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Artificial Neural Networks and Machine Learning – ICANN 2016

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Cover of 'Artificial Neural Networks and Machine Learning – ICANN 2016'

Table of Contents

  1. Altmetric Badge
    Book Overview
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    Chapter 1 Improved Chaotic Multidirectional Associative Memory
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    Chapter 2 Effect of Pre- and Postsynaptic Firing Patterns on Synaptic Competition
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    Chapter 3 Asymmetries in Synaptic Connections and the Nonlinear Fokker-Planck Formalism
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    Chapter 4 Synaptogenesis: Constraining Synaptic Plasticity Based on a Distance Rule
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    Chapter 5 A Sensor Fusion Horse Gait Classification by a Spiking Neural Network on SpiNNaker
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    Chapter 6 Multilayer Spiking Neural Network for Audio Samples Classification Using SpiNNaker
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    Chapter 7 Input-Modulation as an Alternative to Conventional Learning Strategies
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    Chapter 8 A Potential Mechanism for Spontaneous Oscillatory Activity in the Degenerative Mouse Retina
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    Chapter 9 Striatal Processing of Cortical Neuronal Avalanches – A Computational Investigation
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    Chapter 10 Mapping the Language Connectome in Healthy Subjects and Brain Tumor Patients
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    Chapter 11 Method for Estimating Neural Network Topology Based on SPIKE-Distance
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    Chapter 12 Dynamics of Evolving Feed-Forward Neural Networks and Their Topological Invariants
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    Chapter 13 Scaling Properties of Human Brain Functional Networks
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    Chapter 14 Attractor Dynamics Driven by Interactivity in Boolean Recurrent Neural Networks
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    Chapter 15 Training Bidirectional Recurrent Neural Network Architectures with the Scaled Conjugate Gradient Algorithm
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    Chapter 16 Learning Multiple Timescales in Recurrent Neural Networks
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    Chapter 17 Investigating Recurrent Neural Networks for Feature-Less Computational Drug Design
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    Chapter 18 Inverse Recurrent Models – An Application Scenario for Many-Joint Robot Arm Control
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    Chapter 19 Population Coding of Goal Directed Movements
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    Chapter 20 Body Model Transition by Tool Grasping During Motor Babbling Using Deep Learning and RNN
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    Chapter 21 Centering Versus Scaling for Hubness Reduction
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    Chapter 22 High Integrated Information in Complex Networks Near Criticality
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    Chapter 23 Comparison of Graph Node Distances on Clustering Tasks
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    Chapter 24 Influence of Saliency and Social Impairments on the Development of Intention Recognition
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    Chapter 25 A System-Level Model of Noradrenergic Function
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    Chapter 26 Phenomenological Model for the Adapatation of Shape-Selective Neurons in Area IT
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    Chapter 27 Deliberation-Aware Responder in Multi-proposer Ultimatum Game
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    Chapter 28 From Cognitive to Habit Behavior During Navigation, Through Cortical-Basal Ganglia Loops
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    Chapter 29 Fast and Slow Learning in a Neuro-Computational Model of Category Acquisition
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    Chapter 30 Realizing Medium Spiny Neurons with a Simple Neuron Model
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    Chapter 31 Multi-item Working Memory Capacity: What Is the Role of the Stimulation Protocol?
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    Chapter 32 Plasticity in the Granular Layer Enhances Motor Learning in a Computational Model of the Cerebellum
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    Chapter 33 How Is Scene Recognition in a Convolutional Network Related to that in the Human Visual System?
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    Chapter 34 Hybrid Trajectory Decoding from ECoG Signals for Asynchronous BCIs
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    Chapter 35 Dimensionality Reduction Effect Analysis of EEG Signals in Cross-Correlation Classifiers Performance
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    Chapter 36 EEG-driven RNN Classification for Prognosis of Neurodegeneration in At-Risk Patients
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    Chapter 37 Competition Between Cortical Ensembles Explains Pitch-Related Dynamics of Auditory Evoked Fields
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    Chapter 38 Dynamics of Reward Based Decision Making: A Computational Study
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    Chapter 39 Adaptive Proposer for Ultimatum Game
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    Chapter 40 Dynamical Linking of Positive and Negative Sentences to Goal-Oriented Robot Behavior by Hierarchical RNN
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    Chapter 41 Real-Time FPGA Simulation of Surrogate Models of Large Spiking Networks
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    Chapter 42 Randomly Spiking Dynamic Neural Fields Driven by a Shared Random Flow
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    Chapter 43 Synfire Chain Emulation by Means of Flexible SNN Modeling on a SIMD Multicore Architecture
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    Chapter 44 Towards Adjustable Signal Generation with Photonic Reservoir Computers
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    Chapter 45 Hierarchical Networks-on-Chip Interconnect for Astrocyte-Neuron Network Hardware
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    Chapter 46 Restricted Boltzmann Machines Without Random Number Generators for Efficient Digital Hardware Implementation
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    Chapter 47 Compact Associative Memory for AER Spike Decoding in FPGA-Based Evolvable SNN Emulation
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    Chapter 48 Combining Spatial and Parametric Working Memory in a Dynamic Neural Field Model
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    Chapter 49 C4.5 or Naive Bayes: A Discriminative Model Selection Approach
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    Chapter 50 Adaptive Natural Gradient Learning Algorithms for Unnormalized Statistical Models
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    Chapter 51 Octonion-Valued Neural Networks
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    Chapter 52 Reducing Redundancy with Unit Merging for Self-constructive Normalized Gaussian Networks
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    Chapter 53 Learning to Enumerate
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    Chapter 54 Pattern Based on Temporal Inference
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    Chapter 55 Neural Networks Simulation of Distributed Control Problems with State and Control Constraints
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    Chapter 56 The Existence and the Stability of Weighted Pseudo Almost Periodic Solution of High-Order Hopfield Neural Network
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    Chapter 57 Sparse Extreme Learning Machine Classifier Using Empirical Feature Mapping
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    Chapter 58 Three Approaches to Train Echo State Network Actors of Adaptive Critic Design
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    Chapter 59 Increase of the Resistance to Noise in Data for Neural Network Solution of the Inverse Problem of Magnetotellurics with Group Determination of Parameters
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    Chapter 60 Convergence of Multi-pass Large Margin Nearest Neighbor Metric Learning
Attention for Chapter 5: A Sensor Fusion Horse Gait Classification by a Spiking Neural Network on SpiNNaker
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Summary
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Chapter title
A Sensor Fusion Horse Gait Classification by a Spiking Neural Network on SpiNNaker
Chapter number 5
Book title
Artificial Neural Networks and Machine Learning – ICANN 2016
Published in
Lecture notes in computer science, August 2016
DOI 10.1007/978-3-319-44778-0_5
Book ISBNs
978-3-31-944777-3, 978-3-31-944778-0
Authors

Antonio Rios-Navarro, Juan Pedro Dominguez-Morales, Ricardo Tapiador-Morales, Manuel Dominguez-Morales, Angel Jimenez-Fernandez, Alejandro Linares-Barranco

Editors

Alessandro E.P. Villa, Paolo Masulli, Antonio Javier Pons Rivero

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 36%
Other 2 9%
Researcher 2 9%
Professor > Associate Professor 2 9%
Student > Bachelor 1 5%
Other 2 9%
Unknown 5 23%
Readers by discipline Count As %
Computer Science 7 32%
Engineering 6 27%
Biochemistry, Genetics and Molecular Biology 1 5%
Philosophy 1 5%
Social Sciences 1 5%
Other 1 5%
Unknown 5 23%

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