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ORCID25. ICANN 2016: Barcelona, Spain
- Alessandro E. P. Villa
, Paolo Masulli, Antonio Javier Pons Rivero:
Artificial Neural Networks and Machine Learning - ICANN 2016 - 25th International Conference on Artificial Neural Networks, Barcelona, Spain, September 6-9, 2016, Proceedings, Part I. Lecture Notes in Computer Science 9886, Springer 2016, ISBN 978-3-319-44777-3
From Neurons to Networks
- Hiroki Sato, Yuko Osana:
Improved Chaotic Multidirectional Associative Memory. 3-10 - Nobuhiro Hinakawa, Katsunori Kitano:
Effect of Pre- and Postsynaptic Firing Patterns on Synaptic Competition. 11-18 - Roseli Suzi Wedemann, Angel Ricardo Plastino:
Asymmetries in Synaptic Connections and the Nonlinear Fokker-Planck Formalism. 19-27 - Jordi-Ysard Puigbo, Joeri B. G. van Wijngaarden, Sock Ching Low, Paul F. M. J. Verschure:
Synaptogenesis: Constraining Synaptic Plasticity Based on a Distance Rule. 28-35 - Antonio Rios-Navarro, Juan Pedro Dominguez-Morales, Ricardo Tapiador-Morales, Manuel Jesus Domínguez-Morales, Angel Jiménez-Fernandez, Alejandro Linares-Barranco:
A Sensor Fusion Horse Gait Classification by a Spiking Neural Network on SpiNNaker. 36-44 - Juan Pedro Dominguez-Morales, Angel Jiménez-Fernandez, Antonio Rios-Navarro, Elena Cerezuela-Escudero, Daniel Gutierrez-Galan, Manuel Jesus Domínguez-Morales, Gabriel Jiménez-Moreno:
Multilayer Spiking Neural Network for Audio Samples Classification Using SpiNNaker. 45-53 - Esin Yavuz, Thomas Nowotny:
Input-Modulation as an Alternative to Conventional Learning Strategies. 54-62 - Kanako Taniguchi, Chieko Koike, Katsunori Kitano:
A Potential Mechanism for Spontaneous Oscillatory Activity in the Degenerative Mouse Retina. 63-71 - Jovana J. Belic, Jeanette Hellgren Kotaleski:
Striatal Processing of Cortical Neuronal Avalanches - A Computational Investigation. 72-79
Networks and Dynamics
- Gregory Zegarek, Xerxes D. Arsiwalla, David Dalmazzo, Paul F. M. J. Verschure:
Mapping the Language Connectome in Healthy Subjects and Brain Tumor Patients. 83-90 - Kaori Kuroda, Mikio Hasegawa:
Method for Estimating Neural Network Topology Based on SPIKE-Distance. 91-98 - Paolo Masulli, Alessandro E. P. Villa:
Dynamics of Evolving Feed-Forward Neural Networks and Their Topological Invariants. 99-106 - Riccardo Zucca, Xerxes D. Arsiwalla, Hoang Le, Mikail Rubinov, Paul F. M. J. Verschure:
Scaling Properties of Human Brain Functional Networks. 107-114 - Jérémie Cabessa, Alessandro E. P. Villa:
Attractor Dynamics Driven by Interactivity in Boolean Recurrent Neural Networks. 115-122 - Michalis Agathocleous, Chris Christodoulou, Vasilis J. Promponas, Petros Kountouris, Vassilis Vassiliades:
Training Bidirectional Recurrent Neural Network Architectures with the Scaled Conjugate Gradient Algorithm. 123-131 - Tayfun Alpay, Stefan Heinrich, Stefan Wermter:
Learning Multiple Timescales in Recurrent Neural Networks. 132-139 - Alexander Dörr, Sebastian Otte, Andreas Zell:
Investigating Recurrent Neural Networks for Feature-Less Computational Drug Design. 140-148 - Sebastian Otte, Adrian Zwiener, Richard Hanten, Andreas Zell:
Inverse Recurrent Models - An Application Scenario for Many-Joint Robot Arm Control. 149-157 - Andreas G. Fleischer:
Population Coding of Goal Directed Movements. 158-165 - Kuniyuki Takahashi, Hadi Tjandra, Tetsuya Ogata, Shigeki Sugano:
Body Model Transition by Tool Grasping During Motor Babbling Using Deep Learning and RNN. 166-174 - Roman Feldbauer, Arthur Flexer:
Centering Versus Scaling for Hubness Reduction. 175-183 - Xerxes D. Arsiwalla, Paul F. M. J. Verschure:
High Integrated Information in Complex Networks Near Criticality. 184-191 - Felix Sommer, François Fouss, Marco Saerens:
Comparison of Graph Node Distances on Clustering Tasks. 192-201
Higher Nervous Functions
- Laura Cohen, Aude Billard:
Influence of Saliency and Social Impairments on the Development of Intention Recognition. 205-213 - Maxime Carrere, Frédéric Alexandre:
A System-Level Model of Noradrenergic Function. 214-221 - Martin A. Giese, Pradeep Kuravi, Rufin Vogels:
Phenomenological Model for the Adapatation of Shape-Selective Neurons in Area IT. 222-229 - Marko Ruman, Frantisek Hula, Miroslav Kárný, Tatiana V. Guy:
Deliberation-Aware Responder in Multi-proposer Ultimatum Game. 230-237 - Jean-Paul Banquet, Souheil Hanoune, Philippe Gaussier, Mathias Quoy:
From Cognitive to Habit Behavior During Navigation, Through Cortical-Basal Ganglia Loops. 238-247 - Francesc Villagrasa, Javier Baladron, Fred H. Hamker:
