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ORCID22. ICANN 2012: Lausanne, Switzerland
- Alessandro E. P. Villa
, Wlodzislaw Duch, Péter Érdi, Francesco Masulli, Günther Palm:
Artificial Neural Networks and Machine Learning - ICANN 2012 - 22nd International Conference on Artificial Neural Networks, Lausanne, Switzerland, September 11-14, 2012, Proceedings, Part I. Lecture Notes in Computer Science 7552, Springer 2012, ISBN 978-3-642-33268-5
Theoretical Neural Computation (A3)
- Claire Gerrard, John A. W. McCall, George Macleod Coghill, Christopher MacLeod:
Temporal Patterns in Artificial Reaction Networks. 1-8 - Iakov M. Karandashev, Boris Kryzhanovsky, Leonid B. Litinskii:
Properties of the Hopfield Model with Weighted Patterns. 9-16 - Farouk Chérif:
Dynamics and Oscillations of GHNNs with Time-Varying Delay. 17-24 - Boris Durán, Yulia Sandamirskaya, Gregor Schöner:
A Dynamic Field Architecture for the Generation of Hierarchically Organized Sequences. 25-32
Information and Optimization (C1)
- Michal Matuszak, Jacek Miekisz:
Stochastic Techniques in Influence Diagrams for Learning Bayesian Network Structure. 33-40 - Iakov M. Karandashev, Boris Kryzhanovsky:
The Mix-Matrix Method in the Problem of Binary Quadratic Optimization. 41-48 - James Austin, Stephen Hobson, Nathan Burles, Simon O'Keefe:
A Rule Chaining Architecture Using a Correlation Matrix Memory. 49-56 - Davide Bacciu, Alessio Micheli, Alessandro Sperduti:
A Generative Multiset Kernel for Structured Data. 57-64 - Rafal Zdunek:
Spectral Signal Unmixing with Interior-Point Nonnegative Matrix Factorization. 65-72 - Dan Wang, Donghong Ji, Wei Huang:
Hybrid Optimized Polynomial Neural Networks with Polynomial Neurons and Fuzzy Polynomial Neurons. 73-80 - KyungHyun Cho, Alexander Ilin, Tapani Raiko:
Tikhonov-Type Regularization for Restricted Boltzmann Machines. 81-88
From Neurons to Neuromorphism (A1)
- Richard Wood, Ian C. Bruce, Peter Mascher:
Modeling of Spiking Analog Neural Circuits with Hebbian Learning, Using Amorphous Semiconductor Thin Film Transistors with Silicon Oxide Nitride Semiconductor Split Gates. 89-96 - Marcel Beuler, Aubin Tchaptchet, Werner Bonath, Svetlana Postnova, Hans Albert Braun:
Real-Time Simulations of Synchronization in a Conductance-Based Neuronal Network with a Digital FPGA Hardware-Core. 97-104 - Anand Singh, Pierre J. Magistretti, Bruno Weber, Renaud Jolivet:
Impact of Frequency on the Energetic Efficiency of Action Potentials. 105-112 - Kit Cheung, Simon R. Schultz, Wayne Luk:
A Large-Scale Spiking Neural Network Accelerator for FPGA Systems. 113-120 - Swadesh Choudhary, Steven Sloan, Sam Fok, Alexander Neckar, Eric Trautmann, Peiran Gao, Terry C. Stewart, Chris Eliasmith, Kwabena Boahen:
Silicon Neurons That Compute. 121-128 - Andres Gaona Barrera, Juan-Manuel Moreno Aróstegui:
A Communication Infrastructure for Emulating Large-Scale Neural Networks Models. 129-136
Spiking Dynamics (B2)
- Nooraini Yusoff, André Grüning, Scott V. Notley:
Pair-Associate Learning with Modulated Spike-Time Dependent Plasticity. 137-144 - Everton J. Agnes, Rubem Erichsen Jr., Leonardo Gregory Brunnet:
Associative Memory in Neuronal Networks of Spiking Neurons: Architecture and Storage Analysis. 145-152 - Shota Kirikawa, Takashi Ogawa, Toshimichi Saito:
Bifurcating Neurons with Filtered Base Signals. 153-160 - Narutoshi Horimoto, Takashi Ogawa, Toshimichi Saito:
