Literature DB >> 8872703

A quantitative population model of whisker barrels: re-examining the Wilson-Cowan equations.

D J Pinto1, J C Brumberg, D J Simons, G B Ermentrout.   

Abstract

Beginning from a biologically based integrate and fire model of a rat whisker barrel, we employ semirigorous techniques to reduce the system to a simple set of equations, similar to the Wilson-Cowan equations, while retaining the ability for both qualitative and quantitative comparisons with the biological system. This is made possible through the clarification of three distinct measures of population activity: voltage, firing rate, and a new term called synaptic drive. The model is activated by prerecorded neural activity obtained from thalamic "barreloid" neurons in response to whisker stimuli. Output is produced in the form of population PSTHs, one each corresponding to activity of spiny (excitatory) and smooth (inhibitory) barrel neurons, which is quantitatively comparable to PSTHs from electrophysiologically studied regular-spike and fast-spike neurons. Through further analysis, the model yields novel physiological predictions not readily apparent from the full model or from experimental studies.

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Mesh:

Year:  1996        PMID: 8872703     DOI: 10.1007/bf00161134

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


  45 in total

1.  Anatomical and physiological evidence for a cerebellar nucleo-cortical projection in the cat.

Authors:  D L Tolbert; H Bantli; J R Bloedel
Journal:  Neuroscience       Date:  1976-06       Impact factor: 3.590

2.  Changes in the distributed temporal response properties of SI cortical neurons reflect improvements in performance on a temporally based tactile discrimination task.

Authors:  G H Recanzone; M M Merzenich; C E Schreiner
Journal:  J Neurophysiol       Date:  1992-05       Impact factor: 2.714

3.  Theory of correlations in stochastic neural networks.

Authors: 
Journal:  Phys Rev E Stat Phys Plasmas Fluids Relat Interdiscip Topics       Date:  1994-10

4.  Comparative electrophysiology of pyramidal and sparsely spiny stellate neurons of the neocortex.

Authors:  D A McCormick; B W Connors; J W Lighthall; D A Prince
Journal:  J Neurophysiol       Date:  1985-10       Impact factor: 2.714

5.  RF-cell: a model for populations of randomly interconnected neurons.

Authors:  M Skondras
Journal:  Bull Math Biol       Date:  1988       Impact factor: 1.758

6.  Excitatory and inhibitory interactions in localized populations of model neurons.

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

7.  Association between brain temperature and dentate field potentials in exploring and swimming rats.

Authors:  E Moser; I Mathiesen; P Andersen
Journal:  Science       Date:  1993-02-26       Impact factor: 47.728

8.  Thalamocortical response transformations in simulated whisker barrels.

Authors:  H T Kyriazi; D J Simons
Journal:  J Neurosci       Date:  1993-04       Impact factor: 6.167

9.  Distinguishing theoretical synaptic potentials computed for different soma-dendritic distributions of synaptic input.

Authors:  W Rall
Journal:  J Neurophysiol       Date:  1967-09       Impact factor: 2.714

10.  The structural organization of layer IV in the somatosensory region (SI) of mouse cerebral cortex. The description of a cortical field composed of discrete cytoarchitectonic units.

Authors:  T A Woolsey; H Van der Loos
Journal:  Brain Res       Date:  1970-01-20       Impact factor: 3.252

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  35 in total

1.  A model of ocular dominance column development by competition for trophic factor: effects of excess trophic factor with monocular deprivation and effects of antagonist of trophic factor.

Authors:  A E Harris; G B Ermentrout; S L Small
Journal:  J Comput Neurosci       Date:  2000 May-Jun       Impact factor: 1.621

2.  Effects of neuromodulation in a cortical network model of object working memory dominated by recurrent inhibition.

Authors:  N Brunel; X J Wang
Journal:  J Comput Neurosci       Date:  2001 Jul-Aug       Impact factor: 1.621

3.  Thalamocortical angular tuning domains within individual barrels of rat somatosensory cortex.

Authors:  Randy M Bruno; Vivek Khatri; Peter W Land; Daniel J Simons
Journal:  J Neurosci       Date:  2003-10-22       Impact factor: 6.167

4.  Characterization of thalamocortical responses of regular-spiking and fast-spiking neurons of the mouse auditory cortex in vitro and in silico.

Authors:  Max L Schiff; Alex D Reyes
Journal:  J Neurophysiol       Date:  2011-11-16       Impact factor: 2.714

5.  Mechanism for the universal pattern of activity in developing neuronal networks.

Authors:  Joël Tabak; Michael Mascagni; Richard Bertram
Journal:  J Neurophysiol       Date:  2010-02-17       Impact factor: 2.714

6.  Differential control of active and silent phases in relaxation models of neuronal rhythms.

Authors:  Joël Tabak; Michael J O'Donovan; John Rinzel
Journal:  J Comput Neurosci       Date:  2006-07-28       Impact factor: 1.621

7.  Balanced amplification: a new mechanism of selective amplification of neural activity patterns.

Authors:  Brendan K Murphy; Kenneth D Miller
Journal:  Neuron       Date:  2009-02-26       Impact factor: 17.173

8.  Feedforward inhibition determines the angular tuning of vibrissal responses in the principal trigeminal nucleus.

Authors:  Marie-Andrée Bellavance; Maxime Demers; Martin Deschênes
Journal:  J Neurosci       Date:  2010-01-20       Impact factor: 6.167

9.  Contrast-invariant orientation tuning in cat visual cortex: thalamocortical input tuning and correlation-based intracortical connectivity.

Authors:  T W Troyer; A E Krukowski; N J Priebe; K D Miller
Journal:  J Neurosci       Date:  1998-08-01       Impact factor: 6.167

10.  Modeling the emergence of whisker direction maps in rat barrel cortex.

Authors:  Stuart P Wilson; Judith S Law; Ben Mitchinson; Tony J Prescott; James A Bednar
Journal:  PLoS One       Date:  2010-01-22       Impact factor: 3.240

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