Literature DB >> 23345872

Neuromodulatory control of neocortical microcircuits with activity-dependent short-term synaptic depression.

Bo Cartling1.   

Abstract

A biophysical model of a neocortical microcircuit system is formulated and employed in studies of neuromodulatory control of dynamics and function. The model is based on recent observations of reciprocal connections between pyramidal cells and inhibitory interneurons and incorporates a new type of activity-dependent short-term depression of synaptic couplings recently observed. The model neurons are of a low-dimensional type also accounting for neuronal adaptation, i.e. the coupling between neuronal activity and excitability, which can be regulated by various neuromodulators in the brain. The results obtained demonstrate a capacity for neuromodulatory control of dynamical mode linked to functional mode. The functional aspects considered refer to the observed resolution of multiple objects in working memory as well as the binding of different features for the perception of an object. The effects of neuromodulators displayed by the model are in accordance with many observations on neuromodulatory influence on cognitive functions and brain disorders.

Entities:  

Keywords:  biophysical model neurons; cognitive functions; dynamic synapses; neocortical microcircuit dynamics; neuromodulation; neuronal adaptation; working memory

Year:  2004        PMID: 23345872      PMCID: PMC3456085          DOI: 10.1023/B:JOBP.0000046745.65807.5e

Source DB:  PubMed          Journal:  J Biol Phys        ISSN: 0092-0606            Impact factor:   1.365


  90 in total

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Authors:  B Cartling
Journal:  Behav Brain Res       Date:  1999-04       Impact factor: 3.332

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Journal:  J Neurophysiol       Date:  1985-10       Impact factor: 2.714

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Review 6.  Visual feature integration and the temporal correlation hypothesis.

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Journal:  J Physiol       Date:  1970-03       Impact factor: 5.182

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Authors:  A L Blatz; K L Magleby
Journal:  Nature       Date:  1986 Oct 23-29       Impact factor: 49.962

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  1 in total

1.  Peptide neuromodulation of synaptic dynamics in an oscillatory network.

Authors:  Shunbing Zhao; Amir Farzad Sheibanie; Myongkeun Oh; Pascale Rabbah; Farzan Nadim
Journal:  J Neurosci       Date:  2011-09-28       Impact factor: 6.167

  1 in total

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