Gatsby-Kakenhi Joint Workshop on AI and Neuroscience

  • 11-12 (Thu-Fri), May 2017
  • Gatsby Computational Neuroscience Unit, UCL
    25 Howland Street, London, W1T 4JG
    England, Great Britain > GoogleMap

About this Workshop

 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. The aim of this workshop is to bring together researchers advancing the forefront of AI and neuroscience in UK and Japan and to identify next targets in creating brain-like intelligence and further advancing neuroscience through interdisciplinary, international collaborations.


You can get the fully functional program here:



Thursday, 11th May

Morning: 09:30 to 13:00
Session 1: Current status of AI and what’s next

Masashi Sugiyama (RIKEN AIP/U Tokyo) “Classification from Weak Supervision”  [slide] 
Shakir Mohammed (Deepmind)              “Plausible Reasoning in Artificial Agents”  [slide] 
Daisuke Okanohara (Preferred Networks)”AI in real world: Automobile, Robot, Bio/Healthcare, and Art creation”  [slide] 
Arthur Gretton (Gatsby Unit)                 “Learning Features to Compare Distributions”  [slide] 
Jun Morimoto (ATR)                              “Motor Learning Methods for Humanoid Control”  [slide] 

Afternoon: 14:20 to 18:30
Session 2: Advancing neuroscience by AI

Peter Dayan (Gatsby Unit)                    “Decision-Theoretic Psychiatry as Artificial Unintelligence?”  [slide] 
Hidehiko Takahashi(Kyoto University Graduate School of Medicine)”The Interface between AI and Psychiatry (Schizophrenia) Research”  [slide] 
Maneesh Sahani (Gatsby Unit)             “Inference in Perception”  [slide] 
Shinji Nishimoto (CiNet)                      “Linking Neuroscience and Machine Learning via Latent Features of Natural Stimuli”  [slide] 
Aapo Hyvarinen (Gatsby Unit) “Nonlinear ICA using Temporal Structure: A Principled Framework for Unsupervised Deep Learning”  [slide] 

Friday, 12th May

Morning: 09:30 to 13:00
Session 3: What should/can we further learn from the brain

Kenji Doya (OIST)                             “Multiple Representations and Algorithms for Learning and Behaviors”  [slide] 
Matthew Botvinick (Deep Mind)          “What How Should/Can we Further Learn from the Brain?”  [slide] 
Masamichi Sakagami (Tamagawa U) “Categorical Coding of Stimulus and Inference of the Value in the Monkey Lateral Prefrontal Cortex”[slide] 
Zhaoping Li (Gatsby Unit)                  “Feedforward and Feedback Processes for Visual Detection and Recognition in Humans”  [slide] 
Hiroyuki Nakahara (RIKEN BSI)          “Learning to Make Reward-Guided Decisions: Sequential, Successive, and Social”  [slide] 

Afternoon: 14:20 to 18:00
Session 4: Toward general, human-like intelligence

Shane Legg (DeepMind)                   “Towards General Human-Like Intelligence?”  [slide] 
Tadahiro Taniguchi (Ritsumeikan U)   “Symbol Emergence in Robotics: Language Acquisition via Real-World Sensorimotor Information”[slide] 
Karl Friston (UCL)                            “Active Inference and Artificial Curiosity”  [slide] 
Hiroshi Yamakawa (Whole Brain Architecture Initiative)”Brain-Inspired AI as a Way to Desired General Intelligence”  [slide] 


Gatsby Computational Neuroscience Unit, UCL
KAKENHI Project on Artificial Intelligence and Brain Science
RIKEN Center for Advanced Intelligence Project
Whole Brain Architecture Initiative
MEXT Supercomputing Project on Brain and Artificial Intelligence


This is a closed workshop by invited participants, but we made abstracts, slides, and reports available on this site.

Please click 【✉CONTACT】located at the top right side of the screen, for more information.

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“Gatsby-Kakenhi Joint Workshop on AI and Neuroscience” was held.