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{931} |
ref: Deco-2009.05
tags: stochastic dynamics Romo memory computation
date: 01-16-2012 18:54 gmt
revision:1
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PMID-19428958[0] Stochastic dynamics as a principle of brain function
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PMID-9307146[0] Systematic changes in directional tuning of motor cortex cell activity with hand location in the workspace during generation of static isometric forces in constant spatial directions.
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PMID-6253605[0] Functional classes of primate corticomotoneuronal cells and their relation to active force
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PMID-7760138[0] Temporal encoding of movement kinematics in the discharge of primate primary motor and premotor neurons
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PMID-10681435 Cortical correlates of learning in monkey adapting to a new dynamical environment. | |||
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Another excellent post from Steinberg regarding treating people as predictable nonlinear fluids. "The system works far better when a column is introduced off-center in front of the door,as demonstrated Mr. Torrens. "It's counterintuitive, but the column sends shock waves through the crowds to break up the congestion patterns." (...) Most traffic jams are emergent phenomena that begin with mistakes from just one or two drivers. According to Horvitz's models, they can actually "un-jam" traffic by calling drivers at a particular location, and giving them very specific instructions: "Move to the left-most lane, and then speed-up to 65." | |||
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ref: -0
tags: differential dynamic programming machine learning
date: 09-24-2008 23:39 gmt
revision:2
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PMID-10607637[0] Internal models for motor control and trajectory planning
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PMID-15208695[0] PDF HTML summary Optimal feedback control and the neural basis of volitional motor control by Stephen S. Scott ____References____ | |||
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ref: bookmark-0
tags: Bayes Baysian_networks probability probabalistic_networks Kalman ICA PCA HMM Dynamic_programming inference learning
date: 0-0-2006 0:0
revision:0
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http://www.cs.ubc.ca/~murphyk/Bayes/bnintro.html very, very good! many references, well explained too. |