- Stephen Grossberg, Mitsuo Kawato, John G. Taylor:
**Editorial for 2002: A Time of Exuberant Development.**1-

**Neural Networks referees in 2001.**3-4

- Manuel G. Velarde, Vladimir I. Nekorkin, Viktor B. Kazantsev, Vladimir I. Makarenko, Rodolfo R. Llinás:
**Modeling inferior olive neuron dynamics.**5-10

- Paulo J. G. Lisboa:
**A review of evidence of health benefit from artificial neural networks in medical intervention.**11-39

- Hiroyuki Nakahara, Shun-ichi Amari:
**Attention modulation of neural tuning through peak and base rate in correlated firing.**41-55

- David A. Sprecher, Sorin Draghici:
**Space-filling curves and Kolmogorov superposition-based neural networks.**57-67

- Gee-Hyuk Lee, Nabil H. Farhat:
**The Bifurcating Neuron Network 2: an analog associative memory.**69-84

- Simone Fiori:
**Hybrid independent component analysis by adaptive LUT activation function neurons.**85-94

- Jigen Peng, Hong Qiao, Zong-Ben Xu:
**A new approach to stability of neural networks with time-varying delays.**95-103

- Yongqiang Cao, Jianhong Wu:
**Projective ART for clustering data sets in high dimensional spaces.**105-120

- Seungjin Choi, Andrzej Cichocki, Shun-ichi Amari:
**Equivariant nonstationary source separation.**121-130

- Billur Barshan, Birsel Ayrulu:
**Fractional Fourier transform pre-processing for neural networks and its application to object recognition.**131-140

- Wolfgang Maass, Henry Markram:
**Synapses as dynamic memory buffers.**155-161

- Joost C. Dessing, Daniel Bullock, C. (Lieke) E. Peper, Peter J. Beek:
**Prospective control of manual interceptive actions: comparative simulations of extant and new model constructs.**163-179

- Stephen Grossberg, Alexander Grunewald:
**Temporal dynamics of binocular disparity processing with corticogeniculate interactions.**181-200

- Tadashi Yamazaki:
**A mathematical analysis of the development of oriented receptive fields in Linsker's model.**201-207

- Elia Biganzoli, Patrizia Boracchi, Ettore Marubini:
**A general framework for neural network models on censored survival data.**209-218

- Kai Keng Ang, Hiok Chai Quek, Abdul Wahab:
**MCMAC-CVT: a novel on-line associative memory based CVT transmission control system.**219-236

- Raphaël Feraud, Fabrice Clérot:
**A methodology to explain neural network classification.**237-246

- Sukumar Chakraborty, Kuhu Pal, Nikhil R. Pal:
**A neuro-fuzzy framework for inferencing.**247-261

- Stephen A. Billings, Kian L. Lee:
**Nonlinear Fisher discriminant analysis using a minimum squared error cost function and the orthogonal least squares algorithm.**263-270

- Mikio Hasegawa, Tohru Ikeguchi, Kazuyuki Aihara:
**Solving large scale traveling salesman problems by chaotic neurodynamics.**271-283

- Xijin Ge, Shuichi Iwata:
**Learning the parts of objects by auto-association.**285-295

- Amir Karniel:
**Three creatures named 'forward model'.**305-307

- John G. Taylor, M. Rogers:
**A control model of the movement of attention.**309-326

- Gopalasamy Athithan:
**A local and neurobiologically plausible method of learning correlated patterns.**327-335

- Jiann-Ming Wu, Zheng-Han Lin:
**Learning generative models of natural images.**337-347

- Masashi Sugiyama, Hidemitsu Ogawa:
**Optimal design of regularization term and regularization parameter by subspace information criterion.**349-361

- Pedro M. Talaván, Javier Yáñez:
**Parameter setting of the Hopfield network applied to TSP.**363-373

- Richard Stuart Neville, S. Eldridge:
**Transformations of sigma-pi nets: obtaining reflected functions by reflecting weight matrices.**375-393

- Sorin Draghici:
**On the capabilities of neural networks using limited precision weights.**395-414

- Lin Wang, Xingfu Zou:
**Exponential stability of Cohen-Grossberg neural networks.**415-422

- Ke Chen, DeLiang L. Wang:
**A dynamically coupled neural oscillator network for image segmentation.**423-439

