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Stabilized supralinear network dynamics account for stimulus-induced changes of noise variability in the cortex
Guillaume Hennequin, Yashar Ahmadian, Daniel B. Rubin, Máté Lengyel, Kenneth D. Miller
doi: https://doi.org/10.1101/094334
Guillaume Hennequin
1Computational and Biological Learning Lab, Dept. of Engineering, University of Cambridge, Cambridge, UK
Yashar Ahmadian
2Center for Theoretical Neuroscience, College of Physicians and Surgeons, Columbia University, NY, NY 10032, USA
3Dept. of Neuroscience, Swartz Program in Theoretical Neuroscience, Kavli Institute for Brain Science, College of Physicians and Surgeons, Columbia University, NY, NY 10032, USA
4Centre de Neurophysique, Physiologie, et Pathologie, CNRS, Paris, France
5Institute of Neuroscience, Dept. of Biology and Mathematics, University of Oregon, Eugene, OR 97403, USA
Daniel B. Rubin
2Center for Theoretical Neuroscience, College of Physicians and Surgeons, Columbia University, NY, NY 10032, USA
6Dept. of Neurology, Massachuses General Hospital and Brigham and Women’s Hospital, Harvard Medical School, Boston, USA
Máté Lengyel
1Computational and Biological Learning Lab, Dept. of Engineering, University of Cambridge, Cambridge, UK
Kenneth D. Miller
2Center for Theoretical Neuroscience, College of Physicians and Surgeons, Columbia University, NY, NY 10032, USA
3Dept. of Neuroscience, Swartz Program in Theoretical Neuroscience, Kavli Institute for Brain Science, College of Physicians and Surgeons, Columbia University, NY, NY 10032, USA
Article usage
Posted December 14, 2016.
Stabilized supralinear network dynamics account for stimulus-induced changes of noise variability in the cortex
Guillaume Hennequin, Yashar Ahmadian, Daniel B. Rubin, Máté Lengyel, Kenneth D. Miller
bioRxiv 094334; doi: https://doi.org/10.1101/094334
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