Literature DB >> 11440594

Stationary bumps in networks of spiking neurons.

C R Laing, C C Chow.   

Abstract

We examine the existence and stability of spatially localized "bumps" of neuronal activity in a network of spiking neurons. Bumps have been proposed in mechanisms of visual orientation tuning, the rat head direction system, and working memory. We show that a bump solution can exist in a spiking network provided the neurons fire asynchronously within the bump. We consider a parameter regime where the bump solution is bistable with an all-off state and can be initiated with a transient excitatory stimulus. We show that the activity profile matches that of a corresponding population rate model. The bump in a spiking network can lose stability through partial synchronization to either a traveling wave or the all-off state. This can occur if the synaptic timescale is too fast through a dynamical effect or if a transient excitatory pulse is applied to the network. A bump can thus be activated and deactivated with excitatory inputs that may have physiological relevance.

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Year:  2001        PMID: 11440594     DOI: 10.1162/089976601750264974

Source DB:  PubMed          Journal:  Neural Comput        ISSN: 0899-7667            Impact factor:   2.026


  43 in total

1.  Turning on and off with excitation: the role of spike-timing asynchrony and synchrony in sustained neural activity.

Authors:  B S Gutkin; C R Laing; C L Colby; C C Chow; G B Ermentrout
Journal:  J Comput Neurosci       Date:  2001 Sep-Oct       Impact factor: 1.621

2.  Localized bumps of activity sustained by inhibition in a two-layer thalamic network.

Authors:  J Rubin; D Terman; C Chow
Journal:  J Comput Neurosci       Date:  2001 May-Jun       Impact factor: 1.621

Review 3.  A spiking neuron model for binocular rivalry.

Authors:  Carlo R Laing; Carson C Chow
Journal:  J Comput Neurosci       Date:  2002 Jan-Feb       Impact factor: 1.621

4.  Coarse-grained reduction and analysis of a network model of cortical response: I. Drifting grating stimuli.

Authors:  Michael Shelley; David McLaughlin
Journal:  J Comput Neurosci       Date:  2002 Mar-Apr       Impact factor: 1.621

5.  Sensory feedback in a bump attractor model of path integration.

Authors:  Daniel B Poll; Khanh Nguyen; Zachary P Kilpatrick
Journal:  J Comput Neurosci       Date:  2016-01-11       Impact factor: 1.621

6.  A continuous attractor network model without recurrent excitation: maintenance and integration in the head direction cell system.

Authors:  Christian Boucheny; Nicolas Brunel; Angelo Arleo
Journal:  J Comput Neurosci       Date:  2005 Mar-Apr       Impact factor: 1.621

7.  Synaptic mechanisms of persistent reverberatory activity in neuronal networks.

Authors:  Pak-Ming Lau; Guo-Qiang Bi
Journal:  Proc Natl Acad Sci U S A       Date:  2005-07-08       Impact factor: 11.205

8.  On the application of "equation-free modelling" to neural systems.

Authors:  Carlo R Laing
Journal:  J Comput Neurosci       Date:  2006-02-20       Impact factor: 1.621

9.  Flexible frequency control of cortical oscillations enables computations required for working memory.

Authors:  Mario Dipoppa; Boris S Gutkin
Journal:  Proc Natl Acad Sci U S A       Date:  2013-07-15       Impact factor: 11.205

10.  A layered neural architecture for the consolidation, maintenance, and updating of representations in visual working memory.

Authors:  Jeffrey S Johnson; John P Spencer; Gregor Schöner
Journal:  Brain Res       Date:  2009-07-14       Impact factor: 3.252

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