Title :
Transductive neural decoding for unsorted neuronal spikes of rat hippocampus
Author :
Zhe Chen ; Kloosterman, Fabian ; Layton, S. ; Wilson, M.A.
Author_Institution :
Dept. of Brain & Cognitive Sci., MIT, Cambridge, MA, USA
fDate :
Aug. 28 2012-Sept. 1 2012
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.
Keywords :
bioelectric phenomena; brain; decoding; neurophysiology; decoding method; information extraction; population codes; rat position; spiking activity; transductive neural decoding paradigm; unsorted neuronal spikes; unsorted rat hippocampus; Decoding; Entropy; Estimation; Kernel; Sociology; Sorting; Statistics; Action Potentials; Algorithms; Animals; Bayes Theorem; Behavior, Animal; CA1 Region, Hippocampal; Electroencephalography; Models, Neurological; Neurons; Rats; Regression Analysis; Signal Processing, Computer-Assisted; Statistics, Nonparametric;
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2012 Annual International Conference of the IEEE
Conference_Location :
San Diego, CA
Print_ISBN :
978-1-4244-4119-8
Electronic_ISBN :
1557-170X
DOI :
10.1109/EMBC.2012.6346178
