Initial conditions combine with sensory evidence to induce decision-related dynamics in PMd
Pierre Boucher, Tian Wang, Laura Carceroni, Gary Kane, Krishna Shenoy, Chandramouli Chandrasekaran · COSYNE 2023
We employed a dynamical systems perspective to bridge decision-related neural activity and decision-making behavior, a fundamentally unresolved problem. The dynamical systems approach posits that neural dynamics (X) are parameterized by a state equation (dX/dt=F(X)+U) with varying initial conditions (x0) and that evolves in time by combining at each time step, recurrent activity (F) and inputs (U). We considered different dynamical systems that make predictions about whether 1) initial conditions substantially predict subsequent dynamics and reaction time (RT) and/or choice, and 2) whether i
Sun, Mar 12, 2023