John A. Hertz - RankMe

23 papers Journal 14Unranked 8

Year	Rank	Type	Title / Venue / Authors
2009	J	`jnl`	Statistical physics of pairwise probability models. Frontiers Comput. Neurosci. Yasser Roudi, Erik Aurell, John A. Hertz
2003	J	`jnl`	Anomalous response variability in a balanced cortical network model. Neurocomputing John A. Hertz, Barry J. Richmond, Kristian Nilsen
2002	J	`jnl`	Hebbian Imprinting and Retrieval in Oscillatory Neural Networks. Neural Comput. Silvia Scarpetta, Zhaoping Li, John A. Hertz
2002	J	`jnl`	Modeling Genetic Regulatory Dynamics in Neural Development. J. Comput. Biol. Mattias Wahde, John A. Hertz
2001	J	`jnl`	Stability of asynchronous firing states in networks with synaptic adaptation. Neurocomputing Sergio Solinas, John A. Hertz
2000	—	`conf`	Spike-Timing-Dependent Learning for Oscillatory Networks. NIPS Silvia Scarpetta, Zhaoping Li, John A. Hertz
1999	J	`jnl`	Odor recognition and segmentation by coupled olfactory bulb and cortical networks. Neurocomputing Zhaoping Li, John A. Hertz
1999	J	`jnl`	The relation between V1 neuronal responses and eye movement-like stimulus presentations. Neurocomputing Barry J. Richmond, John A. Hertz, Timothy J. Gawne
1997	J	`jnl`	How Well Can We Estimate the Information Carried in Neuronal Responses from Limited Samples? Neural Comput. David Golomb, John A. Hertz, Stefano Panzeri, Barry J. Richmond, Alessandro Treves
1997	J	`jnl`	Nonlinear backpropagation: doing backpropagation without derivatives of the activation function. IEEE Trans. Neural Networks John A. Hertz, Anders Krogh, Benny Lautrup, Torsten Lehmann
1995	J	`jnl`	Information flow and temporal coding in primate pattern vision. J. Comput. Neurosci. Joshua Heller, John A. Hertz, Troels W. Kjær, Barry J. Richmond
1994	J	`jnl`	Decoding cortical neuronal signals: Network models, information estimation and spatial tuning. J. Comput. Neurosci. Troels W. Kjær, John A. Hertz, Barry J. Richmond
1993	—	`conf`	Discontinuous Generalization in Large Committee Machines. NIPS Holm Schwarze, John A. Hertz
1992	—	`conf`	Learning Cellular Automation Dynamics with Neural Networks. NIPS N. H. Wulff, John A. Hertz
1992	J	`jnl`	Measuring Natural Neural Processing with Artificial Neural Networks. Int. J. Neural Syst. John A. Hertz, Troels W. Kjær, Emad N. Eskandar, Barry J. Richmond
1992	—	`conf`	Statistical Mechanics of Learning in a Large Committee Machine. NIPS Holm Schwarze, John A. Hertz
1991	—	`conf`	A Simple Weight Decay Can Improve Generalization. NIPS Anders Krogh, John A. Hertz
1991	—	`conf`	Decoding of Neuronal Signals in Visual Pattern Recognition. NIPS Emad N. Eskandar, Barry J. Richmond, John A. Hertz, Lance M. Optican, Troels W. Kjær
1991	—	`book`	Introduction to the theory of neural computation. John A. Hertz, Anders Krogh, Richard G. Palmer
1990	—	`conf`	Dynamics of Generalization in Linear Perceptrons. NIPS Anders Krogh, John A. Hertz
1990	J	`jnl`	Exploiting Neurons with Localized Receptive Fields to Learn Chaos. Complex Syst. K. Stokbro, D. K. Umberger, John A. Hertz
1989	—	`conf`	A Cost Function for Internal Representations. NIPS Anders Krogh, C. I. Thorbergsson, John A. Hertz
1989	J	`jnl`	Slender graphs. J. Comb. Theory B John A. Hertz