Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Greg Wayne"'
Publikováno v:
Nature Communications, Vol 10, Iss 1, Pp 1-12 (2019)
Recent research in motor neuroscience has focused on optimal feedback control of single, simple tasks while robotics and AI are making progress towards flexible movement control in complex environments employing hierarchical control strategies. Here,
Externí odkaz:
https://doaj.org/article/4d333d059336493bbf54a9111276daeb
Autor:
Chia-Chun Hung, Timothy Lillicrap, Josh Abramson, Yan Wu, Mehdi Mirza, Federico Carnevale, Arun Ahuja, Greg Wayne
Publikováno v:
Nature Communications, Vol 10, Iss 1, Pp 1-12 (2019)
People are able to mentally time travel to distant memories and reflect on the consequences of those past events. Here, the authors show how a mechanism that connects learning from delayed rewards with memory retrieval can enable AI agents to discove
Externí odkaz:
https://doaj.org/article/2e805e7216b343f9a8b03a4f5ce02aad
Publikováno v:
Frontiers in Computational Neuroscience, Vol 10 (2016)
Neuroscience has focused on the detailed implementation of computation, studying neural codes, dynamics and circuits. In machine learning, however, artificial neural networks tend to eschew precisely designed codes, dynamics or circuits in favor of b
Externí odkaz:
https://doaj.org/article/de0a321136cd4e789742bd16541dc2dd
Publikováno v:
South African Journal of Psychiatry, Vol 15, Iss 2 (2009)
Objective. To determine compliance with Section 40 (1-3) of the Mental Health Care Act (MHCA) No 17 of 2002, viz. handing over custody by the South African Police Service (SAPS) of suspected mentally ill patients to medical services at Chris Hani Bar
Externí odkaz:
https://doaj.org/article/33a0e6fe27a34ba3b19f3daf421437aa
Autor:
Zeb Kurth-Nelson, Timothy Behrens, Greg Wayne, Kevin Miller, Lennart Luettgau, Ray Dolan, Yunzhe Liu, Philipp Schwartenbeck
Publikováno v:
Neuron
Replay in the brain has been viewed as rehearsal or, more recently, as sampling from a transition model. Here, we propose a new hypothesis: that replay is able to implement a form of compositional computation where entities are assembled into relatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3063d411fcca5437144c633a195c894b
Autor:
Josh Abramson, Timothy P. Lillicrap, Chia-Chun Hung, Federico Carnevale, Yan Wu, Greg Wayne, Mehdi Mirza, Arun Ahuja
Publikováno v:
Nature Communications, Vol 10, Iss 1, Pp 1-12 (2019)
Nature Communications
Nature Communications
Humans prolifically engage in mental time travel. We dwell on past actions and experience satisfaction or regret. More than storytelling, these recollections change how we act in the future and endow us with a computationally important ability to lin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::37bb9b006fec299a0d0ec10f64f0a620
https://doaj.org/article/2e805e7216b343f9a8b03a4f5ce02aad
https://doaj.org/article/2e805e7216b343f9a8b03a4f5ce02aad
Autor:
Demis Hassabis, Raia Hadsell, Stephen Gaffney, Ross Goroshin, Timothy P. Lillicrap, Charles Beattie, Helen King, Caswell Barry, Piotr Mirowski, Neil C. Rabinowitz, Charles Blundell, Benigno Uria, Andrea Banino, Koray Kavukcuoglu, Joseph Modayil, Alexander Pritzel, Amir Sadik, Thomas Degris, Greg Wayne, Dharshan Kumaran, Stig Petersen, Brian Hu Zhang, Fabio Viola, Martin J. Chadwick, Razvan Pascanu, Hubert Soyer
Publikováno v:
Nature. 557:429-433
Deep neural networks have achieved impressive successes in fields ranging from object recognition to complex games such as Go1,2. Navigation, however, remains a substantial challenge for artificial agents, with deep neural networks trained by reinfor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::19b8abdc695cb8351ef270f29574661c
https://doi.org/10.1038/s41586-018-0102-6
https://doi.org/10.1038/s41586-018-0102-6
Autor:
Panayiota Poirazi, Greg Wayne, Christopher C. Pack, Surya Ganguli, Joel Zylberberg, Pieter R. Roelfsema, Grace W. Lindsay, Blake A. Richards, Walter Senn, Colleen J Gillon, Denis Therien, Philippe Beaudoin, Anna C. Schapiro, Kenneth D. Miller, Archy O. de Berker, Yoshua Bengio, Claudia Clopath, Peter E. Latham, Amelia J. Christensen, João Sacramento, Nikolaus Kriegeskorte, Timothy P. Lillicrap, Rui Ponte Costa, Danijar Hafner, Daniel L. K. Yamins, Benjamin Scellier, Rafal Bogacz, Adam Kepecs, Richard Naud, Friedemann Zenke, Konrad P. Kording, Andrew M. Saxe
Publikováno v:
Richards, B A, Lillicrap, T P, Beaudoin, P, Bengio, Y, Bogacz, R, Christensen, A, Clopath, C, Costa, R P, de Berker, A, Ganguli, S, Gillon, C J, Hafner, D, Kepecs, A, Kriegeskorte, N, Latham, P, Lindsay, G W, Miller, K D, Naud, R, Pack, C C, Poirazi, P, Roelfsema, P, Sacramento, J, Saxe, A, Scellier, B, Schapiro, A C, Senn, W, Wayne, G, Yamins, D, Zenke, F, Zylberberg, J, Therien, D & Kording, K P 2019, ' A deep learning framework for neuroscience ', Nature Neuroscience, vol. 22, no. 11, pp. 1761-1770 . https://doi.org/10.1038/s41593-019-0520-2
Nature Neuroscience, 22(11), 1761-1770. Nature Publishing Group
Nat Neurosci
Nature Neuroscience, 22(11), 1761-1770. Nature Publishing Group
Nat Neurosci
Systems neuroscience seeks explanations for how the brain implements a wide variety of perceptual, cognitive and motor tasks. Conversely, artificial intelligence attempts to design computational systems based on the tasks they will have to solve. In
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3b42f784020df4a8b09aed7fa2d889d1
https://research-information.bris.ac.uk/ws/files/218472922/A_deep_learning_framework_for_neuroscience_vFinal_RC.pdf
https://research-information.bris.ac.uk/ws/files/218472922/A_deep_learning_framework_for_neuroscience_vFinal_RC.pdf
Autor:
Yuval Tassa, Vu Pham, Arun Ahuja, Leonard Hasenclever, Saran Tunyasuvunakool, Nicolas Heess, Josh Merel, Tom Erez, Greg Wayne
We address the longstanding challenge of producing flexible, realistic humanoid character controllers that can perform diverse whole-body tasks involving object interactions. This challenge is central to a variety of fields, from graphics and animati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7dcf1b4b4a50661167c302565e0c4d47
Publikováno v:
Behavioral and Brain Sciences. 40
Lake et al. suggest that current AI systems lack the inductive biases that enable human learning. However, Lake et al.'s proposed biases may not directly map onto mechanisms in the developing brain. A convergence of fields may soon create a correspon
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0f4663fdc4aefaec81a5d4f8a37a2082
https://doi.org/10.1017/s0140525x17000218
https://doi.org/10.1017/s0140525x17000218