New perspectives on learning, inference, and control in brains and machines.
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주제(키워드)
BAYESIAN METHODS
, BRAIN-COMPUTER INTERFACES
, BRAINS
, Bayesian methods
, Brain-computer interfaces
, COMPUTATIONAL NEUROSCIENCE
, CONTROL
, Computational neuroscience
, EVENT DETECTION
, Event detection
, INFERENCE
, LEARNING
, MACHINES
, NEURAL DATA
, NEW
, Neural data
, PERSPECTIVES
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발행기관
Columbia University
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발행년도
2016
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학위명
박사
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학과 및 전공
Neurobiology and Behavior
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UCI
I804:11009-000000147328
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DOI
10.23186/korea.000000147328.11009.0000976
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제출원본
PQDT10044124
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