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Biological agents do not have infinite resources to learn new things.
Continual Learning via Neural Pruning
Siavash Golkar, Michael Kagan, and Kyunghyun Cho · 1903
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Routing networks and the challenges of modular and compositional computation, 2019
Clemens Rosenbaum, Ignacio Cases, Matthew Riemer, and Tim Klinger · 1904
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Universality and individuality in neural dynamics across large populations of recurrent networks
N Maheswaranathan, Alex H Williams, Matthew D Golub, Surya Ganguli, and David Sussillo · 1907
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Recurrent independent mechanisms, 2019
Anirudh Goyal, Alex Lamb, Jordan Hoffmann, Shagun Sodhani, Sergey Levine, Yoshua Bengio, and Bernhard Schölkopf · 1909
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Continual Learning with Adaptive Weights (CLAW)
Tameem Adel, Han Zhao, and Richard E. Turner · 1911
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Adaptive mixtures of local experts
Robert A. Jacobs, Michael I. Jordan, Steven J. Nowlan, and Geoffrey E. Hinton · 1991
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Catastrophic forgetting in connectionist networks
Robert M. French · 1999
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Gradient flow in recurrent nets: the difficulty of learning long-term dependencies, 2001
Sepp Hochreiter, Yoshua Bengio, Paolo Frasconi, Jürgen Schmidhuber, et al · 2001
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Gradient Surgery for Multi-Task Learning
Tianhe Yu, Saurabh Kumar, Abhishek Gupta, Sergey Levine, Karol Hausman, and Chelsea Finn · 2001
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Real-Time Computing Without Stable States: A New Framework for Neural Computation Based on Perturbations
Wolfgang Maass, Thomas Natschläger, and Henry Markram · 2002
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Continual Learning with Gated Incremental Memories for sequential data processing
Andrea Cossu, Antonio Carta, and Davide Bacciu · 2004
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The effects of prefrontal lesions on working memory performance and theory
C. E. Curtis and M. D’Esposito · 2004
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Meta-learning in neural networks: A survey, 2020
Timothy Hospedales, Antreas Antoniou, Paul Micaelli, and Amos Storkey · 2004
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Harnessing Nonlinearity: Predicting Chaotic Systems and Saving Energy in Wireless Communication
H. Jaeger · 2004
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Top-down predictions in the cognitive brain
Kestutis Kveraga, Avniel S Ghuman, and Moshe Bar · 2007
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Anatomy of catastrophic forgetting: Hidden representations and task semantics, 2020
Vinay V. Ramasesh, Ethan Dyer, and Maithra Raghu · 2007
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Task Set and Prefrontal Cortex
Katsuyuki Sakai · 2008
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State-dependent computations: spatiotemporal processing in cortical networks
Dean V Buonomano and Wolfgang Maass · 2009
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Multi-task learning with deep neural networks: A survey, 2020
Michael Crawshaw · 2009
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Causality: Models, Reasoning and Inference
Judea Pearl · 2009
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Generating Coherent Patterns of Activity from Chaotic Neural Networks
David Sussillo and L F Abbott · 2009
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Are neural nets modular? inspecting functional modularity through differentiable weight masks, 2020
Róbert Csordás, Sjoerd van Steenkiste, and Jürgen Schmidhuber · 2010
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Modular and Hierarchically Modular Organization of Brain Networks
David Meunier, Renaud Lambiotte, and Edward T. Bullmore · 2010
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Life-Span Changes of the Human Brain White Matter: Diffusion Tensor Imaging (DTI) and Volumetry
