E-mail at the Department of Computer Science: jespersa
- Learning and abstracting through the use of hierarchical learning of temporal patterns, cf. Learning and abstracting robots and Biologically-inspired machine learning.
An experiment in machine learning
An attempt to compete at DTU RoboCup, by applying the LRS pattern matching algorithm as a robot control algorithm for a Scorpion robot. A report on the system, the source code as well as quite short videos of the system in action are available.
The contestant name at DTU RoboCup was [[M�moire]].
Solution for exercise 2.35. (Friday, 15:20. Initial revision: Thursday, Feb 15th, 14:45)
Biologically-inspired machine learning
Functionality of the neocortex (part of the cerebral cortex) has been suggested to be based on a hierarchical bayesian framework: Hierarchical Bayesian inference in the visual cortex.
- Tai Sing Lee, CMU: Center for the Neural Basis of Cognition.
- David Mumford, Brown University, DAM.
- Thomas L. Dean, Brown University, CS.
- Jeff Hawkins and Dileep George, Numenta and The Redwood Center for Theoretical Neuroscience, UC Berkeley.
- Intel Open Source Probabilistic Networks Library.
For computer science students with interests like mine:
- The small book that explains how the brain works: On Intelligence, Jeff Hawkins with Sandra Blakeslee, 2004 - if you think artificial neural networks such as perceptrons doesn't really deserve the name "neural", but still think that much can be learned from the way brains work.
- A more in-depth article, Hierarchical Bayesian inference in the visual cortex, building on the established Bayesian belief propagation (just like in On Intelligence) and particle filtering algorithms.
- Cognitive Neuroscience, Gazzaniga et al. 2002 - on the biological foundations of cognitive phenomena - textbook used on the cognitive psychology course at the University of Copenhagen.
- How the Cortex Works, speedtalk by Jeff Hawkins at the Redwood Neuroscience Institute.
- Redwood Center for Theoretical Neuroscience, Inaugural Symposium DVD.