Literature DB >> 19003493

Towards a unifying model of neural net activity in the visual cortex.

Hermann Haken1.   

Abstract

A neural net model describing the non-linear interactions between axonal spikes is presented. It reconciles aspects of pattern recognition (as action of an associative memory) with those of spike synchronization and phase locking. The stability of the synchronized state is studied in detail.

Year:  2007        PMID： 19003493      PMCID： PMC2288950          DOI： 10.1007/s11571-006-9005-6

Source DB:  PubMed          Journal:  Cogn Neurodyn        ISSN： 1871-4080            Impact factor:   5.082


  9 in total

Review 1.  Neuronal synchrony: a versatile code for the definition of relations?

Authors:  W Singer
Journal:  Neuron       Date:  1999-09       Impact factor: 17.173

2.  Dynamics of strongly-coupled spiking neurons.

Authors:  P C Bressloff; S Coombes
Journal:  Neural Comput       Date:  2000-01       Impact factor: 2.026

Review 3.  Time as coding space?

Authors:  W Singer
Journal:  Curr Opin Neurobiol       Date:  1999-04       Impact factor: 6.627

Review 4.  Synergetics of brain function.

Authors:  Hermann Haken
Journal:  Int J Psychophysiol       Date:  2006-03-09       Impact factor: 2.997

5.  Time structure of the activity in neural network models.

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Journal:  Phys Rev E Stat Phys Plasmas Fluids Relat Interdiscip Topics       Date:  1995-01

6.  Partial synchronization in populations of pulse-coupled oscillators.

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Journal:  Phys Rev E Stat Phys Plasmas Fluids Relat Interdiscip Topics       Date:  1996-11

7.  Stimulus-specific neuronal oscillations in orientation columns of cat visual cortex.

Authors:  C M Gray; W Singer
Journal:  Proc Natl Acad Sci U S A       Date:  1989-03       Impact factor: 11.205

8.  Coherent oscillations: a mechanism of feature linking in the visual cortex? Multiple electrode and correlation analyses in the cat.

Authors:  R Eckhorn; R Bauer; W Jordan; M Brosch; W Kruse; M Munk; H J Reitboeck
Journal:  Biol Cybern       Date:  1988       Impact factor: 2.086

9.  Neural networks and physical systems with emergent collective computational abilities.

Authors:  J J Hopfield
Journal:  Proc Natl Acad Sci U S A       Date:  1982-04       Impact factor: 11.205
  9 in total
  7 in total

1.  Modeling brain dynamics using computational neurogenetic approach.

Authors:  Lubica Benuskova; Nikola Kasabov
Journal:  Cogn Neurodyn       Date:  2008-09-16       Impact factor: 5.082

2.  Engineering-approach accelerates computational understanding of V1-V2 neural properties.

Authors:  Shunji Satoh; Shiro Usui
Journal:  Cogn Neurodyn       Date:  2008-09-26       Impact factor: 5.082

3.  A method for the estimation of functional brain connectivity from time-series data.

Authors:  A Wilmer; M H E de Lussanet; M Lappe
Journal:  Cogn Neurodyn       Date:  2010-03-06       Impact factor: 5.082

4.  Energy coding in neural network with inhibitory neurons.

Authors:  Ziyin Wang; Rubin Wang; Ruiyan Fang
Journal:  Cogn Neurodyn       Date:  2014-10-01       Impact factor: 5.082

5.  Synchronization of chaotic nonlinear continuous neural networks with time-varying delay.

Authors:  P Balasubramaniam; R Chandran; S Jeeva Sathya Theesar
Journal:  Cogn Neurodyn       Date:  2011-07-06       Impact factor: 5.082

6.  Energy distribution property and energy coding of a structural neural network.

Authors:  Ziyin Wang; Rubin Wang
Journal:  Front Comput Neurosci       Date:  2014-02-21       Impact factor: 2.380

7.  What Can Synergetics Contribute to Embodied Aesthetics?

Authors:  Hermann Haken
Journal:  Behav Sci (Basel)       Date:  2017-09-02
  7 in total

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