Tristate Markov model for the firing statistics of rapidly-adapting mechanoreceptive fibers

Journal of Computational Neuroscience

Volumn 17, Issue 2, 2004, Pages 107-126

  Güçlü, Burak ^a,b,c   Bolanowski, Stanley J ^a,b  

^a Syracuse Institute for Sensory Research   (United States)

^b SYRACUSE UNIVERSITY   (United States)

^c UNIVERSITY OF ROCHESTER SCHOOL OF MEDICINE AND DENTISTRY   (United States)

Author keywords

Markov process; Mechanoreceptor; Meissner corpuscle; Rapidly adapting fiber; Sinusoidal response

Indexed keywords

GRAPHIC METHODS; MARKOV PROCESSES; STOCHASTIC MODELS; STOCHASTIC SYSTEMS;

EMPIRICAL DATA; FIRING RATES; MARKOV MODELING; MECHANORECEPTORS; MEISSNER CORPUSCLE; NEURAL INFORMATION; RAPIDLY-ADAPTING FIBER; SENSE OF TOUCH; SINUSOIDAL RESPONSE; TRISTATE;

FIBERS;

ANIMAL EXPERIMENT; ANIMAL MODEL; ARTICLE; BRAIN NERVE CELL; CELL ACTIVITY; COMPUTER ANALYSIS; CONTROLLED STUDY; HISTOGRAM; INFORMATION PROCESSING; MECHANORECEPTOR; NONHUMAN; PRIORITY JOURNAL; PROBABILITY; SIMULATION; SOMATOSENSORY STIMULATION; SOMATOSENSORY SYSTEM; SPIKE WAVE; STATISTICAL ANALYSIS; STOCHASTIC MODEL; TOUCH;

EID: 4444316186     PISSN: 09295313     EISSN: None     Source Type: Journal    
DOI: 10.1023/B:JCNS.0000037680.56375.85     Document Type: Article

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