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SUMMARY:Computational Neuroscience Journal Club - David Liu and Edward You
 ng
DTSTART:20220405T123000Z
DTEND:20220405T140000Z
UID:TALK172271@talks.cam.ac.uk
CONTACT:Jake Stroud
DESCRIPTION:Please join us for our fortnightly journal club online via zoo
 m where two presenters will jointly present a topic together. The next top
 ic is ‘Energy consumption and neural coding precision trade-off’ prese
 nted by David Liu and Edward Young.\n\nZoom information:\nhttps://us02web.
 zoom.us/j/84958321096?pwd=dFpsYnpJYWVNeHlJbEFKbW1OTzFiQT09\nMeeting ID: 84
 9 5832 1096\nPasscode: 506576\n\nSummary:\nThe brain is a remarkable infor
 mation processing system\, exhibiting learning abilities outside the reach
  of current state-of-the-art machine learning algorithms. Even more remark
 able is the energy efficiency of such biological systems compared to our s
 ilicon devices. In this journal club\, we discuss two papers on the metabo
 lic cost aspects of information processing in the brain. First\, we presen
 t the classic paper "The metabolic cost of neural information" by Laughlin
  et al. Nature Neuroscience (1998)\, which quantifies the energy usage of 
 known neural coding schemes based on experimental data. Second\, we discus
 s the recent paper "Neocortex saves energy by reducing coding precision du
 ring food scarcity" by Padamsey et al.\, Neuron (2022)\, where the authors
  show how the mammalian brain regulates its energy usage during food scarc
 ity. This reveals a trade-off between energy usage and coding precision\, 
 regulated by changes in biochemical processes that lead to different elect
 rophysiological properties of single neurons.\n\nReferences:\n\n"The metab
 olic cost of neural information" by Laughlin et al. Nature Neuroscience (1
 998).\n \n"Neocortex saves energy by reducing coding precision during food
  scarcity" by Padamsey et al.\, Neuron (2022).
LOCATION:Online on Zoom
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