John A. Hertz - researchr alias

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Viewing Publication 1 - 23 from 23

2009

Statistical physics of pairwise probability modelsYasser Roudi, Erik Aurell, John A. Hertz. ficn, 2009:22, 2009. [doi]

2003

Anomalous response variability in a balanced cortical network modelJohn A. Hertz, Barry J. Richmond, Kristian Nilsen. ijon, 52-54:787-792, 2003. [doi]

2002

Hebbian Imprinting and Retrieval in Oscillatory Neural NetworksSilvia Scarpetta, Zhaoping Li, John A. Hertz. neco, 14(10):2371-2396, 2002. [doi]

Modeling Genetic Regulatory Dynamics in Neural DevelopmentMattias Wahde, John A. Hertz. jcb, 8(4):429-442, 2002.

2001

Stability of asynchronous firing states in networks with synaptic adaptationSergio Solinas, John A. Hertz. ijon, 38-40:915-920, 2001. [doi]

2000

Spike-Timing-Dependent Learning for Oscillatory NetworksSilvia Scarpetta, Zhaoping Li, John A. Hertz. nips 2001: 152-158

1999

Odor recognition and segmentation by coupled olfactory bulb and cortical networksZhaoping Li, John A. Hertz. ijon, 26-27:789-794, 1999. [doi]

The relation between V1 neuronal responses and eye movement-like stimulus presentationsBarry J. Richmond, John A. Hertz, Timothy J. Gawne. ijon, 26-27:247-254, 1999. [doi]

1997

How Well Can We Estimate the Information Carried in Neuronal Responses from Limited Samples?David Golomb, John A. Hertz, Stefano Panzeri, Barry J. Richmond, Alessandro Treves. neco, 9(3):649-665, 1997. [doi]

Nonlinear backpropagation: doing backpropagation without derivatives of the activation functionJohn A. Hertz, Anders Krogh, Benny Lautrup, Torsten Lehmann. tnn, 8(6):1321-1327, 1997. [doi]

1995

Information flow and temporal coding in primate pattern visionJoshua Heller, John A. Hertz, Troels W. Kjær, Barry J. Richmond. jcns, 2(3):175-193, 1995. [doi]

1994

Decoding cortical neuronal signals: Network models, information estimation and spatial tuningTroels W. Kjær, John A. Hertz, Barry J. Richmond. jcns, 1(1-2):109-139, 1994. [doi]

1993

Discontinuous Generalization in Large Committee MachinesHolm Schwarze, John A. Hertz. nips 1994: 399-406 [doi]

1992

Measuring Natural Neural Processing with Artificial Neural NetworksJohn A. Hertz, Troels W. Kjær, Emad N. Eskandar, Barry J. Richmond. IJNS, 3(Supplement):91-103, 1992. [doi]

Statistical Mechanics of Learning in a Large Committee MachineHolm Schwarze, John A. Hertz. nips 1993: 523-530 [doi]

Learning Cellular Automation Dynamics with Neural NetworksN. H. Wulff, John A. Hertz. nips 1993: 631-638 [doi]

1991

Decoding of Neuronal Signals in Visual Pattern RecognitionEmad N. Eskandar, Barry J. Richmond, John A. Hertz, Lance M. Optican, Troels W. Kjær. nips 1992: 356-363 [doi]

Introduction to the theory of neural computationJohn A. Hertz, Anders Krogh, Richard G. Palmer. Volume 1 of The advanced book program, Addison-Wesley, 1991. [doi]

A Simple Weight Decay Can Improve GeneralizationAnders Krogh, John A. Hertz. nips 1992: 950-957 [doi]

1990

Dynamics of Generalization in Linear PerceptronsAnders Krogh, John A. Hertz. nips 1991: 897-903 [doi]

Exploiting Neurons with Localized Receptive Fields to Learn ChaosK. Stokbro, D. K. Umberger, John A. Hertz. compsys, 4(6), 1990. [doi]

1989

Slender graphsJohn A. Hertz. JCT, 47(2):231-236, 1989. [doi]

A Cost Function for Internal RepresentationsAnders Krogh, C. I. Thorbergsson, John A. Hertz. nips 1990: 733-740 [doi]

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