Inference of the time-varying relationship between spike trains and a latent decision variable
Thomas Luo,Brian DePasquale,Carlos D. Brody,Timothy Kim · COSYNE 2022
Drift-diffusion models have been widely used to study the neural mechanisms of decisions guided by noisy stimuli. In this framework, momentary evidence is integrated through a scalar decision variable, which has been found to correlate with spike rates in many brain areas. However, the relationship between the decision variable (i.e., accumulated evidence) and spike rate is widely assumed to be fixed over the course of a single trial, even though sensory and motor weights on spiking activity vary over time. Allowing the weight of the decision variable to be temporally inhomogeneous may capture
Sat, Mar 19, 2022