| Paper: | PS-2A.4 |
| Session: | Poster Session 2A |
| Location: | Symphony/Overture |
| Session Time: | Friday, September 7, 17:15 - 19:15 |
| Presentation Time: | Friday, September 7, 17:15 - 19:15 |
| Presentation: |
Poster
|
| Publication: |
2018 Conference on Cognitive Computational Neuroscience, 5-8 September 2018, Philadelphia, Pennsylvania |
| Paper Title: |
Izhikevich Models For Hippocampal Neurons And Its Sub-Region CA3 |
| Manuscript: |
Click here to view manuscript |
| DOI: |
https://doi.org/10.32470/CCN.2018.1189-0 |
| Authors: |
Priyamvada Modak, V. Srinivasa Chakravarthy, Indian Institute of Technology Madras, India |
| Abstract: |
Development of computational models of brain regions has always suffered a tradeoff between rendering computational efficiency by using simple models and capturing rich neuronal dynamics using detailed biophysical models. The development of Izhikevich neuron model in last decade has provided a way out of this predicament since it is both computationally efficient and biologically plausible. Present work is relevant to the ongoing hippocampal research. In this work, the Izhikevich neuron models have been produced for a total of 7 types of neurons in the hippocampus. The Izhikevich neuron parameters were tuned to reproduce the current-frequency profiles of these neurons, obtained from literature, using the genetic algorithm. Further, using the Izhikevich neurons of CA3, a network of CA3 has been constructed which is able to produce baseline activity of CA3 as observed in-vivo and therefore, qualifies as a reliable representation of the region. The network models of CA3 including both excitatory and inhibitory neurons use either biophysical neurons, lacking scalability or use Integrate and fire neurons which are not as biologically relevant. Development of the Izhikevich models of CA3 and DG neurons, and Izhikevich network model of CA3 comprising both excitatory and inhibitory neurons form the novelty of this work. |