Basic Analysis of Digital Spike Maps. 161-168
From Single Neurons to Networks (C2)
- Jörn Hoffmann, Frank Güttler, Karim El-Laithy, Martin Bogdan:
Cyfield-RISP: Generating Dynamic Instruction Set Processors for Reconfigurable Hardware Using OpenCL. 169-176 - Cem Yucelgen, Berat Denizdurduran, Selin Metin, Rahmi Elibol, Neslihan Serap Sengör:
A Biophysical Network Model Displaying the Role of Basal Ganglia Pathways in Action Selection. 177-184 - Adam R. Tomkins, Mark D. Humphries, Christian Beste, Eleni Vasilaki, Kevin N. Gurney:
How Degrading Networks Can Increase Cognitive Functions. 185-192 - Eleni Vasilaki, Michele Giugliano:
Emergence of Connectivity Patterns from Long-Term and Short-Term Plasticities. 193-200 - Andrés Pérez-Uribe, Héctor F. Satizábal:
Artificial Neural Networks and Data Compression Statistics for the Discrimination of Cultured Neuronal Activity. 201-208 - Dimitri Probst, Wolfgang Maass, Henry Markram, Marc-Oliver Gewaltig:
Liquid Computing in a Simplified Model of Cortical Layer IV: Learning to Balance a Ball. 209-216 - Angel A. Caputi:
Timing Self-generated Actions for Sensory Streaming. 217-222 - Yuta Ishida, Masato Yonekawa, Hiroaki Kurokawa:
The Capacity and the Versatility of the Pulse Coupled Neural Network in the Image Matching. 223-230 - Takashi Matsubara, Hiroyuki Torikai:
A Novel Bifurcation-Based Synthesis of Asynchronous Cellular Automaton Based Neuron. 231-238 - Jorge Dávila-Chacón, Stefan Heinrich, Jindong Liu, Stefan Wermter:
Biomimetic Binaural Sound Source Localisation with Ego-Noise Cancellation. 239-246 - Daiki Futagi, Katsunori Kitano:
A Biologically Realizable Bayesian Computation in a Cortical Neural Network. 247-254
Complex Firing Patterns (B5)
- Panagiotis Ioannou, Matthew Casey, André Grüning:
Evaluating the Effect of Spiking Network Parameters on Polychronization. 255-263 - Ioana Sporea, André Grüning:
Classification of Distorted Patterns by Feed-Forward Spiking Neural Networks. 264-271 - Yoshiyuki Asai, Alessandro E. P. Villa:
Spike Transmission on Diverging/Converging Neural Network and Its Implementation on a Multilevel Modeling Platform. 272-279 - Nanyi Cui, Jiaying Tang, Simon R. Schultz:
Differential Entropy of Multivariate Neural Spike Trains. 280-287
Movement and Motion (B7)
- Georg Layher, Martin A. Giese, Heiko Neumann:
Learning Representations for Animated Motion Sequence and Implied Motion Recognition. 288-295 - Denis Sheynikhovich, Félix Grèzes, Jean-Rémi King, Angelo Arleo:
Exploratory Behaviour Depends on Multisensory Integration during Spatial Learning. 296-303 - Asiya M. Al-Busaidi, Riadh Zaier, Amer S. Al-Yahmadi:
Control of Biped Robot Joints' Angles Using Coordinated Matsuoka Oscillators. 304-312 - Georg R. Müller, Jörg Conradt:
Self-calibrating Marker Tracking in 3D with Event-Based Vision Sensors. 313-321 - Beata J. Grzyb, Vicente Castelló, Marco Antonelli, Angel Pasqual del Pobil:
Integration of Static and Self-motion-Based Depth Cues for Efficient Reaching and Locomotor Actions. 322-329 - Nardenio Almeida Martins, Maycol de Alencar, Warody C. Lombardi, Douglas Bertol, Edson R. de Pieri, Humberto Filho:
A Proposed Neural Control for the Trajectory Tracking of a Nonholonomic Mobile Robot with Disturbances. 330-338
From Sensation to Perception (B8)
- Kendi Muchungi, Matthew Casey:
Simulating Light Adaptation in the Retina with Rod-Cone Coupling. 339-346 - Hyungu Yim, DaeEun Kim:
