Connectionists: CFP: Special Session on Brain-Realistic Models for Learning, Memory and Embodied Cognition

Huajin huajin.tang at gmail.com
Sat Apr 30 09:16:29 EDT 2011


> Dear colleagues,
> 
> We are pleased to invite your submissions to the following special session and conference:
> 
> Special Session on Brain-Realistic Models for Learning, Memory and Embodied Cognition
> The 18th International Conference on Neural Information Processing (ICONIP 2011)
> November 14-17, 2011, Shanghai, China
>  
> OVERVIEW
> 
> It has been a challenge in neuroscience and computer science for many years to implement brain-style intelligence in an artificial neural system. Artificial intelligence, developed by computer scientists is highly limited in adaptive behavior and learning ability. Therefore, the synthetic neural modeling approach, by developing brain-realistic models and related algorithms with robotic simulation has become a prevailing method to target the core problem of brain-style intelligence.  Based on neuro-anatomic and physiological features of local cortical regions and hippocampus as well as their integrated neuropsychological characteristics, the synthetic neural systems are then embedded in robotic system to emulate brain-style cognition and autonomy in a physical environment.
> 
> The ICONIP 2011 special session on “Brain-Realistic Models for Learning, Memory and Embodied Cognition” aims to reflect the efforts and achievements of the current research stream, by inviting scientists and researchers to report their state-of-the-art technologies and theories on computational modeling, theory, experiments and applications.
> 
> TOPICS
>  
> The main theme of the special session is brain-realistic models and algorithms for learning, memory and embodied cognition with applications to robotics. Topics of interest include but are not limited to:
> 
> ·         Cognitive Memory (Associative Memory, Episodic Memory, LTM, STM, Working Memory, etc.)
> ·         Neural Circuits Modeling and Theory.
> ·         Neural Information Encoding and Decoding. 
> ·         Learning and Computing in Neural Systems (STDP, recognition, inference, decision making, etc).
> ·         Micro- or Macroscopic Brain Model for Behavior and Dynamic Cognition.
> ·         Embodied Cognition, Neuro-Robotics, Robotic Cognition and Autonomy, etc.
>  
>  SUBMISSION
>  
> All special session submissions are to follow the Springer LNCS format with a limit of ten (10) A4 format pages. More information on paper submission can be found at the ICONIP 2011 website at http://iconip2011.sjtu.edu.cn/. Please select the category of special session “Brain-Realistic Models for Learning, Memory and Embodied Cognition” during the paper submission process. All submitted papers will be fully refereed. Accepted papers will be published in the ICONIP 2011 Proceedings as a Springer LNCS volume. Extended version of selected papers may be invited for publication in special issues of international journals.
>  
> Submission deadline: June 1, 2011.
> Notice of acceptance: August 1, 2011.
> SPECIAL SESSION CHAIRS:
>  
> Dr. Huajin Tang,
> Institute for Infocomm Research, A*STAR, Singapore
> Email: htang at i2r.a-star.edu.sg 
> Webpage:  http://www1.i2r.a-star.edu.sg/~htang/
>  
> Dr. Jun Tani,
> RIKEN Brain Science Institute, Tokyo, Japan
> Email: tani at brain.riken.jp
> Webpage: http://www.bdc.brain.riken.go.jp/~tani/
>  
> Sincerely,
>  
> Huajin Tang, PhD
> Research Scientist
> Institute for Infocomm Research, Singapore
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