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Efficient Spike-Coding with Multiplicative Adaptation in a Spike Response Model

Efficient Spike-Coding with Multiplicative Adaptation in a Spike Response Model

This video was recorded at Video Journal of Machine Learning Abstracts - Volume 3. Neural adaptation underlies the ability of neurons to maximize encoded information over a wide dynamic range of input stimuli. While adaptation is an intrinsic feature of neuronal models like the Hodgkin-Huxley model, the challenge is to integrate adaptation in models of neural computation. Recent computational models like the Adaptive Spike Response Model implement adaptation as spike-based addition of fixed-size fast spike-triggered threshold dynamics and slow spike-triggered currents. Such adaptation has been shown to accurately model neural spiking behavior over a limited dynamic range. Taking a cue from kinetic models of adaptation, we propose a multiplicative Adaptive Spike Response Model where the... Show More
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