Artificial Neural Networks and Machine Learning – ICANN 2017

Table of Contents

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   Book Overview
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   Chapter 1 Semi-supervised Phoneme Recognition with Recurrent Ladder Networks
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   Chapter 2 Mixing Actual and Predicted Sensory States Based on Uncertainty Estimation for Flexible and Robust Robot Behavior
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   Chapter 3 Neurodynamical Model for the Coupling of Action Perception and Execution
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   Chapter 4 Neural End-to-End Self-learning of Visuomotor Skills by Environment Interaction
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   Chapter 5 Learning of Labeling Room Space for Mobile Robots Based on Visual Motor Experience
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   Chapter 6 Towards Grasping with Spiking Neural Networks for Anthropomorphic Robot Hands
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   Chapter 7 Obstacle Avoidance by Profit Sharing Using Self-Organizing Map-Based Probabilistic Associative Memory
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   Chapter 8 An Ultra-Compact Low-Powered Closed-Loop Device for Control of the Neuromuscular System
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    Chapter 9 Comparing Action Sets: Mutual Information as a Measure of Control
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    Chapter 10 Sensorimotor Prediction with Neural Networks on Continuous Spaces
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    Chapter 11 Classifying Bio-Inspired Model of Point-Light Human Motion Using Echo State Networks
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    Chapter 12 A Prediction and Learning Based Approach to Network Selection in Dynamic Environments
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    Chapter 13 Learning a Peripersonal Space Representation as a Visuo-Tactile Prediction Task
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    Chapter 14 Learning Distance-Behavioural Preferences Using a Single Sensor in a Spiking Neural Network
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    Chapter 15 Towards an Accurate Identification of Pyloric Neuron Activity with VSDi
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    Chapter 16 Interactions in the Striatal Network with Different Oscillation Frequencies
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    Chapter 17 Robot Localization and Orientation Detection Based on Place Cells and Head-Direction Cells
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    Chapter 18 Algorithms for Obtaining Parsimonious Higher Order Neurons
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    Chapter 19 Robust and Adaptable Motor Command Representation with Sparse Coding
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    Chapter 20 Translation-Invariant Neural Responses as Variational Messages in a Bayesian Network Model
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    Chapter 21 Implementation of Learning Mechanisms on a Cat-Scale Cerebellar Model and Its Simulation
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    Chapter 22 Neuromorphic Approach Sensitivity Cell Modeling and FPGA Implementation
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    Chapter 23 Event Related Potentials Reveal Fairness in Willingness-to-share
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    Chapter 24 Individual Identification by Resting-State EEG Using Common Dictionary Learning
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    Chapter 25 Performance Comparison of Machine Learning Algorithms for EEG-Signal-Based Emotion Recognition
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    Chapter 26 A Neural Network Implementation of Frank-Wolfe Optimization
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    Chapter 27 Inferring Adaptive Goal-Directed Behavior Within Recurrent Neural Networks
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    Chapter 28 Information Bottleneck in Control Tasks with Recurrent Spiking Neural Networks
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    Chapter 29 Neural Computation with Spiking Neural Networks Composed of Synfire Rings
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    Chapter 30 Exploiting Recurrent Neural Networks in the Forecasting of Bees’ Level of Activity
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    Chapter 31 Inherently Constraint-Aware Control of Many-Joint Robot Arms with Inverse Recurrent Models
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    Chapter 32 Accelerating Training of Deep Neural Networks via Sparse Edge Processing
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    Chapter 33 Unsupervised Learning Using Phase-Change Synapses and Complementary Patterns
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    Chapter 34 The Variational Coupled Gaussian Process Dynamical Model
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    Chapter 35 q-Maximum Entropy Distributions and Memory Neural Networks
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    Chapter 36 Adaptively Learning Levels of Coordination from One’s, Other’s and Task Related Errors Through a Cerebellar Circuit: A Dual Cart-Pole Setup
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    Chapter 37 Weighted Clique Analysis Reveals Hierarchical Neuronal Network Dynamics
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    Chapter 38 Why the Brain Might Operate Near the Edge of Criticality
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    Chapter 39 Interactive Control of Computational Power in a Model of the Basal Ganglia-Thalamocortical Circuit by a Supervised Attractor-Based Learning Procedure
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    Chapter 40 Model Derived Spike Time Dependent Plasticity
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    Chapter 41 Online Representation Learning with Single and Multi-layer Hebbian Networks for Image Classification
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    Chapter 42 Building Efficient Deep Hebbian Networks for Image Classification Tasks
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    Chapter 43 Automatic Recognition of Mild Cognitive Impairment from MRI Images Using Expedited Convolutional Neural Networks
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    Chapter 44 Interplay of STDP and Dendritic Plasticity in a Hippocampal CA1 Pyramidal Neuron Model
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    Chapter 45 Enhancements on the Modified Stochastic Synaptic Model: The Functional Heterogeneity
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    Chapter 46 Multicompartment Simulations of NMDA Receptor Based Facilitation in an Insect Target Tracking Neuron
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    Chapter 47 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