Related Experiment Video
Updated: Jun 11, 2026

Applications of EEG Neuroimaging Data: Event-related Potentials, Spectral Power, and Multiscale Entropy
Published on: June 27, 2013
Probability of repeating patterns in simultaneous neural data
Anne C Smith1, Vinh Kha Nguyen, Mattias P Karlsson
1Department of Anesthesiology and Pain Medicine, University of California, Davis, Davis, CA 95616, USA. annesmith@ucdavis.edu
Abstract:
Large data sets arising from neurophysiological experiments are frequently observed with repeating temporal patterns. Our ability to decode these patterns is dependent on the development of methods to assess whether the patterns are significant or occurring by chance. Given a hypothesized sequence within these data, we derive probability formulas to allow assessment of the likelihood of recurrence occurring by chance. We illustrate our approach using data from hippocampal neurons from awake, behaving rats.
Related Concept Videos
Neural Circuits
Neuronal pools are collections of nerve cells with similar functions and interact through chemical and electrical signals. These pools include both interneurons (the central neural circuit nodes that...
Parallel Processing

