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Rapidly learning from ongoing experiences and remembering past events with a flexible memory system are two core capacities of biological intelligence.
The organization of behavior. a neuropsychological theory
DO Hebb · 1949
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Selective impairment of learning and blockade of long-term potentiation by an n-methyl-d-aspartate receptor antagonist, ap5
RGM Morris, Elizabeth Anderson, GS a Lynch, and Michel Baudry · 1986
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Shifting inductive bias with success-story algorithm, adaptive levin search, and incremental self-improvement
Jürgen Schmidhuber, Jieyu Zhao, and Marco Wiering · 1997
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Synaptic plasticity and memory: an evaluation of the hypothesis
SP Martin, Paul D Grimwood, Richard GM Morris, et al · 2000
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Learning-induced ltp in neocortex
Mengia-S Rioult-Pedotti, Daniel Friedman, and John P Donoghue · 2000
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Neuromodulatory transmitter systems in the cortex and their role in cortical plasticity
Qiang Gu · 2002
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Synaptic computation
LF Abbott and Wade G Regehr · 2004
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Nmda receptors, place cells and hippocampal spatial memory
Kazu Nakazawa, Thomas J McHugh, Matthew A Wilson, and Susumu Tonegawa · 2004
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Striatal plasticity and basal ganglia circuit function
A. C. Kreitzer and R. C. Malenka · 2008
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Synaptic plasticity, memory and the hippocampus: a neural network approach to causality
Guilherme Neves, Sam F Cooke, and Tim VP Bliss · 2008
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Dopamine in motor cortex is necessary for skill learning and synaptic plasticity
M. L. Katiuska, P. Ana, R. Sebastian, H. Benjamin, S. G. Maximilian, R. P. Mengia-Seraina, A. R. Luft, and L. Jan · 2009
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Learning multiple layers of features from tiny images
Alex Krizhevsky, Geoffrey Hinton, et al · 2009
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Dopamine is required for learning and forgetting in drosophila
Jacob A Berry, Isaac Cervantes-Sandoval, Eric P Nicholas, and Ronald L Davis · 2012
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On the optimization of a synaptic learning rule
Samy Bengio, Yoshua Bengio, Jocelyn Cloutier, and Jan Gescei · 2013
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Engineering a memory with ltd and ltp
Sadegh Nabavi, Rocky Fox, Christophe D Proulx, John Y Lin, Roger Y Tsien, and Roberto Malinow · 2014
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Neuromodulation of neurons and synapses
Farzan Nadim and Dirk Bucher · 2014
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Dynamic learning and memory, synaptic plasticity and neurogenesis: an update
Ales Stuchlik · 2014
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Sleep facilitates memory by blocking dopamine neuron-mediated forgetting
Jacob A Berry, Isaac Cervantes-Sandoval, Molee Chakraborty, and Ronald L Davis · 2015
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Coordinated and compartmentalized neuromodulation shapes sensory processing in drosophila
Raphael Cohn, Ianessa Morantte, and Vanessa Ruta · 2015
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Role of dopamine neurons in reward and aversion: a synaptic plasticity perspective
Marco Pignatelli and Antonello Bonci · 2015
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Learning to learn by gradient descent by gradient descent
Marcin Andrychowicz, Misha Denil, Sergio Gomez, Matthew W Hoffman, David Pfau, Tom Schaul, Brendan Shillingford, and Nando De Freitas · 2016
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Using fast weights to attend to the recent past
Jimmy Ba, Geoffrey E Hinton, Volodymyr Mnih, Joel Z Leibo, and Catalin Ionescu · 2016
Cited alongside, same era.
Toward an integration of deep learning and neuroscience
Adam H Marblestone, Greg Wayne, and Konrad P Kording · 2016
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Meta-learning with memory-augmented neural networks
Adam Santoro, Sergey Bartunov, Matthew Botvinick, Daan Wierstra, and Timothy Lillicrap · 2016
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Matching networks for one shot learning
Oriol Vinyals, Charles Blundell, Timothy Lillicrap, Daan Wierstra, et al · 2016
Cited alongside, same era.
