Literature DB >> 24434912

Oscillatory multiplexing of population codes for selective communication in the mammalian brain.

Thomas Akam1, Dimitri M Kullmann2.   

Abstract

Mammalian brains exhibit population oscillations, the structures of which vary in time and space according to behavioural state. A proposed function of these oscillations is to control the flow of signals among anatomically connected networks. However, the nature of neural coding that may support selective communication that depends on oscillations has received relatively little attention. Here, we consider the role of multiplexing, whereby multiple information streams share a common neural substrate. We suggest that multiplexing implemented through periodic modulation of firing-rate population codes enables flexible reconfiguration of effective connectivity among brain areas.

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Year:  2014        PMID: 24434912      PMCID: PMC4724886          DOI: 10.1038/nrn3668

Source DB:  PubMed          Journal:  Nat Rev Neurosci        ISSN: 1471-003X            Impact factor:   34.870


  84 in total

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Review 2.  Multiple origins of the cortical γ rhythm.

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Review 3.  A mechanism for cognitive dynamics: neuronal communication through neuronal coherence.

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Journal:  Trends Cogn Sci       Date:  2005-10       Impact factor: 20.229

4.  The dependence of spike field coherence on expected intensity.

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5.  Improved measures of phase-coupling between spikes and the Local Field Potential.

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Journal:  J Comput Neurosci       Date:  2011-12-21       Impact factor: 1.621

6.  Basal ganglia beta oscillations accompany cue utilization.

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7.  Synchronous, focally modulated beta-band oscillations characterize local field potential activity in the striatum of awake behaving monkeys.

Authors:  Richard Courtemanche; Naotaka Fujii; Ann M Graybiel
Journal:  J Neurosci       Date:  2003-12-17       Impact factor: 6.167

Review 8.  The θ-γ neural code.

Authors:  John E Lisman; Ole Jensen
Journal:  Neuron       Date:  2013-03-20       Impact factor: 17.173

9.  Internally generated cell assembly sequences in the rat hippocampus.

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10.  Efficient "communication through coherence" requires oscillations structured to minimize interference between signals.

Authors:  Thomas E Akam; Dimitri M Kullmann
Journal:  PLoS Comput Biol       Date:  2012-11-08       Impact factor: 4.475

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  128 in total

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Journal:  J Comput Neurosci       Date:  2015-11-26       Impact factor: 1.621

2.  The cognitive-emotional brain: Opportunities [corrected] and challenges for understanding neuropsychiatric disorders.

Authors:  Alexander J Shackman; Andrew S Fox; David A Seminowicz
Journal:  Behav Brain Sci       Date:  2015       Impact factor: 12.579

3.  Assessing functional connectivity across 3D tissue engineered axonal tracts using calcium fluorescence imaging.

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4.  Uncovering phase-coupled oscillatory networks in electrophysiological data.

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5.  Rhythmic auditory cortex activity at multiple timescales shapes stimulus-response gain and background firing.

Authors:  Christoph Kayser; Caroline Wilson; Houman Safaai; Shuzo Sakata; Stefano Panzeri
Journal:  J Neurosci       Date:  2015-05-20       Impact factor: 6.167

6.  Peripheral chemoreceptors tune inspiratory drive via tonic expiratory neuron hubs in the medullary ventral respiratory column network.

Authors:  L S Segers; S C Nuding; M M Ott; J B Dean; D C Bolser; R O'Connor; K F Morris; B G Lindsey
Journal:  J Neurophysiol       Date:  2014-10-15       Impact factor: 2.714

7.  Methodological Considerations on the Use of Different Spectral Decomposition Algorithms to Study Hippocampal Rhythms.

Authors:  Y Zhou; A Sheremet; Y Qin; J P Kennedy; N M DiCola; S N Burke; A P Maurer
Journal:  eNeuro       Date:  2019-08-01

8.  Visual cortex neurons phase-lock selectively to subsets of LFP oscillations.

Authors:  N V Swindale; M A Spacek
Journal:  J Neurophysiol       Date:  2019-04-17       Impact factor: 2.714

9.  Theta-gamma cascades and running speed.

Authors:  A Sheremet; J P Kennedy; Y Qin; Y Zhou; S D Lovett; S N Burke; A P Maurer
Journal:  J Neurophysiol       Date:  2018-12-05       Impact factor: 2.714

10.  Individual Alpha Frequency Determines the Impact of Bottom-Up Drive on Visual Processing.

Authors:  Stephanie Nelli; Aayushi Malpani; Max Boonjindasup; John T Serences
Journal:  Cereb Cortex Commun       Date:  2021-04-26
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