Description

Book Synopsis

.- AI for Brain Science.

.- Comparision of Brain Visual Cortex and CNN Under Continuous Object Property Space.

.- CoCoG-2: Controllable Generation of Visual Stimuli for Understanding Human Concept Representation.

.- Uncovering Cognitive Taskonomy Through Transfer Learning in Masked Autoencoder-based fMRI Reconstruction.

.- Interpersonal Relationship Analysis with Dyadic EEG Signals via Learning Spatial-Temporal Patterns.

.- Effect of Music Training in Neural Responses to Emotional Speech Prosody:  Insights from EEG and Brain Network Analysis.

.- Potential Indicator for Continuous Emotion Arousal by Dynamic Neural Synchrony.

.- Exploring EEG-Based Neural Correlates of Multivariate Ordinal Emotion Representations.

.- The Co-varying Multimodal Pattern in Treatment-resistant and Non-treatment-resistant Schizophrenia.

.- Investigating the Dynamics of Seizure Neuroactivities Using Hidden Markov Model.

.- Suppressing Seizure via Optimal Electrical Stimulation to The Hub of Epileptic Brain Network.

.- AI for Brain Technology.

.- SVFormer: A Direct Training Spiking Transformer for Efficient Video Action Recognition.

.- BL-BERT: Extracting Body Language from Behavior Sequences in Freely Moving Mice.

.- Benchmarking Neural Decoding Backbones towards Enhanced On-edge iBCI Applications.

.- Enhanced Local Attention with Deep Neural Networks for EEG Decoding.

.- Mirror Contrastive Loss Based Sliding Window Transformer for Subject-independent Motor Imagery Based EEG Signal Recognition. 

.- Active Urinary Detection using EEG Based on FBCNet.

.- D2CAN: Domain-guided Contrastive Adversarial Network for EEG-based Cross-subject Cognitive Workload Decoding.

.- Group-specific Fusion Model and its Application in Identifying Multimodal Co-varying Diagnostic Patterns for Psychiatric Disorders.

.- Multi-category Brain Tumor Segmentation via Multi-scale and Cross-category Relation Modeling.

.- Consistent Brain Age Difference in Childhood Autism Spectrum Disorder and its Subtypes.

.- Brain-Aware Readout Layers in GNNs: Advancing Alzheimer's early Detection and Neuroimaging.

.- TSICNet: Importance of Connectome Information for Epilepsy Classification.

.- Brain-inspired AI.

.- A Brain-Inspired Distributed Long-Term Memory Guided Online Continual Learning Method.

.- Memory Sequence Length of Data Sampling Impacts the Adaptation of Meta-Reinforcement Learning Agents.

.- Parameter-Efficient Fine-Tuning of ChatGLM to Mitigate Hallucinations in Chinese Abstractive Summarization.

.- TUN-GCA: A Novel Approach for Organ Segmentation in Nasopharyngeal Carcinoma CT Images.

.- Convolutional Neural Networks Based on Axial Counting Attention for Deburring Cross-sectional Images of Aluminum Profiles.

.- Assessing the Feasibility of using AI Models to Simplify Brain Imaging Reports for Patients: A Comparative Analysis of Four Large Language Models.

.- How Do Transformers Integrate Meanings? An Investigation Using Interpretable Brain-Based Componential Semantics in Two-Word Phrases.

Human Brain and Artificial Intelligence

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    £74.50

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    Order before 4pm today for delivery by Tue 16 Jun 2026.

    A Paperback by Quanying Liu

    15 in stock


      View other formats and editions of Human Brain and Artificial Intelligence by Quanying Liu

      Publisher: Springer
      Publication Date: 19/04/2025
      ISBN13: 9789819640003, 978-9819640003
      ISBN10:

      Description

      Book Synopsis

      .- AI for Brain Science.

      .- Comparision of Brain Visual Cortex and CNN Under Continuous Object Property Space.

      .- CoCoG-2: Controllable Generation of Visual Stimuli for Understanding Human Concept Representation.

      .- Uncovering Cognitive Taskonomy Through Transfer Learning in Masked Autoencoder-based fMRI Reconstruction.

      .- Interpersonal Relationship Analysis with Dyadic EEG Signals via Learning Spatial-Temporal Patterns.

      .- Effect of Music Training in Neural Responses to Emotional Speech Prosody:  Insights from EEG and Brain Network Analysis.

      .- Potential Indicator for Continuous Emotion Arousal by Dynamic Neural Synchrony.

      .- Exploring EEG-Based Neural Correlates of Multivariate Ordinal Emotion Representations.

      .- The Co-varying Multimodal Pattern in Treatment-resistant and Non-treatment-resistant Schizophrenia.

      .- Investigating the Dynamics of Seizure Neuroactivities Using Hidden Markov Model.

      .- Suppressing Seizure via Optimal Electrical Stimulation to The Hub of Epileptic Brain Network.

      .- AI for Brain Technology.

      .- SVFormer: A Direct Training Spiking Transformer for Efficient Video Action Recognition.

      .- BL-BERT: Extracting Body Language from Behavior Sequences in Freely Moving Mice.

      .- Benchmarking Neural Decoding Backbones towards Enhanced On-edge iBCI Applications.

      .- Enhanced Local Attention with Deep Neural Networks for EEG Decoding.

      .- Mirror Contrastive Loss Based Sliding Window Transformer for Subject-independent Motor Imagery Based EEG Signal Recognition. 

      .- Active Urinary Detection using EEG Based on FBCNet.

      .- D2CAN: Domain-guided Contrastive Adversarial Network for EEG-based Cross-subject Cognitive Workload Decoding.

      .- Group-specific Fusion Model and its Application in Identifying Multimodal Co-varying Diagnostic Patterns for Psychiatric Disorders.

      .- Multi-category Brain Tumor Segmentation via Multi-scale and Cross-category Relation Modeling.

      .- Consistent Brain Age Difference in Childhood Autism Spectrum Disorder and its Subtypes.

      .- Brain-Aware Readout Layers in GNNs: Advancing Alzheimer's early Detection and Neuroimaging.

      .- TSICNet: Importance of Connectome Information for Epilepsy Classification.

      .- Brain-inspired AI.

      .- A Brain-Inspired Distributed Long-Term Memory Guided Online Continual Learning Method.

      .- Memory Sequence Length of Data Sampling Impacts the Adaptation of Meta-Reinforcement Learning Agents.

      .- Parameter-Efficient Fine-Tuning of ChatGLM to Mitigate Hallucinations in Chinese Abstractive Summarization.

      .- TUN-GCA: A Novel Approach for Organ Segmentation in Nasopharyngeal Carcinoma CT Images.

      .- Convolutional Neural Networks Based on Axial Counting Attention for Deburring Cross-sectional Images of Aluminum Profiles.

      .- Assessing the Feasibility of using AI Models to Simplify Brain Imaging Reports for Patients: A Comparative Analysis of Four Large Language Models.

      .- How Do Transformers Integrate Meanings? An Investigation Using Interpretable Brain-Based Componential Semantics in Two-Word Phrases.

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