- Stephen Grossberg, Mitsuo Kawato, John G. Taylor:
**Another exciting year for the INNS/ENNS/JNNS journal!**1

- Simon M. Stringer, Edmund T. Rolls, Thomas P. Trappenberg:
**Self-organising continuous attractor networks with multiple activity packets, and the representation of space.**5-27

- R. J. C. Bosman, W. A. van Leeuwen, Bastian Wemmenhove:
**Combining Hebbian and reinforcement learning in a minibrain model.**29-36

- Kunihiko Fukushima:
**Neocognitron capable of incremental learning.**37-46

- Hongyong Zhao:
**Global asymptotic stability of Hopfield neural network involving distributed delays.**47-53

- Seiji Miyoshi, Hiro-Fumi Yanai, Masato Okada:
**Associative memory by recurrent neural networks with delay elements.**55-63

- Amit Bhaya, Eugenius Kaszkurewicz:
**Steepest descent with momentum for quadratic functions is a version of the conjugate gradient method.**65-71

- Zong-Ben Xu, Hong Qiao, Jigen Peng, Bo Zhang:
**A comparative study of two modeling approaches in neural networks.**73-85

- Jin Zhou, Zengrong Liu, Guanrong Chen:
**Dynamics of periodic delayed neural networks.**87-101

- Tomoyuki Kimoto, Masato Okada:
**Mixed states on neural network with structural learning.**103-112

- Vladimir Cherkassky, Yunqian Ma:
**Practical selection of SVM parameters and noise estimation for SVM regression.**113-126

- Athanassia Chalimourda, Bernhard Schölkopf, Alex J. Smola:
**Experimentally optimal v in support vector regression for different noise models and parameter settings.**127-141

- Brijnesh J. Jain, Fritz Wysotzki:
**Discrimination networks for maximum selection.**143-154

- Shigeaki Nishina, Mitsuo Kawato:
**A computational model of spatio-temporal dynamics in depth filling-in.**159-163

- Yasuhiro Tsubo, Takeshi Kaneko, Shigeru Shinomoto:
**Predicting spike timings of current-injected neurons.**165-173

- Paul Rodriguez, William B. Levy:
**Configural representations in transverse patterning with a hippocampal model.**175-190

- Manuel G. Velarde, Vladimir I. Nekorkin, Valeri A. Makarov, Vladimir I. Makarenko, Rodolfo R. Llinás:
**Clustering behavior in a three-layer system mimicking olivo-cerebellar dynamics.**191-203

- Si Wu, Shun-ichi Amari, Hiroyuki Nakahara:
**Information processing in a neuron ensemble with the multiplicative correlation structure.**205-214

- Kazuyuki Hara, Masato Okada:
**On-line learning through simple perceptron learning with a margin.**215-223

- Mykola Lysetskiy, Jacek M. Zurada:
**Bifurcating neuron: computation and learning.**225-232

- José M. Vegas, Pedro J. Zufiria:
**Generalized neural networks for spectral analysis: dynamics and Liapunov functions.**233-245

- Mirko Solazzi, Aurelio Uncini:
**Regularising neural networks using flexible multivariate activation function.**247-260

- Ezequiel López-Rubio, José Muñoz-Pérez, José Antonio Gómez-Ruiz:
**A principal components analysis self-organizing map.**261-270

- Chuangyin Dang, Yee Leung, Xing-bao Gao, Kai-zhou Chen:
**Neural networks for nonlinear and mixed complementarity problems and their applications.**271-283

- Zhenkun Gou, Colin Fyfe:
**A canonical correlation neural network for multicollinearity and functional data.**285-293

- Hiroyuki Miyamoto, Jun Morimoto, Kenji Doya, Mitsuo Kawato:
**Reinforcement learning with via-point representation.**299-305

- Siu Kang, Katsunori Kitano, Tomoki Fukai:
**Self-organized two-state membrane potential transitions in a network of realistically modeled cortical neurons.**307-312

- Anthony Robins, Simon McCallum:
**A robust method for distinguishing between learned and spurious attractors.**313-326

