Spikernels: Embedding Spiking Neurons in Inner-Product Spaces

@inproceedings{Shpigelman2002SpikernelsES,
  title={Spikernels: Embedding Spiking Neurons in Inner-Product Spaces},
  author={Lavi Shpigelman and Yoram Singer and Rony Paz and Eilon Vaadia},
  booktitle={NIPS},
  year={2002}
}
Inner-product operators, often referred to as kernels in statistical learning, define a mapping from some input space into a feature space. The focus of t his paper is the construction of biologically-motivated kernels for cortical ctivities. The kernels we derive, termed Spikernels, map spike count sequences into an abstra ct vector space in which we can perform various prediction tasks. We discuss in detai l the derivation of Spikernels and describe an efficient algorithm for computing its va… CONTINUE READING
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