[robotics-worldwide] [Meetings][CPF]: Extended Deadline for the Computational Models for Crossmodal Learning Workshop at ICDL-EPIROB 2017 - Lisbon

Pablo Barros barros at informatik.uni-hamburg.de
Mon Jul 31 09:27:25 PDT 2017


Extended Deadline

International workshop: Computational Models for Crossmodal Learning

In conjunction with the 7th Joint IEEE International Conference on
Development and Learning and on Epigenetic Robotics (ICDL-EPIROB)

Lisbon - Portugal - September 18, 2017


I. Aim and Scope

The ability of processing crossmodal information is a
fundamental feature of the brain that provides a robust
perceptual experience for an efficient interaction with the
environment. Consequently, the integration of multisensory
information plays a crucial role in autonomous systems to
create robust and meaningful representations of objects and events.
For dealing with real-world information, an autonomous, intel-
ligent system must be capable of processing, integrating, and
segregating different modalities for the purpose of coherent
perception, decision-making, and cognitive learning.

Recent neurophysiological findings in cross-
modal learning have inspired novel computational models with
the aim to trigger biologically inspired behavioral responses.
A rich set of neural mechanisms support the integration and
segregation of multimodal stimuli, providing the means to
efficiently solve conflicts across modalities.

This workshop aims to join research from psychology, computational
neuroscience, artificial intelligence, and cognitive robotics to discuss
current research on crossmodal learning mechanisms both from the
theoretical and modelling perspective. Possible avenues for
future research in the field of crossmodal learning are principal
 topics of a discussion panel.

II. Target Audience

This workshop is open to doctoral students and senior researchers
working in computer and cognitive science, psychology, neuroscience
and related areas with the focus on crossmodal learning.

III. Keynote Speakers

- Yulia Sandamirskaya, University of Zurich, Switzerland
- Yukie Nagai, University of Osaka, Japan
- Charles Spence, University of Oxford, UK
- Stefan Wermter, University of Hamburg, Germany

IV. Submission

- For paper submission, use the following IEEE template (double column):
<https://urldefense.proofpoint.com/v2/url?u=http-3A__ras.papercept.net_conferences_support_support.php&d=DwICaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=1Ir8omC_mJNq2PqtMuhlYU42M_ykCrouxg_8fYa4_s0&s=5w5_Y_VvrXqGIDMrdHIzZqDfl7rJyJuKLOMpx8gK38w&e= >

- Submitted papers should be limited to 2 pages (extended abstract) or
  4 pages maximum (short paper).

- Send your pdf file to both: barros at informatik.uni-hamburg.de
  AND jirak at informatik.uni-hamburg.de

- The primary list of topics covers the following topics (but not
limited to):

- Machine learning and neural networks for multimodal learning
- Behavioral studies on crossmodal learning
- Models of crossmodal attention and perception
- New theories and findings on crossmodal processing
- Bio-inspired approaches for multisensory integration
- Deep learning architectures for multimodal perception
- Multimodal systems for robotics.

Selected contributions will be presented during the workshop as
spotlight talks and in a poster session.

Contributors to the workshop will be invited to submit extended versions
of the manuscripts to a special issue to be arranged.
Submissions will be peer reviewed consistent with the journal practices.

V. Important Dates

- Paper submission deadline: 11.08.2017 (Extended)
- Notification of acceptance: 25.08.2017
- Camera-ready version: 05.09.2017
- Workshop: *18-September-2017*

VI. Organizers

Pablo Barros,  German I. Parisi, Doreen Jirak, Hamburg University, Germany,
Bruno Fernandes, Universidade de Pernambuco, Brazil

Dr.rer.nat. Pablo Barros
Research Associate
Knowledge Technology
Department of Informatics
University of Hamburg
Vogt-Koelln-Str. 30
22527 Hamburg, Germany
Phone: +49 40 42883 2535
Fax: +49 40 42883 2515
barros at informatik.uni-hamburg.de

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