Long-term adaptation with power-law dynamics (Zilany et al. 2009)


... A model of rate adaptation at the synapse between inner hair cells and auditory-nerve (AN) fibers that includes both exponential and power-law dynamics is presented here. Exponentially adapting components with rapid and short-term time constants, which are mainly responsible for shaping onset responses, are followed by two parallel paths with power-law adaptation that provide slowly and rapidly adapting responses. ... The proposed model is capable of accurately predicting several sets of AN data, including amplitude-modulation transfer functions, long-term adaptation, forward masking, and adaptation to increments and decrements in the amplitude of an ongoing stimulus.

Model Type: Synapse

Cell Type(s): Cochlea hair outer GLU cell; Auditory nerve

Model Concept(s): Audition

Simulation Environment: MATLAB (web link to model); C or C++ program (web link to model)

References:

Zilany MS, Bruce IC, Nelson PC, Carney LH. (2009). A phenomenological model of the synapse between the inner hair cell and auditory nerve: long-term adaptation with power-law dynamics. The Journal of the Acoustical Society of America. 126 [PubMed]


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