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Books and Theses
- 1991
[b1]John A. Hertz, Anders Krogh, Richard G. Palmer:
Introduction to the theory of neural computation. The advanced book program 1, Addison-Wesley 1991, ISBN 0201515601, pp. I-XXII, 1-327
Journal Articles
- 2009
- [j14]Yasser Roudi
, Erik Aurell, John A. Hertz:
Statistical physics of pairwise probability models. Frontiers Comput. Neurosci. 3: 22 (2009) - 2003
- [j13]John A. Hertz, Barry J. Richmond, Kristian Nilsen:
Anomalous response variability in a balanced cortical network model. Neurocomputing 52-54: 787-792 (2003) - 2002
- [j12]Mattias Wahde, John A. Hertz:
Modeling Genetic Regulatory Dynamics in Neural Development. J. Comput. Biol. 8(4): 429-442 (2002) - [j11]Silvia Scarpetta, Zhaoping Li, John A. Hertz:
Hebbian Imprinting and Retrieval in Oscillatory Neural Networks. Neural Comput. 14(10): 2371-2396 (2002) - 2001
- [j10]Sergio Solinas, John A. Hertz:
Stability of asynchronous firing states in networks with synaptic adaptation. Neurocomputing 38-40: 915-920 (2001) - 1999
- [j9]Barry J. Richmond, John A. Hertz, Timothy J. Gawne:
The relation between V1 neuronal responses and eye movement-like stimulus presentations. Neurocomputing 26-27: 247-254 (1999) - [j8]Zhaoping Li, John A. Hertz:
Odor recognition and segmentation by coupled olfactory bulb and cortical networks. Neurocomputing 26-27: 789-794 (1999) - 1997
- [j7]David Golomb, John A. Hertz, Stefano Panzeri, Barry J. Richmond, Alessandro Treves:
How Well Can We Estimate the Information Carried in Neuronal Responses from Limited Samples? Neural Comput. 9(3): 649-665 (1997) - [j6]John A. Hertz, Anders Krogh, Benny Lautrup, Torsten Lehmann:
Nonlinear backpropagation: doing backpropagation without derivatives of the activation function. IEEE Trans. Neural Networks 8(6): 1321-1327 (1997) - 1995
- [j5]Joshua Heller, John A. Hertz, Troels W. Kjær, Barry J. Richmond:
Information flow and temporal coding in primate pattern vision. J. Comput. Neurosci. 2(3): 175-193 (1995) - 1994
- [j4]Troels W. Kjær, John A. Hertz, Barry J. Richmond:
Decoding cortical neuronal signals: Network models, information estimation and spatial tuning. J. Comput. Neurosci. 1(1-2): 109-139 (1994) - 1992
- [j3]John A. Hertz, Troels W. Kjær, Emad N. Eskandar, Barry J. Richmond:
Measuring Natural Neural Processing with Artificial Neural Networks. Int. J. Neural Syst. 3(Supplement): 91-103 (1992) - 1990
- [j2]K. Stokbro, D. K. Umberger, John A. Hertz:
Exploiting Neurons with Localized Receptive Fields to Learn Chaos. Complex Syst. 4(6) (1990) - 1989
- [j1]John A. Hertz:
Slender graphs. J. Comb. Theory B 47(2): 231-236 (1989)
Conference and Workshop Papers
- 2000
- [c8]Silvia Scarpetta, Zhaoping Li, John A. Hertz:
Spike-Timing-Dependent Learning for Oscillatory Networks. NIPS 2000: 152-158 - 1993
- [c7]Holm Schwarze, John A. Hertz:
Discontinuous Generalization in Large Committee Machines. NIPS 1993: 399-406 - 1992
- [c6]Holm Schwarze, John A. Hertz:
Statistical Mechanics of Learning in a Large Committee Machine. NIPS 1992: 523-530 - [c5]N. H. Wulff, John A. Hertz:
Learning Cellular Automation Dynamics with Neural Networks. NIPS 1992: 631-638 - 1991
- [c4]Emad N. Eskandar, Barry J. Richmond, John A. Hertz, Lance M. Optican, Troels W. Kjær:
Decoding of Neuronal Signals in Visual Pattern Recognition. NIPS 1991: 356-363 - [c3]Anders Krogh, John A. Hertz:
A Simple Weight Decay Can Improve Generalization. NIPS 1991: 950-957 - 1990
- [c2]Anders Krogh, John A. Hertz:
Dynamics of Generalization in Linear Perceptrons. NIPS 1990: 897-903 - 1989
- [c1]Anders Krogh, C. I. Thorbergsson, John A. Hertz:
A Cost Function for Internal Representations. NIPS 1989: 733-740
Coauthor Index
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