Neuromorphic computing

This special session is organized and supported by Kazan Federal University, University of the West of England, Universitat Autònoma de Barcelona.

Session Chairs:

  • Dr. Max Talanov, Kazan Federal University, Russia

Session Co-Chairs:

  • Prof. Andrew Adamatzky, UWE, UK
  • Prof. Jordi Vallverdú, UAB, Spain


The field of neuromorphic computing is new direction in the combination of neuroscience, IT and electronics. In the field we rise difficult questions: how to create neuromorphic prosthesis, how to make biocompatible self learning device, how to make current AI thousand times more energy effective, what are perspectives of non-von-Neumann  architecture, how can we overcome limitations of current AI and NN approaches. Some possible benefits of modern neuromorphic approaches: energy efficiency several thousand times in comparison to transistor based schematics, non-volatile memory, bio-compatibility of temporal parameters, overcoming the limitations of digital technology using spiking approaches.


This special session invites authors to submit high-quality research papers on the topics which include (but are not limited to) the following:

  • Memristors and memristive devices
  • Neuromorphic sensors
  • Neurosimulations
  • Neuromorphic computing theory
  • Neuromorphic applications in AI
  • Neuromorphic applications in robotics
  • Spiking neural networks
  • Unconventional computing
  • Emerging devices and hardware implementations


Paper Submission:

Prospective authors are invited to submit full-length papers (not exceeding 6 pages) conform to the IEEE format . All papers will be handled and processed electronically via the EDAS online submission system.

Submission implies the willingness of at least one of the authors to register and present their papers.