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ORCID26. ICANN 2017: Alghero, Italy
- Alessandra Lintas
, Stefano Rovetta, Paul F. M. J. Verschure, Alessandro E. P. Villa:
Artificial Neural Networks and Machine Learning - ICANN 2017 - 26th International Conference on Artificial Neural Networks, Alghero, Italy, September 11-14, 2017, Proceedings, Part I. Lecture Notes in Computer Science 10613, Springer 2017, ISBN 978-3-319-68599-1
From Perception to Action
- Marian Tietz, Tayfun Alpay, Johannes Twiefel, Stefan Wermter:
Semi-supervised Phoneme Recognition with Recurrent Ladder Networks. 3-10 - Shingo Murata, Wataru Masuda, Saki Tomioka, Tetsuya Ogata, Shigeki Sugano:
Mixing Actual and Predicted Sensory States Based on Uncertainty Estimation for Flexible and Robust Robot Behavior. 11-18 - Mohammad Hovaidi-Ardestani, Vittorio Caggiano, Martin A. Giese:
Neurodynamical Model for the Coupling of Action Perception and Execution. 19-26 - Matthias Kerzel, Stefan Wermter:
Neural End-to-End Self-learning of Visuomotor Skills by Environment Interaction. 27-34 - Tatsuro Yamada, Saki Ito, Hiroaki Arie, Tetsuya Ogata:
Learning of Labeling Room Space for Mobile Robots Based on Visual Motor Experience. 35-42 - Juan Camilo Vasquez Tieck, Heiko Donat, Jacques Kaiser, Igor Peric, Stefan Ulbrich, Arne Roennau, Johann Marius Zöllner, Rüdiger Dillmann:
Towards Grasping with Spiking Neural Networks for Anthropomorphic Robot Hands. 43-51 - Daisuke Temma, Yuko Osana:
Obstacle Avoidance by Profit Sharing Using Self-Organizing Map-Based Probabilistic Associative Memory. 52-59 - Davide Polese, Luca Pazzini, Ignacio Delgado-Martínez, Luca Maiolo, Xavier Navarro, Guglielmo Fortunato:
An Ultra-Compact Low-Powered Closed-Loop Device for Control of the Neuromuscular System. 60-67 - Sascha Fleer, Helge J. Ritter:
Comparing Action Sets: Mutual Information as a Measure of Control. 68-75 - Michaël Garcia Ortiz:
Sensorimotor Prediction with Neural Networks on Continuous Spaces. 76-83 - Pattreeya Tanisaro, Constantin Lehman, Leon René Sütfeld, Gordon Pipa, Gunther Heidemann:
Classifying Bio-Inspired Model of Point-Light Human Motion Using Echo State Networks. 84-91 - Xiaohong Li, Ru Cao, Jianye Hao, Zhiyong Feng:
A Prediction and Learning Based Approach to Network Selection in Dynamic Environments. 92-100 - Zdenek Straka, Matej Hoffmann:
Learning a Peripersonal Space Representation as a Visuo-Tactile Prediction Task. 101-109 - Matt Ross, Nareg Berberian, André Cyr, Frédéric Thériault, Sylvain Chartier:
Learning Distance-Behavioural Preferences Using a Single Sensor in a Spiking Neural Network. 110-118
From Neurons to Networks
- Filipa dos Santos, Peter Andras, K. P. Lam:
Towards an Accurate Identification of Pyloric Neuron Activity with VSDi. 121-128 - Jovana J. Belic, Arvind Kumar, Jeanette Hellgren Kotaleski:
Interactions in the Striatal Network with Different Oscillation Frequencies. 129-136 - Xiaomao Zhou, Cornelius Weber, Stefan Wermter:
Robot Localization and Orientation Detection Based on Place Cells and Head-Direction Cells. 137-145 - Can Eren Sezener, Erhan Öztop:
Algorithms for Obtaining Parsimonious Higher Order Neurons. 146-154 - Nobuhiro Hinakawa, Katsunori Kitano:
Robust and Adaptable Motor Command Representation with Sparse Coding. 155-162 - Takashi Sano, Yuuji Ichisugi:
Translation-Invariant Neural Responses as Variational Messages in a Bayesian Network Model. 163-170 - Wataru Furusho, Tadashi Yamazaki:
Implementation of Learning Mechanisms on a Cat-Scale Cerebellar Model and Its Simulation. 171-178 - Hongjie Liu, Antonio Rios-Navarro, Diederik Paul Moeys, Tobi Delbrück, Alejandro Linares-Barranco:
Neuromorphic Approach Sensitivity Cell Modeling and FPGA Implementation. 179-187
Brain Imaging
- Alessandra Lintas, Sarat Chandra Vysyaraju, Manon Jaquerod, Alessandro E. P. Villa:
