Ribeiro / de Oliveira / Cota | Computational Neuroscience | Buch | 978-3-031-08442-3 | sack.de

Buch, Englisch, Band 1519, 263 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 429 g

Reihe: Communications in Computer and Information Science

Ribeiro / de Oliveira / Cota

Computational Neuroscience

Third Latin American Workshop, LAWCN 2021, São Luís, Brazil, December 8-10, 2021, Revised Selected Papers
1. Auflage 2022
ISBN: 978-3-031-08442-3
Verlag: Springer International Publishing

Third Latin American Workshop, LAWCN 2021, São Luís, Brazil, December 8-10, 2021, Revised Selected Papers

Buch, Englisch, Band 1519, 263 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 429 g

Reihe: Communications in Computer and Information Science

ISBN: 978-3-031-08442-3
Verlag: Springer International Publishing


This book constitutes the refereed proceedings of the Third Latin American Workshop, LAWCN 2021, held in Sao Luis do Maranhao, Brazil, during December 8–10, 2021.

The 13 full papers and 3 short papers included in this book were carefully reviewed and selected from 27 submissions. They were organized in topical sections as follows: Interdisciplinary applications of Artificial Intelligence (AI) and Machine Learning (ML); AI and ML applied to robotics; AI and ML applied to biomedical sciences; Health issues and computational neuroscience; Software and hardware implementations in neuroscience; and Neuroengineering – science and technology.

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Weitere Infos & Material


Interdisciplinary applications of Artificial Intelligence (AI) and Machine Learning (ML).- Semantic segmentation of the cultivated area of plantations with U-net.- Use and Interpretation of Item Response Theory applied to Machine Learning.- AI and ML applied to robotics.- Towards Loop Closure Detection for SLAM Applications using Bag of Visual Features: Experiments and Simulation.- Loss Function Regularisation on the Iterated Racing Procedure for Automatic Tuning of RatSLAM Parameters.- Controlling the UR3 robotic arm using a leap motion: a comparative study.- AI and ML applied to biomedical sciences.- Web service based epileptic seizure detection by applying machine learning techniques.- Health issues and computational neuroscience.- Machine Learning Search of Novel Selective NaV1.2 and NaV1.6 Inhibitors as Potential Treatment against Dravet Syndrome.- Implementation of intra and extracellular nonperiodic scale-free stimulation in silico for the NEURON simulator.- In silico investigation of the effects of distinct temporal patterns of electrical stimulation to the amygdala using a network of Izhikevich neurons.- Software and hardware implementations in neuroscience.- Brain connectivity measures in EEG-based biometry for epilepsy patients.- A multiplatform output stage for the development of current-fixed electrical stimulators applied to neural electrophysiology.- Neuroengineering – science and technology.- Physiological self-regulation using biofeedback training: from concept to clinical applicability.- Movement-Related Electroencephalography in Stroke Patients across a Brain-Computer Interface-based Intervention.- Electrophysiological Correlates of Freeze of Gait in Parkinson Disease: Increased STN-LFP Alpha Power and the Possible Role of Attentional Circuits.- Effect of hand dominance when decoding motor imagery grasping tasks within the same hand.- Kinematic responses as a control strategy to visual occlusion.



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