Traveling pulses in a stochastic neural field model of direction selectivity

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 no...

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Main Authors: Paul C Bressloff, Jeremy eWilkerson
Format: Article
Language:English
Published: Frontiers Media S.A. 2012-10-01
Series:Frontiers in Computational Neuroscience
Subjects:
Online Access:http://journal.frontiersin.org/Journal/10.3389/fncom.2012.00090/full
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author Paul C Bressloff
Jeremy eWilkerson
author_facet Paul C Bressloff
Jeremy eWilkerson
author_sort Paul C Bressloff
collection DOAJ
description 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.
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spelling doaj.art-be484fdd86084dc28e5cea345a2ed7092022-12-21T19:04:10ZengFrontiers Media S.A.Frontiers in Computational Neuroscience1662-51882012-10-01610.3389/fncom.2012.0009037078Traveling pulses in a stochastic neural field model of direction selectivityPaul C Bressloff0Jeremy eWilkerson1University of UtahUniversity of UtahWe 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.http://journal.frontiersin.org/Journal/10.3389/fncom.2012.00090/fulltraveling wavesstochastic processesDirection Selectivityneural field theorystimulus-driven
spellingShingle Paul C Bressloff
Jeremy eWilkerson
Traveling pulses in a stochastic neural field model of direction selectivity
Frontiers in Computational Neuroscience
traveling waves
stochastic processes
Direction Selectivity
neural field theory
stimulus-driven
title Traveling pulses in a stochastic neural field model of direction selectivity
title_full Traveling pulses in a stochastic neural field model of direction selectivity
title_fullStr Traveling pulses in a stochastic neural field model of direction selectivity
title_full_unstemmed Traveling pulses in a stochastic neural field model of direction selectivity
title_short Traveling pulses in a stochastic neural field model of direction selectivity
title_sort traveling pulses in a stochastic neural field model of direction selectivity
topic traveling waves
stochastic processes
Direction Selectivity
neural field theory
stimulus-driven
url http://journal.frontiersin.org/Journal/10.3389/fncom.2012.00090/full
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AT jeremyewilkerson travelingpulsesinastochasticneuralfieldmodelofdirectionselectivity