Fast and Slow Learning in a Neuro-Computational Model of Category Acquisition. 248-255 - Sami Utku Çelikok, Neslihan Serap Sengör:
Realizing Medium Spiny Neurons with a Simple Neuron Model. 256-263 - Marta Balagué, Laura Dempere-Marco:
Multi-item Working Memory Capacity: What Is the Role of the Stimulation Protocol? 264-271 - Giovanni Maffei, Ivan Herreros, Martí Sánchez-Fibla, Paul F. M. J. Verschure:
Plasticity in the Granular Layer Enhances Motor Learning in a Computational Model of the Cerebellum. 272-279 - Sugandha Sharma, Bryan P. Tripp:
How Is Scene Recognition in a Convolutional Network Related to that in the Human Visual System? 280-287 - Marie-Caroline Schaeffer, Tetiana Aksenova:
Hybrid Trajectory Decoding from ECoG Signals for Asynchronous BCIs. 288-296 - Jefferson Tales Oliva, João Luís Garcia Rosa:
Dimensionality Reduction Effect Analysis of EEG Signals in Cross-Correlation Classifiers Performance. 297-305 - Giulio Ruffini, David Ibáñez, Marta Castellano, Stephen Dunne, Aureli Soria-Frisch:
EEG-driven RNN Classification for Prognosis of Neurodegeneration in At-Risk Patients. 306-313 - Alejandro Tabas, André Rupp, Emili Balaguer-Ballester:
Competition Between Cortical Ensembles Explains Pitch-Related Dynamics of Auditory Evoked Fields. 314-321 - Bhargav Teja Nallapu, Nicolas P. Rougier:
Dynamics of Reward Based Decision Making: A Computational Study. 322-329 - Frantisek Hula, Marko Ruman, Miroslav Kárný:
Adaptive Proposer for Ultimatum Game. 330-338 - Tatsuro Yamada, Shingo Murata, Hiroaki Arie, Tetsuya Ogata:
Dynamical Linking of Positive and Negative Sentences to Goal-Oriented Robot Behavior by Hierarchical RNN. 339-346
Neuronal Hardware
- Murphy Berzish, Chris Eliasmith, Bryan P. Tripp:
Real-Time FPGA Simulation of Surrogate Models of Large Spiking Networks. 349-356 - Benoît Chappet de Vangel, Bernard Girau:
Randomly Spiking Dynamic Neural Fields Driven by a Shared Random Flow. 357-364 - Mireya Zapata, Jordi Madrenas:
Synfire Chain Emulation by Means of Flexible SNN Modeling on a SIMD Multicore Architecture. 365-373 - Piotr Antonik, Michiel Hermans, Marc Haelterman, Serge Massar:
Towards Adjustable Signal Generation with Photonic Reservoir Computers. 374-381 - Junxiu Liu, Jim Harkin, Liam McDaid, George Martin:
Hierarchical Networks-on-Chip Interconnect for Astrocyte-Neuron Network Hardware. 382-390 - Sansei Hori, Takashi Morie, Hakaru Tamukoh:
Restricted Boltzmann Machines Without Random Number Generators for Efficient Digital Hardware Implementation. 391-398 - Mireya Zapata, Jordi Madrenas:
Compact Associative Memory for AER Spike Decoding in FPGA-Based Evolvable SNN Emulation. 399-407
Learning Foundations
- Weronika Wojtak, Stephen Coombes, Estela Bicho, Wolfram Erlhagen:
Combining Spatial and Parametric Working Memory in a Dynamic Neural Field Model. 411-418 - Lungan Zhang, Liangxiao Jiang, Chaoqun Li:
C4.5 or Naive Bayes: A Discriminative Model Selection Approach. 419-426 - Ryo Karakida, Masato Okada, Shun-ichi Amari:
Adaptive Natural Gradient Learning Algorithms for Unnormalized Statistical Models. 427-434 - Calin-Adrian Popa:
Octonion-Valued Neural Networks. 435-443 - Jana Backhus, Ichigaku Takigawa, Hideyuki Imai, Mineichi Kudo, Masanori Sugimoto:
Reducing Redundancy with Unit Merging for Self-constructive Normalized Gaussian Networks. 444-452 - Patrick Jörger, Yukino Baba, Hisashi Kashima:
Learning to Enumerate. 453-460 - Zeineb Neji, Mariem Ellouze, Lamia Hadrich Belguith:
Pattern Based on Temporal Inference. 461-467 - Tibor Kmet, Maria Kmetova:
Neural Networks Simulation of Distributed Control Problems with State and Control Constraints. 468-477 - Chaouki Aouiti, Mohammed Salah M'hamdi, Farouk Chérif:
The Existence and the Stability of Weighted Pseudo Almost Periodic Solution of High-Order Hopfield Neural Network. 478-485 - Takuya Kitamura:
Sparse Extreme Learning Machine Classifier Using Empirical Feature Mapping. 486-493 - Petia D. Koprinkova-Hristova:
Three Approaches to Train Echo State Network Actors of Adaptive Critic Design. 494-501 - Igor Isaev, Eugeny Obornev, Ivan Obornev, Mikhail Shimelevich, Sergey Dolenko:
Increase of the Resistance to Noise in Data for Neural Network Solution of the Inverse Problem of Magnetotellurics with Group Determination of Parameters. 502-509 - Christina Göpfert, Benjamin Paassen, Barbara Hammer:
Convergence of Multi-pass Large Margin Nearest Neighbor Metric Learning. 510-517
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