Transductive neural decoding for unsorted neuronal spikes of rat hippocampus

Author(s)
Chen, Zhe; Kloosterman, Fabian; Layton, Stuart Pope; Wilson, Matthew A.
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Abstract
Neural decoding is an important approach for extracting information from population codes. We previously proposed a novel transductive neural decoding paradigm and applied it to reconstruct the rat's position during navigation based on unsorted rat hippocampal ensemble spiking activity. Here, we investigate several important technical issues of this new paradigm using one data set of one animal. Several extensions of our decoding method are discussed.
Date issued
2012-08
URI
http://hdl.handle.net/1721.1/102686
Department
Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences
Journal
2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Citation
Zhe Chen, F. Kloosterman, S. Layton, and M. A. Wilson. “Transductive Neural Decoding for Unsorted Neuronal Spikes of Rat Hippocampus.” 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society (August 2012), San Diego, CA, Aug. 28 2012-Sept.1 2012.
Version: Author's final manuscript
Other identifiers
INSPEC Accession Number: 13131674
ISBN
978-1-4577-1787-1
978-1-4244-4119-8
978-1-4577-1787-1
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