- Chuangyin Dang, Liping He, Ip Kee Hui:
**A deterministic annealing algorithm for approximating a solution of the max-bisection problem.**441-458

- B. Yegnanarayana, S. P. Kishore:
**AANN: an alternative to GMM for pattern recognition.**459-469

- Kenji Doya, Peter Dayan, Michael E. Hasselmo:
**Introduction for 2002 Special Issue: Computational Models of Neuromodulation.**475-477

- Eve Marder, Vatsala Thirumalai:
**Cellular, synaptic and network effects of neuromodulation.**479-493

- Kenji Doya:
**Metalearning and neuromodulation.**495-506

- John N. J. Reynolds, Jeffery R. Wickens:
**Dopamine-dependent plasticity of corticostriatal synapses.**507-521

- Roland E. Suri:
**TD models of reward predictive responses in dopamine neurons.**523-533

- Daphna Joel, Yael Niv, Eytan Ruppin:
**Actor-critic models of the basal ganglia: new anatomical and computational perspectives.**535-547

- Sham Kakade, Peter Dayan:
**Dopamine: generalization and bonuses.**549-559

- Daniel Durstewitz, Jeremy K. Seamans:
**The computational role of dopamine D1 receptors in working memory.**561-572

- Shoji Tanaka:
**Dopamine controls fundamental cognitive operations of multi-target spatial working memory.**573-582

- Jean-Claude Dreher, Yves Burnod:
**An integrative theory of the phasic and tonic modes of dopamine modulation in the prefrontal cortex.**583-602

- Nathaniel D. Daw, Sham Kakade, Peter Dayan:
**Opponent interactions between serotonin and dopamine.**603-616

- Rudolf N. Cardinal, Nathaniel Daw, Trevor W. Robbins, Barry J. Everitt:
**Local analysis of behaviour in the adjusting-delay task for assessing choice of delayed reinforcement.**617-634

- Marius Usher, Eddy J. Davelaar:
**Neuromodulation of decision and response selection.**635-645

- Mark S. Gilzenrat, Benjamin D. Holmes, Janusz Rajkowski, Gary Aston-Jones, Jonathan D. Cohen:
**Simplified dynamics in a model of noradrenergic modulation of cognitive performance.**647-663

- Shin Ishii, Wako Yoshida, Junichiro Yoshimoto:
**Control of exploitation-exploration meta-parameter in reinforcement learning.**665-687

- Michael E. Hasselmo, Jonathan Hay, Maxim Ilyn, Anatoli Gorchetchnikov:
**Neuromodulation, theta rhythm and rat spatial navigation.**689-707

- Christiane Linster, Thomas A. Cleland:
**Cholinergic modulation of sensory representations in the olfactory bulb.**709-717

- Angela J. Yu, Peter Dayan:
**Acetylcholine in cortical inference.**719-730

- Yasushi Kobayashi, Tadashi Isa:
**Sensory-motor gating and cognitive control by the brainstem cholinergic system.**731-741

- Noboru Murata, Motoaki Kawanabe, Andreas Ziehe, Klaus-Robert Müller, Shun-ichi Amari:
**On-line learning in changing environments with applications in supervised and unsupervised learning.**743-760

- Olaf Sporns, William H. Alexander:
**Neuromodulation and plasticity in an autonomous robot.**761-774

- Tony Vladusich, Jack Broerse:
**Color constancy and the functional significance of McCollough effects.**775-809

- Xiaoxing Wang, Jesse S. Jin, Marwan A. Jabri:
**Neural network models for the gaze shift system in the superior colliculus and cerebellum.**811-832

- Iku Nemoto, Kei Saito:
**A complex-valued version of Nagumo-Sato model of a single neuron and its behavior.**833-853

- Xiaofeng Liao, Guanrong Chen, Edgar N. Sanchez:
**Delay-dependent exponential stability analysis of delayed neural networks: an LMI approach.**855-866

- Yuming Chen:
**Global stability of neural networks with distributed delays.**867-871

- Ch. Godin, M. B. Gordon, J. D. Muller:
**SpikeCell: a deterministic spiking neuron.**873-879

- Roelof K. Brouwer:
**A feed-forward network for input that is both categorical and quantitative.**881-890

- Chris Christodoulou, Guido Bugmann, Trevor G. Clarkson:
**A spiking neuron model: applications and learning.**891-908

