Combining frequency and time domain approaches to systems with multiple spike train input and output

Biological Cybernetics

Volumn 100, Issue 6, 2009, Pages 459-474

  Brillinger, D R ^a   Lindsay, K A ^b   Rosenberg, J R ^b  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b UNIVERSITY OF GLASGOW   (United Kingdom)

Author keywords

Canonical coherence; Maximum likelihood; Multiple spike trains; Multivariate point processes; Muscle spindle; Neural coding

Indexed keywords

CANONICAL COHERENCE; MULTIPLE SPIKE TRAINS; MULTIVARIATE POINT PROCESSES; MUSCLE SPINDLE; NEURAL CODING;

FREQUENCY DOMAIN ANALYSIS; LOCOMOTIVES; MAXIMUM LIKELIHOOD ESTIMATION; MUSCLE; RAILROAD CARS;

TIME DOMAIN ANALYSIS;

ACTION POTENTIAL; ANIMAL; ARTICLE; BIOLOGICAL MODEL; HISTOLOGY; HUMAN; MATHEMATICS; MUSCLE SPINDLE; NERVE CELL NETWORK; PHYSIOLOGY; SENSORY NERVE CELL; STATISTICAL MODEL; TIME;

ACTION POTENTIALS; ANIMALS; HUMANS; MATHEMATICS; MODELS, NEUROLOGICAL; MODELS, STATISTICAL; MUSCLE SPINDLES; NERVE NET; NEURONS, AFFERENT; TIME FACTORS;

EID: 67650465754     PISSN: 03401200     EISSN: 14320770     Source Type: Journal    
DOI: 10.1007/s00422-008-0289-y     Document Type: Article

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