Evolving Neural Networks for Orientation Behavior of Sand Scorpions towards Prey. 347-354 - Giseli de Sousa, Reinoud Maex, Rod Adams, Neil Davey, Volker Steuber:
Evolving Dendritic Morphology and Parameters in Biologically Realistic Model Neurons for Pattern Recognition. 355-362 - Isabella Silks:
Neural Network Providing Integrative Perception of Features and Subsecond Temporal Parameters of Sensory Stimuli. 363-370 - Vladyslav V. Shaposhnyk, Alessandro E. P. Villa:
An Effect of Short and Long Reciprocal Projections on Evolution of Hierarchical Neural Networks. 371-378 - Roseli Suzi Wedemann, Luís Alfredo V. de Carvalho:
Some Things Psychopathologies Can Tell Us about Consciousness. 379-386
Object and Face Recognition (B1)
- Yasuomi D. Sato, Yasutaka Kuriya:
Elastic Graph Matching on Gabor Feature Representation at Low Image Resolution. 387-394 - George Azzopardi, Nicolai Petkov:
Contour Detection by CORF Operator. 395-402 - Nils Meins, Stefan Wermter, Cornelius Weber:
Hybrid Ensembles Using Hopfield Neural Networks and Haar-Like Features for Face Detection. 403-410 - Manuel Günther, Dennis Haufe, Rolf P. Würtz:
Face Recognition with Disparity Corrected Gabor Phase Differences. 411-418 - Masayasu Atsumi:
Visual Categorization Based on Learning Contextual Probabilistic Latent Component Tree. 419-426 - João da Silva Gomes, Roman Borisyuk:
Biological Brain and Binary Code: Quality of Coding for Face Recognition. 427-434
Reinforcement Learning (B4)
- Klaus Häming, Gabriele Peters:
Making a Reinforcement Learning Agent Believe. 435-442 - Jaldert O. Rombouts, Arjen van Ooyen, Pieter R. Roelfsema, Sander M. Bohté:
Biologically Plausible Multi-dimensional Reinforcement Learning in Neural Networks. 443-450 - Timo Nachstedt, Florentin Wörgötter, Poramate Manoonpong:
Adaptive Neural Oscillator with Synaptic Plasticity Enabling Fast Resonance Tuning. 451-458 - Jenia Jitsev, Nobi Abraham, Abigail Morrison, Marc Tittgemeyer:
Learning from Delayed Reward und Punishment in a Spiking Neural Network Model of Basal Ganglia with Opposing D1/D2 Plasticity. 459-466 - Pragathi Priyadharsini Balasubramani, Balaraman Ravindran, V. Srinivasa Chakravarthy:
Understanding the Role of Serotonin in Basal Ganglia through a Unified Model. 467-473 - Berat Denizdurduran, Neslihan Serap Sengör:
Learning How to Select an Action: A Computational Model. 474-481
Bayesian and Echo State Networks (A4)
- Gadi Pinkas, Priscila M. V. Lima, Shimon Cohen:
A Dynamic Binding Mechanism for Retrieving and Unifying Complex Predicate-Logic Knowledge. 482-490 - Tatsuya Tashiro, Shohei Shimizu, Aapo Hyvärinen, Takashi Washio:
Estimation of Causal Orders in a Linear Non-Gaussian Acyclic Model: A Method Robust against Latent Confounders. 491-498 - Danil Koryakin, Martin V. Butz:
Reservoir Sizes and Feedback Weights Interact Non-linearly in Echo State Networks. 499-506 - Rikke Amilde Løvlid:
Learning to Imitate YMCA with an ESN. 507-514 - Atsushi Hara, Yoichi Hayashi:
A New Neural Data Analysis Approach Using Ensemble Neural Network Rule Extraction. 515-522 - Xue-Xin Wei, Alan A. Stocker:
Bayesian Inference with Efficient Neural Population Codes. 523-530
Recurrent Neural Networks and Reservoir Computing (C3)
- Justin Bayer, Christian Osendorfer, Patrick van der Smagt:
Learning Sequence Neighbourhood Metrics. 531-538 - Junpei Zhong, Cornelius Weber, Stefan Wermter:
