Special Sessions
Special Session on Challenges in Neuroengineering -
SSCN
2012
Regular Paper Submission:
July 5, 2012
Authors Notification (regular papers):
July 18, 2012
Final Regular Paper Submission and Registration:
July 30, 2012
Scope
Neuroengineering is a discipline within biomedical engineering. This interdisciplinary approach combines principles from machine learning, signal processing theory, and computational neuroscience applied to problems in basic and clinical neuroscience.
The ultimate goal of neuroengineering is a technological revolution, where machines would interact in real-time with the brain. Machines and brains could interface, enabling normal function in cases of injury or disease, brain monitoring and/or medical rehabilitation of brain disorders.
Much current research in neuroengineering is focused on understanding the coding and processing of information in the sensory and motor systems, quantifying how this processing is altered in the pathological state, and how it can be manipulated through interactions with artificial devices including brain-computer interfaces and neuroprosthetics.
Our brains are buzzing with electrical activity moving in and out of neural cells, sending electrical impulses along their axons, and exchanging chemical messages. Neural signals allow us to observe neuronal activity in real time.