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ArticlesPeer ReviewedFull Text
Hybrid computing using a neural network with dynamic external memory
Author / Creator:Graves, Alex ; Wayne, Greg ; Reynolds, Malcolm ; Harley, Tim ; Danihelka, Ivo ; Grabska-Barwińska, Agnieszka ; Colmenarejo, Sergio Gómez ; Grefenstette, Edward ; Ramalho, Tiago ; Agapiou, John ; Badia, Adrià Puigdomènech ; Hermann, Karl Moritz ; Zwols, Yori ; Ostrovski, Georg ; Cain, Adam ; King, Helen ; Summerfield, Christopher ; Blunsom, Phil ; Kavukcuoglu, Koray ; Hassabis, Demis
Publisher:London: Nature Publishing Group UK
Journal title:Nature (London), 2016-10, Vol.538 (7626), p.471-476
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Three types of incremental learning
Author / Creator:van de Ven, Gido M. ; Tuytelaars, Tinne ; Tolias, Andreas S.
Publisher:London: Nature Publishing Group UK
Journal title:Nature machine intelligence, 2022-12, Vol.4 (12), p.1185-1197
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Backpropagation and the brain
Author / Creator:Lillicrap, Timothy P. ; Santoro, Adam ; Marris, Luke ; Akerman, Colin J. ; Hinton, Geoffrey
Publisher:London: Nature Publishing Group UK
Journal title:Nature reviews. Neuroscience, 2020-06, Vol.21 (6), p.335-346
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A deep learning framework for neuroscience
Author / Creator:Richards, Blake A. ; Lillicrap, Timothy P. ; Beaudoin, Philippe ; Bengio, Yoshua ; Bogacz, Rafal ; Christensen, Amelia ; Clopath, Claudia ; Costa, Rui Ponte ; de Berker, Archy ; Ganguli, Surya ; Gillon, Colleen J. ; Hafner, Danijar ; Kepecs, Adam ; Kriegeskorte, Nikolaus ; Latham, Peter ; Lindsay, Grace W. ; Miller, Kenneth D. ; Naud, Richard ; Pack, Christopher C. ; Poirazi, Panayiota ; Roelfsema, Pieter ; Sacramento, João ; Saxe, Andrew ; Scellier, Benjamin ; Schapiro, Anna C. ; Senn, Walter ; Wayne, Greg ; Yamins, Daniel ; Zenke, Friedemann ; Zylberberg, Joel ; Therien, Denis ; Kording, Konrad P.
Publisher:New York: Nature Publishing Group US
Journal title:Nature neuroscience, 2019-11, Vol.22 (11), p.1761-1770
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If deep learning is the answer, what is the question?
Author / Creator:Saxe, Andrew ; Nelli, Stephanie ; Summerfield, Christopher
Publisher:London: Nature Publishing Group UK
Journal title:Nature reviews. Neuroscience, 2021-01, Vol.22 (1), p.55-67
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A solution to the learning dilemma for recurrent networks of spiking neurons
Author / Creator:Bellec, Guillaume ; Scherr, Franz ; Subramoney, Anand ; Hajek, Elias ; Salaj, Darjan ; Legenstein, Robert ; Maass, Wolfgang
Publisher:London: Nature Publishing Group UK
Journal title:Nature communications, 2020-07, Vol.11 (1), p.3625-3625, Article 3625
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Prefrontal cortex as a meta-reinforcement learning system
Author / Creator:Wang, Jane X. ; Kurth-Nelson, Zeb ; Kumaran, Dharshan ; Tirumala, Dhruva ; Soyer, Hubert ; Leibo, Joel Z. ; Hassabis, Demis ; Botvinick, Matthew
Publisher:New York: Nature Publishing Group US
Journal title:Nature neuroscience, 2018-06, Vol.21 (6), p.860-868
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Towards artificial general intelligence via a multimodal foundation model
Author / Creator:Fei, Nanyi ; Lu, Zhiwu ; Gao, Yizhao ; Yang, Guoxing ; Huo, Yuqi ; Wen, Jingyuan ; Lu, Haoyu ; Song, Ruihua ; Gao, Xin ; Xiang, Tao ; Sun, Hao ; Wen, Ji-Rong
Publisher:London: Nature Publishing Group UK
Journal title:Nature communications, 2022-06, Vol.13 (1), p.3094-13, Article 3094
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Random synaptic feedback weights support error backpropagation for deep learning
Author / Creator:Lillicrap, Timothy P. ; Cownden, Daniel ; Tweed, Douglas B. ; Akerman, Colin J.
Publisher:London: Nature Publishing Group UK
Journal title:Nature communications, 2016-11, Vol.7 (1), p.13276-10, Article 13276
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Dopamine reward prediction-error signalling: a two-component response
Author / Creator:Schultz, Wolfram
Publisher:London: Nature Publishing Group UK
Journal title:Nature reviews. Neuroscience, 2016-03, Vol.17 (3), p.183-195
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ArticlesPeer ReviewedFull Text
Burst-dependent synaptic plasticity can coordinate learning in hierarchical circuits
Author / Creator:Payeur, Alexandre ; Guerguiev, Jordan ; Zenke, Friedemann ; Richards, Blake A. ; Naud, Richard
Publisher:New York: Nature Publishing Group US
Journal title:Nature neuroscience, 2021-07, Vol.24 (7), p.1010-1019
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ArticlesPeer ReviewedFull Text
Neural heterogeneity promotes robust learning
Author / Creator:Perez-Nieves, Nicolas ; Leung, Vincent C. H. ; Dragotti, Pier Luigi ; Goodman, Dan F. M.
Publisher:London: Nature Publishing Group UK
Journal title:Nature communications, 2021-10, Vol.12 (1), p.5791-5791, Article 5791
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ArticlesPeer ReviewedFull Text
Dimensionality reduction for large-scale neural recordings
Author / Creator:Cunningham, John P ; Yu, Byron M
Publisher:New York: Nature Publishing Group US
Journal title:Nature neuroscience, 2014-11, Vol.17 (11), p.1500-1509
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ArticlesPeer ReviewedFull Text
Vector-based navigation using grid-like representations in artificial agents
