Literature DB >> 8840229

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

U Fuentes1, R Ritz, W Gerstner, J L Van Hemmen.   

Abstract

A model of vertical signal flow across a layered cortical structure is presented and analyzed. Neurons communicate through spikes, which evoke an excitatory or inhibitory postsynaptic potential (spike response model). The layers incorporate two anatomical features-dendritic and axonal arborization patterns and distance-dependent time delays. The vertical signal flow through the network is discussed for various stimulus conditions using two different, but typical, axonal arborization patterns. We find stationary as well as oscillatory response, but the oscillatory response may be restricted to a single layer. Confronted with conflicting stimuli the network separates the patterns through phase-shifted oscillations. We also discuss two hypothetical animals, to be called "cat" and "mouse." These have different axonal arborizations, which give rise to a different oscillatory response (if any) of the various layers.

Entities:  

Mesh:

Year:  1996        PMID: 8840229     DOI: 10.1007/bf00160808

Source DB:  PubMed          Journal:  J Comput Neurosci        ISSN: 0929-5313            Impact factor:   1.621


  27 in total

1.  Stimulus-Dependent Neuronal Oscillations in Cat Visual Cortex: Receptive Field Properties and Feature Dependence.

Authors:  Charles M. Gray; Andreas K. Engel; Peter König; Wolf Singer
Journal:  Eur J Neurosci       Date:  1990       Impact factor: 3.386

2.  Oscillatory Neuronal Responses in the Visual Cortex of the Awake Macaque Monkey.

Authors:  A. K. Kreiter; W. Singer
Journal:  Eur J Neurosci       Date:  1992       Impact factor: 3.386

3.  Oscillatory discharge in the visual system: does it have a functional role?

Authors:  G M Ghose; R D Freeman
Journal:  J Neurophysiol       Date:  1992-11       Impact factor: 2.714

Review 4.  Distributed hierarchical processing in the primate cerebral cortex.

Authors:  D J Felleman; D C Van Essen
Journal:  Cereb Cortex       Date:  1991 Jan-Feb       Impact factor: 5.357

5.  Characteristics of neuronal systems in the visual cortex.

Authors:  W von Seelen; H A Mallot; F Giannakopoulos
Journal:  Biol Cybern       Date:  1987       Impact factor: 2.086

6.  A neural cocktail-party processor.

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

Review 7.  Circuitry, architecture, and functional dynamics of visual cortex.

Authors:  C D Gilbert
Journal:  Cereb Cortex       Date:  1993 Sep-Oct       Impact factor: 5.357

8.  Synaptic physiology of horizontal afferents to layer I in slices of rat SI neocortex.

Authors:  L J Cauller; B W Connors
Journal:  J Neurosci       Date:  1994-02       Impact factor: 6.167

9.  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

10.  Clustered intrinsic connections in cat visual cortex.

Authors:  C D Gilbert; T N Wiesel
Journal:  J Neurosci       Date:  1983-05       Impact factor: 6.167

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  2 in total

1.  Ongoing spontaneous activity controls access to consciousness: a neuronal model for inattentional blindness.

Authors:  Stanislas Dehaene; Jean-Pierre Changeux
Journal:  PLoS Biol       Date:  2005-04-12       Impact factor: 8.029

Review 2.  Correlated neuronal activity and the flow of neural information.

Authors:  E Salinas; T J Sejnowski
Journal:  Nat Rev Neurosci       Date:  2001-08       Impact factor: 34.870

  2 in total

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