A single spiking neuron that can represent interval timing: Analysis, plasticity and multi-stability

Journal of Computational Neuroscience

Volumn 30, Issue 2, 2011, Pages 489-499

  Shouval, Harel Z ^a   Gavornik, Jeffrey P ^a,b,c  

^a UNIVERSITY OF TEXAS MEDICAL SCHOOL   (United States)

^b The University of Texas at Austin   (United States)

^c MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

Interval timing; Intrinsic conductances; Mathematical model; Neuronal dynamics; Reinforcement learning

Indexed keywords

NEURONS; TIMING CIRCUITS;

INTERVAL TIMING; INTRINSIC CONDUCTANCE; LEARN+; NETWORK OF NEURONS; NEURONAL DYNAMICS; PERSISTENT ACTIVITIES; REINFORCEMENT LEARNINGS; SINGLE NEURON; SPIKING NEURONES; TIMING ANALYSIS;

REINFORCEMENT LEARNING;

CALCIUM;

ARTICLE; CALCIUM CURRENT; CALCIUM SIGNALING; CELL ACTIVITY; CONCENTRATION (PARAMETERS); DISCRIMINATION LEARNING; ENTORHINAL CORTEX; ION CURRENT; MATHEMATICAL MODEL; MOLECULAR DYNAMICS; MOLECULAR STABILITY; NERVE CELL EXCITABILITY; NERVE CELL NETWORK; NERVE CELL PLASTICITY; NERVE CELL STIMULATION; NEUROMODULATION; NONHUMAN; PREDICTION; PRIORITY JOURNAL; REINFORCEMENT; REWARD; SPIKE WAVE; STEADY STATE; STIMULUS RESPONSE; TIME PERCEPTION; VISUAL CORTEX; WORKING MEMORY;

EID: 79953314472     PISSN: 09295313     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10827-010-0273-0     Document Type: Article

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