Learning Features and Predictive Transformation Encoding Based on a Horizontal Product Model. 539-546 - Simon Brodeur, Jean Rouat:
Regulation toward Self-organized Criticality in a Recurrent Spiking Neural Reservoir. 547-554 - Stefan Heinrich, Cornelius Weber, Stefan Wermter:
Adaptive Learning of Linguistic Hierarchy in a Multiple Timescale Recurrent Neural Network. 555-562 - Gen Niina, Hiroshi Dozono:
The Spherical Hidden Markov Self Organizing Map for Learning Time Series Data. 563-570 - Petia D. Koprinkova-Hristova, Nikolay Tontchev:
Echo State Networks for Multi-dimensional Data Clustering. 571-578 - Michael Berger, Christian Faubel, Joseph Norman, Howard S. Hock, Gregor Schöner:
The Counter-Change Model of Motion Perception: An Account Based on Dynamic Field Theory. 579-586 - Mantas Lukosevicius:
Self-organized Reservoirs and Their Hierarchies. 587-595 - Xavier Hinaut, Peter F. Dominey:
On-Line Processing of Grammatical Structure Using Reservoir Computing. 596-603 - Stefan Schliebs, Maurizio Fiasché, Nikola K. Kasabov:
Constructing Robust Liquid State Machines to Process Highly Variable Data Streams. 604-611
Coding Architectures (B3)
- Michiel Hermans, Benjamin Schrauwen:
Infinite Sparse Threshold Unit Networks. 612-619 - Hannes Schulz, Sven Behnke:
Learning Two-Layer Contractive Encodings. 620-628 - Fionntán O'Donnell, Fabian Triefenbach, Jean-Pierre Martens, Benjamin Schrauwen:
Effects of Architecture Choices on Sparse Coding in Speech Recognition. 629-636 - Christian Vollmer, Julian Eggert, Horst-Michael Groß:
Generating Motion Trajectories by Sparse Activation of Learned Motion Primitives. 637-644
Interacting with the Brain (B6)
- Basabdatta Sen Bhattacharya, Damien Coyle, Liam P. Maguire, Jill Stewart:
Kinetic Modelling of Synaptic Functions in the Alpha Rhythm Neural Mass Model. 645-652 - Maurizio Fiasché, Stefan Schliebs, Lino Nobili:
Integrating Neural Networks and Chaotic Measurements for Modelling Epileptic Brain. 653-660 - Hannes Verschore, Pieter-Jan Kindermans, David Verstraeten, Benjamin Schrauwen:
Dynamic Stopping Improves the Speed and Accuracy of a P300 Speller. 661-668 - Martin Spüler, Wolfgang Rosenstiel, Martin Bogdan:
Adaptive SVM-Based Classification Increases Performance of a MEG-Based Brain-Computer Interface (BCI). 669-676 - Michael Glodek, Georg Layher, Friedhelm Schwenker, Günther Palm:
Recognizing Human Activities Using a Layered Markov Architecture. 677-684
Swarm Intelligence and Decision-Making (A7)
- Anderson Tenório Sergio, Teresa Bernarda Ludermir:
PSO for Reservoir Computing Optimization. 685-692 - George G. Cabral, Adriano L. I. Oliveira:
One-Class Classification through Optimized Feature Boundaries Detection and Prototype Reduction. 693-700 - Laura Emmanuella A. Santana, Anne M. P. Canuto:
Bi-objective Genetic Algorithm for Feature Selection in Ensemble Systems. 701-709 - Felipe Ramírez, Héctor Allende:
Dual Support Vector Domain Description for Imbalanced Classification. 710-717 - Maikel León, Lusine Mkrtchyan, Benoît Depaire, Da Ruan, Rafael Bello, Koen Vanhoof:
Learning Method Inspired on Swarm Intelligence for Fuzzy Cognitive Maps: Travel Behaviour Modelling. 718-725 - Yuuji Ichisugi:
A Computational Model of Motor Areas Based on Bayesian Networks and Most Probable Explanations. 726-733
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