High-conductance states in a mean-field cortical network model

Neurocomputing

Volumn 58-60, Issue , 2004, Pages 935-940

  Lerchner, Alexander ^a   Ahmadi, Mandana ^b   Hertz, John ^b  

^a TECHNICAL UNIVERSITY OF DENMARK   (Denmark)

^b NORDITA   (Denmark)

Author keywords

Cortical dynamics; Response variability; Synaptic conductances

Indexed keywords

CORRELATION METHODS; ELECTRIC CONDUCTANCE; MATHEMATICAL MODELS; POISSON DISTRIBUTION; STATISTICAL METHODS;

CORTICAL NETWORK MODEL; FANO FACTORS; HIGH-CONDUCTANCE STATES; SPIKES;

NEUROLOGY;

ARTICLE; CELL ACTIVITY; CONTROLLED STUDY; CORRELATION FUNCTION; EXPERIMENTATION; MATHEMATICAL MODEL; MICROENVIRONMENT; NERVE CELL INHIBITION; NERVE CELL MEMBRANE POTENTIAL; NERVE CELL NETWORK; NERVE CELL STIMULATION; NERVOUS SYSTEM CONDUCTANCE; NOISE; NORMAL DISTRIBUTION; POISSON DISTRIBUTION; PRIORITY JOURNAL; SPIKE WAVE; STATISTICAL ANALYSIS; SYNAPSE; THEORY; VISUAL CORTEX; WHITE NOISE;

EID: 2542461423     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neucom.2004.01.149     Document Type: Article

References (10)

1. Amit D.J. Brunel N. Model of global spontaneous activity and local structured delay activity during delay periods in the cerebral cortex Cereb. Cortex 7 1997 237-252
2. Borg-Graham L.J. Monier C. Fregnac Y. Visual input evokes transient and strong shunting inhibition in visual cortical neurons Nature 393 1998 369-374
3. Brunel N. Dynamics of sparsely connected networks of excitatory and inhibitory spiking neurons J. Comput. Neurosci. 8 2000 183-208
4. Eisfeller H. Opper M. New method for studying the dynamics of disordered spin systems without finite-size effects Phys. Rev. Lett. 68 1992 2094-2097
5. Fulvi Mari C. Random networks of spiking neurons: instability in the Xenopus tadpole moto-neural pattern Phys. Rev. Lett. 85 2000 210-213
6. Gershon E.D. Wiener M.C. Latham P.E. Richmond B.J. Coding strategies in monkey V1 and inferior temporal cortices J. Neurophysiol. 79 1998 1135-1144
7. Hertz, J. Richmond, B.J. Nilsen, K. Anomalous response variability in a balanced cortical network model, Neurocomputing 52-54 (2003) 787-792.
8. Kree R. Zippelius A. Continuous-time dynamics of asymmetrically diluted neural networks Phys. Rev. A 36 1987 4421-4427
9. Shelley M. McLaughlin D. Shapley R. Wielaard J. Visual input evokes transient and strong shunting inhibition in visual cortical neurons J. Comput. Neurosci. 13 2002 93-109
10. van Vreeswijk C. Sompolinsky H. Chaotic balanced state in a model of cortical circuits Neural Comput. 10 1998 1321-1371