Computing the Local Field Potential (LFP) from Integrate-and-Fire Network Models

PLoS Computational Biology

Volumn 11, Issue 12, 2015, Pages

  Mazzoni, Alberto ^a,b   Lindén, Henrik ^c,d   Cuntz, Hermann ^e,f,g   Lansner, Anders ^d   Panzeri, Stefano ^b   Einevoll, Gaute T ^h,i  

^a SCUOLA SUPERIORE SANT ANNA   (Italy)

^b ISTITUTO ITALIANO DI TECNOLOGIA   (Italy)

^c UNIVERSITY OF COPENHAGEN   (Denmark)

^d ROYAL INSTITUTE OF TECHNOLOGY   (Sweden)

^e ERNST STRÜNGMANN INSTITUTE ESI FOR NEUROSCIENCE IN COOPERATION WITH MAX PLANCK SOCIETY   (Germany)

^f GOETHE UNIVERSITY   (Germany)

^g FRANKFURT INSTITUTE FOR ADVANCED STUDIES   (Germany)

^h NORWEGIAN UNIVERSITY OF LIFE SCIENCES   (Norway)

ⁱ UNIVERSITY OF OSLO   (Norway)

Author keywords

[No Author keywords available]

Indexed keywords

ELECTROPHYSIOLOGY; NEURONS;

'CURRENT; DYNAMIC NETWORK; IN-VIVO; INTEGRATE AND FIRES; LOCAL FIELD POTENTIALS; NETWORK MODELS; NETWORK STATE; NEURAL-NETWORKS; TASK NETWORKS; TIME COURSE;

NEURAL NETWORKS;

ARTICLE; CELL STRUCTURE; CELLULAR DISTRIBUTION; CONTROLLED STUDY; DENDRITE; FIRING RATE; INTERMETHOD COMPARISON; LOCAL FIELD POTENTIAL; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; MEMBRANE POTENTIAL; NERVE CELL NETWORK; NERVE CONDUCTION; NERVOUS SYSTEM PARAMETERS; SYNAPTIC TRANSMISSION; ACTION POTENTIAL; BIOLOGICAL MODEL; BRAIN; BRAIN MAPPING; COMPUTER SIMULATION; ELECTROMAGNETISM; HUMAN; NERVE CELL; PHYSIOLOGY; PROCEDURES;

ACTION POTENTIALS; BRAIN; BRAIN MAPPING; COMPUTER SIMULATION; ELECTROMAGNETIC FIELDS; HUMANS; MEMBRANE POTENTIALS; MODELS, NEUROLOGICAL; NERVE NET; NEURONS; SYNAPTIC TRANSMISSION;

EID: 84953301873     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.1004584     Document Type: Article

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