Neuronal assemblies
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Neuronal assemblies : necessity, signature and detectability. / Singer, W; Engel, A K; Kreiter, A K; Munk, M H; Neuenschwander, S; Roelfsema, P R.
in: TRENDS COGN SCI, Jahrgang 1, Nr. 7, 01.10.1997, S. 252-61.Publikationen: SCORING: Beitrag in Fachzeitschrift/Zeitung › SCORING: Zeitschriftenaufsatz › Forschung › Begutachtung
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TY - JOUR
T1 - Neuronal assemblies
T2 - necessity, signature and detectability
AU - Singer, W
AU - Engel, A K
AU - Kreiter, A K
AU - Munk, M H
AU - Neuenschwander, S
AU - Roelfsema, P R
PY - 1997/10/1
Y1 - 1997/10/1
N2 - The ease with which highly developed brains can generate representations of a virtually unlimited diversity of perceptual objects indicates that they have developed very efficient mechanisms to analyse and represent relations among incoming signals. Here, we propose that two complementary strategies are applied to cope with these combinatorial problems. First, elementary relations are represented by the tuned responses of individual neurons that acquire their specific response properties (feature selectivity) through appropriate convergence of input connections in hierarchically structured feed-forward architectures. Second, complex relations that cannot be represented economically by the responses of individual neurons are represented by assemblies of cells that are generated by dynamic association of individual, featureselective cells. The signature identifying the responses of an assembly as components of a coherent code is thought to be the synchronicity of the respective discharges. The compatibility of this hypothesis is examined in the context of recent data on the dynamics of synchronization phenomena, the dependence of synchronization on central states and the relations between the synchronization behaviour of neurons and perception.
AB - The ease with which highly developed brains can generate representations of a virtually unlimited diversity of perceptual objects indicates that they have developed very efficient mechanisms to analyse and represent relations among incoming signals. Here, we propose that two complementary strategies are applied to cope with these combinatorial problems. First, elementary relations are represented by the tuned responses of individual neurons that acquire their specific response properties (feature selectivity) through appropriate convergence of input connections in hierarchically structured feed-forward architectures. Second, complex relations that cannot be represented economically by the responses of individual neurons are represented by assemblies of cells that are generated by dynamic association of individual, featureselective cells. The signature identifying the responses of an assembly as components of a coherent code is thought to be the synchronicity of the respective discharges. The compatibility of this hypothesis is examined in the context of recent data on the dynamics of synchronization phenomena, the dependence of synchronization on central states and the relations between the synchronization behaviour of neurons and perception.
U2 - 10.1016/S1364-6613(97)01079-6
DO - 10.1016/S1364-6613(97)01079-6
M3 - SCORING: Journal article
C2 - 21223920
VL - 1
SP - 252
EP - 261
JO - TRENDS COGN SCI
JF - TRENDS COGN SCI
SN - 1364-6613
IS - 7
ER -