Advances in neurotechnology, electronics and informatics : revised selected papers from the 2nd International Congress on Neurotechnology, Electronics and Informatics (NEUROTECHNIX 2014), October 25-26, Rome, Italy

"This book is a timely report on current neurotechnology research. It presents a snapshot of the state of the art in the field, discusses current challenges and identifies new directions. The book includes a selection of extended and revised contributions presented at the 2nd International Congress on Neurotechnology, Electronics and Informatics (NEUROTECHNIX 2014), held October 25-26 in Rome, Italy. The chapters are varied: some report on novel theoretical methods for studying neuronal connectivity or neural system behaviour; others report on advanced technologies developed for similar purposes; while further contributions concern new engineering methods and technological tools supporting medical diagnosis and neurorehabilitation. All in all, this book provides graduate students, researchers and practitioners dealing with different aspects of neurotechnologies with a unified view of the field, thus fostering new ideas and research collaborations among groups from different disciplines"--Provided by publisher Preface 6 Organization 7 Congress Co-chairs 7 Area Co-chairs 7 Organizing Committee 7 Program Committee 8 Auxiliary Reviewers 10 Invited Speakers 10 Contents 11 1 From Biological to Numerical Experiments in Systemic Neuroscience: A Simulation Platform 13 Abstract 13 1 Introduction 14 2 Problem Position 15 3 System Description 16 4 Brainy-Bot Generic Functionality 20 5 Neuroscience Application 23 6 Case Study: Pavlovian Conditioning 25 7 Discussion 27 Acknowledgments 28 References 29 2 Physically-Based Simulation and Web Visualization of C. elegans Behavioural Experiments 30 Abstract 30 1 Introduction 30 1.1 The Si elegans Platform 31 2 Related Work 32 3 Physical Model 33 4 Visualization 35 5 Web Interaction 37 5.1 Defining the Experiment 37 5.2 Observing and Analysing the Results 38 6 Conclusions and Future Work 39 Acknowledgments 40 References 40 3 Si elegans: Modeling the C. elegans Nematode Nervous System Using High Performance FPGAS 41 Abstract 41 1 Introduction 42 2 Wireless Networks 43 3 FPGA Neural Network Background 44 3.1 Si elegans Overview 44 4 Small Scale Si elegans HNN 45 4.1 Hardware Layer 47 4.2 Software Layer 48 5 Results 50 6 Conclusions and Future Work 53 Acknowledgments 54 References 54 4 Probabilistic Tractography Using Particle Filtering and Clustered Directional Data 56 Abstract 56 1 Introduction 56 2 Methods 59 2.1 Fiber Tracking Model 59 2.2 Clustered-vMFs Model 61 3 Experimental Results 63 3.1 Fiber Bundle Simulation 63 3.2 Human Brain Data Experiments 65 4 Implementation and Reproducible Research 69 5 Conclusions 69 References 69 5 Post-stroke Robotic Upper-Limb Telerehabilitation Using Serious Games to Increase Patient Motivation: First Results from ArmAssist System Clinical Trial 72 Abstract 72 1 Introduction 73 2 Games 75 2.1 Design Process 75 2.2 Requirements 75 2.3 Description of Games 76 2.3.1 General Features 76 2.3.2 Assessment Games 79 2.3.3 Training Games 81 3 Testing 82 4 Results 83 5 Conclusions 85 Acknowledgments 85 References 86 6 Comparison of Electro-Optical Strategies for Mimicking C. elegans Network Interconnectivity in Hardware 88 Abstract 88 1 Introduction 89 2 Concepts for a Biomimetic Connectome Emulation 90 2.1 Parallelized Signal Propagation Through Structured Light 90 2.2 Geometry and Layout Considerations 91 2.3 Photodiode and Power Requirements 92 2.4 The Axonal Output Module 93 3 Comparison of Different Synaptic Board and Projection Scheme Installation Scenarios 94 3.1 192033 Rack with Synaptic Boards Directly Plugged into Neural FPGA Boards 95 3.2 