Developments, Hardships, and Prospective Directions in the Field of Neuroscience and Neurological Machine Learning for Behavioral Evaluation

Advances in psychology, mental health, and behavioral studies (APMHBS) book series, Год журнала: 2025, Номер unknown, С. 459 - 474

Опубликована: Янв. 3, 2025

This study examines the current state of neuroscience, emphasizing use machine learning to improve behavioral assessment and its therapeutic applications. Progress in neuroscience has facilitated comprehension cognitive aging, neurological illnesses, essential function cognition detecting decline. The increasing potential likely overcomes aforementioned deficiencies—consistent monitoring early identification mental health—through automation. research will ultimately address AI-related concerns regarding longitudinal individuals with illnesses. Neurocognitive testing may leverage significantly advance evaluation management health, hence facilitating future enhance broaden capabilities neurolearning neuropsychology.

Язык: Английский

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Preemptive Diagnosis of Parkinson’s Disease Through DaT Scans Using InceptionV3-Based Convolutional Neural Network

Lecture notes in electrical engineering, Год журнала: 2025, Номер unknown, С. 31 - 43

Опубликована: Янв. 1, 2025

Язык: Английский

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Explainable and Responsible AI in Neuroscience

Опубликована: Март 3, 2025

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Application of Organic Light-Emitting Diodes and Photodiodes in Optical Control and Detection of Neuronal Activity

Photonics, Год журнала: 2025, Номер 12(3), С. 281 - 281

Опубликована: Март 18, 2025

Optical techniques to study neuronal activity have greatly advanced the field of neuroscience over recent decades. Multichannel silicon-based recording probes combined with optical fibers allow for simultaneous and manipulation that underpins cognitive processes behavior. The development neural incorporating organic light-emitting diodes (OLEDs) photodiode-based photodetectors (OPDs) offer additional advantages biocompatibility, ultra-small footprint, multifunctionality, low cost. These developments are ushering in a new generation devices ideal interrogation vitro vivo. In this review, we discuss progress OLED- OPD-based probes, their applications control function, current challenges prospects future.

Язык: Английский

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Relationships and representations of brain structures, connectivity, dynamics and functions

Progress in Neuro-Psychopharmacology and Biological Psychiatry, Год журнала: 2025, Номер unknown, С. 111332 - 111332

Опубликована: Март 1, 2025

Язык: Английский

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How Might a ‘Philosopher's Toolkit’ Help Advance Neuroscience? Let's Ask Some Neuroscientists

European Journal of Neuroscience, Год журнала: 2025, Номер 61(7)

Опубликована: Апрель 1, 2025

In the terms adopted by editors of this special issue concerning how a 'philosopher's toolkit' might contribute to progress in neuroscience, paper reports posing that question several neuroscientists, all with track record successfully interacting philosophers. These discussions took form structured interviews following methods Barwich. The results highlight number issues these neuroscientists think philosophers can help them solve. Different views emerged about what consists of; but each saw some important roles play within neuroscience itself. Transcripts and accompanying analyses reveal prominent welcome their contributions, central outstanding questions specific research fields more general concerns confront scientists beyond those neuroscience. based upon should be science-in-practice, especially subset recently dubbed 'philosophers-in-science'. They also who are less familiar professionally glimpse colleagues find potentially valuable such interactions.

Язык: Английский

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Between Innovation and Intrusion: A Qualitative Study of Privacy Perceptions Among Omani and Bahraini Smartphone Users in the Age of Mind-Reading

Studies in systems, decision and control, Год журнала: 2025, Номер unknown, С. 269 - 280

Опубликована: Янв. 1, 2025

Язык: Английский

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Real-time suspicious detection framework for financial data streams

International Journal of Information Technology, Год журнала: 2025, Номер unknown

Опубликована: Апрель 25, 2025

Язык: Английский

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Graph-informed convolutional autoencoder to classify brain responses during sleep

Frontiers in Neuroscience, Год журнала: 2025, Номер 19

Опубликована: Апрель 28, 2025

Automated machine-learning algorithms that analyze biomedical signals have been used to identify sleep patterns and health issues. However, their performance is often suboptimal, especially when dealing with imbalanced datasets. In this paper, we present a robust state (SlS) classification algorithm utilizing electroencephalogram (EEG) signals. To aim, pre-processed EEG recordings from 33 healthy subjects. Then, functional connectivity features recurrence quantification analysis were extracted sub-bands. The graphical representation was calculated phase locking value, coherence, phase-amplitude coupling. Statistical select p-values of less than 0.05. These compared between four states: wakefulness, non-rapid eye movement (NREM) sleep, rapid (REM) during presenting auditory stimuli, REM without stimuli. Eighteen types different stimuli including instrumental natural sounds presented participants REM. selected significant train novel deep-learning classifiers. We designed graph-informed convolutional autoencoder called GICA extract high-level the features. Furthermore, an attention layer based on rate EEGs incorporated into classifier enhance dynamic ability model. proposed model assessed by comparing it baseline systems in literature. accuracy SlS-GICA 99.92% feature set. This achievement could be considered real-time automatic applications develop new therapeutic strategies for sleep-related disorders.

Язык: Английский

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Precision neuropsychology in the area of AI

Frontiers in Psychology, Год журнала: 2025, Номер 16

Опубликована: Май 14, 2025

This perspective paper introduces the term “precision neuropsychology” to reflect on an approach that integrates AI-driven assessment tools with traditional neuropsychological frameworks—an integration expected become crucial in future clinical practice. The outlines technological evolution from basic computerized testing sophisticated machine learning applications could enable clinicians more accurately detect subtypes of conditions. Key opportunities include enhanced pattern recognition assessments (e.g., digital clock drawing), continuous monitoring symptom fluctuations Attention Deficit Disorder), and personalized treatment procedures based individual needs disorders). also addresses critical implementation challenges: ethical considerations including algorithmic bias data privacy; balancing quantitative AI analytics qualitative expertise avoid reductionism; developing new competencies for neuropsychologists effectively integrate their research work. By providing practical guidelines while preserving holistic patient care, precision neuropsychology shows promise enhancing both diagnostic accuracy efficacy

Язык: Английский

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