LEADER 08314nam 2200469 450 001 996483161803316 005 20230103080219.0 010 $a3-031-08443-8 035 $a(MiAaPQ)EBC7046584 035 $a(Au-PeEL)EBL7046584 035 $a(CKB)24267876300041 035 $a(PPN)263898245 035 $a(EXLCZ)9924267876300041 100 $a20230103d2022 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aComputational neuroscience $eThird Latin American Workshop, LAWCN 2021, Sao Luis do Maranhao, Brazil, December 8-10, 2021, revised selected papers /$fPaulo Roge?rio de Almeida Ribeiro [and three others] editors 210 1$aCham, Switzerland :$cSpringer,$d[2022] 210 4$d©2022 215 $a1 online resource (268 pages) 225 1 $aCommunications in computer and information science ;$v1519 311 08$aPrint version: Ribeiro, Paulo Rogério de Almeida Computational Neuroscience Cham : Springer International Publishing AG,c2022 9783031084423 320 $aIncludes bibliographical references and index. 327 $aIntro -- 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 -- 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. 327 $a3.6 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. 327 $a2.4 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 -- 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. 327 $a3.4 Comparison Between Clinical Recovery and ERD/ERS -- 4 Discussion -- References -- Resting-State Exaggerated Alpha Rhythm from Subthalamic Nucleus Discriminates Freezers from Non-freezers Phenotypes in Parkinson's Disease: Possible Association to Attentional Circuits -- 1 Introduction -- 2 Materials and Methods -- 2.1 Patients -- 2.2 Surgery -- 2.3 Signal Processing -- 2.4 Statistical Analysis -- 3 Results -- 4 Discussion -- References -- Effect of Hand Dominance When Decoding Motor Imagery Grasping Tasks -- 1 Introduction -- 2 Materials and Methods -- 2.1 Data Acquisition -- 2.2 Data Processing -- 2.3 Feature Extraction, Selection, and Classification -- 2.4 Experiments -- 3 Results and Discussion -- 3.1 Future Work -- 4 Summary and Conclusion -- References -- Kinematic Responses as a Control Strategy to Visual Occlusion -- 1 Introduction -- 2 Methods -- 2.1 Participants -- 2.2 Instruments and Task -- 2.3 Study Design -- 2.4 Data Analysis -- 2.5 Statistical Analysis -- 3 Results -- 4 Discussion -- 5 Conclusion -- References -- Author Index. 410 0$aCommunications in computer and information science ;$v1519. 606 $aComputational neuroscience 615 0$aComputational neuroscience. 676 $a612.8233 702 $aRibeiro$b Paulo Roge?rio de Almeida 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996483161803316 996 $aComputational neuroscience$91416401 997 $aUNISA LEADER 05203nam 22006615 450 001 9910357842703321 005 20251225200641.0 010 $a3-030-36636-7 024 7 $a10.1007/978-3-030-36636-0 035 $a(CKB)4100000009939695 035 $a(MiAaPQ)EBC5987287 035 $a(DE-He213)978-3-030-36636-0 035 $a(PPN)258060220 035 $a(EXLCZ)994100000009939695 100 $a20191128d2019 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aComputational Neuroscience $eSecond Latin American Workshop, LAWCN 2019, São João Del-Rei, Brazil, September 18?20, 2019, Proceedings /$fedited by Vinícius Rosa Cota, Dante Augusto Couto Barone, Diego Roberto Colombo Dias, Laila Cristina Moreira Damázio 205 $a1st ed. 2019. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2019. 215 $a1 online resource (289 pages) 225 1 $aCommunications in Computer and Information Science,$x1865-0937 ;$v1068 311 08$a3-030-36635-9 327 $aArtificial Intelligence, Machine Learning, and Related Topics -- Application of machine learning approaches to identify new anticonvulsant compounds active in the 6 Hz seizure model -- Motor Learning and Machine Learning: predicting the amount of sessions to learn the tracing task -- Kernel-spectral-clustering-driven motion segmentation: Rotating-objects first trials -- A New Granular Approach for Multivariate Forecasting -- Interactive analysis of the discussion from a virtual community on neuroscience -- Complex systems and complex Networks -- Influence of the contact network topology on the spread of tuberculosis -- Computational Neuroscience of Learning and Memory -- Association between fast and slow learning and molecular processes in repetitive practice: a post hoc analysis -- Reading Span Test for Brazilian Portuguese: An eye-tracking implementation -- Neural Signal Processing -- Multi-harmonic analysis using magnitude-squared coherence and its application to detection of auditory steady-state responses -- EEG Classification of Epileptic Patients Based on Signal Morphology -- Epileptiform spike detection in electroencephalographic recordings of epilepsy animal models using variable threshold -- Graph Model Evolution During Epileptic Seizures: linear model approach -- Software and Hardware Implementations in Neuroscience -- A parallel RatSlam C++ library implementation -- Method for the Improvement of Knee Kinematics Accuracy based on Kinect and Sensors: Preliminary Results -- Eye-tracking data analysis during cognitive task -- Brain-computer Interfaces and Neurostimulation -- Towards a roadmap for machine learning and EEG-based brain computer interface -- Considerations on the individualization of motor imagery Neurofeedback training -- The muscle-machine interface after stroke in improvement of hand extension: Case report -- Electrographic spectral signatures of animals submitted to pentylenetetrazole-induced seizures and treated with bilateral asynchronous non-periodic stimulation -- Seizure Prediction -- On the validity of using probing stimuli for seizure prediction in the Epileptor model. 330 $aThis book constitutes the thoroughly refereed proceedings of the Second International Workshop of Computational Neuroscience, held in São João Del-Rei, Brazil, in September 2019. The 17 full papers and 3 short papers presented have been thoroughly reviewed and selected from 45 submissions. The papers are organized in topical sections: artificial intelligence, machine learning, and related topics; complex systems and complex networks; computational neuroscience of learning and memory; neural signal processing; software and hardware implementations in neuroscience; brain-machine interfaces and neurostimulation; and seizure prediction. 410 0$aCommunications in Computer and Information Science,$x1865-0937 ;$v1068 606 $aArtificial intelligence 606 $aComputer vision 606 $aComputer systems 606 $aDatabase management 606 $aArtificial Intelligence 606 $aComputer Vision 606 $aComputer System Implementation 606 $aDatabase Management 615 0$aArtificial intelligence. 615 0$aComputer vision. 615 0$aComputer systems. 615 0$aDatabase management. 615 14$aArtificial Intelligence. 615 24$aComputer Vision. 615 24$aComputer System Implementation. 615 24$aDatabase Management. 676 $a006.3 676 $a006.3 702 $aCota$b Vinícius Rosa$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aBarone$b Dante Augusto Couto$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aDias$b Diego Roberto Colombo$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aDamázio$b Laila Cristina Moreira$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910357842703321 996 $aComputational neuroscience$91416401 997 $aUNINA