Low-dimensional models of neural population activity in sensory cortical circuits

Advances in Neural Information Processing Systems

Volumn 1, Issue January, 2014, Pages 343-351

  Archer, Evan ^a,b   Köster, Urs ^c   Pillow, Jonathan ^d   Macke, Jakob H ^a,b  

^a MAX PLANCK INSTITUTE FOR BIOLOGICAL CYBERNETICS   (Germany)

^b Bernstein Center for Computational Neuroscience   (Germany)

^c UNIVERSITY OF CALIFORNIA   (United States)

^d PRINCETON UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DYNAMICS; INFORMATION SCIENCE; MAXIMUM PRINCIPLE;

COMPUTATIONAL NEUROSCIENCE; LAPLACE APPROXIMATION; LOW-DIMENSIONAL MODELS; MULTI-CHANNEL RECORDING; NEURAL CORRELATIONS; ONLINE EXPECTATION MAXIMIZATIONS; PRIMARY VISUAL CORTEX; STATISTICAL MODELING;

POPULATION STATISTICS;

EID: 84937839717     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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