Symposium on Biomorphic Circuits and Systems with Threshold Logic (BioTL 2014)

Co-located with 2014 Annual International Conference on Biologically Inspired Cognitive Architectures (BICA 2014) November 7-9 (Friday-Sunday): Massachusetts Institute of Technology, Cambridge, MA 02139, United States
http://biomicrosystems.info/biotl2014

Important dates

Abstract and Paper Submission Due - July 3* 2014
Paper Review Feedback - July 14*
Final Papers Due - August 15

Submissions are accepted in the following categories:
(1) BICA journal paper (Letter or full Research Article)
(2) Procedia Computer Science paper (limited to 6 pages)
(3) unpublished abstract to be included in the conference brochure
For submission details visit: http://biomicrosystems.info/biotl2014/submission

The duality of the neuron networks to memorize objects and learn concepts in a hierarchical and modular manner along with sparse processing of information are considered essential to biomorphic computing systems.

Biomorphic brain systems rely on the use of any type of thresholds in the process of information processing and decision making. Some of the intelligent systems that make use of threshold logic are: (1) Artificial neural networks, (2) Neuro-fuzzy architectures, (3) threshold logic gates, (4) hierarchical temporal memories, and (5) deep learning networks.

The research contributions are welcome in the following topics that target at building brain computing systems within the scope of biomorphic circuits and systems using threshold logic:
Philosophy and science of threshold logic and functions
Memristive and resistive networks; Threshold logic gates; PatternRecognisers
Emerging memory technologies for threshold logic systems
Devices, circuits and systems emulating threshold logic
Hybrid networks – neural and fuzzy systems incorporating threshold logic
Future computer networks utilising biomorphic algorithms
Future computer architectures using threshold logic
Biomorphic information and decision fusion
Biomorphic cloud and distributed computing
Deep learning architectures using threshold logic
Neuromorphic Vision and CMOS sensors
Medical and biological studies related to threshold logic
In case of any questions you may contact Chair / Organizer:
Alex Pappachen James E: apj[AT]ieee(dot)org