielle Bassett, University of Pennsylvania, United States |
| 1228 | Reevaluating revaluation: evidence for value construction during decision making | Akram Bakkour, Ariel Zylberberg, Michael Shadlen, Daphna Shohamy, Columbia University, United States |
| 1231 | A flexible model of working memory | Flora Bouchacourt, Tim Buschman, Princeton Neuroscience Institute, United States |
| 1232 | Deep convolutional neural networks, features, and categories perform similarly at explaining primate high-level visual representations | Kamila Maria Jozwik, Massachusetts Institute of Technology and University of Cambridge, United States; Nikolaus Kriegeskorte, Columbia University, United States; Radoslaw Martin Cichy, Free University Berlin, Germany; Marieke Mur, University of Cambridge, United Kingdom |
| 1234 | Can Deep Neural Networks Rival Human Ability to Generalize in Core Object Recognition? | Jonas Kubilius, Kohitij Kar, Kailyn Schmidt, James DiCarlo, MIT, United States |
| 1235 | The dynamics of frustration | Bowen Fung, Dean Mobbs, Colin Camerer, California Institute of Technology, United States |
| 1236 | Auditory letter-name processing elicits crossmodal representations in blind listeners | Santani Teng, Smith-Kettlewell Eye Research Institute, United States; Verena Sommer, Max Planck Institute for Human Development, Germany; Radoslaw Cichy, Free University of Berlin, Germany; Dimitrios Pantazis, Aude Oliva, Massachusetts Institute of Technology, United States |
| 1237 | Does the brain represent words? An evaluation of brain decoding studies of language understanding | Jon Gauthier, Anna Ivanova, Massachusetts Institute of Technology, United States |
| 1239 | Mod-DeepESN: Modular Deep Echo State Network | Zachariah Carmichael, Humza Syed, Stuart Burtner, Dhireesha Kudithipudi, Rochester Institute of Technology, United States |
| 1240 | Neural network vs. HMM speech recognition systems as models of human cross-linguistic phonetic perception | Thomas Schatz, Naomi Feldman, University of Maryland & Massachusetts Institute of Technology, United States |
| 1241 | The many directions of feedback alignment | Brian Cheung, Daniel Jiang, UC Berkeley, United States |
| 1242 | Deep Predictive Learning in Vision | Randall O'Reilly, John Rohrlich, University of Colorado Boulder, United States |
| 1243 | Repetition Suppression during Movement Execution Reflects Different Mechanisms in the Striatum than in the Neocortex | Eva Berlot, Nicola J. Popp, Jörn Diedrichsen, Western University, Canada |
| 1244 | Oscillations in Stochastic Neural Computational Systems | Gary Engler, Michael Zabarankin, Stevens Institute of Technology, United States |
| 1245 | Orientation selectivity and stimulus vignetting in human visual cortex | Zvi Roth, National Institutes of Health, United States; David Heeger, New York University, United States; Elisha Merriam, National Institutes of Health, United States |
| 1247 | Combining Biological and Artificial Approaches to Understand Perceptual Spaces for Categorizing Natural Acoustic Signals | Marvin Thielk, Tim Sainburg, University of California San Diego, United States; Tatyana Sharpee, Salk Institute, United States; Timothy Gentner, University of California San Diego, United States |
| 1248 | Quantifying the effect of staining methods on extracted neuron morphology | Roozbeh Farhoodi, Benjamin Lansdell, Konrad Kording, University of Pennsylvania, United States |
| 1250 | Signal power as the limited resource of working memory | Thomas Christie, Paul Schrater, University of Minnesota, United States |
| 1251 | Activation alignment: exploring the use of approximate activity gradients in multilayer networks | Thomas Mesnard, Montreal Institute for Learning Algorithms, Canada; Blake Richards, University of Toronto Scarborough, Canada |
| 1253 | Incorporating an adaptive learning rate in a neural model of action selection | Sverrir Thorgeirsson, Brent Komer, Chris Eliasmith, University of Waterloo, Canada |
| 1254 | Task Demands and Stimulus Normalization in Face Perception: an fMRI Study | Nicholas Blauch, Rosemary Cowell, University of Massachusetts, Amherst, United States |
| 1255 | Voxel to voxel encoding models reveal unexpected structure in unexplained variance | Maggie Mae Mell, Thomas Naselaris, Medical University of South Carolina, United States |
| 1257 | Linking image-by-image population dynamics in the macaque inferior temporal cortex to core object recognition behavior | Kohitij Kar, Kailyn Schmidt, James DiCarlo, Massachusetts Institute of Technology, United States |
