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Special Session
Symposium on Cognitive Neural Engineering - Understanding, Decoding and Interfacing with Cognitive Level Processes in the Brain through Neurotechnology - CogNeuroEng 2017

30 - 31 October, 2017 - Funchal, Madeira, Portugal

Within the 5th International Congress on Neurotechnology, Electronics and Informatics - NEUROTECHNIX 2017


Aldo Faisal
Imperial College London
United Kingdom
Brief Bio
Aldo Faisal leads the Brain&Behaviour lab at the Dept. of Bioengineering and the Dept. of Computing at Imperial College London. He is also Associate Group Head at the MRC Clinical Sciences Center (Hammersmith Hospital). Dr. Faisal read Computer Science and Physics in Germany. He then moved on to study Biology at Cambridge University (Emmanuel College). For his Ph.D. he joined Simon Laughlin's group ar Cambridge investigating the biophysical sources of variability in. brains. During his PhD he was elected a Junior Research Fellow at Cambridge University (Wolfson College) and joined as a PostDox the Computational & Biological Learning Group to work with Daniel Wolpert on human sensorimotor control. Between and after his studies he gained insights into strategic mangement consulting with McKinsey & Co. and as a "quant" with the investment bank Credit Suisse.
Moritz Grosse-Wentrup
Max Planck Institute for Inteligent Systems
Brief Bio
Moritz Grosse-Wentrup is a group leader at the Max Planck Institute for Intelligent Systems in Tübingen, Germany. He studied engineering at the Technische Universität München and the University of Maryland, College Park. After obtaing his Dr.-Ing. at the Technische Universität München, he worked as a postdoc with Bernhard Schölkopf at the Max Planck Institute for Biological Cybernetics. He has been the recipient of the 2011 Annual BCI Research Award and the 2016 IEEE Brain Initiative Best Paper Award. He serves as chair of the steering committee for the International Workshop on Pattern Recognition for Neuroimaging (PRNI) and is a founding member of the EURASIP special area team for Biomedical Image and Signal Analysis. His research focuses on machine learning for neural engineering, with applications in brain-computer interfacing for communication and rehabilitation.


While the field of neural engineering made rapid progress in recent years, key challenges remain in recording, decoding, and manipulating neural activity that supports the brain at the cognitive level. Advances in these areas will be crucial for the translation of fundamental insights into the neural basis of (disorders of) cognition into clinical studies. We set out to explore the current frontier in neurotechnology in a first dedicated gathering of cognitive neural engineering.


Understanding, decoding and interfacing with cognitive level processes in the brain through cognitive-level neurotechnology:
  • Novel recording technologies for neural activity that supports cognition
  • Decoding (MVPA) methods that translate neural activity into cognitive states
  • Causal inference methods that predict the effect of manipulating neural activity on cognition
  • Novel technologies for manipulating neural activity that supports cognition
  • Experimental studies on the neural basis of (disorders of) cognition
  • Applications of cognitive neural engineering in healthy subjects and patient populations
  • Ethical implications of manipulating the neural basis of cognition


Paper Submission: August 7, 2017
Authors Notification: September 4, 2017
Camera Ready and Registration: September 12, 2017


Available soon.


Prospective authors are invited to submit papers in any of the topics listed above.
Instructions for preparing the manuscript (in Word and Latex formats) are available at: Paper Templates
Please also check the Guidelines.
Papers must be submitted electronically via the web-based submission system using the appropriated button on this page.


After thorough reviewing by the special session program committee complemented by members of the main conference program committee, all accepted papers will be published in a symposia of the congress proceedings book - under an ISBN reference and on CD-ROM support - and submitted for indexation by Thomson Reuters Conference Proceedings Citation Index (CPCI/ISI), INSPEC, DBLP, EI (Elsevier Engineering Village Index) and Scopus.
SCITEPRESS is a member of CrossRef ( and every paper is given a DOI (Digital Object Identifier).
All papers presented at the conference venue will be available at the SCITEPRESS Digital Library


NEUROTECHNIX Special Sessions - CogNeuroEng 2017