Springe zu

Neo-Hebbian three-factor rules of synaptic plasticity: surprise, surprise!

Hebbbian learning has been the dominant paradigm of synaptic plasticity. Hebbian learning works with two factors, i.e., a combination of presynaptic spike arrivals with postsynaptic activation. In a more general theory, Hebbian learning just sets an eligibility trace and marks the synapse as being ready for change, but a third factor is needed to turn the potential plasticity into an actual change of synaptic weight. In this talk I discuss experimental and theoretical evidence supporting such a framework: In biology, the third factor could be provided by broadly projecting neuromodulators. In models, the third factor could be not just moments of reward, but also moments of surprise. The last part of my talk will focus on our recent work around surprise.




 





Info

Item state changed.



 

Wulfram Gerstner: Neo-Hebbian three-factor rules of synaptic plasticity: surprise, surprise!



by Gundel Jaeger last modified Dec 21, 2020 05:44 PM History

 


École polytechnique fédérale de Lausanne EPFL, Brain Mind Institute, Lausanne, Switzerland [BERNSTEIN SEMINAR]

 


























WhenJan 26, 2021
from 05:15 PM to 06:00 PM
Where Zoom Meeting. Meeting ID and password will be sent with the e-mail invitation. You can also contact Fiona Siegfried for meeting ID and password.
Contact Name
Contact Phone 0761 203 9549
Add event to calendar vCal
iCal



 Abstract

Hebbbian learning has been the dominant paradigm of synaptic plasticity. Hebbian learning works with two factors, i.e., a combination of presynaptic spike arrivals with postsynaptic activation. In a more general theory, Hebbian learning just sets an eligibility trace and marks the synapse as being ready for change, but a third factor is needed to turn the potential plasticity into an actual change of synaptic weight. In this talk I discuss experimental and theoretical evidence supporting such a framework: In biology,  the third factor could be provided by broadly projecting neuromodulators.  In models, the third factor could be not just moments of reward, but also moments of surprise. The last part of my talk will focus on our  recent work around surprise.



Literature


[1] Eligibility traces and plasticity on behavioral time scales: experimental support of neoHebbian three-factor learning rules. W Gerstner, M Lehmann, V Liakoni, D Corneil, J Brea.
Frontiers in neural circuits 12, 53 (2018)

[2]One-shot learning and behavioral eligibility traces in sequential decision making. MP Lehmann, HA Xu, V Liakoni, MH Herzog, W Gerstner, K Preuschoff.
Elife 8, e47463 (2019)

[3] An Approximate Bayesian Approach to Surprise-Based Learning. V Liakoni, A Modirshanechi, W Gerstner, J Brea.
To appear in Neural Computation (2021), arXiv preprint arXiv:1907.02936

[4] Novelty is not surprise. H.A. Xu, A. Modirshanechi, M.P. Lehmann, W. Gerstner, M.H. Herzog (2020).
bioRxiv doi: https://doi.org/10.1101/2020.09.24.311084









Webseite:
https://www.neuro.uni-freiburg.de/events/bernstein-center-freiburg/20210126_Gerstner

Interne Verantwortlichkeit:
Bernstein Center Freiburg (BCF)

Kontakt:
Fiona Siegfried
0761 203-9549
siegfried@bcf.uni-freiburg.de