Literature DB >> 15468734

Motion detection and prediction through spike-timing dependent plasticity.

A P Shon1, R P N Rao, T J Sejnowski.   

Abstract

We describe a possible mechanism for the formation of direction- and velocity-selective cells in visual cortex through spike-timing dependent learning. We contrast the case where only feedforward excitation and inhibition signals are provided to visual neurons with the case where both feedforward and feedback signals are provided. In the feedforward-only case, neurons become selective for a broad range of velocities centered around the training velocity. However, we show that direction selectivity in this case is strongly dependent on delayed feedforward inhibition and in contrast to experimental results, becomes dramatically weaker when inhibition is reduced. When feedback connections are introduced, direction selectivity becomes much more robust due to predictive delays encoded in recurrent activity. Direction selectivity persists in the face of decreasing inhibition in a manner similar to experimental findings. The model predicts that direction-selective cells should exhibit anticipatory activity due to recurrent excitation and suggests a pivotal role for spike-timing dependent plasticity in shaping cortical circuits for visual motion detection and prediction.

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Mesh:

Year:  2004        PMID: 15468734      PMCID: PMC2925425     

Source DB:  PubMed          Journal:  Network        ISSN: 0954-898X            Impact factor:   1.273


  29 in total

1.  Controlling activity fluctuations in large, sparsely connected random networks.

Authors:  A C Smith; X B Wu; W B Levy
Journal:  Network       Date:  2000-02       Impact factor: 1.273

2.  Experience-dependent asymmetric shape of hippocampal receptive fields.

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Journal:  Neuron       Date:  2000-03       Impact factor: 17.173

3.  Intrinsic stabilization of output rates by spike-based Hebbian learning.

Authors:  R Kempter; W Gerstner; J L van Hemmen
Journal:  Neural Comput       Date:  2001-12       Impact factor: 2.026

4.  Spike-timing-dependent Hebbian plasticity as temporal difference learning.

Authors:  R P Rao; T J Sejnowski
Journal:  Neural Comput       Date:  2001-10       Impact factor: 2.026

5.  Competitive Hebbian learning through spike-timing-dependent synaptic plasticity.

Authors:  S Song; K D Miller; L F Abbott
Journal:  Nat Neurosci       Date:  2000-09       Impact factor: 24.884

6.  Modeling reverse-phi motion-selective neurons in cortex: double synaptic-veto mechanism.

Authors:  Chun-Hui Mo; Christof Koch
Journal:  Neural Comput       Date:  2003-04       Impact factor: 2.026

7.  Self-organizing neural systems based on predictive learning.

Authors:  Rajesh P N Rao; Terrence J Sejnowski
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2003-06-15       Impact factor: 4.226

8.  Spike-based synaptic plasticity and the emergence of direction selective simple cells: simulation results.

Authors:  N J Buchs; W Senn
Journal:  J Comput Neurosci       Date:  2002 Nov-Dec       Impact factor: 1.621

9.  Spike-based synaptic plasticity and the emergence of direction selective simple cells: mathematical analysis.

Authors:  W Senn; N J Buchs
Journal:  J Comput Neurosci       Date:  2003 Mar-Apr       Impact factor: 1.621

10.  Spike propagation synchronized by temporally asymmetric Hebbian learning.

Authors:  Roland E Suri; Terrence J Sejnowski
Journal:  Biol Cybern       Date:  2002-12       Impact factor: 2.086

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  12 in total

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Journal:  Proc Natl Acad Sci U S A       Date:  2011-11-11       Impact factor: 11.205

2.  Optogenetic spatial and temporal control of cortical circuits on a columnar scale.

Authors:  Arani Roy; Jason J Osik; Neil J Ritter; Shen Wang; James T Shaw; József Fiser; Stephen D Van Hooser
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3.  An updated midline rule: visual callosal connections anticipate shape and motion in ongoing activity across the hemispheres.

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4.  Visual Stimulus Speed Does Not Influence the Rapid Emergence of Direction Selectivity in Ferret Visual Cortex.

Authors:  Neil J Ritter; Nora M Anderson; Stephen D Van Hooser
Journal:  J Neurosci       Date:  2017-01-09       Impact factor: 6.167

5.  Cortical amplification models of experience-dependent development of selective columns and response sparsification.

Authors:  Ian K Christie; Paul Miller; Stephen D Van Hooser
Journal:  J Neurophysiol       Date:  2017-05-17       Impact factor: 2.714

6.  Emerging feed-forward inhibition allows the robust formation of direction selectivity in the developing ferret visual cortex.

Authors:  Stephen D Van Hooser; Gina M Escobar; Arianna Maffei; Paul Miller
Journal:  J Neurophysiol       Date:  2014-03-05       Impact factor: 2.714

7.  In vivo spike-timing-dependent plasticity in the optic tectum of Xenopus laevis.

Authors:  Blake A Richards; Carlos D Aizenman; Colin J Akerman
Journal:  Front Synaptic Neurosci       Date:  2010-06-10

8.  GABAergic circuits control stimulus-instructed receptive field development in the optic tectum.

Authors:  Blake A Richards; Oliver P Voss; Colin J Akerman
Journal:  Nat Neurosci       Date:  2010-08-08       Impact factor: 24.884

9.  Integrated mechanisms of anticipation and rate-of-change computations in cortical circuits.

Authors:  Gabriel D Puccini; Maria V Sanchez-Vives; Albert Compte
Journal:  PLoS Comput Biol       Date:  2007-03-26       Impact factor: 4.475

10.  A proto-architecture for innate directionally selective visual maps.

Authors:  Samantha V Adams; Chris M Harris
Journal:  PLoS One       Date:  2014-07-23       Impact factor: 3.240

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