Computing the inverse of the neurophysiological spike-response transform
| Autor: | Charles S. Peskin, Keyla García-Crescioni, Mark W. Miller, Vladimir Brezina, Estee Stern |
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| Rok vydání: | 2009 |
| Předmět: |
Computer science
business.industry General Neuroscience Spike train lcsh:QP351-495 System identification food and beverages Inverse Neurophysiology lcsh:RC321-571 Postsynaptic membrane Cellular and Molecular Neuroscience lcsh:Neurophysiology and neuropsychology Kernel (image processing) General Materials Science Spike (software development) Artificial intelligence business lcsh:Neurosciences. Biological psychiatry. Neuropsychiatry Algorithm Decoding methods |
| Zdroj: | BMC Neuroscience, Vol 10, Iss Suppl 1, p P92 (2009) |
| ISSN: | 1471-2202 |
| DOI: | 10.1186/1471-2202-10-s1-p92 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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