Introduction

Computational Intelligence (CI) has for many years drawn inspiration from the brain to produce data and signal processing techniques and systems which are capable of learning, evolving, adapting, self-organizing, communicating effectively with humans and machines and controlling complex systems. Brain-inspired methods are now widely used to process data produced by the brain with the aim of improving our understanding of how the brain functions and produces the remarkable intelligence exhibited by humans, which is yet elusive for computational systems.

Call for paper

Submission Topics

Topics of interest include Cognitive mathematical models and experimental predictions Cortical dynamics, theory & experiments Brain-computer interface Autonomous robot control Visual and audio perception Language and cognition interaction Brain rhythms and their cognitive relevance Extracting cognitive events from EEG signals Embodied cognition modeling Models of cognitive dissonance and its functions in cognition Neural Modeling Fields (NMF) and dynamic logic Cognitive robotics Perceptual processing Evolutionary and multi-agent modeling Psychological and neurological disorders Emotional and cognitive algorithms Models of higher abilities of the mind Aesthetic and musical emotions and their function in cognition Emotions of language prosody and their functions in cognition Evolution of languages and cultures Socio-cultural modeling
Submit Comment
Verify Code Change Another
All Comments
Important Date

  • Conference Date

    Dec 09

    2014

    to

    Dec 12

    2014

  • Dec 12 2014

    Registration deadline

Sponsored By
IEEE Computational Intelligence Society
Contact Information
Login to view full contact details