EasyChair Smart CFPDocs/Log in
CFP
ACAIN2023: 3rd Advanced Course & Symposium on Artificial Intelligence & Neuroscience
The Wordsworth Hotel & Spa - Grasmere (Lake District England)
Grasmere, UK, September 22-26, 2023
Conference websitehttps://acain2023.icas.cc
Submission linkhttps://easychair.org/conferences/?conf=acain2023
Abstract registration deadlineJune 10, 2023
Submission deadlineJune 10, 2023
Topics: artificial intelligence neuroscience cognitive science neuroinformatics

 

Submission Guidelines

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.

ACAIN Symposium - Submission

Paper submission deadline: June 10, 2023 (AoE)

Submission site: EasyChair

Types of Submissions

When submitting a paper to ACAIN 2023, authors are required to select one of the following three types of papers:

  • long paper: original novel and unpublished work (min 12 pages, max. 15 pages, including References, in Springer LNCS format or any format or layout that can be used by reviewers to evaluate your manuscript);
  • short paper: an extended abstract of novel work (min 6 pages, max. 11 pages, including References, in Springer LNCS format or any format or layout that can be used by reviewers to evaluate your manuscript);
  • work for oral presentation only (no page restriction; any format). For example, work already published elsewhere, which is relevant and which may solicit fruitful discussion at the conference.

Springer’s proceedings LaTeX templates are available in Overleaf.

We expect high-quality papers in terms of their scientific contribution, rigor, correctness, quality of presentation and reproducibility of experiments.

Accepted papers must contain significant novel results. Results can be either theoretical or empirical. Results will be judged on the degree to which they have been objectively established and/or their potential for scientific and technological impact.

Authors should consult Springer’s Instructions for Authors of Proceedings and use either the LaTeX or the Word templates provided on the authors’ page for the preparation of their papers. Springer encourages authors to include their ORCIDs in their papers. In addition, the corresponding author of each paper, acting on behalf of all of the authors of that paper, must complete and sign a License-to-Publish form. The corresponding author signing the copyright form should match the corresponding author marked on the paper. Once the files have been sent to Springer, changes relating to the authorship of the papers cannot be made.

If any of the authors contributing to ACAIN 2023 are interested in Open Access or Open Choice, please refer to our webpage for prices and additional information. Springer teams would need the invoicing address and the CC-BY licence-to-publish agreement at the same time as the files for the publication

The authors may choose to submit your manuscript in any format or layout that can be used by reviewers to evaluate your manuscript. The manuscript should/must contain high enough quality figures for reviewing.

Reviewing for ACAIN 2023 is double blind (reviewers do not know the author’s identity or vice versa). Submitted papers must adopt the following to two rules:

  • author names and institutions must be omitted, and
  • references to authors’ own related research work must be in the third person.

All accepted long/short papers  will be published in a volume of the series on  Lecture Notes in Computer Science from Nature-Springer after the  symposium.

As for the previous two editions, the post-proceedings of ACAIN 2023 symposium will be published together with the post-proceedings of the 9th edition of the LOD 2023 Conference.

At least one author of each accepted long/short paper is required to attend the symposium to present the research work.

Instructions for preparing and submitting the final versions (camera-ready papers) of all accepted papers will be available later on.

List of Topics

  • Artificial Intelligence
  • Asilomar AI Principles
  • Neuroscience
  • Neuroscience-inspired AI
  • Brain-Behavior Interactions
  • Cognition & Artificial Intelligence
  • Cognitive Computing
  • Cognitive Neuroscience
  • Cognitive Robotics
  • Cognitive Science
  • Computational Cognitive Science
  • Computational Modeling  of the Nervous System
  • Computational Neuroscience
  • Creativity & Artificial Intelligence
  • Deep Learning
  • Epistemic Planning
  • Ethics for Autonomous Systems
  • Explainable Artificial Intelligence
  • General Reinforcement Learning Algorithms
  • Generative Adversarial Networks
  • Human-Level AI
  • Human-Robot Interaction
  • Machine Learning
  • Neural data Analysis Methods
  • Neuroinformatics
  • Neurotechnology
  • Probabilistic Generative Models
  • Probabilistic Programming
  • Reinforcement Learning
  • Robotics
  • Symbolic AI & Deep Learning
  • Systems Neuroscience
  • Theory of Deep Learning

Committees

Program Committee

The following is the initial list of  PC members (some members still need to confirm):

