Literature DB >> 10607645

Bridging the gap - from ion channels to networks and behaviour.

S Grillner1.   

Abstract

A major challenge for current research in neuroscience is to understand the intrinsic operation of the functional modules of the central nervous system, such as those formed by cortical columns and the neuronal networks controlling motor behaviour. Most vertebrate experimental models used in network analyses involve developing nervous systems, which are in rapid transition with regard to their cellular properties and the expression of different ion channels. Recent advances in our understanding of the cellular and circuit properties of motor networks are making it possible to decipher the mechanisms involved in vertebrate motor pattern generation.

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Year:  1999        PMID: 10607645     DOI: 10.1016/s0959-4388(99)00036-7

Source DB:  PubMed          Journal:  Curr Opin Neurobiol        ISSN: 0959-4388            Impact factor:   6.627


  8 in total

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2.  Organization of neural networks in the neocortex.

Authors:  E E Dolbakyan; G Kh Merzhanova
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Review 3.  Neuronal network analyses: premises, promises and uncertainties.

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Authors:  Lyle E Fox; David R Soll; Chun-Fang Wu
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5.  GABA(A)- and AMPA-like receptors modulate the activity of an identified neuron within the central pattern generator of the pond snail Lymnaea stagnalis.

Authors:  Francesco Moccia; Carlo Di Cristo; William Winlow; Anna Di Cosmo
Journal:  Invert Neurosci       Date:  2009-02-13

6.  Virtual Partner Interaction (VPI): exploring novel behaviors via coordination dynamics.

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Journal:  PLoS One       Date:  2009-06-03       Impact factor: 3.240

7.  Neural circuits for peristaltic wave propagation in crawling Drosophila larvae: analysis and modeling.

Authors:  Julijana Gjorgjieva; Jimena Berni; Jan Felix Evers; Stephen J Eglen
Journal:  Front Comput Neurosci       Date:  2013-04-04       Impact factor: 2.380

8.  Modelling Feedback Excitation, Pacemaker Properties and Sensory Switching of Electrically Coupled Brainstem Neurons Controlling Rhythmic Activity.

Authors:  Michael J Hull; Stephen R Soffe; David J Willshaw; Alan Roberts
Journal:  PLoS Comput Biol       Date:  2016-01-29       Impact factor: 4.475

  8 in total

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