- Rytis Stanikunas, Henrikas Vaitkevicius, Janus J. Kulikowski:
**Investigation of color constancy with a neural network.**327-337

- Katsuki Katayama, Masataka Ando, Tsuyoshi Horiguchi:
**Models of MT and MST areas using wake-sleep algorithm.**339-351

- Yasuhiro Wada, Mitsuo Kawato:
**A via-point time optimization algorithm for complex sequential trajectory formation.**353-364

- Apostolos Georgakis, Constantine Kotropoulos, Alexandros Xafopoulos, Ioannis Pitas:
**Marginal median SOM for document organization and retrieval.**365-377

- Jinde Cao, Jun Wang:
**Absolute exponential stability of recurrent neural networks with Lipschitz-continuous activation functions and time delays.**379-390

- Jiye Zhang, Yoshihiro Suda, Takashi Iwasa:
**Absolutely exponential stability of a class of neural networks with unbounded delay.**391-397

- Jos Koetsier, Ying Han, Colin Fyfe:
**Twinned principal curves.**399-409

- Toshiro Kubota:
**Massively parallel networks for edge localization and contour integration-adaptable relaxation approach.**411-425

- Athanassios A. Argiriou, Ioannis Bellas-Velidis, Michaël Kummert, Philippe André:
**A neural network controller for hydronic heating systems of solar buildings.**427-440

- Victoria J. Hodge, Ken Lees, Jim Austin:
**A high performance k-NN approach using binary neural networks.**441-458

- Gökhan H. Bakir:
**Foundations of Wavelet Networks and Applications: S. Sitharama Iyengar, E. C. Cho, Vir V. Phoho; Chapman and Hall/CRC.**459

- Michael G. Paulin:
**Neural Engineering: Computation, Representation and Dynamics in Neurobiological Systems: Chris Eliasmith, Charles Anderson; MIT Press (December 2003), ISBN: 0262050714.**461-463

- Zhaozhi Zhang, Xiaomin Ma, Yixian Yang:
**Erratum to: Bounds on the number of hidden neurons in three-layer binary neural networks [Neural Networks 16 (7) 995-1002].**465

- Joshua W. Brown, Daniel Bullock, Stephen Grossberg:
**How laminar frontal cortex and basal ganglia circuits interact to control planned and reactive saccades.**471-510

- Stephen Grossberg, Krishna K. Govindarajan, Lonce L. Wyse, Michael A. Cohen:
**ARTSTREAM: a neural network model of auditory scene analysis and source segregation.**511-536

- Hongtao Lu, Fu-Lai Chung, Zhenya He:
**Some sufficient conditions for global exponential stability of delayed Hopfield neural networks.**537-544

- Xiaofeng Liao, Shaowen Li, Guanrong Chen:
**Bifurcation analysis on a two-neuron system with distributed delays in the frequency domain.**545-561

- Marco Loog, Robert P. W. Duin, Max A. Viergever:
**The MDF discrimination measure: Fisher in disguise.**563-566

- W. L. Tung, Hiok Chai Quek, P. Cheng:
**GenSo-EWS: a novel neural-fuzzy based early warning system for predicting bank failures.**567-587

- Liying Ma, Khashayar Khorasani:
**New training strategies for constructive neural networks with application to regression problems.**589-609

- Robert Shapley:
**A new view of the primary visual cortex.**615-623

- Edward M. Callaway:
**Feedforward, feedback and inhibitory connections in primate visual cortex.**625-632

- Diego Contreras:
**Electrophysiological classes of neocortical neurons.**633-646

- Thorsten Hansen, Heiko Neumann:
**A simple cell model with dominating opponent inhibition for robust image processing.**647-662

- Ryan J. Prenger, Michael C.-K. Wu, Stephen V. David, Jack L. Gallant:
**Nonlinear V1 responses to natural scenes revealed by neural network analysis.**663-679

- Heather J. Chisum, David Fitzpatrick:
**The contribution of vertical and horizontal connections to the receptive field center and surround in V1.**681-693