- Ren Jie Kuo, P. C. Wu, C. P. Wang:
**An intelligent sales forecasting system through integration of artificial neural networks and fuzzy neural networks with fuzzy weight elimination.**909-925

**Abstracts for: 15/9-10.**937-942

- Nigel M. Allinson, Hujun Yin, Klaus Obermayer:
**Introduction: new developments in self-organising maps.**943-

- Teuvo Kohonen, Panu Somervuo:
**How to make large self-organizing maps for nonvectorial data.**945-952

- Janne Nikkilä, Petri Törönen, Samuel Kaski, Jarkko Venna, Eero Castrén, Garry Wong:
**Analysis and visualization of gene expression data using Self-Organizing Maps.**953-966

- Eric de Bodt, Marie Cottrell, Michel Verleysen:
**Statistical tools to assess the reliability of self-organizing maps.**967-978

- Thomas Voegtlin:
**Recursive self-organizing maps.**979-991

- John Aldo Lee, Michel Verleysen:
**Self-organizing maps with recursive neighborhood adaptation.**993-1003

- Hujun Yin:
**Data visualisation and manifold mapping using the ViSOM.**1005-1016

- Michaël Aupetit, Pierre Couturier, Pierre Massotte:
**gamma-Observable neighbours for vector quantization.**1017-1027

- Marc M. Van Hulle:
**Kernel-based topographic map formation achieved with an information-theoretic approach.**1029-1039

- Stephen Marsland, Jonathan Shapiro, Ulrich Nehmzow:
**A self-organising network that grows when required.**1041-1058

- Barbara Hammer, Thomas Villmann:
**Generalized relevance learning vector quantization.**1059-1068

- José Carlos Príncipe, Neil R. Euliano, Shayan Garani:
**Principles and networks for self-organization in space-time.**1069-1083

- Michel Haritopoulos, Hujun Yin, Nigel M. Allinson:
**Image denoising using self-organizing map-based nonlinear independent component analysis.**1085-1098

- Daniel Pullwitt:
**Integrating contextual information to enhance SOM-based text document clustering.**1099-1106

- Andrew James Smith:
**Applications of the self-organising map to reinforcement learning.**1107-1124

- Lei Xu:
**BYY harmony learning, structural RPCL, and topological self-organizing on mixture models.**1125-1151

- Mukund Balasubramanian, Jonathan Polimeni, Eric L. Schwartz:
**The V1-V2-V3 complex: quasiconformal dipole maps in primate striate and extra-striate cortex.**1157-1163

- Shigeru Shinomoto, Keisetsu Shima, Jun Tanji:
**New classification scheme of cortical sites with the neuronal spiking characteristics.**1165-1169

- Motoharu Yoshida, Hatsuo Hayashi, Katsumi Tateno, Satoru Ishizuka:
**Stochastic resonance in the hippocampal CA3-CA1 model: a possible memory recall mechanism.**1171-1183

- Pierre Courrieu:
**Straight monotonic embedding of data sets in Euclidean spaces.**1185-1196

- Hugues Bersini, Pierre Sener:
**The connections between the frustrated chaos and the intermittency chaos in small Hopfield networks.**1197-1204

- Georgios C. Anagnostopoulos, Michael Georgiopoulos:
**Category regions as new geometrical concepts in Fuzzy-ART and Fuzzy-ARTMAP.**1205-1221

- Naonori Ueda, Zoubin Ghahramani:
**Bayesian model search for mixture models based on optimizing variational bounds.**1223-1241

- Patrick C. McGuire, Henrik Bohr, John W. Clark, Robert Haschke, Chris L. Pershing, Johann Rafelski:
**Threshold disorder as a source of diverse and complex behavior in random nets.**1243-1258

- Nicolás García-Pedrajas, César Hervás-Martínez, José Muñoz-Pérez:
**Multi-objective cooperative coevolution of artificial neural networks (multi-objective cooperative networks).**1259-1278

- Kazumi Saito, Ryohei Nakano:
**Extracting regression rules from neural networks.**1279-1288

- Pallapa Venkataram, Sudip Ghosal, B. P. Vijay Kumar:
**Neural network based optimal routing algorithm for communication networks.**1289-1298

- Changyin Sun:
**A comment on "Global stability analysis in delayed Hopfield neural network models".**1299-1300

- Jiye Zhang:
**A comment on "Global stability analysis in delayed Hopfield neural network models".**1301-