Literature DB >> 8386552

A biologically motivated and analytically soluble model of collective oscillations in the cortex. I. Theory of weak locking.

W Gerstner1, R Ritz, J L van Hemmen.   

Abstract

A model of an associative network of spiking neurons with stationary states, globally locked oscillations, and weakly locked oscillatory states is presented and analyzed. The network is close to biology in the following sense. First, the neurons spike and our model includes an absolute refractory period after each spike. Second, we consider a distribution of axonal delay times. Finally, we describe synaptic signal transmission by excitatory and inhibitory potentials (EPSP and IPSP) with a realistic shape, that is, through a response kernel. During retrieval of a pattern, all active neurons exhibit periodic spike bursts which may or may not be synchronized ('locked') into a coherent oscillation. We derive an analytical condition of locking and calculate the period of collective activity during oscillatory retrieval. In a stationary retrieval state, the overlap assumes a constant value proportional to the mean firing rate of the neurons. It is argued that in a biological network an intermediate scenario of 'weak locking' is most likely.

Mesh:

Year:  1993        PMID: 8386552     DOI: 10.1007/bf00201861

Source DB:  PubMed          Journal:  Biol Cybern        ISSN: 0340-1200            Impact factor:   2.086


  27 in total

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Journal:  Proc Natl Acad Sci U S A       Date:  1990-09       Impact factor: 11.205

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Journal:  Biol Cybern       Date:  1990       Impact factor: 2.086

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Authors:  H G Schuster; P Wagner
Journal:  Biol Cybern       Date:  1990       Impact factor: 2.086

5.  A model of the mechanisms of long-term potentiation in the hippocampus.

Authors:  T Kitajima; K Hara
Journal:  Biol Cybern       Date:  1990       Impact factor: 2.086

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Authors:  J Lisman
Journal:  Proc Natl Acad Sci U S A       Date:  1989-12       Impact factor: 11.205

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Journal:  Nature       Date:  1986 Apr 10-16       Impact factor: 49.962

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Authors:  C von der Malsburg; W Schneider
Journal:  Biol Cybern       Date:  1986       Impact factor: 2.086

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Authors:  H R Wilson; J D Cowan
Journal:  Biophys J       Date:  1972-01       Impact factor: 4.033

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

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  10 in total

1.  Vertical signal flow and oscillations in a three-layer model of the cortex.

Authors:  U Fuentes; R Ritz; W Gerstner; J L Van Hemmen
Journal:  J Comput Neurosci       Date:  1996-06       Impact factor: 1.621

2.  Inhibition of sustained gamma oscillations (35-80 Hz) by fast transient responses in cat visual cortex.

Authors:  W Kruse; R Eckhorn
Journal:  Proc Natl Acad Sci U S A       Date:  1996-06-11       Impact factor: 11.205

3.  Modeling motor cortical operations by an attractor network of stochastic neurons.

Authors:  A V Lukashin; B R Amirikian; V L Mozhaev; G L Wilcox; A P Georgopoulos
Journal:  Biol Cybern       Date:  1996-03       Impact factor: 2.086

4.  Why spikes? Hebbian learning and retrieval of time-resolved excitation patterns.

Authors:  W Gerstner; R Ritz; J L van Hemmen
Journal:  Biol Cybern       Date:  1993       Impact factor: 2.086

5.  An associative memory that can form hypotheses: a phase-coded neural network.

Authors:  N Kunstmann; C Hillermeier; B Rabus; P Tavan
Journal:  Biol Cybern       Date:  1994       Impact factor: 2.086

6.  A ternary logic model for recurrent neuromime networks with delay.

Authors:  R D Hangartner; P Cull
Journal:  Biol Cybern       Date:  1995-07       Impact factor: 2.086

7.  A biologically motivated and analytically soluble model of collective oscillations in the cortex. II. Application to binding and pattern segmentation.

Authors:  R Ritz; W Gerstner; U Fuentes; J L van Hemmen
Journal:  Biol Cybern       Date:  1994       Impact factor: 2.086

8.  Coupled oscillators utilised as gait rhythm generators of a two-legged walking machine.

Authors:  T Zielińska
Journal:  Biol Cybern       Date:  1996-03       Impact factor: 2.086

9.  Lateral information processing by spiking neurons: a theoretical model of the neural correlate of consciousness.

Authors:  Marc Ebner; Stuart Hameroff
Journal:  Comput Intell Neurosci       Date:  2011-10-23

10.  Excitable neuronal assemblies with adaptation as a building block of brain circuits for velocity-controlled signal propagation.

Authors:  Hesam Setareh; Moritz Deger; Wulfram Gerstner
Journal:  PLoS Comput Biol       Date:  2018-07-06       Impact factor: 4.475

  10 in total

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