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Lecture Quantitative Tools for Neuroscience Questions
12/22/2021 09:08 Quantitative Tools for Neuroscience QuestionsDr. Ari Pakman | Department of Statistics & the Center for Theoretical Neuroscience, Columbia UniversityWed, Dec 22, 12:30 | Arthur and Rochelle Belfer Building for Biomedical Research
As bigger neuroscience datasets are generated with novel observation modalities, so grows the need for computational tools to answer basic questions. What different types of neurons exist in a population? How to sort out neurons from their electric activity? How do neurons process information? I will present statistical, machine learning and information-theoretic tools that address such questions. In particular, I will discuss new solutions to the problem of classifying neuron types using genetic markers, amortizing spike-sorting in modern multi-electrode arrays and disentangling the simultaneous presence of synergy and redundancy in neural information processing circuits.
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