Non-separable spatiotemporal brain hemodynamics contain neural information

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 7263 LNAI, Issue , 2012, Pages 140-147

  Bießmann, Felix ^a,b,d   Murayama, Yusuke ^b   Logothetis, Nikos K ^b,c   Müller, Klaus Robert ^a,d   Meinecke, Frank C ^a  

^a TECHNISCHE UNIVERSITÄT BERLIN   (Germany)

^b MAX PLANCK INSTITUTE FOR BIOLOGICAL CYBERNETICS   (Germany)

^c UNIVERSITY OF MANCHESTER   (United Kingdom)

^d BERNSTEIN CENTER FOR COMPUTATIONAL NEUROSCIENCE   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ANALYSIS METHOD; DECONVOLUTIONS; EMPIRICAL EVIDENCE; FMRI DATA; FMRI-ANALYSIS; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HEMODYNAMIC RESPONSE FUNCTIONS; HEMODYNAMIC SIGNALS; NEURAL ACTIVITY; NEURAL INFORMATION; NEURAL SIGNALS; SPATIO-TEMPORAL DYNAMICS;

DATA PROCESSING; HEMODYNAMICS; LEARNING SYSTEMS; MAGNETIC RESONANCE IMAGING; NEURONS; SIGNAL SYSTEMS;

FUNCTIONAL NEUROIMAGING;

EID: 84870029803     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-34713-9_18     Document Type: Conference Paper

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