| 1258 | Laterally connected neural field provides precise centroid estimates | Sebastian Waz, Charles Chubb, University of California, Irvine, United States |
| 1259 | Towards a common philosophy of explanation for artificial and biological intelligence | Jessica Thompson, University of Montreal, Canada |
| 1260 | Approximate inference explains paradoxical data in two-event causal inference task | Sabyasachi Shivkumar, Madeline Cappelloni, Ross Maddox, Ralf M. Haefner, University of Rochester, United States |
| 1261 | Learning and Reasoning in a Complex Environment | David Barack, C Daniel Salzman, Columbia University, United States |
| 1263 | A framework for linking computations and rhythm-based timing patterns in neural firing, such as phase precession in hippocampal place cells | Edward Frady, Pentti Kanerva, Friedrich Sommer, UC Berkeley, United States |
| 1264 | Learning to attend in a brain-inspired deep neural network | Hossein Adeli, Gregory Zelinsky, Stony Brook University, United States |
| 1265 | Human Priors in Hierarchical Program Induction | Mark Ho, Sophia Sanborn, Fred Callaway, David Bourgin, Tom Griffiths, UC Berkeley, United States |
| 1267 | Capturing the geometric structure of episodic memories for naturalistic experiences | Andrew Heusser, Jeremy Manning, Dartmouth College, United States |
| 1269 | Neurons of the prefrontal cortex encode a representation of a Bayesian belief during reinforcement learning | Ramon Bartolo, Richard Saunders, Andrew Mitz, Bruno Averbeck, National Institutes Of Health, United States |
| 1271 | Predicting human perceived similarity across a wide range of object categories via sparse positive embeddings | Martin Hebart, Laboratory of Brain & Cognition, National Institute of Mental Health, United States; Charles Zheng, Francisco Pereira, Section on Functional Imaging Methods, National Institute of Mental Health, United States; Chris Baker, Laboratory of Brain & Cognition, National Institute of Mental Health, United States |
| 1274 | A variational image reconstruction algorithm reveals distortion and uncertainty in mental imagery | Thomas Naselaris, Medical University of South Carolina, United States |
| 1275 | How does motion affect material perception of deformable objects? | Wenyan Bi, American University, United States; Hendrikje Nienborg, University of Tubingen, Germany; Bei Xiao, American University, United States |
| 1276 | Low-Rank Nonlinear Decoding of μ-ECoG from the Primary Auditory Cortex | Melikasadat Emami, Mojtaba Sahraee Ardakan, Parthe Pandit, Alyson Fletcher, University of California, Los Angeles, United States; Sundeep Rangan, New York University, United States; Michael Trumpis, Brinnae Bent, Chia-Han Chiang, Jonathan Viventi, Duke University, United States |
| 1284 | A massive benchmark high-field fMRI dataset of responses to natural scenes | Kendrick Kay, University of Minnesota, United States; Thomas Naselaris, Medical University of South Carolina, United States |
| 1285 | Active sampling decreases the perceived volatility of uncertain environments and associated neural representations | Aurelien Weiss, Valentin Wyart, Valerian Chambon, Ecole Normale Superieure, France; Jan Drugowitsch, Harvard Medical School, United States |
| 1286 | NMDA receptor inactivation destabilizes neural representations of decision signals during probabilistic reasoning | Valentin Wyart, Ecole Normale Superieure, France; Alexandre Salvador, Centre Hospitalier Sainte-Anne, France; Luc Arnal, Universite de Geneve, Switzerland; Philippe Domenech, Institut du Cerveau et de la Moelle Epiniere, France; Raphael Gaillard, Centre Hospitalier Sainte-Anne, France |
| 1287 | Can neural computation be compressed enough for us to understand it? | Timothy Lillicrap, Google Deepmind, United Kingdom; Konrad Kording, University of Pennsylvania, United Kingdom |
| 1288 | A rational account of human memory search | Qiong Zhang, John Anderson, Carnegie Mellon University, United States |
| 1289 | Visual search behavior of neural networks | David Nicholson, Emory University, United States |
| 1290 | Disentangling multiple systems contributing to learning in adolescence | Anne Collins, Maria Eckstein, Sarah Master, Ronald Dahl, Linda Wilbrecht, University of California, Berkeley, United States |
| 1293 | Passive forgetting or selective attention? Comparing two models of learning in multidimensional environments | Guy Davidson, Minerva Schools, United States; Angela Radulescu, Yael Niv, Princeton University, United States |
