Literature DB >> 12567015

Propagating waves in visual cortex: a large-scale model of turtle visual cortex.

Zoran Nenadic1, Bijoy K Ghosh, Philip Ulinski.   

Abstract

This article describes a large-scale model of turtle visual cortex that simulates the propagating waves of activity seen in real turtle cortex. The cortex model contains 744 multicompartment models of pyramidal cells, stellate cells, and horizontal cells. Input is provided by an array of 201 geniculate neurons modeled as single compartments with spike-generating mechanisms and axons modeled as delay lines. Diffuse retinal flashes or presentation of spots of light to the retina are simulated by activating groups of geniculate neurons. The model is limited in that it does not have a retina to provide realistic input to the geniculate, and the cortex and does not incorporate all of the biophysical details of real cortical neurons. However, the model does reproduce the fundamental features of planar propagating waves. Activation of geniculate neurons produces a wave of activity that originates at the rostrolateral pole of the cortex at the point where a high density of geniculate afferents enter the cortex. Waves propagate across the cortex with velocities of 4 microm/ms to 70 microm/ms and occasionally reflect from the caudolateral border of the cortex.

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Year:  2003        PMID: 12567015     DOI: 10.1023/a:1021954701494

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


  42 in total

1.  Direct evidence for local oscillatory current sources and intracortical phase gradients in turtle visual cortex.

Authors:  J C Prechtl; T H Bullock; D Kleinfeld
Journal:  Proc Natl Acad Sci U S A       Date:  2000-01-18       Impact factor: 11.205

2.  Role of GABA(A)-mediated inhibition in controlling the responses of regular spiking cells in turtle visual cortex.

Authors:  J G Mancilla; P S Ulinski
Journal:  Vis Neurosci       Date:  2001 Jan-Feb       Impact factor: 3.241

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4.  Correspondence between visually evoked voltage-sensitive dye signals and synaptic activity recorded in cortical pyramidal cells with intracellular microelectrodes.

Authors:  D M Senseman
Journal:  Vis Neurosci       Date:  1996 Sep-Oct       Impact factor: 3.241

5.  Spatial organization of axons in turtle visual cortex: intralamellar and interlamellar projections.

Authors:  C E Cosans; P S Ulinski
Journal:  J Comp Neurol       Date:  1990-06-22       Impact factor: 3.215

6.  Synaptic responses of cortical pyramidal neurons to light stimulation in the isolated turtle visual system.

Authors:  A R Kriegstein
Journal:  J Neurosci       Date:  1987-08       Impact factor: 6.167

7.  The organization of the turtle inner retina. II. Analysis of color-coded and directionally selective cells.

Authors:  J Ammermüller; J F Muller; H Kolb
Journal:  J Comp Neurol       Date:  1995-07-17       Impact factor: 3.215

8.  Cortical point-spread function and long-range lateral interactions revealed by real-time optical imaging of macaque monkey primary visual cortex.

Authors:  A Grinvald; E E Lieke; R D Frostig; R Hildesheim
Journal:  J Neurosci       Date:  1994-05       Impact factor: 6.167

9.  Spatiotemporal properties of layer V neurons of the rat primary somatosensory cortex.

Authors:  A A Ghazanfar; M A Nicolelis
Journal:  Cereb Cortex       Date:  1999-06       Impact factor: 5.357

10.  Periodicity and directionality in the propagation of epileptiform discharges across neocortex.

Authors:  R D Chervin; P A Pierce; B W Connors
Journal:  J Neurophysiol       Date:  1988-11       Impact factor: 2.714

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  9 in total

1.  Extracting wave structure from biological data with application to responses in turtle visual cortex.

Authors:  Kay A Robbins; David M Senseman
Journal:  J Comput Neurosci       Date:  2004 May-Jun       Impact factor: 1.621

2.  Oscillations in large-scale cortical networks: map-based model.

Authors:  N F Rulkov; I Timofeev; M Bazhenov
Journal:  J Comput Neurosci       Date:  2004 Sep-Oct       Impact factor: 1.621

3.  Two cortical circuits control propagating waves in visual cortex.

Authors:  Wenxue Wang; Clay Campaigne; Bijoy K Ghosh; Philip S Ulinski
Journal:  J Comput Neurosci       Date:  2005-12       Impact factor: 1.621

Review 4.  Simulation of networks of spiking neurons: a review of tools and strategies.

Authors:  Romain Brette; Michelle Rudolph; Ted Carnevale; Michael Hines; David Beeman; James M Bower; Markus Diesmann; Abigail Morrison; Philip H Goodman; Frederick C Harris; Milind Zirpe; Thomas Natschläger; Dejan Pecevski; Bard Ermentrout; Mikael Djurfeldt; Anders Lansner; Olivier Rochel; Thierry Vieville; Eilif Muller; Andrew P Davison; Sami El Boustani; Alain Destexhe
Journal:  J Comput Neurosci       Date:  2007-07-12       Impact factor: 1.621

5.  Slow and fast pulses in 1-D cultures of excitatory neurons.

Authors:  E Alvarez-Lacalle; E Moses
Journal:  J Comput Neurosci       Date:  2009-01-24       Impact factor: 1.621

6.  Novel use of matched filtering for synaptic event detection and extraction.

Authors:  Yulin Shi; Zoran Nenadic; Xiangmin Xu
Journal:  PLoS One       Date:  2010-11-24       Impact factor: 3.240

7.  Laminar circuit organization and response modulation in mouse visual cortex.

Authors:  Nicholas D Olivas; Victor Quintanar-Zilinskas; Zoran Nenadic; Xiangmin Xu
Journal:  Front Neural Circuits       Date:  2012-10-05       Impact factor: 3.492

8.  Slow feature analysis on retinal waves leads to V1 complex cells.

Authors:  Sven Dähne; Niko Wilbert; Laurenz Wiskott
Journal:  PLoS Comput Biol       Date:  2014-05-08       Impact factor: 4.475

9.  Alpha oscillations and traveling waves: Signatures of predictive coding?

Authors:  Andrea Alamia; Rufin VanRullen
Journal:  PLoS Biol       Date:  2019-10-03       Impact factor: 8.029

  9 in total

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