Journal: Neural Computation

Volume 14, Issue 7

1507 -- 1544Javier R. Movellan, Paul Mineiro, Ruth J. Williams. A Monte Carlo EM Approach for Partially Observable Diffusion Processes: Theory and Applications to Neural Networks
1545 -- 1560Miguel Á. Carreira-Perpiñán, Geoffrey J. Goodhill. Are Visual Cortex Maps Optimized for Coverage?
1561 -- 1573Marc M. Van Hulle. Kernel-Based Topographic Map Formation by Local Density Modeling
1575 -- 1597Relly Brandman, Mark E. Nelson. A Simple Model of Long-Term Spike Train Regularization
1599 -- 1628Naoki Masuda, Kazuyuki Aihara. Spatiotemporal Spike Encoding of a Continuous External Signal
1629 -- 1650Paul H. E. Tiesinga, Jean-Marc Fellous, Terrence J. Sejnowski. Attractor Reliability Reveals Deterministic Structure in Neuronal Spike Trains
1651 -- 1667Daniel Cremers, Andreas V. M. Herz. Traveling Waves of Excitation in Neural Field Models: Equivalence of Rate Descriptions and Integrate-and-Fire Dynamics
1669 -- 1689Richard H. R. Hahnloser, Rodney J. Douglas, Klaus Hepp. Attentional Recruitment of Inter-Areal Recurrent Networks for Selective Gain Control
1691 -- 1722Alan L. Yuille. CCCP Algorithms to Minimize the Bethe and Kikuchi Free Energies: Convergent Alternatives to Belief Propagation
1723 -- 1738Nicol N. Schraudolph. Fast Curvature Matrix-Vector Products for Second-Order Gradient Descent
1739 -- 1754Antony Browne. Representation and Extrapolation in Multilayer Perceptrons
1755 -- 1769Robert M. French, Nick Chater. Using Noise to Compute Error Surfaces in Connectionist Networks: A Novel Means of Reducing Catastrophic Forgetting