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Terence D. Sanger
2010 – today
- 2012
[c11]C. Minos Niu, Sirish Nandyala, Won Joon Sohn, Terence D. Sanger: Multi-scale Hyper-time Hardware Emulation of Human Motor Nervous System Based on Spiking Neurons using FPGA. NIPS 2012: 37-45- 2011
- [j6]Terence D. Sanger: Distributed Control of Uncertain Systems Using Superpositions of Linear Operators. Neural Computation 23(8): 1911-1934 (2011)
2000 – 2009
- 2007
- [c10]Abraham K. Ishihara, Johan van Doornik, Terence D. Sanger: A Direct Measurement of Internal Model Learning Rates in a Visuomotor Tracking Task. ICANN (2) 2007: 39-48
- 2006
- [c9]Johan van Doornik, Abraham K. Ishihara, Terence D. Sanger: Uniform Boundedness of Feedback Error Learning for a Class of Stochastic Nonlinear Systems. ICARCV 2006: 1-5
- [c8]Abraham K. Ishihara, Johan van Doornik, Terence D. Sanger: Failure Modes in Feedback Error Learning. IJCNN 2006: 277-284
- 2004
- [j5]Terence D. Sanger: Failure of Motor Learning for Large Initial Errors. Neural Computation 16(9): 1873-1886 (2004)
1990 – 1999
- 1998
- [j4]Terence D. Sanger: Probability Density Methods for Smooth Function Approximation and Learning in Populations of Tuned Spiking Neurons. Neural Computation 10(6): 1567-1586 (1998)
- 1994
- [j3]Terence D. Sanger: Theoretical Considerations for the Analysis of Population Coding in Motor Cortex. Neural Computation 6(1): 29-37 (1994)
- [c7]
- 1993
- [j2]Menashe Dornay, Terence D. Sanger: Equilibrium point control of a monkey arm simulator by a fast learning tree structured artificial neural network. Biological Cybernetics 68(6): 499-508 (1993)
- [c6]Terence D. Sanger: Two Iterative Algorithms for Computing the Singular Value Decomposition from Input/Output Samples. NIPS 1993: 144-151
- [c5]Terence D. Sanger: Optimal Unsupervised Motor Learning Predicts the Internal Representation of Barn Owl Head Movements. NIPS 1993: 614-621
- 1992
- [c4]
- 1991
- [c3]Terence D. Sanger, Richard S. Sutton, Christopher J. Matheus: Iterative Construction of Sparse Polynomial Approximations. NIPS 1991: 1064-1071
- 1990
- [c2]Terence D. Sanger: Basis-Function Trees as a Generalization of Local Variable Selection Methods. NIPS 1990: 700-706
1980 – 1989
- 1989
- [j1]Terence D. Sanger: Optimal unsupervised learning in a single-layer linear feedforward neural network. Neural Networks 2(6): 459-473 (1989)
- 1988
- [c1]
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last updated on 2013-02-25 18:41 CET by the dblp team