Demixed principal component analysis of neural population data

Neurons in higher cortical areas, such as the prefrontal cortex, are often tuned to a variety of sensory and motor variables, and are therefore said to display mixed selectivity. This complexity of single neuron responses can obscure what information these areas represent and how it is represented....

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Veröffentlicht in:	eLife Jg. 5
Hauptverfasser:	Kobak, Dmitry, Brendel, Wieland, Constantinidis, Christos, Feierstein, Claudia E, Kepecs, Adam, Mainen, Zachary F, Qi, Xue-Lian, Romo, Ranulfo, Uchida, Naoshige, Machens, Christian K
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	England eLife Sciences Publications Ltd 12.04.2016 eLife Sciences Publications, Ltd
Schlagworte:	Animals Datasets as Topic Decision Making - physiology dimensionality reduction Macaca mulatta Memory Memory, Short-Term - physiology Methods Motor Neurons - cytology Motor Neurons - physiology Multifactor Dimensionality Reduction - methods Neural coding Neurons Neuroscience Neurosciences Olfactory Perception - physiology Population population activity Prefrontal cortex Prefrontal Cortex - anatomy & histology Prefrontal Cortex - cytology Prefrontal Cortex - physiology principal component analysis Principal Component Analysis - methods Rats Reward Sensory Receptor Cells - cytology Sensory Receptor Cells - physiology Somatosensory cortex Spatial Navigation - physiology Task Performance and Analysis United States > US Mexico dimensionality reduction rhesus macaque rat neuroscience prefrontal cortex population activity principal component analysis
ISSN:	2050-084X, 2050-084X
Online-Zugang:	Volltext
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