Separate Synaptic Frame in Front of 192033 FPGA Racks 96 3.3 Custom-Made Frame for the Arbitrary Positioning of Synaptic Boards Directly Plugged into Neural FPGA Boards 99 3.4 Synaptic/FPGA Board Integration 100 3.5 Selectable Electro-Optical Communication Through Bifunctional Synaptic Boards 101 4 DMD Projector Placement---Comparison of Different Installation Scenarios 102 4.1 Neural Output Module Combined with Synaptic Input Board 103 4.2 Separate DMD Rack Opposite to FPGA Rack with Synaptic Boards Attached to FPGA Neuron Boards 104 4.3 Separate DMD Rack Opposite to the FPGA Rack Projecting onto an Independent Synaptic Board Screen in Front of the FPGA Racks 105 5 Conclusions 106 Acknowledgments 106 References 106 7 Supervised EEG Ocular Artefact Correction Through Eye-Tracking 108 Abstract 108 1 Introduction 109 2 Methods 110 2.1 Experimental Setup 110 2.2 Analysis Methods 111 3 Independent Components Analysis 111 3.1 Wiener Filter 112 3.2 Wavelet Decomposition 113 4 Results 114 5 Discussion 118 Acknowledgments 120 References 120 8 An fMRI-Compatible System for 3DOF Motion Tracking of Objects in Haptic Motor Control Studies 123 Abstract 123 1 Introduction 123 2 Materials and Methods 125 2.1 Hardware Development 125 2.2 Calibration 127 2.3 Coordinate Systems 127 2.4 Testing the Motion Tracking Accuracy 128 3 Results 128 4 Conclusions 130 Acknowledgments 130 References 130 9 Comparing Methods for Decoding Movement Trajectory from ECoG in Chronic Stroke Patients 132 Abstract 132 1 Introduction 133 2 Methods 133 2.1 Canonical Correlation Analysis (CCA) 134 2.1.1 CCA and Linear Regression 134 2.1.2 CCA and Component Analysis 135 2.2 Data 136 2.2.1 Patient Description 136 2.2.2 Task Description 136 2.3 ECoG Data Processing and Feature Extraction 137 2.4 EMG Data Processing and Feature Extraction 138 2.5 Trajectory Prediction on ECoG Data 138 2.5.1 CCA to Predict Movement Components Based on ECoG Data 139 2.6 Trajectory Prediction on EMG Data 139 2.7 Performance Evaluation 140 3 Results 140 3.1 Performance of Trajectory Prediction 140 3.2 Interpretation of CCA Transformation Matrices 140 4 Discussion 143 Acknowledgments 145 References 145 10 Detection of Gait Initiation Through a ERD-Based Brain-Computer Interface 147 Abstract 147 1 Introduction 148 2 Materials and Methods 149 2.1 Test Description 149 2.2 Experimental Set-up 150 2.2.1 Brain-Machine Interface 150 2.2.2 Motion Capture System 151 2.3 Data Selection Procedure 152 2.4 Signal Processing 152 2.5 Features Extraction and Classifier 153 3 Results and Discussion 154 4 Conclusions and Future Works 155 Acknowledgments 156 References 156 Author Index 157 Front Matter....Pages i-xii From Biological to Numerical Experiments in Systemic Neuroscience: A Simulation Platform....Pages 1-17 Physically-Based Simulation and Web Visualization of C. elegans Behavioural Experiments....Pages 19-29 Si elegans: Modeling the C. elegans Nematode Nervous System Using High Performance FPGAS....Pages 31-45 Probabilistic Tractography Using Particle Filtering and Clustered Directional Data....Pages 47-62 Post-stroke Robotic Upper-Limb Telerehabilitation Using Serious Games to Increase Patient Motivation: First Results from ArmAssist System Clinical Trial....Pages 63-78 Comparison of Electro-Optical Strategies for Mimicking C. elegans Network Interconnectivity in Hardware....Pages 79-98 Supervised EEG Ocular Artefact Correction Through Eye-Tracking....Pages 99-113 An fMRI-Compatible System for 3DOF Motion Tracking of Objects in Haptic Motor Control Studies....Pages 115-123 Comparing Methods for Decoding Movement Trajectory from ECoG in Chronic Stroke Patients....Pages 125-139 Detection of Gait Initiation Through a ERD-Based Brain-Computer Interface....Pages 141-150 Back Matter....Pages 151-152