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Modelling continual learning in humans with Hebbian context gating and
  exponentially decaying task signals

Modelling continual learning in humans with Hebbian context gating and exponentially decaying task signals

22 March 2022
Timo Flesch
D. G. Nagy
Andrew M. Saxe
Christopher Summerfield
ArXivPDFHTML

Papers citing "Modelling continual learning in humans with Hebbian context gating and exponentially decaying task signals"

4 / 4 papers shown
Title
The Cake that is Intelligence and Who Gets to Bake it: An AI Analogy and its Implications for Participation
The Cake that is Intelligence and Who Gets to Bake it: An AI Analogy and its Implications for Participation
Martin Mundt
Anaelia Ovalle
Felix Friedrich
A Pranav
Subarnaduti Paul
Manuel Brack
Kristian Kersting
William Agnew
240
0
0
05 Feb 2025
Bridging Neuroscience and AI: Environmental Enrichment as a Model for Forward Knowledge Transfer
Bridging Neuroscience and AI: Environmental Enrichment as a Model for Forward Knowledge Transfer
Rajat Saxena
Bruce L. McNaughton
CLL
51
2
0
12 May 2024
Continual task learning in natural and artificial agents
Continual task learning in natural and artificial agents
Timo Flesch
Andrew M. Saxe
Christopher Summerfield
CLL
35
24
0
10 Oct 2022
Avoiding Catastrophe: Active Dendrites Enable Multi-Task Learning in
  Dynamic Environments
Avoiding Catastrophe: Active Dendrites Enable Multi-Task Learning in Dynamic Environments
A. Iyer
Karan Grewal
Akash Velu
Lucas O. Souza
Jérémy Forest
Subutai Ahmad
AI4CE
16
41
0
31 Dec 2021
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