Stimulus-dependent augmented gamma oscillatory activity between the functionally connected cortical neurons in the primary visual cortex

被引:15
作者
Bharmauria, Vishal [1 ]
Bachatene, Lyes [1 ]
Cattan, Sarah [1 ]
Chanauria, Nayan [1 ]
Rouat, Jean [1 ,2 ]
Molotchnikoff, Stephane [1 ,2 ]
机构
[1] Univ Montreal, Neurophysiol Visual Syst, Dept Biol Sci, Montreal, PQ H3C 3J7, Canada
[2] Univ Sherbrooke, Dept Genie Elect & Genie Informat, Sherbrooke, PQ J1K 2R1, Canada
关键词
coherence; functional connection; gamma oscillations; primary visual cortex; window of opportunity; BAND SYNCHRONIZATION; ORIENTATION SELECTIVITY; SYNAPTIC INHIBITION; DYNAMICS; CELLS; CIRCUITS; INTERNEURONS; MODULATION; SPARSENESS; PLASTICITY;
D O I
10.1111/ejn.12912
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
Neuronal assemblies typically synchronise within the gamma oscillatory band (30-80Hz) and are fundamental to information processing. Despite numerous investigations, the exact mechanisms and origins of gamma oscillations are yet to be known. Here, through multiunit recordings in the primary visual cortex of cats, we show that the strength of gamma power (20-40 and 60-80Hz) is significantly stronger between the functionally connected units than between the unconnected units within an assembly. Furthermore, there is increased frequency coherence in the gamma band between the connected units than between the unconnected units. Finally, the higher gamma rhythms (60-80Hz) are mostly linked to the fast-spiking neurons. These results led us to postulate that gamma oscillations are intrinsically generated between the connected units within cell assemblies (microcircuits) in relation to the stimulus within an emergent 50-ms temporal window of opportunity'.
引用
收藏
页码:1587 / 1596
页数:10
相关论文
共 57 条
[31]   Temporal codes and sparse representations: A key to understanding rapid processing in the visual system [J].
Guyonneau, R ;
VanRullen, R ;
Thorpe, SJ .
JOURNAL OF PHYSIOLOGY-PARIS, 2004, 98 (4-6) :487-497
[32]   Temporal interaction between single spikes and complex spike bursts in hippocampal pyramidal cells [J].
Harris, KD ;
Hirase, H ;
Leinekugel, X ;
Henze, DA ;
Buzsáki, G .
NEURON, 2001, 32 (01) :141-149
[33]   Cortical connectivity and sensory coding [J].
Harris, Kenneth D. ;
Mrsic-Flogel, Thomas D. .
NATURE, 2013, 503 (7474) :51-58
[34]   SPARSENESS OF CODING IN AREA 17 OF THE CAT VISUAL CORTEX: A COMPARISON BETWEEN PINWHEEL CENTRES AND ORIENTATION DOMAINS [J].
Jayakumar, J. ;
Hu, D. ;
Vidyasagar, T. R. .
NEUROSCIENCE, 2012, 225 :55-64
[35]   Recovery of cortical binocularity and orientation selectivity after the critical period for ocular dominance plasticity [J].
Liao, DS ;
Krahe, TE ;
Prusky, GT ;
Medina, AE ;
Ramoa, AS .
JOURNAL OF NEUROPHYSIOLOGY, 2004, 92 (04) :2113-2121
[36]   Visual stimuli recruit intrinsically generated cortical ensembles [J].
Miller, Jae-eun Kang ;
Ayzenshtat, Inbal ;
Carrillo-Reid, Luis ;
Yuste, Rafael .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2014, 111 (38) :E4053-E4061
[37]   MODEL FOR VISUAL SHAPE RECOGNITION [J].
MILNER, PM .
PSYCHOLOGICAL REVIEW, 1974, 81 (06) :521-535
[38]   Brain at work: time, sparseness and superposition principles [J].
Molotchnikoff, Stephane ;
Rouat, Jean .
FRONTIERS IN BIOSCIENCE-LANDMARK, 2012, 17 :583-606
[39]   Highly selective receptive fields in mouse visual cortex [J].
Niell, Cristopher M. ;
Stryker, Michael P. .
JOURNAL OF NEUROSCIENCE, 2008, 28 (30) :7520-7536
[40]   Nonlinear multivariate analysis of neurophysiological signals [J].
Pereda, E ;
Quiroga, RQ ;
Bhattacharya, J .
PROGRESS IN NEUROBIOLOGY, 2005, 77 (1-2) :1-37