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Nature, Volume 577

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Volume 577, Number 7788, January 2020

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  - journals/nature/BurmannGMCKGMAS20
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  - https://dblp.org/rec/journals/nature/BurmannGMCKGMAS20
Björn M. Burmann, Juan A. Gerez, Irena Matecko-Burmann, Silvia Campioni, Pratibha Kumari, Dhiman Ghosh, Adam Mazur, Emelie E. Aspholm, Darius Sulskis, Magdalena Wawrzyniuk, Thomas Bock, Alexander Schmidt, Stefan G. D. Rüdiger, Roland Riek, Sebastian Hiller:
Regulation of α-synuclein by chaperones in mammalian cells. 127-132

Volume 577, Number 7789, January 2020

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  - journals/nature/MarquesLSRL20
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João C. Marques, Meng Li, Diane Schaak, Drew N. Robson, Jennifer M. Li:
Internal state dynamics shape brainwide activity and foraging behaviour. 239-243

Volume 577, Number 7790, January 2020

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Tao Chen, Jeroen van Gelder, Bram van de Ven, Sergey V. Amitonov, Bram De Wilde, Hans-Christian Ruiz Euler, Hajo Broersma, Peter A. Bobbert, Floris A. Zwanenburg, Wilfred G. van der Wiel:
Classification with a disordered dopant-atom network in silicon. 341-345
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Britton A. Sauerbrei, Jian-Zhong Guo, Jeremy D. Cohen, Matteo Mischiati, Wendy Guo, Mayank Kabra, Nakul Verma, Brett Mensh, Kristin Branson, Adam W. Hantman:
Cortical pattern generation during dexterous movement is input-driven. 386-391

Volume 577, Number 7791, January 2020

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  - journals/nature/KollmorgenHM20
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Sepp Kollmorgen, Richard H. R. Hahnloser, Valerio Mante:
Nearest neighbours reveal fast and slow components of motor learning. 526-530

Volume 577, Number 7792, January 2020

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Will Dabney, Zeb Kurth-Nelson, Naoshige Uchida, Clara Kwon Starkweather, Demis Hassabis, Rémi Munos, Matthew M. Botvinick:
A distributional code for value in dopamine-based reinforcement learning. 671-675
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Andrew W. Senior, Richard Evans, John Jumper, James Kirkpatrick, Laurent Sifre, Tim Green, Chongli Qin, Augustin Zídek, Alexander W. R. Nelson, Alex Bridgland, Hugo Penedones, Stig Petersen, Karen Simonyan, Steve Crossan, Pushmeet Kohli, David T. Jones, David Silver, Koray Kavukcuoglu, Demis Hassabis:
Improved protein structure prediction using potentials from deep learning. 706-710

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