L. T. Westlye, K. B. Walhovd, A. M. Dale, A. Bjornerud, P. Due-Tonnessen, A. Engvig, H. Grydeland, C. K. Tamnes, Y. Ostby, and A. M. Fjell · 2010
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Locomotor primitives in newborn babies and their development
Nadia Dominici, Yuri P. Ivanenko, Germana Cappellini, Andrea d’Avella, Vito Mondì, Marika Cicchese, Adele Fabiano, Tiziana Silei, Ambrogio Di Paolo, Carlo Giannini, Richard E. Poppele, and Francesco Lacquaniti · 2011
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Functional Network Organization of the Human Brain
Jonathan D. Power, Alexander L. Cohen, Steven M. Nelson, Gagan S. Wig, Kelly Anne Barnes, Jessica A. Church, Alecia C. Vogel, Timothy O. Laumann, Fran M. Miezin, Bradley L. Schlaggar, and Steven E. Petersen · 2011
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From fixed points to chaos: Three models of delayed discrimination
Omri Barak, David Sussillo, Ranulfo Romo, Misha Tsodyks, and L F Abbott · 2013
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Context-dependent computation by recurrent dynamics in prefrontal cortex
Valerio Mante, David Sussillo, Krishna V Shenoy, and William T Newsome · 2013
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Opening the Black Box: Low-Dimensional Dynamics in High-Dimensional Recurrent Neural Networks
David Sussillo and Omri Barak · 2013
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Revealing cell assemblies at multiple levels of granularity
Yazan N Billeh, Michael T Schaub, Costas A Anastassiou, Mauricio Barahona, and Christof Koch · 2014
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Executive control and decision-making in the prefrontal cortex
Philippe Domenech and Etienne Koechlin · 2014
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Alex Graves, Greg Wayne, and Ivo Danihelka · 2014
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A hierarchy of intrinsic timescales across primate cortex
Model-Free Prediction of Large Spatiotemporally Chaotic Systems from Data: A Reservoir Computing Approach
Jaideep Pathak, Brian Hunt, Michelle Girvan, Zhixin Lu, and Edward Ott · 2018
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A Dynamical Systems Perspective on Flexible Motor Timing
Evan D. Remington, Seth W. Egger, Devika Narain, Jing Wang, and Mehrdad Jazayeri · 2018
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Relational recurrent neural networks, 2018
Adam Santoro, Ryan Faulkner, David Raposo, Jack Rae, Mike Chrzanowski, Theophane Weber, Daan Wierstra, Oriol Vinyals, Razvan Pascanu, and Timothy Lillicrap · 2018
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Progress & Compress: A scalable framework for continual learning
Jonathan Schwarz, Jelena Luketina, Wojciech M Czarnecki, Agnieszka Grabska-Barwinska, Yee Whye Teh, Razvan Pascanu, and Raia Hadsell · 2018
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Overcoming Catastrophic Forgetting with Hard Attention to the Task
Joan Serrà, Dídac Surís, Marius Miron, and Alexandros Karatzoglou · 2018
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John D Murray, Alberto Bernacchia, David J Freedman, Ranulfo Romo, Jonathan D Wallis, Xinying Cai, Camillo Padoa-Schioppa, Tatiana Pasternak, Hyojung Seo, Daeyeol Lee, and Xiao-Jing Wang · 2014
Cited alongside, same era.
Aging-dependent changes in the cellular composition of the mouse brain and spinal cord
Y. Fu, Y. Yu, G. Paxinos, C. Watson, and Z. Rusznák · 2015
Cited alongside, same era.
The strength of weak connections in the macaque cortico-cortical network
Alexandros Goulas, Alexander Schaefer, and Daniel S. Margulies · 2015
Cited alongside, same era.
A neural network that finds a naturalistic solution for the production of muscle activity
David Sussillo, Mark M Churchland, Matthew T Kaufman, and Krishna V Shenoy · 2015
Cited alongside, same era.
Brain structure and dynamics across scales: in search of rules
Xiao-Jing Wang and Henry Kennedy · 2015
Cited alongside, same era.
Modular multitask reinforcement learning with policy sketches, 2016
Jacob Andreas, Dan Klein, and Sergey Levine · 2016
Cited alongside, same era.
Tracking the world state with recurrent entity networks
Mikael Henaff, Jason Weston, Arthur Szlam, Antoine Bordes, and Yann LeCun · 2016
Cited alongside, same era.
