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Multi-Layer Networks

, , and . Introduction to the Theory of Neural Computation, chapter 6, Addison-Wesley, New York, (1991)

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Learning Synfire Chains: Turning Noise into Signal., and . Int. J. Neural Syst., 7 (4): 445-450 (1996)Simple Perceptrons, , and . Introduction to the Theory of Neural Computation, chapter 5, Addison-Wesley, New York, (1991)Bibliography, , and . Introduction to the Theory of Neural Computation, (1991)The Ising Model for Neural Data: Model Quality and Approximate Methods for Extracting Functional Connectivity, , and . (Feb 17, 2009)Mean Field Methods for Cortical Network Dynamics., , and . Summer School on Neural Networks, volume 3146 of Lecture Notes in Computer Science, page 71-89. Springer, (2003)Multi-Layer Networks, , and . Introduction to the Theory of Neural Computation, chapter 6, Addison-Wesley, New York, (1991)Generalization in large committee machines, and . Physica A: Statistical and Theoretical Physics, 200 (1-4): 563--569 (Nov 15, 1993)Decoding cortical neuronal signals: Network models, information estimation and spatial tuning., , and . J. Comput. Neurosci., 1 (1-2): 109-139 (1994)How Well Can We Estimate the Information Carried in Neuronal Responses from Limited Samples?, , , , and . Neural Comput., 9 (3): 649-665 (1997)A Simple Weight Decay Can Improve Generalization., and . NIPS, page 950-957. Morgan Kaufmann, (1991)