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Computational Neuroscience Advisory

Advisory on machine learning for neural and behavioral signals, including electrophysiology, cortical rhythms, and cognitive tasks. The analysis plan depends on the recording, experiment, and research question.

Scope

What this advisory can cover

Plan analyses for spike trains and local field potentials
Compare machine-learning approaches for neural signals
Study electrophysiological patterns during cognitive tasks
Review methods for identifying cortical layers and neural rhythms
Visualize results for researcher review
Match model evaluation to the experimental design and sample
Related work

Published work related to this advisory area

Selected publications, talks, and projects related to this area. Each link opens the work and its original source.