Journal: Neural Computation

Volume 10, Issue 6

1321 -- 1371Carl van Vreeswijk, Haim Sompolinsky. Chaotic Balanced State in a Model Of Cortical Circuits
1373 -- 1424Hagai Attias, Christoph E. Schreiner. Blind Source Separation and Deconvolution: the Dynamic Component Analysis Algorithm
1425 -- 1433Tom Heskes. Bias/Variance Decompositions for Likelihood-Based Estimators
1435 -- 1444Isao Higuchi, Shinto Eguchi. The Influence Function of Principal Component Analysis by Self-Organizing Rule
1445 -- 1454Tomaso Poggio, Federico Girosi. A Sparse Representation For Function Approximation
1455 -- 1480Federico Girosi. An Equivalence Between Sparse Approximation And Support Vector Machines
1481 -- 1505John Sum, Lai-Wan Chan, Andrew Chi-Sing Leung, Gilbert H. Young. Extended Kalman Filter-Based Pruning Method for Recurrent Neural Networks
1507 -- 1525Néstor Parga, Edmund T. Rolls. Transform Invariant Recognition by Association in a Recurrent Network
1527 -- 1546Toshio Aoyagi, Katsunori Kitano. Retrieval Dynamics in Oscillator Neural Networks
1547 -- 1566Ralf Opara, Florentin Wörgötter. A Fast And Robust Cluster Update Algorithm For Image Segmentation In Spin-Lattice Models Without Annealing - Visual Latencies Revisited
1567 -- 1586Terence D. Sanger. Probability Density Methods for Smooth Function Approximation and Learning in Populations of Tuned Spiking Neurons
1587 -- 1599Jari Häkkinen, Martin Lagerholm, Carsten Peterson, Bo Söderberg. A Potts Neuron Approach To Communication Routing