Literature DB >> 9345550

Another neural code?

K J Friston1.   

Abstract

This paper presents the conjecture that functional integration may be mediated by the mutual induction and maintenance of stereotyped spatiotemporal patterns of activity (i.e., transients) in different neuronal populations. In contradistinction to temporal and rate coding models of neuronal interactions, transient coding considers that transactions among neuronal systems use transient dynamics that are distributed in a structured way over both space and time. In contrast to synchronization models, transient coding does not depend on interactions at the same frequencies, in different parts of the brain, but involves covariations among different frequencies and can therefore be considered a more general form of coding. Using an analysis of the correlations among the spectral density of neuromagnetic signals, measured at different cortical regions, this hypothesis was confirmed. For example high (gamma)-frequency oscillations in the prefrontal cortex are associated with low (20 Hz)-frequency oscillations in the parietal cortex. The results are consistent with transient coding and suggest that transient dynamics endure for at least 40-200 ms. Transient coding means that correlations (rate coding) and coherence (synchrony) are neither complete nor sufficient characterizations of neuronal interactions. Although temporal coding, rate coding, and synchrony are important aspects of neuronal interactions, the results speak to further integrative neuronal mechanisms of a more general nature.

Mesh:

Year:  1997        PMID: 9345550     DOI: 10.1006/nimg.1997.0260

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  29 in total

Review 1.  The labile brain. I. Neuronal transients and nonlinear coupling.

Authors:  K J Friston
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2000-02-29       Impact factor: 6.237

2.  Nonlinear synchronization in EEG and whole-head MEG recordings of healthy subjects.

Authors:  Cornelis J Stam; Michael Breakspear; Anne-Marie van Cappellen van Walsum; Bob W van Dijk
Journal:  Hum Brain Mapp       Date:  2003-06       Impact factor: 5.038

3.  A novel method for the topographic analysis of neural activity reveals formation and dissolution of 'Dynamic Cell Assemblies'.

Authors:  Michael Breakspear; Leanne M Williams; Cornelis J Stam
Journal:  J Comput Neurosci       Date:  2004 Jan-Feb       Impact factor: 1.621

Review 4.  "Dynamic" connectivity in neural systems: theoretical and empirical considerations.

Authors:  Michael Breakspear
Journal:  Neuroinformatics       Date:  2004

5.  Nonlinear analysis of EEG during NREM sleep reveals changes in functional connectivity due to natural aging.

Authors:  John R Terry; Clare Anderson; James A Horne
Journal:  Hum Brain Mapp       Date:  2004-10       Impact factor: 5.038

6.  Dynamics of event-related causality in brain electrical activity.

Authors:  Anna Korzeniewska; Ciprian M Crainiceanu; Rafał Kuś; Piotr J Franaszczuk; Nathan E Crone
Journal:  Hum Brain Mapp       Date:  2008-10       Impact factor: 5.038

Review 7.  Neuronal functional diversity and collective behaviors: a scientific case.

Authors:  Walter G Sannita
Journal:  Cogn Process       Date:  2009-01-10

8.  Neuronal functional diversity and collective behaviors.

Authors:  Walter G Sannita
Journal:  J Biol Phys       Date:  2008-09-07       Impact factor: 1.365

9.  Testing for nested oscillation.

Authors:  W D Penny; E Duzel; K J Miller; J G Ojemann
Journal:  J Neurosci Methods       Date:  2008-07-15       Impact factor: 2.390

10.  Quantifying auditory event-related responses in multichannel human intracranial recordings.

Authors:  Dana Boatman-Reich; Piotr J Franaszczuk; Anna Korzeniewska; Brian Caffo; Eva K Ritzl; Sarah Colwell; Nathan E Crone
Journal:  Front Comput Neurosci       Date:  2010-03-19       Impact factor: 2.380

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.