2020 International Conference for Advanced Neurotechnology (ICAN)
The theme of ICAN 2020 focuses on merging advancements in understanding the computational skills of the brain. Among these are the development of mathematical algorithms that translate computational parameters into the language of machines and the availability of high density and throughput data capture analysis schemes into the creation of human-like robotic learning and intelligence.
Plenary Speaker
Andrew B Schwartz
Professor of Neurobiology
University of Pittsburgh
Keynote: Brain Machine Interface: Useful Signals from Motor Cortex
Keynote Speakers
Abdesselam Bouzerdoum
Professor and Head of ICT Division
College of Science and Engineering, Hamad Bin Khalifa University, Qatar
Keynote: Bio-inspired Artificial Vision: What Can Robot Vision Learn from Insect Vision?
Dileep George
Co-founder, Vicarious AI
Keynote: Building Robots That Work Like the Brain to Understand the Brain
Julie Grollier
Research Director
CNRS/Thales Lab, France
Keynote: Neuromorphic Computing with Spintronic Nano-Oscillators
Tony Prescott
Professor of Cognitive Robotics
Director of Sheffield Robotics
University of Sheffield, UK
Keynote: Building Robots to Understand Humans