Search Results - "Solla, S A"

Evolutionary expansion and specialization of the PDZ domains by Sakarya, O, Conaco, C, Egecioglu, O, Solla, S A, Oakley, T H, Kosik, K S

“…PDZ domains are protein-protein interaction modules widely used to assemble membranous signaling complexes including those found in the neuronal synapse…”
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Multi-locus nonparametric linkage analysis of complex trait loci with neural networks by Lucek, P, Hanke, J, Reich, J, Solla, S A, Ott, J

“…Complex traits are generally taken to be under the influence of multiple genes, which may interact with each other to confer susceptibility to disease…”
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Neural primitives for motion control by Mussa-Ivaldi, F.A., Solla, S.A.

“…The neural control of movement requires the ability to deal with changes, both in the environment and in the parameters that characterize the mechanical…”
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Amplification in the auditory periphery: the effect of coupling tuning mechanisms by Montgomery, K A, Silber, M, Solla, S A

“…A mathematical model describing the coupling between two independent amplification mechanisms in auditory hair cells is proposed and analyzed. Hair cells are…”
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A statistical approach to learning and generalization in layered neural networks by Levin, E., Tishby, N., Solla, S.A.

“…A general statistical description of the problem of learning from examples is presented. Learning in layered networks is posed as a search in the network…”
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Universal distribution of saliencies for pruning in layered neural networks by Gorodkin, J, Hansen, L K, Lautrup, B, Solla, S A

“…A better understanding of pruning methods based on a ranking of weights according to their saliency in a trained network requires further information on the…”
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Eigenvalues of covariance matrices : application to neural-network learning by LE CUN, Y, KANTER, I, SOLLA, S. A

“…The learning time of a simple neural-network model is obtained through an analytic computation of the eigenvalue spectrum for the Hessian matrix, which…”
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Self-sustained activity in a small-world network of excitable neurons by Roxin, Alex, Riecke, Hermann, Solla, Sara A

“…We study the dynamics of excitable integrate-and-fire neurons in a small-world network. At low densities p of directed random connections, a localized…”
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Collapse of loaded fractal trees by Turcotte, D. L, Smalley, R. F, Solla, Sara A

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Learning in linear neural networks : the validity of the annealed approximation by SOLLA, S. A, LEVIN, E

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Identification of multiple-input systems with highly coupled inputs: application to EMG prediction from multiple intracortical electrodes by Westwick, David T, Pohlmeyer, Eric A, Solla, Sara A, Miller, Lee E, Perreault, Eric J

“…A robust identification algorithm has been developed for linear, time-invariant, multiple-input single-output systems, with an emphasis on how this algorithm…”
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Exact solution for on-line learning in multilayer neural networks by Saad, D, Solla, SA

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Modulation of Striatal Single Units by Expected Reward: A Spiny Neuron Model Displaying Dopamine-Induced Bistability by Gruber, Aaron J, Solla, Sara A, Surmeier, D. James, Houk, James C

“…1 Department of Biomedical Engineering, Northwestern University Medical School, Chicago, Illinois 60611 2 Department of Physiology, Northwestern University…”
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How do neurons look at the world? by Solla, Sara A

“…The answer, it turns out, depends crucially on the dimensionality of the encoded variable: a sharpening of the tuning curve (a decrease in its width) improves…”
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Optimal online learning : a Bayesian approach by SOLLA, S. A, WINTHER, O

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Monte Carlo studies of a Laplacian roughening model for two-dimensional melting by STRANDBURG, K. J, SOLLA, S. A, CHESTER, G. V

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Amplification in the auditory periphery: the effect of coupling tuning mechanisms by Montgomery, K. A, Silber, M, Solla, S. A

“…A mathematical model describing the coupling between two independent amplification mechanisms in auditory hair cells is proposed and analyzed. Hair cells are…”
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Optimal online learning: a Bayesian approach by Solla, Sara A., Winther, Ole

“…A recently proposed Bayesian approach to online learning is applied to learning a rule defined as a noisy single layer perceptron. In the Bayesian online…”
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Capacity control in linear classifiers for pattern recognition by Guyon, I., Vapnik, V., Boser, B., Bottou, L., Solla, S.A.

“…Achieving good performance in statistical pattern recognition requires matching the capacity of the classifier to the amount of training data. If the…”
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On-line learning in soft committee machines by Saad, D, Solla, SA

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