University of Cambridge > > Making connections- brains and other complex systems > From Connectome to Computation Through the Genomic Bottleneck

From Connectome to Computation Through the Genomic Bottleneck

Add to your list(s) Download to your calendar using vCal

  • UserProf. Tony Zador, Cold Spring Harbor Laboratory.
  • ClockThursday 20 April 2023, 15:00-16:00
  • HouseOnline.

If you have a question about this talk, please contact Sofia Orellana.

Artificial neural networks (ANNs) have undergone a revolution. However, the success of ANNs is based on massive amounts of training data. By contrast, most animal behavior is not the result of clever learning 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 compressed through a “genomic bottleneck”. The genomic bottleneck suggests a path toward ANNs capable of rapid learning

This talk is part of the Making connections- brains and other complex systems series.

Tell a friend about this talk:

This talk is included in these lists:

Note that ex-directory lists are not shown.


© 2006-2024, University of Cambridge. Contact Us | Help and Documentation | Privacy and Publicity