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[null,"1.","Record Nr.",null,"UNICAMPANIASUN0042132"]
[null,null,"Titolo",null,"Vouet : Galeries nationales du Grand palais, Paris, 6 novembre 1990-11 fevrier 1991 / [edite par] Jacques Thuillier, Barbara Brejon de Lavergnee, Denis Lavalle"]
[null,null,"Pubbl/distr/stampa",null,"549 p. : ill., in parte color. ; 31 cm"]
[null,null,"Edizione",null,"[Paris : Editions de la Reunion des musees nationaux]"]
[null,null,"Descrizione fisica",null,"Bibliografia, elenco delle esposizioni. - Catalogo della mostra."]
[null,null,"Lingua di pubblicazione",null,"Francese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,"2.","Record Nr.",null,"UNISA996483161803316"]
[null,null,"Titolo",null,"Computational neuroscience : Third Latin American Workshop, LAWCN 2021, Sao Luis do Maranhao, Brazil, December 8-10, 2021, revised selected papers / / Paulo Rogério de Almeida Ribeiro [and three others] editors"]
[null,null,"Pubbl/distr/stampa",null,"Cham, Switzerland : , : Springer, , [2022]"]
[{"$nulls":4},"©2022"]
[null,null,"ISBN",null,"3-031-08443-8"]
[null,null,"Descrizione fisica",null,"1 online resource (268 pages)"]
[null,null,"Collana",null,"Communications in computer and information science ; ; 1519"]
[null,null,"Disciplina",null,"612.8233"]
[null,null,"Soggetti",null,"Computational neuroscience"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"Intro -- Preface -- Organization -- Contents -- Interdisciplinary Applications of Artificial Intelligence (AI) and Machine Learning (ML) -- Semantic Segmentation of the Cultivated Area of Plantations with U-Net -- 1 Introduction -- 2 Related Works -- 3 Methodology -- 3.1 Building the Dataset -- 3.2 Preprocessing -- 3.3 Segmentation with U-Net Architecture -- 3.4 Hyperparameter Optimization -- 3.5 Performance Evaluation -- 4 Experiments and Results -- 4.1 Data Description -- 4.2 Hyperparameter Test -- 4.3 Segmentation of Plantation Areas -- 5 Conclusion -- References -- Use and Interpretation of Item Response Theory Applied to Machine Learning -- 1 Introduction -- 2 Item Response Theory -- 3 Methodology -- 3.1 Data -- 3.2 Experiment Design -- 4 Results and Discussion -- 4.1 Experiment 1 -- 4.2 Experiment 2 -- 5 Conclusion -- References -- AI and ML Applied to Robotics -- Towards Loop Closure Detection for SLAM Applications Using Bag of Visual Features: Experiments and Simulation -- 1 Introduction -- 2 Related Works -- 3 Proposed Approach -- 3.1 Bag of Visual Features -- 3.2 Multilayer Perceptron -- 4 Experimental Setup and Results -- 4.1 Experimental Setup -- 4.2 Results -- 4.3 Other Results -- 5 Discussion and Future Works -- References -- Loss Function Regularization on the Iterated Racing Procedure for Automatic Tuning of RatSLAM Parameters -- 1 Introduction -- 2 The RatSLAM Algorithm -- 2.1 RatSLAM Structure -- 2.2 RatSLAM Parameters -- 3 Improved Tuning Process -- 4 Experimental Setup -- 4.1 Environment Setup -- 4.2 irace Setup -- 5 Results -- 6 Discussion -- 7 Conclusion "]
[{"$nulls":4},"-- References -- Controlling the UR3 Robotic Arm Using a Leap Motion: A Comparative Study -- 1 Introduction -- 2 Related Works -- 3 Materials and Methods -- 3.1 Overview -- 3.2 Leap Motion -- 3.3 Experimental Scenarios -- 3.4 Experimental Procedure -- 3.5 Coded Control."]
