Monday, April 30, 2012

[Comp-neuro] call for special issue papers in neurocomputing journal

Dear colleagues,

 

We are working towards compiling a NeuroComputing journal special issue on

 

Brain inspired models of cognitive memory

 

Author paper submission deadline: 1st August 2012

Reviews due: 15th October 2012

Revised manuscripts due on: 15th November 2012

Final decision notice: 15th December 2012

 

 

To ensure that all manuscripts are correctly identified for inclusion into the special issue you are editing, it is important that authors select

“Article Type” Special Issue: IJCNN-BICM-2012 when they reach the step in the submission process; failure to do so will cause the papers to go unrecognized as belonging to your special issue. Please also email the guest editors (see email below) about your intention to submit a paper

 

Current memory technologies have experienced significant progress in terms of storage capacity, operation speed, integration capability, etc. However, their functions are highly constrained in storing and transferring data in space and time, prompting the need for improvement. Is there any available memory system that has multiple functions besides only data storage? Nature gives the firm answer: yes, it is human memory.

 

In contrast to physical memories, the biological counterpart has versatile functions. For instance, it stores data associatively such that different modalities of data could be retrieved simultaneously; it can learn different concepts, categorize and store them in an organized manner; it can process and store data concurrently and in a distributed fashion; it can restore content even if some part is damaged; it can perceive the stimulus and predict the next event; it can adapt to the environment and perform selective storage. Functions such as adaptation, learning, perception, self-organization and prediction make human memory have distinct cognitive features. Can we change the way data is currently being stored in computational systems by building a physical memory device that has cognitive functions like human memory?

 

The scope of the question transcends several interdisciplinary boundaries and combines efforts in both hardware and software engineering. It has prompted us to organize the special session at IJCNN 2012 on brain inspired memory models, with the aim to offer a meeting opportunity for researchers belonging to the various communities of computational intelligence, machine learning, cognitive modelling, as well as researchers in hardware (circuit level) implementation of cognitive systems and those working at materials level research, such as memristors and phase change materials. Research papers that focus on how these technologies can be used to develop a memory based intelligent system contributed to the special session.

 

The Neurocomputing special issue aims to extend some of the ideas that were proposed in the IJCNN special session, as well as to solicit high quality papers that discuss new ideas on the modelling of memory and the development of cognitively inspired memory devices and aims to create a bridge between hardware and system level research.  

 

Topics of interest to the publication include (but are not limited to):

  • System level models of cognitive memory (associative memory, episodic memory, LTM, STM, working memory, semantic memory, etc)
  • Neural circuits modelling and theory (Winner take all, attractors etc)
  • Synaptic models
  • Neural information encoding and decoding
  • Learning mechanisms (STDP, Hebbian learning, non-associative learning etc)  
  • Artificial neural network model of memory in hardware and devices

To ensure ample time for the authors to prepare the manuscripts, the submission of the manuscripts is due on 1st August 2012

 

Guest Editors:

Dr Kiruthika Ramanathan, Data Storage Institute, Agency for Science, Technology and Research, Singapore

Email: Kiruthika_r@dsi.a-star.edu.sg

Dr. Tang Huajin, Institute of InfoComm Research, Agency for Science, Technology and Research, Singapore

Email: htang@i2r.a-star.edu.sg

 

Dr. Ning Ning, Data Storage Institute, Agency for Science, Technology and Research, Singapore

Email: Ning_ning@dsi.a-star.edu.sg

 

 



This email and any attachments are confidential and may be privileged. If you are not the intended recipient, please delete it and notify us immediately. Please do not copy or use it for any purpose, or disclose its contents to any other person. This email does not constitute a contract offer, a contract amendment, or an acceptance of a contract offer. Thank you.

No comments:

Post a Comment