Mark Histed Unit on Neural and Computational Behavior NIMH Cortical sensory processing at the single neuron level: circuits, computations, and behavior During any behavior, many thousands or millions of neurons in the brain change their activity. To understand how the brain controls behaviors, it is important to identify the computational steps required, and […]
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Peter Mucha Department of Mathematics Department of Applied Physical Sciences Curriculum in Informatics and Computational Biology UNC Chapel Hill Location: 10 Leidy Labs Communities and Classification in Network Data Community detection describes the organization of a network in terms of patterns of connection. A wide variety of methods for community detection have […]
The effect of left hemisphere stroke on statistical language learning Human learners are known to capitalize on the statistical regularities in their environment in order to acquire both linguistic and non-linguistics patterns. Neuroimaging studies in healthy young adults associate this kind of learning with the left inferior frontal gyrus (LIFG), left arcuate fasciculus, and […]
Dinesh Manocha Department of Electrical Engineering University of Washington Location: Wu & Chen Auditorium, 101 Levine Hall Title and abstract forthcoming
Henry Abarbanel Director, Nonlinear Science Program Department of Physics University of California, San Diego Data Assimilation and Machine Learning as Statistical Physics Problems: Uses in Neuroscience and Deepest Learning Many problems in Neurobiology and the Biology of Neural Systems require transferring sparse information from noisy laboratory observations to models of the complex, nonlinear […]