B
Bijan Pesaran
Researcher at Center for Neural Science
Publications - 125
Citations - 8785
Bijan Pesaran is an academic researcher from Center for Neural Science. The author has contributed to research in topics: Local field potential & Computer science. The author has an hindex of 34, co-authored 112 publications receiving 7672 citations. Previous affiliations of Bijan Pesaran include California Institute of Technology & New York University.
Papers
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Journal ArticleDOI
Analysis of Dynamic Brain Imaging Data
Partha P. Mitra,Bijan Pesaran +1 more
TL;DR: The development of a decomposition technique (space-frequency singular value decomposition) that is shown to be a useful means of characterizing the image data and an algorithm, based on multitaper methods, for the removal of approximately periodic physiological artifacts arising from cardiac and respiratory sources are developed.
Posted Content
Temporal structure in neuronal activity during working memory in Macaque parietal cortex
Bijan Pesaran,John S. Pezaris,John S. Pezaris,Maneesh Sahani,Partha P. Mitra,Richard A. Andersen +5 more
TL;DR: In this article, the temporal structure of single unit (SU) activity and simultaneously recorded local field potential (LFP) activity from area LIP in the inferior parietal lobe of two awake macaques during a memory-saccade task were investigated.
Journal ArticleDOI
Temporal structure in neuronal activity during working memory in macaque parietal cortex
Bijan Pesaran,John S. Pezaris,John S. Pezaris,Maneesh Sahani,Partha P. Mitra,Richard A. Andersen +5 more
TL;DR: The temporal structure of local field potential activity and spiking from area LIP in two awake macaques during a memory-saccade task was studied and it was found that LFP activity in parietal cortex discriminated between preferred and anti-preferred direction with approximately the same accuracy as the spike rate.
Journal ArticleDOI
A procedure for an automated measurement of song similarity
TL;DR: A fully automated procedure that measures parametrically the similarity between songs, and can be used to examine imitation accuracy across acoustic features; song development; the effect of brain lesions on specific song features; and variability across different renditions of a song or a call.
Journal ArticleDOI
Free choice activates a decision circuit between frontal and parietal cortex
TL;DR: It is proposed that a decision circuit featuring a sub-population of cells in frontal and parietal cortex may exchange information to coordinate activity between these areas, which may influence movement choices by providing a common bias to the selection of movement goals.