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SUMMARY:From Connectome to Computation Through the Genomic Bottleneck - Pr
 of. Tony Zador\, Cold Spring Harbor Laboratory.
DTSTART:20230420T140000Z
DTEND:20230420T150000Z
UID:TALK199666@talks.cam.ac.uk
CONTACT:Sofia Orellana
DESCRIPTION:Artificial neural networks (ANNs) have undergone a revolution.
  However\, the success of ANNs is based on massive amounts of training dat
 a. By contrast\,  most animal behavior is not the result of clever learnin
 g algorithms—supervised or unsupervised— but is encoded in the genome.
  Specifically\, animals are born with highly structured brain connectivity
 \, which enables them to learn very rapidly. Because the wiring diagram is
  far too complex to be specified explicitly in the genome\, it must be com
 pressed through a “genomic bottleneck”. The genomic bottleneck suggest
 s a path toward ANNs capable of rapid learning
LOCATION:Online
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