| 1296 | The Contribution of Facial Motion to Voice Recognition | Noa Simhi, Galit Yovel, Tel Aviv University, Israel |
| 1297 | Brain-Score: Which Artificial Neural Network Best Emulates the Brain’s Neural Network? | Martin Schrimpf, Jonas Kubilius, James DiCarlo, MIT, United States |
| 1298 | Automatically Composing Representation Transformations as a Means for Generalization | Michael Chang, Abhishek Gupta, Sergey Levine, Thomas Griffiths, University of California, Berkeley, United States |
| 1299 | Somatic and dendritic calcium imaging of mouse retrosplenial cortex during volitional head rotation in 2-D navigation | Jakob Voigts, Mark Harnett, MIT, United States |
| 1300 | Confidence in decision-making modeling | Zahra Ghasemi Esfahani, Boston University, United States; Amirhosein Farzmahdi, Sajjad Zabbah, Reza Ebrahimpour, Institute for Research in Fundamental Sciences, Iran |
| 1301 | Network metrics as classification features in brain-computer interface | Thomas Arnold, University of Pennsylvania, United States; Marie-Constance Corsi, Sorbonne Universités, France; Jeni Stiso, University of Pennsylvania, United States; Fabrizio De Vico Fallani, Sorbonne Universités, France; Danielle Bassett, University of Pennsylvania, United States |
* Selected for oral presentation
The CCN Steering Committee thanks the following individuals for contributing their time to reviewing CCN 2018 papers:
| Elissa Aminoff |
| Stefano Anzellotti |
| Chris Baker |
| Curtis Baker |
| Akram Bakkour |
| Christopher Baldassano |
| David Barack |
| Jeffrey Beck |
| Yoshua Bengio |
| Roland Benoit |
| Apoorva Bhandari |
| Dan Biderman |
| Gunnar Blohm |
| Sander Bohte |
| Michael Bonner |
| Stefania Bracci |
| Tim Buschman |
| Ming Bo Cai |
| McKell Carter |
| Ian Charest |
| Adam Charles |
| Janice Chen |
| Junichi Chikazoe |
| Hannah Choi |
| Ruben Coen-Cagli |
| Anne Collins |
| Vincent Costa |
| Gary Cottrell |
| Rosemary Cowell |
| Tolga Çukur |
| Aniruddha Das |
| Nathaniel Daw |
| Alejando De La Vega |
| Rachel N. Denison |
| James J. DiCarlo |
| Jörn Diedrichsen |
| Pamela K. Douglas |
| Jan Drugowitsch |
| Sarah DuBrow |
| Yaara Erez |
| Emily Falk |
| Vincent Ferrera |
| Daniel Figueiredo |
| Birte Forstmann |
| Alona Fyshe |
| Dileep George |
| Raphael Gerraty |
| Samuel Gershman |
| Julie Golomb |
| Iris Groen |
| J. Swaroop Guntupalli |
| Todd Gureckis |
| Hyowon Gweon |
| Ralf Haefner |
| Michael Halassa |
| David Halpern |
| Liberty Hamilton |
| Martin Hebart |
| Alex Hernández-García |
| Christopher Honey |
| Tomoyasu Horikawa |
| Laurence Hunt |
| J. Benjamin Hutchinson |
| Alexander G. Huth |
| Leyla Isik |
| Kamila Jozwik |
| Nancy Kanwisher |
| Kohitij Kar |
| Kendrick Kay |
| Roozbeh Kiani |
| Tim C. Kietzmann |
| Daniel Kimmel |
| Maedbh King |
| David Klein |
| Peter König |
| Talia Konkle |
| Anna Konova |
| Nikolaus Kriegeskorte |
| Jonas Kubilius |
| Michael Landy |
| Daniel Leeds |
| Mark Lescroart |
| Grace Lindsay |
| Brian Litt |
| Zhongming Liu |
| Bria Long |
| Olga Lositsky |
| Jeremy Manning |
| Daniele Marinazzo |
| Mackenzie Mathis |
| James Mazer |
| Patrick McClure |
| Daniel McNamee |
| Johannes Mehrer |
| Elisha Merriam |
| Nima Mesgarani |
| Yoichi Miyawaki |
| Dean Mobbs |
| Yalda Mohsenzadeh |
| Ida Momennejad |
| Andrew T Morgan |
| Caitlin Mullin |
| Marieke Mur |
| Thomas Naselaris |
| Hendrikje Nienborg |
| Shinji Nishimoto |
| Uta Noppeney |
| Bruno Olshausen |
| Hans Op de Beeck |
| Dirk Ostwald |
| Stefano Palminteri |
| Dimitrios Pantazis |
| Lucas Parra |
| John Pearson |
| Cengiz Pehlevan |
| Vassilis Pelekanos |
| Joshua Peterson |
| Xaq Pitkow |
| Russell Poldrack |
| Romain Quentin |
| Dobromir Rahnev |
| Leila Reddy |
| Blake Richards |
| J. Brendan Ritchie |
| Zvi Roth |
| Constantin Rothkopf |
| Christopher Rozell |
| Jonathan Rubin |
| Robb Rutledge |
| Mojtaba Sahraee Ardakan |
| Theodore Satterthwaite |
| Cristina Savin |
| Andrew Saxe |
| Steven Scholte |
| Paul Schrater |
| John Serences |
| Thomas Serre |
| David Soto |
| Thomas Sprague |
| Fabio Stefanini |
| Ghislain St-Yves |
| David Sussillo |
| Michael Tarr |
| Santani Teng |
| Bertrand Thirion |
| Brandon Turner |
| Anne Urai |
| Rufin VanRullen |
| Lav R. Varshney |
| Maryam Vaziri-Pashkam |
| Timothy Verstynen |
| Bradley Voytek |
| Dirk Walther |
| Susan Wardle |
| Michael Waskom |
| Leila Wehbe |
| Christoph Weidemann |
| Martin Wiener |
| G. Elliott Wimmer |
| Daniel Wolpert |
| Jacob Yates |
| Ilker Yildirim |
| Corey Ziemba |