
Neural engineering
by Chris Eliasmith · first published 2003
4mentions
1recommended by
4HN commenters
2015–2020first – last mentioned
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…intelligent systems. As for Liquid State Machines, those evolved into Reservoir Computing and Echo State Machines. If you want to read more about them, I would recommend this paper comparing them to the Neural Engineering Framework [4] (with code!) to get a good idea of the state of the field. [1] https://medium.com/@seanaubin/deep-learning-is-almost-the-br... [2] https://cogsci.stackexchange.com/q/16269/4397 [3] https://medium.com/@seanaubin/a-way-around-the-coming-perfor...…
on “What intelligent machines need to incorporate from the neocortex” ↗…Planning and Acting - Malik Ghallab, Dana Nau, & Paolo Traverso 58. How Can The Human Mind Occur in the Physical Universe? - John Anderson 59. Spiking Neuron Models - Wulfram Gerstner & Werner Kistler 60. Neural Engineering - Chris Eliasmith & Charles H. Anderson 61. Principles of Neural Design - Peter Sterling & Simon Laughlin 62. Semantic Information Processing - Marvin Minsky 63. The SOAR Cognitive Architecture - John…
on “Ask HN: What projects are you working on now?” ↗Neural engineering by Chris Eliasmith: http://www.amazon.com/Neural-Engineering-Representation-Neur...
on “Ask HN: Which book are you reading these days?” ↗If you're interested in this you should check out Chris Eliasmith's lab - they have a Neural Engineering Framework and NENGO, which in it's current implementation is like a Python to neural network compiler. http://www.nengo.ca
on “A visual proof that neural nets can compute any function” ↗