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2203.11560
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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
Re-assign community
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Papers citing
"Modelling continual learning in humans with Hebbian context gating and exponentially decaying task signals"
5 / 5 papers shown
Title
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
289
0
0
05 Feb 2025
Bridging Neuroscience and AI: Environmental Enrichment as a Model for Forward Knowledge Transfer
Rajat Saxena
Bruce L. McNaughton
CLL
56
2
0
12 May 2024
Reconciling Shared versus Context-Specific Information in a Neural Network Model of Latent Causes
Qihong Lu
Tan Nguyen
Qiong Zhang
Uri Hasson
Thomas L. Griffiths
Jeffrey M. Zacks
Samuel Gershman
K. A. Norman
32
4
0
13 Dec 2023
Continual task learning in natural and artificial agents
Timo Flesch
Andrew M. Saxe
Christopher Summerfield
CLL
43
24
0
10 Oct 2022
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
29
41
0
31 Dec 2021
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