HOWARD, MARC W Toward a Theory for Macroscopic Neural Computation Based on Laplace Transform EB022864
We have worked on a theory for how populations of neurons represent information and manipulate information. The theory interfaces well with cognitive models, especially for working memory tasks. The theory predicts that neural populations come in pairs. The optimal data for us has spikes from many simultaneously recorded neurons from more than one brain region during a complex behavior that we can analyze. The model is scale-invariant so very ``slow'' tasks (extended over more than a minute per trial) are of special interest.
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