Technical Program

Paper Detail

Paper: GS-4.2
Session: Contributed Talks IV
Location: Ormandy
Session Time: Friday, September 7, 09:50 - 10:30
Presentation Time:Friday, September 7, 10:10 - 10:30
Presentation: Oral
Publication: 2018 Conference on Cognitive Computational Neuroscience, 5-8 September 2018, Philadelphia, Pennsylvania
Paper Title: Learned context dependent categorical perception in a songbird
Manuscript:  Click here to view manuscript
Authors: Tim Sainburg, Marvin Thielk, Timothy Gentner, University of California San Diego, United States
Abstract: To distinguish between vocal elements in communication, both songbirds and humans rely on categorical perception (CP) of smoothly varying acoustic spaces. Boundaries in CP are often not fixed, and can be biased, in both human speech and birdsong, by context. How contexutal information biases CP is not well understood. Here, we manipulate the information contained in auditory contextual cues to control CP of natural stimuli, using a 2-Alternative Choice (2AC) behavioral paradigm. We show that contextual information can bias CP of a smoothly varying acoustic stimuli, indicating that probabilistic inference contributes to context dependant perception. We follow this task with acute extracellular multichannel recordings on the secondary auditory nuclei caudal mesopallium (CM) and caudo-medial nidopallium (NCM) in the trained birds, investigating CP and contextual-related shifts in neural responses.