Implementation issues of systems and circuits with learning capabilities have been a main theme of researchers owing to intelligent perception and action evolved with biological organisms. The main objective of this special issue is to bring the most recent and updated research efforts together and provide the most comprehensive studies for the community.
The content is mainly devoted to modelling and structural (system and circuit) implementation for short and long-term learning paradigms, possible perception mechanisms, information storage and retrieval based on decision-making with sensory and sensory-motor activities, sensors and actuators, spike-based modelling learning, neural-coding, supervised and unsupervised learning, neural networks, self-organising maps, learning-vector quantisation and so on.
The special issue is intended mainly for academics who have undertaken theoretical studies on implementation/design aspects of biologically-inspired learning, intelligence and motor actions to realise decision-making with system and circuit design issues. We are also hoping to contribute to and inspire those who have aspirations to pursue research in these areas.
Suitable topics include, but are not limited to, the following:
- Biologically-inspired learning and brain modelling
- Modelling intelligence and information retrieval
- Modelling decision-making
- System design for learning and decision making
- Sensory behaviour and motor actions
- System design for sensory-motor learning
- Spiking action modelling and systems
- Neural architectures and learning
- Circuits for decision-making
- Neuromorphic system design
- Neuro-spike systems and circuits
- Fuzzy systems, and circuits
- Competitive learning systems and circuits
- Telemetry and biomedicine
- Integration of sensory behaviour and coding
- VLSI and ULSI implementation of decision-making and learning
Submission of Manuscripts: 15 April, 2015
Notification to Authors: 15 May, 2015
Final Versions Due: 15 June, 2015