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AAAI
2008
14 years 10 days ago
Adaptive Treatment of Epilepsy via Batch-mode Reinforcement Learning
This paper highlights the crucial role that modern machine learning techniques can play in the optimization of treatment strategies for patients with chronic disorders. In particu...
Arthur Guez, Robert D. Vincent, Massimo Avoli, Joe...
CORR
2006
Springer
99views Education» more  CORR 2006»
13 years 10 months ago
Statistical mechanics of neocortical interactions: Portfolio of Physiological Indicators
There are several kinds of non-invasive imaging methods that are used to collect data from the brain, e.g., EEG, MEG, PET, SPECT, fMRI, etc. It is difficult to get resolution of i...
Lester Ingber
JCNS
2002
101views more  JCNS 2002»
13 years 9 months ago
Redundancy and Synergy Arising from Pairwise Correlations in Neuronal Ensembles
Multielectrode arrays allow recording of the activity of many single neurons, from which correlations can be calculated. The functional roles of correlations can be revealed by mea...
Michele Bezzi, Mathew E. Diamond, Alessandro Treve...
SAB
2010
Springer
117views Optimization» more  SAB 2010»
13 years 8 months ago
Indirectly Encoding Neural Plasticity as a Pattern of Local Rules
Biological brains can adapt and learn from past experience. In neuroevolution, i.e. evolving artificial neural networks (ANNs), one way that agents controlled by ANNs can evolve t...
Sebastian Risi, Kenneth O. Stanley
SSS
2010
Springer
139views Control Systems» more  SSS 2010»
13 years 8 months ago
Vulnerability Analysis of High Dimensional Complex Systems
Complex systems experience dramatic changes in behavior and can undergo transitions from functional to dysfunctional states. An unstable system is prone to dysfunctional collective...
Vedant Misra, Dion Harmon, Yaneer Bar-Yam