Optimal sensors in random environments
Sarah Marzen, Massachusetts Institute of Technology, Physics of Living Systems
note location change to 411 West Hall
Abstract: The efficient coding hypothesis has revolutionized theoretical neuroscience. I would argue that its next-generation instantiation is best understood using rate-distortion theory. I use rate-distortion theory to inspire a simple model of sensory adaptation. In randomly drawn, fluctuating environments, this model explains the absence of sensory neurogenesis and predicts that biological sensors are poised to just barely confuse ``minimal confounds'' in the environment.
Abstract: The efficient coding hypothesis has revolutionized theoretical neuroscience. I would argue that its next-generation instantiation is best understood using rate-distortion theory. I use rate-distortion theory to inspire a simple model of sensory adaptation. In randomly drawn, fluctuating environments, this model explains the absence of sensory neurogenesis and predicts that biological sensors are poised to just barely confuse ``minimal confounds'' in the environment.
Building: | West Hall |
---|---|
Event Type: | Workshop / Seminar |
Tags: | Biology, Biophysics, Complex Systems, Physics, Research |
Source: | Happening @ Michigan from The Center for the Study of Complex Systems, Department of Physics, LSA Biophysics |