A method for determining neural connectivity and inferring the underlying network dynamics using extracellular spike recordings

Journal of Neuroscience Methods

Volumn 144, Issue 2, 2005, Pages 265-279

  Makarov, Valeri A ^a   Panetsos, Fivos ^a   De Feo, Oscar ^b  

^a UNIVERSIDAD COMPLUTENSE DE MADRID   (Spain)

^b EPFL   (Switzerland)

Author keywords

Connectivity identification; Network modeling; Neural circuits; Spike trains

Indexed keywords

ARTICLE; ARTIFICIAL NEURAL NETWORK; CELL FUNCTION; EXTRACELLULAR MATRIX; MATHEMATICAL MODEL; MOLECULAR DYNAMICS; OBSERVATION; PHYSICAL CHEMISTRY; PRIORITY JOURNAL; RECORDING; SPIKE;

ACTION POTENTIALS; ALGORITHMS; ANIMALS; CENTRAL NERVOUS SYSTEM; ELECTROPHYSIOLOGY; EXCITATORY POSTSYNAPTIC POTENTIALS; HUMANS; NEURAL INHIBITION; NEURAL NETWORKS (COMPUTER); NEURAL PATHWAYS; NEURONS; NEUROPHYSIOLOGY; SYNAPTIC TRANSMISSION;

EID: 19444364520     PISSN: 01650270     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jneumeth.2004.11.013     Document Type: Article

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