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A memoryless, stochastic mechanism of timing of phases of behavior by a neural network controller Nature Precedings
Saaniya Contractor; Nataliya Kozlova; Vladimir Brezina.
For a sensorimotor network to generate adaptive behavior in the environment, the phases of the behavior must be appropriately timed. When the behavior is driven simply by the sensory stimuli from the environment, these can supply the timing. But when the behavior is driven by an internal "goal" that ignores and perhaps even opposes the immediate sensory stimuli, the timing must be generated internally by the network. We have modeled a realistic behavioral scenario that requires such internal timing.

When the sea slug Aplysia feeds, it incrementally ingests long strips of seaweed, driven by ingestive stimuli emanating from the seaweed. But if, having ingested a strip, the animal fails to break the...
Tipo: Poster Palavras-chave: Neuroscience.
Ano: 2009 URL: http://precedings.nature.com/documents/2817/version/1
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Computing the inverse of the neurophysiological spike-response transform Nature Precedings
Vladimir Brezina; Estee Stern; Keyla Garcia-Crescioni; Mark W. Miller; Charles S. Peskin.
Consider the transform from a discrete neuronal spike train to a continuous neurophysiological response such as postsynaptic membrane voltage or muscle contraction. Often, we can record only the response. Here we therefore ask about the inverse of this transform: given the response, how can we estimate from it the spike train that produced it? In previous work, we have developed a kernel-based "decoding" method for system identification of the forward transform. Using several variant approaches based on this method, here we demonstrate how to identify the spike train, in the minimal case from just the response, with synthetic as well as real synaptic and neuromuscular data.
Tipo: Poster Palavras-chave: Neuroscience.
Ano: 2009 URL: http://precedings.nature.com/documents/3472/version/1
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