Chris ELIASMITH – 26 janvier 2023
Titre : Spaun 2.0: A large-scale model of biological cognition
Résumé :
The large-scale model of the brain, Spaun, has undergone significant development. In this talk, I describe how it has more than doubled in size, to 6.3 million neurons, 20 billion connections, and significantly increased in functionality. New functions include the ability to adapt online to changes in motor dynamics, classification of over 1000 categories of images, and perhaps most importantly the ability to perform simple ‘mental gymnastics’. In this talk I describe the semantic pointer architecture (SPA) that is used to construct the model, demonstrate Spaun’s abilities, and discuss future plans for improving on what is currently the world’s largest functional brain model.
Bio :
Chris ELIASMITH, Director, Centre for Theoretical Neuroscience (CTN) at the University of Waterloo, is the co-inventor of the Neural Engineering Framework (NEF), the Neural Engineering Objects (Nengo) software environment, and the Semantic Pointer Architecture (SPA), all dedicated to understanding how the brain works. His team has developed the Semantic Pointer Architecture Unified Network (Spaun) which is the most realistic functional brain simulation yet developed. Chris is the author of How to Build a Brain (Oxford University Press) and Neural Engineering (MIT Press).
Références
Duggins, P., & Eliasmith, C. (2022). Constructing functional models from biophysically-detailed neurons. PLOS Computational Biology, 18(9), e1010461.
Jan Gosmann and Chris Eliasmith. CUE: a unified spiking neuron model of short-term and long-term memory. Psychological Review, 128(1):104-124, 01 2021.
Voelker, A. R., Blouw, P., Choo, X., Dumont, N. S. Y., Stewart, T. C., & Eliasmith, C. (2021). Simulating and predicting dynamical systems with spatial semantic pointers. Neural Computation, 33(8), 2033-2067.
Choo, F. X. (2018). Spaun 2.0: Extending the world’s largest functional brain model.