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Transcript
Department of Statistics
SCIENTIFIC AND STATISTICAL COMPUTING SEMINAR
JONATHAN PILLOW
Neuroscience Institute
Princeton University
Unlocking Single-Trial Dynamics in Parietal Cortex During
Decision-Making
THURSDAY, May 28, 2015 at 4:30 PM
133 Eckhart Hall, 5734 S. University Avenue
ABSTRACT
Neural firing rates in the macaque lateral intraparietal (LIP) cortex exhibit gradual "ramping"
that is commonly believed to reflect the accumulation of sensory evidence during decisionmaking. However, ramping that appears in trial-averaged responses does not necessarily imply
spike rate ramps on single trials; a ramping average could also arise from instantaneous steps that
occur at different times on different trials. In this talk, I will describe an approach to this problem
based on explicit statistical latent-dynamical models of spike trains. We analyzed LIP spike
responses using spike train models with: (1) ramping "accumulation-to-bound" dynamics; and
(2) discrete "stepping" or "switching" dynamics. Surprisingly, we found that roughly three
quarters of choice-selective neurons in LIP are better explained by a model with stepping
dynamics. We show that the stepping model provides an accurate description of LIP spike trains,
allows for accurate decoding of decisions, and reveals latent structure that is hidden by
conventional stimulus-aligned analyses.
_______________________________
Organizers:
Lek-Heng Lim, Department of Statistics, [email protected], Ridgway Scott, Departments of Computer
Science and Mathematics, [email protected], Jonathan Weare, Department of Statistics and The James Franck
Institute, [email protected]. SSC Seminar URL: http://www.stat.uchicago.edu/seminars/SSC\_seminars.shtml.
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