Abstract: I plan to discuss insights about the nature of neural noise and computation. I will also address neural mechanisms involved in decision making and bring the two topics together by introducing new tools that reveal noisy evidence accumulation (e.g., drift-diffusion) in the spike-trains of single neurons on single trials during decision formation.
Sunday, June 9, 2013
Prof. Michael Shadlen: June 12th
Title: Firing rate autocorrelation as a signature of noisy evidence accumulation
Abstract: I plan to discuss insights about the nature of neural noise and computation. I will also address neural mechanisms involved in decision making and bring the two topics together by introducing new tools that reveal noisy evidence accumulation (e.g., drift-diffusion) in the spike-trains of single neurons on single trials during decision formation.
Abstract: I plan to discuss insights about the nature of neural noise and computation. I will also address neural mechanisms involved in decision making and bring the two topics together by introducing new tools that reveal noisy evidence accumulation (e.g., drift-diffusion) in the spike-trains of single neurons on single trials during decision formation.
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