Behavioral time scale synaptic plasticity underlies ca1 place fields
Katie C Bittner, Aaron D Milstein, Christine Grienberger, Sandro Romani, and Jeffrey C Magee · 2017
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Model-agnostic meta-learning for fast adaptation of deep networks
Chelsea Finn, Pieter Abbeel, and Sergey Levine · 2017
Meta-learning with differentiable convex optimization
Kwonjoon Lee, Subhransu Maji, Avinash Ravichandran, and Stefano Soatto · 2019
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Backpropamine: training self-modifying neural networks with differentiable neuromodulated plasticity
Thomas Miconi, Aditya Rawal, Jeff Clune, and Kenneth O. Stanley · 2019
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Metalearned neural memory
Tsendsuren Munkhdalai, Alessandro Sordoni, Tong Wang, and Adam Trischler · 2019
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Meta-learning deep energy-based memory models
Sergey Bartunov, Jack Rae, Simon Osindero, and Timothy Lillicrap · 2020
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Language models are few-shot learners
Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, et al · 2020
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Improving generalization in meta reinforcement learning using learned objectives
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Cited alongside, same era.
Hypernetworks
David Ha, Andrew M. Dai, and Quoc V. Le · 2017
Cited alongside, same era.
Encoding of discriminative fear memory by input-specific ltp in the amygdala
Woong Bin Kim and Jun-Hyeong Cho · 2017
Cited alongside, same era.
Decoupled weight decay regularization
Ilya Loshchilov and Frank Hutter · 2017
Cited alongside, same era.
Optimization as a model for few-shot learning
Sachin Ravi and Hugo Larochelle · 2017
Cited alongside, same era.
Prototypical networks for few-shot learning
Jake Snell, Kevin Swersky, and Richard Zemel · 2017
Cited alongside, same era.
Dropblock: A regularization method for convolutional networks
Golnaz Ghiasi, Tsung-Yi Lin, and Quoc V Le · 2018
Cited alongside, same era.
Louis Kirsch, Sjoerd van Steenkiste, and Juergen Schmidhuber · 2020
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H-mem: Harnessing synaptic plasticity with hebbian memory networks
Thomas Limbacher and Robert Legenstein · 2020
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Synaptic plasticity forms and functions
Jeffrey C. Magee and Christine Grienberger · 2020
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Meta-learning through hebbian plasticity in random networks
Elias Najarro and Sebastian Risi · 2020
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Discovering reinforcement learning algorithms
Junhyuk Oh, Matteo Hessel, Wojciech M Czarnecki, Zhongwen Xu, Hado P van Hasselt, Satinder Singh, and David Silver · 2020
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Meta-learning with task-adaptive loss function for few-shot learning
Sungyong Baik, Janghoon Choi, Heewon Kim, Dohee Cho, Jaesik Min, and Kyoung Mu Lee · 2021
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Meta learning via learned loss
Sarah Bechtle, Artem Molchanov, Yevgen Chebotar, Edward Grefenstette, Ludovic Righetti, Gaurav Sukhatme, and Franziska Meier · 2021
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Meta-learning in neural networks: A survey
Timothy M Hospedales, Antreas Antoniou, Paul Micaelli, and Amos J Storkey · 2021
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A survey of deep meta-learning
Mike Huisman, Jan N Van Rijn, and Aske Plaat · 2021
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Going beyond linear transformers with recurrent fast weight programmers
Kazuki Irie, Imanol Schlag, Róbert Csordás, and Jürgen Schmidhuber · 2021
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Rectifying the shortcut learning of background for few-shot learning
Xu Luo, Longhui Wei, Liangjian Wen, Jinrong Yang, Lingxi Xie, Zenglin Xu, and Qi Tian · 2021
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Bidirectional synaptic plasticity rapidly modifies hippocampal representations
Aaron D Milstein, Yiding Li, Katie C Bittner, Christine Grienberger, Ivan Soltesz, Jeffrey C Magee, and Sandro Romani · 2021
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Biological learning in key-value memory networks
Danil Tyulmankov, Ching Fang, Annapurna Vadaparty, and Guangyu Robert Yang · 2021
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Short-term plasticity neurons learning to learn and forget
Hector Garcia Rodriguez, Qinghai Guo, and Timoleon Moraitis · 2022
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Meta-learning synaptic plasticity and memory addressing for continual familiarity detection
Danil Tyulmankov, Guangyu Robert Yang, and LF Abbott · 2022
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