- Scott O. Murray, Paul R. Schrater, Daniel Kersten:
**Perceptual grouping and the interactions between visual cortical areas.**695-705

- Arash Yazdanbakhsh, Stephen Grossberg:
**Fast synchronization of perceptual grouping in laminar visual cortical circuits.**707-718

- Mauro Ursino, Giuseppe Emiliano La Cara:
**A model of contextual interactions and contour detection in primary visual cortex.**719-735

- Gregory Francis, Justin Ericson:
**Using afterimages to test neural mechanisms for perceptual filling-in.**737-752

- Ohad Ben-Shahar, Steven W. Zucker:
**Hue geometry and horizontal connections.**753-771

- Garrett T. Kenyon, Dan Hill, James Theiler, John S. George, David W. Marshak:
**A theory of the Benham Top based on center-surround interactions in the parvocellular pathway.**773-786

- Simon Hong, Stephen Grossberg:
**A neuromorphic model for achromatic and chromatic surface representation of natural images.**787-808

- Paul Sajda, Kyungim Baek:
**Integration of form and motion within a generative model of visual cortex.**809-821

- Misha Tsodyks, Yael Adini, Dov Sagi:
**Associative learning in early vision.**823-832

- Shimon Ullman, Evgeniy Bart:
**Recognition invariance obtained by extended and invariant features.**833-848

- Yariv Festman, Merav Ahissar:
**Attentional states and the degree of visual adaptation to gratings.**849-860

- Victor A. F. Lamme:
**Separate neural definitions of visual consciousness and visual attention; a case for phenomenal awareness.**861-872

- Linda J. Lanyon, Susan L. Denham:
**A model of active visual search with object-based attention guiding scan paths.**873-897

- Roman Borisyuk, Yakov B. Kazanovich:
**Oscillatory model of attention-guided object selection and novelty detection.**899-915

- Narihisa Matsumoto, Masato Okada:
**Impact of deviation from precise balance of spike-timing-dependent plasticity.**917-924

- Ryunosuke Nishimoto, Jun Tani:
**Learning to generate combinatorial action sequences utilizing the initial sensitivity of deterministic dynamical systems.**925-933

- Yutaka Sakaguchi, Mitsuo Takano:
**Reliability of internal prediction/estimation and its application. I. Adaptive action selection reflecting reliability of value function.**935-952

- Kenji Okajima:
**Binocular disparity encoding cells generated through an Infomax based learning algorithm.**953-962

- Francisco de Borja Rodríguez Ortiz, Ramón Huerta:
**Analysis of perfect mappings of the stimuli through neural temporal sequences.**963-973

- Masahiro Kimura, Kazumi Saito, Naonori Ueda:
**Modeling of growing networks with directional attachment and communities.**975-988

- Hrushikesh Narhar Mhaskar:
**When is approximation by Gaussian networks necessarily a linear process?**989-1001

- Youshen Xia, Gang Feng, Jun Wang:
**A recurrent neural network with exponential convergence for solving convex quadratic program and related linear piecewise equations.**1003-1015

- Mehbuba Rehim, Haijun Jiang, Zhidong Teng:
**Boundedness and stability for nonautonomous cellular neural networks with delay.**1017-1025

- Sabri Arik:
**An analysis of exponential stability of delayed neural networks with time varying delays.**1027-1031

- Masumi Ishikawa, Risto Miikkulainen, Helge Ritter: New developments in self-organizing systems. 1037
- Koji Wada, Koji Kurata, Masato Okada:
**Self-organization of globally continuous and locally distributed information representation.**1039-1049

- Xuelei Hu, Lei Xu:
**A comparative investigation on subspace dimension determination.**1051-1059

- Barbara Hammer, Alessio Micheli, Alessandro Sperduti, Marc Strickert:
**Recursive self-organizing network models.**1061-1085

- Jaakko Peltonen, Arto Klami, Samuel Kaski:
**Improved learning of Riemannian metrics for exploratory analysis.**1087-1100

- Shouji Sakamoto, Shigeko Seki, Youichi Kobuchi:
**Stability of generalized topographic mappings between cell layers through correlational learning.**1101-1107

