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引用“”的文章Neuroscience-Inspired Artificial Intelligence

标题/作者	年份
High-performance medicine: the convergence of human and artificial intelligence EJ Topol Nature medicine 25 (1), 44-56	2019
Introduction to theories of learning MH Olson Routledge	2015
Continual lifelong learning with neural networks: A review GI Parisi, R Kemker, JL Part, C Kanan, S Wermter Neural Networks 113, 54-71	2019
Opportunities and obstacles for deep learning in biology and medicine T Ching, DS Himmelstein, BK Beaulieu-Jones, AA Kalinin, BT Do, ... Journal of The Royal Society Interface 15 (141), 20170387	2018
An overview of deep learning in medical imaging focusing on MRI AS Lundervold, A Lundervold Zeitschrift für Medizinische Physik 29 (2), 102-127	2019
Deep reinforcement learning: An overview Y Li arXiv preprint arXiv:1701.07274	2017
An introduction to deep reinforcement learning V François-Lavet, P Henderson, R Islam, MG Bellemare, J Pineau Foundations and Trends® in Machine Learning 11 (3-4), 219-354	2018
Human-level performance in 3D multiplayer games with population-based reinforcement learning M Jaderberg, WM Czarnecki, I Dunning, L Marris, G Lever, AG Castaneda, ... Science 364 (6443), 859-865	2019
Deep learning in spiking neural networks A Tavanaei, M Ghodrati, SR Kheradpisheh, T Masquelier, A Maida Neural networks 111, 47-63	2019
Towards artificial general intelligence with hybrid Tianjic chip architecture J Pei, L Deng, S Song, M Zhao, Y Zhang, S Wu, G Wang, Z Zou, Z Wu, ... Nature 572 (7767), 106-111	2019
A critique of pure learning and what artificial neural networks can learn from animal brains AM Zador Nature communications 10 (1), 1-7	2019
Resource-rational analysis: Understanding human cognition as the optimal use of limited computational resources F Lieder, TL Griffiths Behavioral and brain sciences 43	2020
Adversarial examples that fool both computer vision and time-limited humans G Elsayed, S Shankar, B Cheung, N Papernot, A Kurakin, I Goodfellow, ... Advances in neural information processing systems 31	2018
Cognitive computational neuroscience N Kriegeskorte, PK Douglas Nature neuroscience 21 (9), 1148-1160	2018
Bridging biological and artificial neural networks with emerging neuromorphic devices: fundamentals, progress, and challenges J Tang, F Yuan, X Shen, Z Wang, M Rao, Y He, Y Sun, X Li, W Zhang, Y Li, ... Advanced Materials 31 (49), 1902761	2019
Neural circuit mechanisms of social behavior P Chen, W Hong Neuron 98 (1), 16-30	2018
Attention models in graphs: A survey JB Lee, RA Rossi, S Kim, NK Ahmed, E Koh ACM Transactions on Knowledge Discovery from Data (TKDD) 13 (6), 1-25	2019
Deep neural networks as scientific models RM Cichy, D Kaiser Trends in cognitive sciences 23 (4), 305-317	2019
Deep learning in neuroradiology G Zaharchuk, E Gong, M Wintermark, D Rubin, CP Langlotz American Journal of Neuroradiology 39 (10), 1776-1784	2018
Deep reinforcement learning C Lei Deep Learning and Practice with MindSpore, 217-243	2021

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