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Band 15541

Brain Informatics 17th International Conference, BI 2024, Bangkok, Thailand, December 13–15, 2024, Proceedings, Part I

Aus der Reihe Lecture Notes in Computer Science

78,99 €

inkl. gesetzl. MwSt., Versandkostenfrei

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

02.04.2025

Herausgeber

Sirawaj Itthipuripat + weitere

Verlag

Springer Singapore

Seitenzahl

467

Maße (L/B/H)

23,5/15,5/2,7 cm

Gewicht

733 g

Auflage

1. Auflage

Sprache

Englisch

ISBN

978-981-9632-93-0

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

02.04.2025

Herausgeber

Verlag

Springer Singapore

Seitenzahl

467

Maße (L/B/H)

23,5/15,5/2,7 cm

Gewicht

733 g

Auflage

1. Auflage

Sprache

Englisch

ISBN

978-981-9632-93-0

Herstelleradresse

Springer-Verlag GmbH
Tiergartenstr. 17
69121 Heidelberg
DE

Email: ProductSafety@springernature.com

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  • Produktbild: Brain Informatics
  • Produktbild: Brain Informatics

  • .- Cognitive and Computational Foundations of Brain Science.  

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    .- Comparison of Haloperidol- Versus Phenazepam-induced Anxiolytic Effect on Rodent Behavior.

    .- Effect of Temporal Correlation on Motion Direction Flips in Bistable Stimuli.

    .- Unveiling the Role of Memory in Shaping Visual Perception: Empirical Insights.

    .- An Auxiliary Diagnosis Method for Mild Cognitive Impairment Based on Structural Magnetic Resonance Image.

    .- The Role of Executive Functions in Emotional Coregulation: Insights from an Adaptive Network Model.

    .- Identification and Evaluation of Multimodal Connectomics in Early Alzheimer's Dementia.

    .- Investigations of Human Information Processing Systems. 

    .- Multiscale Temporal-convolution and Attention improved Neural Network for Biased Mental State Recognition.

    .- Sleep Apnea Detection from Single-lead ECG Signal using Hybrid Deep CNN.

    .- When Sexy Avatars Get Weird: How Brain Asymmetry and Oculomotor Dynamics Navigate the Uncanny.

    .- Developing a Multi-Site Hyperscanning Procedure for Investigating Interbrain Synchrony Underlying Remote Social Interaction.

    .- Dual-Structural Representation Learning with Attention-Based Graph Fusion for Hierarchical MCI-AD Diagnosis.

    .- Neurocomputational Modelling of EEG Connectivity: Links Between Depression, Inflammation, and Gut Microbiome.

    .- Brain Big Data Analytics, Curation and Management. 

    .- Design of an Iterative Method for Integrating Multi-Omic Data and Clinical Insights in Brain Disease Research.

    .- Multimodal Physiological Signal Analysis using Attention-Based Feature and Model Fusion.

    .- Topological and Graph Theoretical Analysis of Dynamic Functional Connectivity for Autism Spectrum Disorder.

    .- Deep Learning Methods to Evaluate Privacy and Quality of Skull-Stripped Brain Image.

    .- Topological Inference for Seizure Lateralization.

    .- Explainable GRU with Hybrid Attention and Memory-Augmented Network (xGRAM) for Cell Types Classification in Alzheimer's Disease Using Single-Nucleus Transcriptomics.

    .- BRAINEX: A Systematic Framework for CNN Models Evaluation and XAI Methods Comparison in Brain Age Prediction.

    .- Replication of the Hermann Grid Illusion By U-Net Deep Learning Architecture Performing Deblurring: A Low-Level Visual Task.

    .- SmartStitcher: A Terabyte-level 3D Microscopic Image Stitching Tool Based on Mixed-Max-Resolution.

    .- Informatics Paradigms for Brain and Mental Health Research. 

    .- A Comparison of ANN-Optimization and Logistic Regression? – An Example of the Acceptance of EEG Devices.

    .- The Dynamics of Epigenetic Influence in Insomnia: A Higher-Order Adaptive Modeling Perspective.

    .- Higher-order Adaptive Dynamical System Modeling for the Role of Environmental Neurotoxic Pesticide Paraquat on the Epigenetics of Neurodegeneration in N27 Dopaminergic Cells.

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    .- Empirical Insights into the Value of a Novel Compositional Data Approach for Analyzing Bipolar Likert Scale Data.

    .- From Alzheimer’s Disease to Frontotemporal Dementia: Transfer Learning in EEG-based Diagnosis of Dementia.

    .- Brain-Machine Intelligence and Brain-Inspired Computing. 

    .- A Novel Class Incremental Learning Method via Multi-granularity Balance Inspired by Human Granular Cognition Mechanism.

    .- A Computational Model for Estimating NMDA Properties from Local Field Potential Spectra.

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    .- Evaluating the Potential of Low-Cost BCI Devices for Online Classification of Four-Class Motor Imagery States.

    .- Gradient Ascent Activity-based Credit Assignment with History-dependent Reward.

    .- EEG Biomarkers based on Microstates and RQA.

    .- Evaluating Feature Importance in the Context of Simulation-Based Inference for Cortical Circuit Parameter Estimation.