Characterizing learning by simultaneous analysis of continuous and binary measures of performance. - Test2 - elhamkhani - TriplyDB

Characterizing learning by simultaneous analysis of continuous and binary measures of performance.

Characterizing learning by simultaneous analysis of continuous and binary measures of performance.

http://www.wikidata.org/entity/Q37422227

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Tracking the sleep onset process: an empirical model of behavioral and physiological dynamics Statistical modeling of behavioral dynamics during propofol-induced loss of consciousness A likelihood method for computing selection times in spiking and local field potential activity.Estimating latent attentional states based on simultaneous binary and continuous behavioral measures.Simultaneous Modeling of Disease Status and Clinical Phenotypes To Increase Power in Genome-Wide Association Studies.Estimating a dynamic state to relate neural spiking activity to behavioral signals during cognitive tasks.Multi-modal Encoding of Novelty, Reward, and Learning in the Primate Nucleus Basalis of Meynert.Tracking motor improvement at the subtask level during robot-aided neurorehabilitation of stroke patients.

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Characterizing learning by simultaneous analysis of continuous and binary measures of performance.

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description

article científic

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articolo scientifico

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artigo científico

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bilimsel makale

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scientific article published on 19 August 2009

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vedecký článok

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vetenskaplig artikel

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videnskabelig artikel

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vědecký článek

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Characterizing learning by sim ...... inary measures of performance.

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Characterizing learning by sim ...... inary measures of performance.

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Characterizing learning by sim ...... inary measures of performance.

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Characterizing learning by sim ...... inary measures of performance.

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Characterizing learning by sim ...... inary measures of performance.

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Journal of Neurophysiology

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Characterizing learning by sim ...... inary measures of performance.

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A C Smith

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A M Graybiel

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E N Brown

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M J Prerau

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M Yanike

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3060-3072

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10.1152/JN.91251.2008

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19692505

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