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ORCIDRobert Hecht-Nielsen
Person information
- affiliation: University of California, San Diego, USA
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2010 – 2019
- 2015
[j15]William C. Lennon Jr., Tadashi Yamazaki
, Robert Hecht-Nielsen:
A Model of In vitro Plasticity at the Parallel Fiber - Molecular Layer Interneuron Synapses. Frontiers Comput. Neurosci. 9: 150 (2015)- 2014
- [j14]William C. Lennon Jr., Robert Hecht-Nielsen, Tadashi Yamazaki:
A spiking network model of cerebellar Purkinje cells and molecular layer interneurons exhibiting irregular firing. Frontiers Comput. Neurosci. 8: 157 (2014) - 2012
- [j13]Mehrdad Yazdani, Geoffrey Gamble, Gavin Henderson, Robert Hecht-Nielsen:
A simple control policy for achieving minimum jerk trajectories. Neural Networks 27: 74-80 (2012) - 2011
- [j12]Rupert C. J. Minnett, Andrew T. Smith, William C. Lennon Jr., Robert Hecht-Nielsen:
Neural network tomography: Network replication from output surface geometry. Neural Networks 24(5): 484-492 (2011)
2000 – 2009
- 2007
- [b2]Robert Hecht-Nielsen:
Confabulation theory - the mechanism of thought. Springer 2007, ISBN 978-3-540-49603-8, pp. I-X, 1-245 - [j11]Robert Hecht-Nielsen:
Confabulation theory. Scholarpedia 2(3): 1763 (2007) - 2006
- [c6]Robert Hecht-Nielsen:
The Mechanism of Thought. IJCNN 2006: 419-426 - 2005
- [j10]Robert Hecht-Nielsen:
Cogent confabulation. Neural Networks 18(2): 111-115 (2005) - 2003
- [p1]Robert Hecht-Nielsen:
A Theory of Thalamocortex. Computational Models for Neuroscience 2003: 85-124 - [e1]Robert Hecht-Nielsen, Thomas McKenna:
Computational Models for Neuroscience - Human Cortical Information Processing. Springer 2003, ISBN 978-1-85233-593-9 [contents] - 2001
- [j9]Brian Sagi, Syrus C. Nemat-Nasser, Rex Kerr, Raja Hayek, Christopher Downing, Robert Hecht-Nielsen:
A Biologically Motivated Solution to the Cocktail Party Problem. Neural Comput. 13(7): 1575-1602 (2001)
1990 – 1999
- 1999
- [j8]Amir Sarajedini, Robert Hecht-Nielsen, Paul M. Chau:
Conditional probability density function estimation with sigmoidal neural networks. IEEE Trans. Neural Networks 10(2): 231-238 (1999) - 1998
- [c5]Robert Hecht-Nielsen:
Cortronic Neural Network Models of Cortical Function. ICONIP 1998: 11 - [c4]Robert Hecht-Nielsen:
A Theory of the Cerebral Cortex. ICONIP 1998: 1459-1464 - 1996
- [j7]Robert Hecht-Nielsen:
Self-Organizing Maps [Book Reviews]. IEEE Trans. Neural Networks 7(6): 1549 (1996) - 1995
- [j6]Robert Hecht-Nielsen, Yi-Tong Zhou:
VARTAC: A foveal active vision ATR system. Neural Networks 8(7-8): 1309-1321 (1995) - [j5]Yu-jhih Wu, Paul M. Chau, Robert Hecht-Nielsen:
A supervised learning neural network coprocessor for soft-decision maximum-likelihood decoding. IEEE Trans. Neural Networks 6(4): 986-992 (1995) - 1993
- [j4]An Mei Chen, Haw-minn Lu, Robert Hecht-Nielsen:
On the Geometry of Feedforward Neural Network Error Surfaces. Neural Comput. 5(6): 910-927 (1993) - [c3]Stephen I. Gallant, William R. Caid, Joel Carleton, T. Gutschow, Robert Hecht-Nielsen, Kent Pu Qing, David Sudbeck:
Feedback and Mixing Experiments with MatchPlus. TREC 1993: 101-104 - 1992
- [j3]Stephen I. Gallant, Robert Hecht-Nielsen, William R. Caid, Kent Pu Qing, Joel Carleton, David Sudbeck:
HNC's MatchPlus System. SIGIR Forum 26(2): 34-38 (1992) - [c2]Stephen I. Gallant, Robert Hecht-Nielsen, William R. Caid, Kent Pu Qing, Joel Carleton, David Sudbeck:
TIPSTER Panel - HNC's MatchPlus System. TREC 1992: 107-111 - 1990
- [b1]Robert Hecht-Nielsen:
Neurocomputing. Addison-Wesley 1990, ISBN 978-0-201-09355-1, pp. I-XIII, 1-433
1980 – 1989
- 1988
- [j2]Robert Hecht-Nielsen:
Applications of counterpropagation networks. Neural Networks 1(2): 131-139 (1988) - [j1]Robert Hecht-Nielsen:
Theory of the backpropagation neural network. Neural Networks 1(Supplement-1): 445-448 (1988) - [c1]Karen Haines, Robert Hecht-Nielsen:
A BAM with increased information storage capacity. ICNN 1988: 181-190
Coauthor Index
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