Author / Creator:Banino, Andrea ; Barry, Caswell ; Uria, Benigno ; Blundell, Charles ; Lillicrap, Timothy ; Mirowski, Piotr ; Pritzel, Alexander ; Chadwick, Martin J. ; Degris, Thomas ; Modayil, Joseph ; Wayne, Greg ; Soyer, Hubert ; Viola, Fabio ; Zhang, Brian ; Goroshin, Ross ; Rabinowitz, Neil ; Pascanu, Razvan ; Beattie, Charlie ; Petersen, Stig ; Sadik, Amir ; Gaffney, Stephen ; King, Helen ; Kavukcuoglu, Koray ; Hassabis, Demis ; Hadsell, Raia ; Kumaran, Dharshan
Publisher:London: Nature Publishing Group UK
Journal title:Nature (London), 2018-05, Vol.557 (7705), p.429-433
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Computational psychiatry as a bridge from neuroscience to clinical applications
Author / Creator:Huys, Quentin J M ; Maia, Tiago V ; Frank, Michael J
Publisher:New York: Nature Publishing Group US
Journal title:Nature neuroscience, 2016-03, Vol.19 (3), p.404-413
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A distributional code for value in dopamine-based reinforcement learning
Author / Creator:Dabney, Will ; Kurth-Nelson, Zeb ; Uchida, Naoshige ; Starkweather, Clara Kwon ; Hassabis, Demis ; Munos, Rémi ; Botvinick, Matthew
Publisher:London: Nature Publishing Group UK
Journal title:Nature (London), 2020-01, Vol.577 (7792), p.671-675
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Using connectome-based predictive modeling to predict individual behavior from brain connectivity
Author / Creator:Shen, Xilin ; Finn, Emily S ; Scheinost, Dustin ; Rosenberg, Monica D ; Chun, Marvin M ; Papademetris, Xenophon ; Constable, R Todd
Publisher:London: Nature Publishing Group UK
Journal title:Nature protocols, 2017-03, Vol.12 (3), p.506-518
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Separability and geometry of object manifolds in deep neural networks
Author / Creator:Cohen, Uri ; Chung, SueYeon ; Lee, Daniel D. ; Sompolinsky, Haim
Publisher:London: Nature Publishing Group UK
Journal title:Nature communications, 2020-02, Vol.11 (1), p.746-746, Article 746
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Biological underpinnings for lifelong learning machines
Author / Creator:Kudithipudi, Dhireesha ; Aguilar-Simon, Mario ; Babb, Jonathan ; Bazhenov, Maxim ; Blackiston, Douglas ; Bongard, Josh ; Brna, Andrew P. ; Chakravarthi Raja, Suraj ; Cheney, Nick ; Clune, Jeff ; Daram, Anurag ; Fusi, Stefano ; Helfer, Peter ; Kay, Leslie ; Ketz, Nicholas ; Kira, Zsolt ; Kolouri, Soheil ; Krichmar, Jeffrey L. ; Kriegman, Sam ; Levin, Michael ; Madireddy, Sandeep ; Manicka, Santosh ; Marjaninejad, Ali ; McNaughton, Bruce ; Miikkulainen, Risto ; Navratilova, Zaneta ; Pandit, Tej ; Parker, Alice ; Pilly, Praveen K. ; Risi, Sebastian ; Sejnowski, Terrence J. ; Soltoggio, Andrea ; Soures, Nicholas ; Tolias, Andreas S. ; Urbina-Meléndez, Darío ; Valero-Cuevas, Francisco J. ; van de Ven, Gido M. ; Vogelstein, Joshua T. ; Wang, Felix ; Weiss, Ron ; Yanguas-Gil, Angel ; Zou, Xinyun ; Siegelmann, Hava
Publisher:London: Nature Publishing Group UK
Journal title:Nature machine intelligence, 2022-03, Vol.4 (3), p.196-210
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ArticlesPeer ReviewedFull Text
Multivariate BWAS can be replicable with moderate sample sizes
Author / Creator:Spisak, Tamas ; Bingel, Ulrike ; Wager, Tor D.
Publisher:London: Nature Publishing Group UK
Journal title:Nature (London), 2023-03, Vol.615 (7951), p.E4-E7
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Hybrid computing using a neural network with dynamic external memory

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Three types of incremental learning

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Backpropagation and the brain

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A deep learning framework for neuroscience

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If deep learning is the answer, what is the question?

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A solution to the learning dilemma for recurrent networks of spiking neurons

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Prefrontal cortex as a meta-reinforcement learning system

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Towards artificial general intelligence via a multimodal foundation model

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Random synaptic feedback weights support error backpropagation for deep learning

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Dopamine reward prediction-error signalling: a two-component response

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Burst-dependent synaptic plasticity can coordinate learning in hierarchical circuits

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Neural heterogeneity promotes robust learning

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Dimensionality reduction for large-scale neural recordings

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Vector-based navigation using grid-like representations in artificial agents

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Computational psychiatry as a bridge from neuroscience to clinical applications

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A distributional code for value in dopamine-based reinforcement learning

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Using connectome-based predictive modeling to predict individual behavior from brain connectivity

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Separability and geometry of object manifolds in deep neural networks

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Biological underpinnings for lifelong learning machines

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Multivariate BWAS can be replicable with moderate sample sizes

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