Towards Novel Neuroscience-Inspired Computing
Emergent Neural Computational Architectures Based on Neuroscience - Towards Neuroscience-Inspired Computing
Hybrid preference machines based on inspiration from neuroscience
Cognitive Systems Research
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In comparison with the speed and precision associated with processing in the auditory periphery, the temporal response properties of neurones in primary auditory cortex can appear to be surprisingly sluggish. For example, much of the temporal fine structure is lost, best modulation frequencies are generally low and the effects of forward masking can be detected for a surprisingly long time. The purpose of this investigation was to explore whether depression at thalamocortical synapses could account for these observations. We show that a model that incorporated synaptic dynamics could indeed replicate these and other experimental results and in addition provided a novel explanation for some effects of subthreshold stimuli.