[{"$nulls":4},"3.6 Open Control -- 4 Results -- 5 Conclusions -- References -- AI and ML Applied to Biomedical Sciences -- Web Service Based Epileptic Seizure Detection by Applying Machine Learning Techniques -- 1 Introduction -- 2 Methodology -- 2.1 Database -- 2.2 Preprocessing -- 2.3 Feature Extraction -- 2.4 Machine Learning -- 2.5 Web Service -- 3 Results -- 3.1 Model Optimization -- 3.2 Model Selection -- 3.3 Web Service -- 4 Conclusion -- References -- Health Issues and Computational Neuroscience -- Machine Learning Search of Novel Selective NaV1.2 and NaV1.6 Inhibitors as Potential Treatment Against Dravet Syndrome -- 1 Introduction -- 2 Methods -- 2.1 Dataset Collection, Curation, and Labeling -- 2.2 Dataset Partitioning into Training and Test Sets -- 2.3 Molecular Descriptor Calculation and Modeling Procedure -- 2.4 Ensemble Learning -- 2.5 Retrospective Screening -- 2.6 Use of Positive Predictive Value Surfaces to Choose a Score Threshold for the Prospective Screen -- 2.7 Prospective Virtual Screen -- 3 Results and Discussion -- 4 Conclusions -- References -- Implementation of Intra and Extracellular Nonperiodic Scale-Free Stimulation in silicofor the NEURON Simulator -- 1 Introduction -- 2 Methodology -- 2.1 Intracellular Stimulation Using Point-Processes -- 2.2 Extracellular Stimulation Using Field Propagation -- 2.3 Temporal-Patterned Stimuli -- 3 Results -- 3.1 Single Neuron Response to Intracellular Stimulation -- 3.2 Network Response to Extracellular Stimulation -- 4 Discussion and Conclusions -- References -- In silicoInvestigation of the Effects of Distinct Temporal Patterns of Electrical Stimulation to the Amygdala Using a Network of Izhikevich Neurons -- 1 Introduction -- 1.1 General -- 2 Methodology -- 2.1 Network of Izhikevich Neurons -- 2.2 Induction of Ictogenesis -- 2.3 Temporal-Patterned Stimuli."]
[{"$nulls":4},"2.4 Experimental Protocol and Assessment of Effects on Synchronization -- 2.5 Interspike Intervals (ISI) and Coefficient of Variation (CV) -- 3 Results -- 4 Discussion and Conclusions -- References -- Software and Hardware Implementations in Neuroscience -- Brain Connectivity Measures in EEG-Based Biometry for Epilepsy Patients: A Pilot Study -- 1 Introduction -- 2 Subjects, Materials and Methods -- 2.1 Data Acquisition and Pre-processing -- 2.2 Connectivity Measures -- 2.3 Classification -- 3 Results and Discussion -- 4 Conclusion -- References -- A Multiplatform Output Stage for the Development of Current-Fixed Electrical Stimulators Applied to Neural Electrophysiology -- 1 Introduction -- 2 Materials and Methods -- 2.1 Electronic Circuit Design -- 2.2 Circuit Tests -- 2.3 Circuit Assembly -- 3 Results -- 3.1 Positive and Negative Current Test -- 3.2 Polarity Test -- 3.3 Dead Time Test -- 4 Discussions and Conclusions -- References -- Neuroengineering - Science and Technology -- Physiological Self-regulation Using Biofeedback Training: From Concept to Clinical Applicability -- 1 Introduction -- 2 Principles of System Operation -- 2.1 Inputs -- 2.2 Features from Input Signals -- 3 Real-Time Signal Processing -- 4 Output Signals: Feedback Stimulation -- 5 Biofeedback Training Protocols -- 6 Underlying Mechanisms -- 7 Clinical Applicability of Biofeedback -- 8 Final Considerations -- References -- Movement-Related Electroencephalography in Stroke Patients Across a Brain-Computer Interface-Based Intervention -- 1 Introduction -- 2 Materials and Methods -- 2.1 Patients -- 2.2 Intervention -- 2.3 BCI System -- "]
[{"$nulls":4},"2.4 EEG Signal Acquisition -- 2.5 EEG Signal Processing -- 2.6 Statistical Analysis -- 3 Results -- 3.1 Patients' Clinical Assessment -- 3.2 ERD/ERS Brain Topographic Maps -- 3.3 ERD/ERS Comparisons."]
[{"$nulls":4},"3.4 Comparison Between Clinical Recovery and ERD/ERS -- 4 Discussion -- References -- Resting-State Exaggerated Alpha Rhythm from Subthalamic Nucleus Discriminates Freezers from Non-freezers Phenotypes in Parkinson's Disease: Possible Association to Attentional Circuits -- 1 Introduction -- 2 Materials and Methods -- 2.1 Patients -- 2.2 Surgery -- 2.3 Signal Processing -- 2.4 Statistical Analysis -- 3 Results -- 4 Discussion -- References -- Effect of Hand Dominance When Decoding Motor Imagery Grasping Tasks -- 1 Introduction -- 2 Materials and Methods -- 2.1 Data Acquisition -- 2.2 Data Processing -- 2.3 Feature Extraction, Selection, and Classification -- 2.4 Experiments -- 3 Results and Discussion -- 3.1 Future Work -- 4 Summary and Conclusion -- References -- Kinematic Responses as a Control Strategy to Visual Occlusion -- 1 Introduction -- 2 Methods -- 2.1 Participants -- 2.2 Instruments and Task -- 2.3 Study Design -- 2.4 Data Analysis -- 2.5 Statistical Analysis -- 3 Results -- 4 Discussion -- 5 Conclusion -- References -- Author Index."]