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Call For Contributions - Workshop on Spatio-temporal Aspects of
Embodied Predictive Processing @ IEEE ICDL2021<br>
<br>
<br>
Aims and Scope:<br>
<br>
Understanding human intelligence and building strong AI systems is a
key challenge for our generation. A particularly puzzling aspect is
that the human brain seems to cope very well with the highly
variable and uncertain nature of perception and action, regarding
both their signal characteristic and how they extend over time.
Furthermore, it seems apparent that the information processing in
the brain always involves previous bodily experiences and all our
senses, thus is embodied and crossmodal. For explaining these
characteristics, there are strong accounts that the brain is
constantly predicting sensory input and feedback while minimising
free energy in the prediction and is hierarchically abstracting the
perception as well as hierarchically composing action. Furthermore,
it is also hypothesised that mechanistic priors in the brain’s
information processing induce a failure of hierarchical inference in
the brain, accounting for atypical perception and action of
psychiatric disorders. For example, some brains might have developed
to focus too strongly on current sensory input while others might
focus too strongly on memorised previous experience. A typically
developed brain, in contrast, would show a fine balance compared to
these two extreme priors. The big open mystery is: how is the brain
developing this on a mechanistic level and thus how can this get
learned within an AI system? <br>
<br>
Thus, to lift this mystery, we further need to bring together
research from computational neuroscience, cognitive psychology, and
artificial intelligence. With this workshop, we particularly want to
wrap up different recent hypotheses, models, and experiments and
discuss in-depth how to shape future imaging, behavioural, and
developmental robotics studies as a complement to computational
modelling and bio-inspired artificial intelligent algorithms. As a
guiding theme, we aim to approach the following central questions:<br>
<br>
- How does the brain learn spatio-temporal stochasticity in
perception and action?<br>
<br>
- What is the role of priors in learning spatio-temporal adaptive
prediction?<br>
<br>
- How can developmental robotics help us to study spatio-temporal
stochasticity as an analogy to infant learning?<br>
<br>
We examine these questions with the insight from invited key
speakers from complementary fields as well as original contributions
in breakout sessions in order to conclude the next steps within in a
panel discussion.<br>
<br>
All information online: <a class="moz-txt-link-freetext" href="https://sites.google.com/view/stepp21/home">https://sites.google.com/view/stepp21/home</a><br>
<br>
<br>
Keynotes/Panellists:<br>
<br>
- Jun Tani, Cognitive Neurorobotics, Okinawa Institute of Science
and Technology (OIST)<br>
<br>
- Marcel van Gerven, Artificial Cognitive Systems, Donders
Institute, Radboud University<br>
<br>
- Takuya Isomura, Brain Intelligence Theory, RIKEN Center for Brain
Science<br>
<br>
- Takamitsu Watanabe, Brain Network Dynamics, International Research
Center for Neurointelligence (IRCN), The University of Tokyo<br>
<br>
<br>
Contributions:<br>
<br>
We invite submissions of extended abstracts on ongoing research that
focuses on one or several of our guiding questions as contributions.
In addition to the live presentation and discussion during the
workshop, the contributions will be made public in workshop
proceedings.<br>
<br>
- Extended abstract submission deadline: 11.07.2021<br>
<br>
- Decision & Notification: 25.07.2021 <br>
<br>
- Camera-ready version due: 08.08.2021<br>
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- Workshop online: 22.08.2021<br>
<br>
Submission website: <a class="moz-txt-link-freetext" href="https://sites.google.com/view/stepp21/">https://sites.google.com/view/stepp21/</a> =>
Contribute<br>
<br>
<br>
Organisers:<br>
<br>
Stefan Heinrich, IRCN, The University of Tokyo, Japan<br>
Shingo Murata, Dept. Electronics and Electrical Engineering, Keio
University, Japan<br>
Yukie Nagai, IRCN & Institute for AI and Beyond, The University
of Tokyo, Japan<br>
Yuichi Yamashita, National Center of Neurology and Psychiatry, Japan<br>
<br>
<br>
-- <br>
*************************************************************<br>
Dr. Stefan Heinrich<br>
Postdoctoral Project Researcher<br>
Cognitive Developmental Robotics Lab<br>
The University of Tokyo, Institutes for Advanced Studies,<br>
International Research Center for Neurointelligence<br>
<br>
Email: <a class="moz-txt-link-abbreviated" href="mailto:heinrich.stefan@ircn.jp">heinrich.stefan@ircn.jp</a><br>
<a class="moz-txt-link-freetext" href="https://developmental-robotics.jp/en/members/stefan_heinrich/">https://developmental-robotics.jp/en/members/stefan_heinrich/</a><br>
<a class="moz-txt-link-freetext" href="https://ircn.jp/en/">https://ircn.jp/en/</a><br>
<a class="moz-txt-link-freetext" href="https://stefanheinrich.net/">https://stefanheinrich.net/</a><br>
*************************************************************<br>
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