A Tractable Approximation to Optimal Point Process Filtering: Application to Neural Encoding

NeurIPS 2015 Yuval HarelRon MeirManfred Opper

The process of dynamic state estimation (filtering) based on point process observations is in general intractable. Numerical sampling techniques are often practically useful, but lead to limited conceptual insight about optimal encoding/decoding strategies, which are of significant relevance to Computational Neuroscience... (read more)

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