  • Andy Adamatzky, University of the West of England, UK
  • Frederic Alexandre, INRIA, France
  • Farhan Baluch, Apple Inc., USA
  • Eleanor Batty, Columbia University, USA
  • Olga Bazanova, State Research Institute of Physiology & Basics Medicine, Russia
  • Daniel Berrar, Tokyo Institute of Technology, Japan
  • Lucia Billeci, CNR, Italy
  • Daniel Alexander Braun, Ulm University, Germany
  • Numan Celik, University of Liverpool, UK
  • Vinod Kumar Chauhan, University of Oxford, UK
  • Carson Chow, National Institutes of Health - NIH, USA
  • Philippe Codognet, CNRS / Sorbonne University / University of Tokyo, Japan
  • Rui Ponte Costa, University of Bristol, UK
  • Wang-Zhou Dai, Imperial College London, UK
  • Nishchal Dethe, Columbia University, USA
  • Giuseppe Di Fatta, University of Bolzano, Italy
  • Giorgio Maria Di Nunzio, University of Padua, Italy
  • A. Aldo Faisal, Imperial College London, UK
  • Yu Feng, Duke University, USA
  • Nikolaus Frohner, Institute of Logic and Computation, TU Wien, Austria
  • Tapan Gandhi, IIT, India
  • Martin Giese, University of Tuebingen, Germany
  • Dalin Guo, University of California San Diego, USA
  • Jianye Hao, MIT, USA
  • Michael Hawrylycz, Allen Institute for Brain Science, Seattle, USA
  • Mark Hoogendoorn, Vrije Universiteit Amsterdam, The Netherlands
  • Phil Husbands, University of Sussex, UK
  • Ramakrishnan Iyer, Allen Institute for Brain Science, Seattle, USA
  • Christopher M. Kim, National Institutes of Health, USA
  • Agnes Korcsak-Gorzo, Forschungszentrum Jülich, Germany
  • Giri Krishnan, University of California San Diego, USA
  • Jung Hoon Lee, Allen Institute for Brain Science, Seattle, USA
  • Sang Wan Lee, KAIST, South Korea
  • Tai Sing Lee, Carnegie Mellon University, USA
  • Grace Lindsay, UCL, UK
  • Yang Lou, City University of Hong Kong, Hong Kong
  • Thomas Lukasiewicz, University of Oxford, UK
  • Ori Maoz, Weizmann Institute of Science, Israel
  • Georg Martius, Max Planck Institute for Intelligent Systems, Tübingen, Germany
  • Josh Merel, DeepMind, UK
  • Florent Meyniel, INSERM-CEA, France
  • Juri Minxha, Columbia University, USA
  • Catalin Mitelut, Columbia University, USA
  • Samia Mohinta, University College London, UK
  • Yashar Moshfeghi, University of Strathclyde, UK
  • Amin Nejatbakhsh, Columbia University, USA
  • Giuseppe Nicosia, University of Catania, Italy
  • Varun Ojha, Newcastle University, UK
  • Michael Oliver, Allen Institute for Brain Science, Seattle, USA
  • Sharon Ong, Tilburg University, The Netherlands
  • Ari Pakman, Columbia University, USA
  • Panos Pardalos, University of Florida, USA
  • Dabal Pedamonti, University of Bristol, UK
  • Joseph Pemberton, University of Bristol, UK
  • Eugenio Piasini, University of Pennsylvania, USA
  • Xaq Pitkow, Rice University, USA
  • Ueli Rutishauser, Cedars-Sinai Medical Center & CALTECH, USA
  • Valentin Slepukhin, University of California Los Angeles, USA
  • Minryung Song, Korea Advanced Institute of Science and Technology - KAIST, Republic of Korea
  • Giacomo Spigler, Tilburg University, The Netherlands
  • Merav Stern, University of Washington Seattle, WA, USA
  • Johan Suykens, Katholieke Universiteit Leuven, Belgium
  • Kai Ueltzhöffer, University of Heidelberg, Germany
  • Jonathan Vacher, Université Paris Dauphine, France
  • Sacha van Albada, Research Center Juelich, Germany
  • Frank van der Velde, Leiden University, The Netherlands
  • Werner Van Geit, EPFL, Switzerland
  • Marcel van Gerven, Radboud University, The Netherlands
  • Toby Walsh, The University of New South Wales, Australia
  • Sang Wan Lee, Korea Advanced Institute of Science & Technology, South Korea
  • Weixun Wang, Tianjin University, China
  • Yueqi Wang, Columbia University, USA
  • Shenghao Wu, Carnegie Mellon University, USA
  • Miao Xu, RIKEN, Japan
  • Lingyi Yang, University of Oxford, UK
  • Shiu Yin Yuen, City University of Hong Kong, Hong Kong
  • Wenhao Zhang, University of Pittsburgh, USA
  • Yu Zhang, Stanford University, USA

Organizing committee

Chairs:

  • Giuseppe Nicosia, University of Catania, Italy
  • Panos Pardalos, University of Florida, USA

Invited Speakers

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

 

Publication

ACAIN2023 post-proceedings will be published in a volume of the  Nature–Springer - Lecture Notes in Computer Science (LNCS).

Venue

The Symposium will be held at The Wordsworth Hotel & SPA (The Symposium Venue).

The accommodation has been reserved at the Wordsworth Hotel & SPA in Grasmere, which is also the venue of the Conference. Rooms will be assigned as availability permits: the most charming rooms tend to be booked fast and it is recommended that prospective participants enroll early to help ensure the best accommodation.

Meals for the participants will be served in the fascinating rooms of the Wordsworth Hotel & SPA. Please contact the Hotel (enquiry@thewordsworthhotel.co.uk) in advance if you have specific requests or special dietary requirements: we can place a request, but it cannot be guaranteed that all special needs can be met. 

https://acain2023.icas.cc/accommodation/

Contact

All questions about submissions should be emailed to acain@icas.cc

Copyright © 2002 – 2025 EasyChair