A deep learning framework for neuroscience

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

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

Robust task-based control policies for physics-based characters

Autor: Stelian Coros, Philippe Beaudoin, Michiel van de Panne

Publikováno v: ACM Transactions on Graphics. 28:1-9

We present a method for precomputing robust task-based control policies for physically simulated characters. This allows for characters that can demonstrate skill and purpose in completing a given task, such as walking to a target location, while phy

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::43cba1e9558c859dc38d03f28f1c7d46
https://doi.org/10.1145/1618452.1618516

Generalized biped walking control

Autor: Stelian Coros, Michiel van de Panne, Philippe Beaudoin

Publikováno v: ACM SIGGRAPH 2010 papers on - SIGGRAPH '10.

We present a control strategy for physically-simulated walking motions that generalizes well across gait parameters, motion styles, character proportions, and a variety of skills. The control is realtime, requires no character-specific or motion-spec

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::31637a61614435167a96cb0ca06caa50
https://doi.org/10.1145/1833349.1781156

Particle-based viscoelastic fluid simulation

Autor: Simon Clavet, Philippe Beaudoin, Pierre Poulin

Publikováno v: Symposium on Computer Animation

We present a new particle-based method for viscoelastic fluid simulation. We achieve realistic small-scale behavior of substances such as paint or mud as they splash on moving objects. Incompressibility and particle anti-clustering are enforced with

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c5b7b66b95bbc2cbe19a3a4e5a0e4962
https://doi.org/10.1145/1073368.1073400