Modeling the impact of common noise inputs on the network activity of retinal ganglion cells

Journal of Computational Neuroscience

Volumn 33, Issue 1, 2012, Pages 97-121

  Vidne, Michael ^a   Ahmadian, Yashar ^b   Shlens, Jonathon ^c   Pillow, Jonathan W ^d   Kulkarni, Jayant ^e   Litke, Alan M ^f   Chichilnisky, E J ^c   Simoncelli, Eero ^g   Paninski, Liam ^b  

^a Department of Earth and Environmental Sciences   (United States)

^b Och Spine at New York Presbyterian Hospitals   (United States)

^c SALK INSTITUTE FOR BIOLOGICAL STUDIES   (United States)

^d UNIVERSITY OF TEXAS AT AUSTIN   (United States)

^e Simons Center for Quantitative Biology   (United States)

^f UNIVERSITY OF CALIFORNIA SANTA CRUZ   (United States)

^g NEW YORK UNIVERSITY   (United States)

Author keywords

Generalized linear model; Multielectrode; Random effects model; Recording; Retina; State space model

Indexed keywords

CELL PROLIFERATION; DECODING; OPHTHALMOLOGY; RANDOM PROCESSES; STATE SPACE METHODS; SYNCHRONIZATION;

COMMON NOISE; DIRECT COUPLING; GENERALIZED LINEAR MODEL; MULTI-ELECTRODE; RANDOM EFFECTS MODEL; RECORDING; RETINA; RETINAL GANGLION CELLS; SPIKE TRAIN; STATE-SPACE MODELS;

CELL CULTURE;

ANIMAL CELL; ANIMAL EXPERIMENT; ARTICLE; CELL SYNCHRONIZATION; CONTROLLED STUDY; EXPERIMENTAL DESIGN; MACACA MULATTA; NERVE CELL NETWORK; NONHUMAN; PIGMENT EPITHELIUM; PRIORITY JOURNAL; RETINA GANGLION CELL; RETINA RECEPTIVE FIELD; SIGNAL PROCESSING; SPIKE WAVE; STATISTICAL MODEL; STIMULUS RESPONSE; VISUAL STIMULATION;

EID: 84863868057     PISSN: 09295313     EISSN: 15736873     Source Type: Journal    
DOI: 10.1007/s10827-011-0376-2     Document Type: Article

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