Solution to the inverse problem of estimating gap-junctional and inhibitory conductance in inferior olive neurons from spike trains by network model simulation

Neural Networks

Volumn 47, Issue , 2013, Pages 51-63

  Onizuka, Miho ^a,b   Hoang, Huu ^b,c   Kawato, Mitsuo ^a,b   Tokuda, Isao T ^c   Schweighofer, Nicolas ^d   Katori, Yuichi ^e,f   Aihara, Kazuyuki ^f   Lang, Eric J ^g   Toyama, Keisuke ^b  

^a NARA INSTITUTE OF SCIENCE AND TECHNOLOGY   (Japan)

^b ADVANCED TELECOMMUNICATIONS RESEARCH INSTITUTE INTERNATIONAL   (Japan)

^c RITSUMEIKAN UNIVERSITY   (Japan)

^d UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

^e JAPAN SCIENCE AND TECHNOLOGY AGENCY   (Japan)

^f INSTITUTE OF INDUSTRIAL SCIENCE   (Japan)

^g NEW YORK UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

ANOVA; Cerebellum; Gap junction; Inferior olive; PCA

Indexed keywords

CEREBELLUM; GAP JUNCTIONS; INFERIOR OLIVE; INHIBITORY SYNAPSIS; MULTI-ELECTRODE RECORDINGS; PCA; SPATIOTEMPORAL CHARACTERISTICS; TWO-DIMENSIONAL PRINCIPAL COMPONENT ANALYSIS;

ANALYSIS OF VARIANCE (ANOVA); BRAIN; INVERSE PROBLEMS; NEURONS; PRINCIPAL COMPONENT ANALYSIS; VECTOR SPACES;

NEURAL NETWORKS;

CARBENOXOLONE; PICROTOXIN;

ALGORITHM; ANALYSIS OF VARIANCE; ARTICLE; BRAIN NERVE CELL; COMPUTER SIMULATION; DENDRITIC SPINE; ELECTRICAL SYNAPSE; GABAERGIC SYSTEM; INFERIOR OLIVE NEURON; NERVE ENDING; NERVOUS SYSTEM CONDUCTANCE; NONHUMAN; PRINCIPAL COMPONENT ANALYSIS; PRIORITY JOURNAL; SPIKE;

ANOVA; CEREBELLUM; GAP JUNCTION; INFERIOR OLIVE; PCA;

ACTION POTENTIALS; GAP JUNCTIONS; HUMANS; MEMBRANE POTENTIALS; MODELS, NEUROLOGICAL; NERVE NET; NEURAL INHIBITION; NEURONS; OLIVARY NUCLEUS;

EID: 84884145103     PISSN: 08936080     EISSN: 18792782     Source Type: Journal    
DOI: 10.1016/j.neunet.2013.01.006     Document Type: Article

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