Traveling pulses in a stochastic neural field model of direction selectivity

Frontiers in Computational Neuroscience

Jeremy eWilkerson¹  Paul C Bressloff¹ 

[1] University of Utah;

关键词: traveling waves;    stochastic processes;    Direction Selectivity;    neural field theory;    stimulus-driven;   

DOI  :  10.3389/fncom.2012.00090

来源: DOAJ

【 摘 要 】

We analyze the effects of extrinsic noise on traveling pulses in a neural field model of direction selectivity. The model consists of a one-dimensional scalar neural field with an asymmetric weight distribution consisting of an offset Mexican hat function. We first show how, in the absence of any noise, the system supports spontaneously propagating traveling pulses that can lock to externally moving stimuli. Using a separation of time scales and perturbation methods previously developed for stochastic reaction-diffusion equations, we then show how extrinsic noise in the activity variables leads to a diffusive-like displacement (wandering) of the wave from its uniformly translating position at long time scales, and fluctuations in the wave profile around its instantaneous position at short time scales. In the case of freely propagating pulses, the wandering is characterized by pure Brownian motion, whereas in the case of stimulus-locked pulses, it is given by an Ornstein-Uhlenbeck process. This establishes that stimulus-locked pulses are more robust to noise.

【 授权许可】

Unknown