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A Neural Network Model of Continual Learning with Cognitive Control
v1v2 (latest)

A Neural Network Model of Continual Learning with Cognitive Control

Annual Meeting of the Cognitive Science Society (CogSci), 2022
9 February 2022
Jacob Russin
Maryam Zolfaghar
Seongmin A. Park
E. Boorman
R. C. O'Reilly
    CLL
ArXiv (abs)PDFHTML

Papers citing "A Neural Network Model of Continual Learning with Cognitive Control"

5 / 5 papers shown
Dual Process Learning: Controlling Use of In-Context vs. In-Weights Strategies with Weight Forgetting
Dual Process Learning: Controlling Use of In-Context vs. In-Weights Strategies with Weight Forgetting
Suraj Anand
Michael A. Lepori
Jack Merullo
Ellie Pavlick
CLL
525
10
0
28 May 2024
The dynamic interplay between in-context and in-weight learning in humans and neural networks
The dynamic interplay between in-context and in-weight learning in humans and neural networks
Jacob Russin
Ellie Pavlick
Michael J. Frank
308
4
0
13 Feb 2024
Reconciling Shared versus Context-Specific Information in a Neural
  Network Model of Latent Causes
Reconciling Shared versus Context-Specific Information in a Neural Network Model of Latent CausesScientific Reports (Sci Rep), 2023
Qihong Lu
Tan Nguyen
Qiong Zhang
Uri Hasson
Thomas Griffiths
Jeffrey M. Zacks
Samuel Gershman
K. A. Norman
282
6
0
13 Dec 2023
Continual task learning in natural and artificial agents
Continual task learning in natural and artificial agentsTrends in Neurosciences (TINS), 2022
Timo Flesch
Andrew M. Saxe
Christopher Summerfield
CLL
150
33
0
10 Oct 2022
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
Timo Flesch
D. G. Nagy
Andrew M. Saxe
Christopher Summerfield
327
45
0
22 Mar 2022
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