Innovative Methodology Bayesian decoding using unsorted spikes in the rat hippocampus
نویسندگان
چکیده
Fabian Kloosterman, Stuart P. Layton, Zhe Chen, and Matthew A. Wilson Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, Massachusetts; Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, Massachusetts; NERF, Leuven, Belgium; imec, Leuven, Belgium; Laboratory of Biological Psychology, Department of Psychology, KU Leuven, Leuven, Belgium; and Neuroscience Statistics Research Lab, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
منابع مشابه
Bayesian decoding using unsorted spikes in the rat hippocampus.
A fundamental task in neuroscience is to understand how neural ensembles represent information. Population decoding is a useful tool to extract information from neuronal populations based on the ensemble spiking activity. We propose a novel Bayesian decoding paradigm to decode unsorted spikes in the rat hippocampus. Our approach uses a direct mapping between spike waveform features and covariat...
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