Prefrontal cortex as a meta-reinforcement learning system
Jane X. Wang, Zeb Kurth-Nelson, Dharshan Kumaran, Dhruva Tirumala, Hubert Soyer, Joel Z. Leibo, Demis Hassabis, and Matthew Botvinick · 2018
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Task representations in neural networks trained to perform many cognitive tasks
Guangyu Robert Yang, Madhura R Joglekar, H Francis Song, William T Newsome, and Xiao-Jing Wang · 2018
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Lifelong learning with dynamically expandable networks
Jaehong Yoon, Eunho Yang, Jeongtae Lee, and Sung Ju Hwang · 2018
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Continuous Learning of Context-dependent Processing in Neural Networks
Guanxiong Zeng, Yang Chen, Bo Cui, and Shan Yu · 2018
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Reinforcement Learning, Fast and Slow
Matthew Botvinick, Sam Ritter, Jane X Wang, Zeb Kurth-Nelson, Charles Blundell, and Demis Hassabis · 2019
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Sequential and efficient neural-population coding of complex task information
Sue Ann Koay, Adam S. Charles, Stephan Y. Thiberge, Carlos D. Brody, and David W. Tank · 2019
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Continual lifelong learning with neural networks: A review
German I. Parisi, Ronald Kemker, Jose L. Part, Christopher Kanan, and Stefan Wermter · 2019
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A deep learning framework for neuroscience
Blake A Richards, Timothy P Lillicrap, Philippe Beaudoin, Yoshua Bengio, Rafal Bogacz, Amelia Christensen, Claudia Clopath, Rui Ponte Costa, Archy Berker, Surya Ganguli, Colleen J Gillon, Danijar Hafner, Adam Kepecs, Nikolaus Kriegeskorte, Peter Latham, Grace W Lindsay, Kenneth D Miller, Richard Naud, Christopher C Pack, Panayiota Poirazi, Pieter Roelfsema, João Sacramento, Andrew Saxe, Benjamin Scellier, Anna C Schapiro, Walter Senn, Greg Wayne, Daniel Yamins, Friedemann Zenke, Joel Zylberberg, Denis Therien, and Konrad P Kording · 2019
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A critique of pure learning and what artificial neural networks can learn from animal brains
Anthony M Zador · 2019
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Preserved visual memory and relational cognition performance in monkeys with selective hippocampal lesions
Benjamin M. Basile, Victoria L. Templer, Regina Paxton Gazes, and Robert R. Hampton · 2020
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Niche Breadth: Causes and Consequences for Ecology, Evolution, and Conservation
Kelly A. Carscadden, Nancy C. Emery, Carlos A. Arnillas, Marc W. Cadotte, Michelle E. Afkhami, Dominique Gravel, Stuart W. Livingstone, and John J. Wiens · 2020
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The role of population structure in computations through neural dynamics
Alexis Dubreuil, Adrian Valente, Manuel Beiran, Francesca Mastrogiuseppe, and Srdjan Ostojic · 2020
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Organizing recurrent network dynamics by task-computation to enable continual learning
Lea Duncker, Laura N Driscoll, Krishna V Shenoy, Maneesh Sahani, and David Sussillo · 2020
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Embracing Change: Continual Learning in Deep Neural Networks
Raia Hadsell, Dushyant Rao, Andrei A. Rusu, and Razvan Pascanu · 2020
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Learning to select actions shapes recurrent dynamics in the corticostriatal system
Christian D. Márton, Simon R. Schultz, and Bruno B. Averbeck · 2020
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Rethinking brain-wide interactions through multi-region ‘network of networks’ models
Matthew G Perich and Kanaka Rajan · 2020
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Inferring brain-wide interactions using data-constrained recurrent neural network models
Matthew G. Perich, Charlotte Arlt, Sofia Soares, Megan E. Young, Clayton P. Mosher, Juri Minxha, Eugene Carter, Ueli Rutishauser, Peter H. Rudebeck, Christopher D. Harvey, and Kanaka Rajan · 2020
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Modularity and robustness of frontal cortical networks
Guang Chen, Byungwoo Kang, Jack Lindsey, Shaul Druckmann, and Nuo Li · 2021
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Rich and lazy learning of task representations in brains and neural networks
Timo Flesch, Keno Juechems, Tsvetomira Dumbalska, Andrew Saxe, and Christopher Summerfield · 2021
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Hierarchical reinforcement learning: A comprehensive survey
Shubham Pateria, Budhitama Subagdja, Ah-hwee Tan, and Chai Quek · 2021
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Maslow’s hammer for catastrophic forgetting: Node re-use vs node activation, 2022
Sebastian Lee, Stefano Sarao Mannelli, Claudia Clopath, Sebastian Goldt, and Andrew Saxe · 2022
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Modular Brain Networks
Olaf Sporns and Richard F. Betzel · 2085
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