University of Cambridge > Talks.cam > Adrian Seminars in Neuroscience > Adrian Seminar - "Computational model of rapid learning in hippocampus".

  Browse A-Z

Log in

Googledetails Microsoftdetails

🔐 Log In

Information on

Subscribing to talksdetails Finding a talkdetails Adding a talkdetails Disseminating talksdetails Help and Documentationdetails

ℹ️ Information

Adrian Seminar - "Computational model of rapid learning in hippocampus".

Download to your calendar using vCal

If you have a question about this talk, please contact Lyn Dakin .

The formation of memories is a constrained process. First, a memory engram must be created quickly as we often only see a stimulus once, yet can remember it long after. This constraint is commonly referred to as one-shot learning. Second, experimental evidence has shown that the memory engrams we form can be replayed in compressed time. This occurs during sharp wave ripples in the hippocampus which are compressed forms of the spike sequences elicited by external stimuli. Thus, not only can we learn instantly, we can learn in an instantly compressible manner. I will present a computational model where internally generated theta sequences in the hippocampus allow for one-shot, compressible, learning by acting as a compressible temporal backbone for new spike sequences evoked by environmental stimuli.

This talk is part of the Adrian Seminars in Neuroscience series.

This talk is included in these lists:

Note that ex-directory lists are not shown.

Other lists

Translational Science in the UK CJBS, 109 Castle Teaching Room The Møller Centre, Churchill College, Cambridge CB3 0DE

Other talks

Title to be confirmed Topology of the Ritz energy landscape Decoding genomic chaos - a pancancer compendium of chromosomal instability A scientists guide to the art of radiation therapy and Neurosurgery for the oncologist Title to be confirmed Argentina 2005
 

© 2006-2025 Talks.cam, University of Cambridge. Contact Us | Help and Documentation | Privacy and Publicity