The ACAIN 2023 is aimed at AI researchers, neuroscientists, cognitive scientists, computational neuroscientists, deep learning/machine learning researchers. ACAIN 2023 will be a special opportunity to hear about cutting-edge research by leading scientists in AI and Neuroscience.

The two days of keynote talks and oral presentations (the Symposium, September 25-26) will be preceded by lectures of leading scientists (the Course, September 22-24).

We invite the submission of technical papers for the main technical track of the conference. Submissions should be significant and original on all aspects of Artificial Intelligence and Neuroscience. We especially encourage papers on interdisciplinary applications of AI, Neuroscience, Cognitive Science, Deep Learning and Computational Neuroscience.

The International Symposium Post-Proceedings will be published by Nature–Springer. Papers will appear in a volume of the Lecture Notes in Computer Science.

https://acain2023.icas.cc/symposium-call-for-papers/


LECTURERS:
https://acain2023.icas.cc/course-lecturers/

Aldo Faisal, Imperial College London
Lecture 1: TBA
Lecture 2: TBA

Karl Friston, University College London  
Lecture 1: "Deep inference"
Lecture 2: "Active inference and artificial curiosity"
                         
Kenneth Harris, University College London                              
Lecture 1: TBA
Lecture 2: TBA
Lecture 3: TBA

Rosalyn Moran, King's College London
Lecture 1: TBA
Lecture 2: TBA

Edmund Rolls, University of Oxford   
Lecture 1: "Biologically plausible computational neuroscience: memory and navigation"
Lecture 2: "Biologically plausible computational neuroscience: emotion and depression"

Michael Wooldridge, University of Oxford
Lecture 1: TBA
Lecture 2: TBA


Early Registration (Course): by June 10
https://acain2023.icas.cc/registration/

PAPER SUBMISSION DEADLINE (Symposium): by June 10
https://acain2023.icas.cc/symposium-call-for-papers/
https://easychair.org/conferences/?conf=acain2023