- Shouji Sakamoto:
**Synaptic weight normalization effects for topographic mapping formation.**1109-1120

- Jorma Laaksonen, Markus Koskela, Erkki Oja:
**Class distributions on SOM surfaces for feature extraction and object retrieval.**1121-1133

- A. Kai Qin, Ponnuthurai N. Suganthan:
**Robust growing neural gas algorithm with application in cluster analysis.**1135-1148

- Marie Cottrell, Smaïl Ibbou, Patrick Letrémy:
**SOM-based algorithms for qualitative variables.**1149-1167

- Geoffroy Simon, Amaury Lendasse, Marie Cottrell, Jean-Claude Fort, Michel Verleysen:
**Double quantization of the regressor space for long-term time series prediction: method and proof of stability.**1169-1181

- Gabriela Polcicová, Peter Tiño:
**Making sense of sparse rating data in collaborative filtering via topographic organization of user preference patterns.**1183-1199

- Takahiro Hara, Akira Hirose:
**Plastic mine detecting radar system using complex-valued self-organizing map that deals with multiple-frequency interferometric images.**1201-1210

- Sambu Seo, Klaus Obermayer:
**Self-organizing maps and clustering methods for matrix data.**1211-1229

- Panu Somervuo:
**Online algorithm for the self-organizing map of symbol strings.**1231-1239

- Qing Ma, Kyoko Kanzaki, Yujie Zhang, Masaki Murata, Hitoshi Isahara:
**Self-organizing semantic maps and its application to word alignment in Japanese-Chinese parallel corpora.**1241-1253

- Richard T. Freeman, Hujun Yin:
**Adaptive topological tree structure for document organisation and visualisation.**1255-1271

- Jun Tani, Masato Ito, Yuuya Sugita:
**Self-organization of distributedly represented multiple behavior schemata in a mirror system: reviews of robot experiments using RNNPB.**1273-1289

- Rainer W. Paine, Jun Tani:
**Motor primitive and sequence self-organization in a hierarchical recurrent neural network.**1291-1309

- Junmei Zhu, Christoph von der Malsburg:
**Maplets for correspondence-based object recognition.**1311-1326

- Axel Wismüller, Frank Vietze, Johannes Behrends, Anke Meyer-Bäse, Maximilian F. Reiser, Helge Ritter:
**Fully automated biomedical image segmentation by self-organized model adaptation.**1327-1344

- Ping Li, Igor Farkas, Brian MacWhinney:
**Early lexical development in a self-organizing neural network.**1345-1362

- Shigeru Tanaka, Masanobu Miyashita, Jérôme Ribot:
**Roles of visual experience and intrinsic mechanism in the activity-dependent self-organization of orientation maps: theory and experiment.**1363-1375

- Jörg Lücke:
**Hierarchical self-organization of minicolumnar receptive fields.**1377-1389

- Junichiro Hirayama, Junichiro Yoshimoto, Shin Ishii:
**Bayesian representation learning in the cortex regulated by acetylcholine.**1391-1400

- Xiaofeng Liao, Chunguang Li, Kwok-Wo Wong:
**Criteria for exponential stability of Cohen-Grossberg neural networks.**1401-1414

- Haijun Jiang, Zhidong Teng:
**Global eponential stability of cellular neural networks with time-varying coefficients and delays.**1415-1425

- Roman Borisyuk, Frank Hoppensteadt:
**A theory of epineuronal memory.**1427-1436

- Stephen B. Furber, John Bainbridge, J. Mike Cumpstey, Steve Temple:
**Sparse distributed memory using**1437-1451*N*-of-*M*codes.

- Jun Nakanishi, Stefan Schaal:
**Feedback error learning and nonlinear adaptive control.**1453-1465

- Gavin C. Cawley, Nicola L. C. Talbot:
**Fast exact leave-one-out cross-validation of sparse least-squares support vector machines.**1467-1475

- Gang Leng, Girijesh Prasad, T. Martin McGinnity:
**An on-line algorithm for creating self-organizing fuzzy neural networks.**1477-1493