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

Christopher Summerfield

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

9 / 9 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 317 0 0 05 Feb 2025
Context Gating in Spiking Neural Networks: Achieving Lifelong Learning through Integration of Local and Global Plasticity Jiangrong Shen Wenyao Ni Qi Xu Gang Pan Huajin Tang CLL 35 1 0 04 Jun 2024
Bridging Neuroscience and AI: Environmental Enrichment as a Model for Forward Knowledge Transfer Rajat Saxena Bruce L. McNaughton CLL 59 2 0 12 May 2024
Continual Learning and Catastrophic Forgetting Gido M. van de Ven Nicholas Soures Dhireesha Kudithipudi 34 48 0 08 Mar 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 35 4 0 13 Dec 2023
Context selectivity with dynamic availability enables lifelong continual learning M. Barry W. Gerstner G. Bellec CLL 13 0 0 02 Jun 2023
A Study of Biologically Plausible Neural Network: The Role and Interactions of Brain-Inspired Mechanisms in Continual Learning F. Sarfraz Elahe Arani Bahram Zonooz 32 2 0 13 Apr 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 32 41 0 31 Dec 2021