Error correcting graphs and long term memory
Event details
| Date | 18.11.2014 |
| Hour | 11:15 › 12:30 |
| Speaker |
Vincent Gripon, Telecom Bretagne Bio: I am an associate professor (litterally in the french system a "Permanent Researcher") with Télécom Bretagne, one of the top French grande école and part of institut mines-télécom. My research interests currently include: Associative memories, Brain inspired algorithms, Data structures, Signal processing on graphs. |
| Location | |
| Category | Conferences - Seminars |
We start with three simplifying hypothesis on brain functioning:
a) brain memory is redundant,
b) brain can be seen as a recurrent neural network and
c) storage of pieces of information in the brain is located at the scale of populations of neurons.
Using principles of error correcting codes, we then propose a very simple model for information storage and retrieval thanks to cliques in neural graphs. We show how this model can be enriched to address complex problems and its connections to actual neuroanatomical knowledge.
a) brain memory is redundant,
b) brain can be seen as a recurrent neural network and
c) storage of pieces of information in the brain is located at the scale of populations of neurons.
Using principles of error correcting codes, we then propose a very simple model for information storage and retrieval thanks to cliques in neural graphs. We show how this model can be enriched to address complex problems and its connections to actual neuroanatomical knowledge.
Practical information
- Expert
- Free
Organizer
- Benjamin RICAUD
Contact
- Benjamin RICAUD