神经科学启发人工智能

综述

Hassabis, Demis, et al. “Neuroscience-Inspired Artificial Intelligence.” Neuron, vol. 95, no. 2, 2017, pp. 245–258.
Marblestone, Adam H., et al. “Toward an Integration of Deep Learning and Neuroscience.” Frontiers in Computational Neuroscience, vol. 10, 2016, pp. 94–94.

Richards, Blake A., et al. “A Deep Learning Framework for Neuroscience.” Nature Neuroscience, vol. 22, no. 11, 2019, pp. 1761–1770.
Marblestone, Adam H., et al. “Toward an Integration of Deep Learning and Neuroscience.” Frontiers in Computational Neuroscience, vol. 10, 2016, pp. 94–94.
Yamins, Daniel L. K., and James J. DiCarlo. “Using Goal-Driven Deep Learning Models to Understand Sensory Cortex.” Nature Neuroscience, vol. 19, no. 3, 2016, pp. 356–365.

DeepMind → Research → Neuroscience
Dabney, Will, et al. “A Distributional Code for Value in Dopamine-Based Reinforcement Learning.” Nature, vol. 577, no. 7792, 2020, pp. 671–675.
【CNN & V4】Bashivan, Pouya, et al. “Neural Population Control via Deep Image Synthesis.” Science, vol. 364, no. 6439, 2019.
【LSTM & 网格细胞】Banino, Andrea, et al. “Vector-Based Navigation Using Grid-like Representations in Artificial Agents.” Nature, vol. 557, no. 7705, 2018, pp. 429–433.
【前额叶 & 元强化学习】Wang, Jane X., et al. “Prefrontal Cortex as a Meta-Reinforcement Learning System.” Nature Neuroscience, vol. 21, no. 6, 2018, pp. 860–868.