cnl.salk.eduCNL : The Computational Neurobiology Laboratory

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Title:CNL : The Computational Neurobiology Laboratory

Description:Home Publications People Research 2011 Research 2016 Photos Links Contact The Computational Neurobiology Laboratory Loading Google Search The Sejnowski Lab: Bridging the Levels The long range goal is

Keywords:Science,Neuroscience,Brain Function,Motor Control,Visual Perception,Neural Coding,Memory Systems,Sleep,Neural Mechanisms ,Communication Systems,Neural Circuits,Neuron Integration,Synaptic Processing,Brain Disorders,Multiple Sclerosis,Schizophrenia,Epilepsy,Computational Tools,Independent Component Analysis,MCell...

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Science3
Neuroscience2
Brain Function0
Motor Control0
Visual Perception0
Neural Coding0
Memory Systems0
Sleep1
Neural Mechanisms0
Communication Systems0
Neural Circuits1
Neuron Integration0
Synaptic Processing0
Brain Disorders0
Multiple Sclerosis0
Schizophrenia1
Epilepsy0
Computational Tools0
Independent Component Analysis0
MCell1

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Home Publications People Research 2011 Research 2016 Photos Links Contact The Computational Neurobiology Laboratory Loading Google Search The Sejnowski Lab: Bridging the Levels The long range goal is to build bridges between brain levels from the biophysical properties of synapses to the function of neural systems using combined experimental and computational approaches. The central issues being addressed are how dendrites integrate synaptic signals in neurons, how neural circuits generate behavior, and how learning and sleep adaptively modify these circuits. Fast-spiking parvalbumin-positive interneurons are the focus of both computational and experimental studies of attention in the visual cortex and dysfunction in schizophrenia. Synapses are explored with Monte Carlo methods (MCell) and brain activity is analyzed with the independent components analysis (ICA). Latest Publications: Curriculum Vitae Sejnowski, T. J. The unreasonable effectiveness of deep learning in artificial intelligence, Proceedings of the National Academy of Sciences U.S.A., 2020 (PDF) Lainscsek, C., Rungratsameetaweemana, N., Cash, S. S., Sejnowski, T. J. Cortical chimera states predict epileptic seizures, Chaos, 29, 121106, 2019 (PDF) MULLER, L. E. Davis, Z. W. Reynolds, J. H. Sejnowski, T. J. Multichannel recordings in neuroscience: New computational methods for spatiotemporal patterns during fluctuating neural dynamics, Society for Neuroscience Abstracts, 2019 More Publications Events: 25th Joint Symposium on Neural Computation NeurIPS (Neural Information Processing Systems) Conference: Dec 8 - Dec 14, 2019, Vancouver Don Norman's 2018 Rockwood Lecture at the Institure for Neural Computation Latest Link: Learning How to Learn is the most popular MOOC of all time The State of the NIH BRAIN Initiative BRAIN Initiative announcement, April 2, 2013: Photo 1 Photo 2 Photo 3 What's Hot: Cortical travelling waves: mechanisms and computational principles New MOOC on Mindshift: Break Through Obstacles to Learning and Discover Your Hidden Potential New book on The Deep Learning Revolution New book on Learning How to Learn: How to Succeed in School Without Spending All Your Time Studying; A Guide for Kids and Teens γ...