Event Related Potentials Reveal Fairness in Willingness-to-share. 191-198 - Takashi Nishimoto, Yoshiki Azuma, Hiroshi Morioka, Shin Ishii:
Individual Identification by Resting-State EEG Using Common Dictionary Learning. 199-207 - Peng Chen, Jianhua Zhang:
Performance Comparison of Machine Learning Algorithms for EEG-Signal-Based Emotion Recognition. 208-216
Recurrent Neural Networks
- Christian Bauckhage:
A Neural Network Implementation of Frank-Wolfe Optimization. 219-226 - Sebastian Otte, Theresa Schmitt, Karl J. Friston, Martin V. Butz:
Inferring Adaptive Goal-Directed Behavior Within Recurrent Neural Networks. 227-235 - Madhavun Candadai Vasu, Eduardo J. Izquierdo:
Information Bottleneck in Control Tasks with Recurrent Spiking Neural Networks. 236-244 - Jérémie Cabessa, Ginette Horcholle-Bossavit, Brigitte Quenet:
Neural Computation with Spiking Neural Networks Composed of Synfire Rings. 245-253 - Pedro A. B. Gomes, Eduardo C. de Carvalho, Helder M. Arruda, Paulo A. de Souza, Gustavo Pessin:
Exploiting Recurrent Neural Networks in the Forecasting of Bees' Level of Activity. 254-261 - Sebastian Otte, Adrian Zwiener, Martin V. Butz:
Inherently Constraint-Aware Control of Many-Joint Robot Arms with Inverse Recurrent Models. 262-270
Neuromorphic Hardware
- Sourya Dey, Yinan Shao, Keith M. Chugg, Peter A. Beerel:
Accelerating Training of Deep Neural Networks via Sparse Edge Processing. 273-280 - Severin Sidler, Angeliki Pantazi, Stanislaw Wozniak, Yusuf Leblebici, Evangelos Eleftheriou:
Unsupervised Learning Using Phase-Change Synapses and Complementary Patterns. 281-288
Brain Topology and Dynamics
- Dmytro Velychko, Benjamin Knopp, Dominik Endres:
The Variational Coupled Gaussian Process Dynamical Model. 291-299 - Roseli Suzi Wedemann, Angel Ricardo Plastino:
q-Maximum Entropy Distributions and Memory Neural Networks. 300-308 - Martí Sánchez-Fibla, Giovanni Maffei, Paul F. M. J. Verschure:
Adaptively Learning Levels of Coordination from One's, Other's and Task Related Errors Through a Cerebellar Circuit: A Dual Cart-Pole Setup. 309-316 - Paolo Masulli, Alessandro E. P. Villa:
Weighted Clique Analysis Reveals Hierarchical Neuronal Network Dynamics. 317-325 - Xerxes D. Arsiwalla, Paul F. M. J. Verschure:
Why the Brain Might Operate Near the Edge of Criticality. 326-333 - Jérémie Cabessa, Alessandro E. P. Villa:
Interactive Control of Computational Power in a Model of the Basal Ganglia-Thalamocortical Circuit by a Supervised Attractor-Based Learning Procedure. 334-342
Synaptic Plasticity and Learning
- Melissa Johnson, Sylvain Chartier:
Model Derived Spike Time Dependent Plasticity. 345-353 - Yanis Bahroun, Andrea Soltoggio:
Online Representation Learning with Single and Multi-layer Hebbian Networks for Image Classification. 354-363 - Yanis Bahroun, Eugénie Hunsicker, Andrea Soltoggio:
Building Efficient Deep Hebbian Networks for Image Classification Tasks. 364-372 - Shuqiang Wang, Yanyan Shen, Wei Chen, Tengfei Xiao, Jinxing Hu:
Automatic Recognition of Mild Cognitive Impairment from MRI Images Using Expedited Convolutional Neural Networks. 373-380 - Ausra Saudargiene, Rokas Jackevicius, Bruce P. Graham:
Interplay of STDP and Dendritic Plasticity in a Hippocampal CA1 Pyramidal Neuron Model. 381-388 - Karim El-Laithy, Martin Bogdan:
Enhancements on the Modified Stochastic Synaptic Model: The Functional Heterogeneity. 389-396 - Bo Bekkouche, Patrick A. Shoemaker, Joseph Fabian, Elisa Rigosi, Steven D. Wiederman, David C. O'Carroll:
Multicompartment Simulations of NMDA Receptor Based Facilitation in an Insect Target Tracking Neuron. 397-404
Neural Networks Meet Natural and Environmental Sciences
- Francesco Camastra, Angelo Ciaramella, Antonino Staiano:
On the Estimation of Pollen Density on Non-target Lepidoptera Food Plant Leaves in Bt-Maize Exposure Models: Open Problems and Possible Neural Network-Based Solutions. 407-414
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