Embedding optimization reveals long-lasting history dependence in neural spiking activity

Information processing can leave distinct footprints on the statistics of neural spiking. For example, efficient coding minimizes the statistical dependencies on the spiking history, while temporal integration of information may require the maintenance of information over different timescales. To in...

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Bibliographic Details
Published in:	PLoS computational biology Vol. 17; no. 6; p. e1008927
Main Authors:	Rudelt, Lucas, González Marx, Daniel, Wibral, Michael, Priesemann, Viola
Format:	Journal Article
Language:	English
Published:	United States Public Library of Science 01.06.2021 Public Library of Science (PLoS)
Subjects:	Action Potentials - physiology Bias Biology and Life Sciences Coding Cognition Computer Simulation Cortex (temporal) Data processing Embedding Engineering and Technology Firing pattern Generalized linear models Hippocampus - cytology Hippocampus - physiology Humans Information processing Information storage Information theory Mathematical optimization Medicine and Health Sciences Models, Neurological Neural coding Neurons Neurons - physiology Noise Optimization Physical Sciences Physiological aspects Regularization methods Research and Analysis Methods Spikes Spiking Statistics Temporal lobe Time measurement Visual cortex Visual Cortex - cytology Visual Cortex - physiology Germany
ISSN:	1553-7358, 1553-734X, 1553-7358
Online Access:	Get full text
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