Artificial Intelligence and Brain Science

Recent advances in “deep learning” realized artificial intelligence (AI) that surpasses humans in certain tasks like visual object recognition and game playing. Today’s AI, however, still lacks the versatility and flexibility of human intelligence, which motivates AI researchers to learn brain’s working principles. Neuroscientists also need helps of AI in making sense of massive data from sequencing, imaging, and so forth. This special issue aims to capture recent advances in the crossing forefront of AI and neuroscience and to point to the next targets in creating brain-like intelligence and further advancing neuroscience.

This special issue features perspective articles based on the discussions at the International Conference on Artificial Intelligence and Brain Science, held online in October 2020 with leading speakers from both fields and more than a thousand registrants from around the globe (http://www.brain-ai.jp/symposium2020/). We call for submissions of papers aiming at fruitful fusion of AI and brain science.

Topics

Topics of interest include, but are not limited to:

• Brain-inspired Artificial Intelligence
• Deep Learning
• Reinforcement Learning
• World Model Learning and Inference
• Metacognition and Metalearning
• AI for Neuroscience
• Neuromorphic Technologies
• Social Impact and Ethics of Neuro-AI Technologies

Submission Procedure:

Prospective authors should follow standard author instructions for Neural Networks and submit their manuscripts online at https://www.editorialmanager.com/NEUNET/default.aspx

During the submission process, there will be steps to designate the submission to this special issue.

• Manuscript submission due: January 10, 2021
• First review completed: March 31, 2021
• Revised manuscript due: May 31, 2021
• Final decisions to authors: June 30, 2021

Guest Editors:

Kenji Doya, Okinawa Institute of Science and Technology ([email protected])

Karl Friston, University College London

Masashi Sugiyama, RIKEN AIP and The University of Tokyo IRCN

Josh Tenenbaum, Massachusetts Institute of Technology