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» Mathematics of the Neural Response
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IJON
2002
90views more  IJON 2002»
13 years 9 months ago
Linearly decodable functions from neural population codes
The population vector is a linear decoder for an ensemble of neurons, whose response properties are nonlinear functions of the input vector. However, previous analyses of this deco...
M. Brandon Westover, Chris Eliasmith, Charles H. A...

Book
519views
15 years 9 months ago
Information Theory, Inference, and Learning Algorithms
This book is aimed at senior undergraduates and graduate students in Engineering, Science, Mathematics, and Computing. It expects familiarity with calculus, probability theory, and...
David J. C. MacKay
ECAL
2003
Springer
14 years 3 months ago
First Steps in Evolving Path Integration in Simulation
Abstract. Path integration is a widely used method of navigation in nature whereby an animal continuously tracks its location by integrating its motion over the course of a journey...
Robert Vickerstaff
IJCAI
1997
13 years 11 months ago
An Effective Learning Method for Max-Min Neural Networks
Max and min operations have interesting properties that facilitate the exchange of information between the symbolic and real-valued domains. As such, neural networks that employ m...
Loo-Nin Teow, Kia-Fock Loe
WCE
2007
13 years 11 months ago
Neural Network Global Sliding Mode PID Control for Robot Manipulators
—This paper presents a neural network global PID-sliding mode control method for the tracking control of robot manipulators with bounded uncertainties. A certain sliding mode con...
T. C. Kuo, Y. J. Huang