Every time dualism is mentioned in clinical debate, a philosopher is thrown out of heaven
Understanding Dualism in Clinical Contexts Dualism, a concept traditionally rooted in philosophy, finds its way into the realm of clinical […]
Editorial: Understanding neural processing as an integrated intelligent system
Neural Processing Framework Understanding neural processing entails analyzing how various neural systems interact to perform complex functions. This framework views
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An improved human memory algorithm with multi-directional and chaotic approaches for global optimization and energy-efficient cluster head selection in WSNs
Algorithm Design and Optimization To develop an enhanced human memory algorithm, several pivotal components must be meticulously designed and optimized.
An improved human memory algorithm with multi-directional and chaotic approaches for global optimization and energy-efficient cluster head selection in WSNs
Study Overview The growing demand for efficient data transmission and energy conservation in Wireless Sensor Networks (WSNs) has prompted researchers
Recommendations for Refining the Diagnosis of Functional Cognitive Disorder
Understanding Functional Cognitive Disorder Functional Cognitive Disorder (FCD) represents a unique intersection within the field of neuropsychology and psychiatry, as
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Recommendations for Refining the Diagnosis of Functional Cognitive Disorder
Understanding Functional Cognitive Disorder Functional Cognitive Disorder (FCD) is a complex condition characterized by cognitive symptoms that do not arise
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Physiatry Reviews for Evidence in Practice (PREP) Second-Order Peer Reviews of Clinically Relevant Articles for the Physiatrist: “Context of Injury and Clinical Trajectories After Mild Traumatic Brain Injury”
Study Overview The research investigated the outcomes and clinical trajectories following mild traumatic brain injury (mTBI), with a specific focus
A scoping review and comprehensive needs assessment for developing an intergenerational cognitive and physical activity program for MCI patients and their adult children
Program Development Framework In crafting a robust structure for the intergenerational cognitive and physical activity program designed for patients with
Deep-learning based multi-modal models for brain age, cognition and amyloid pathology prediction
Study Overview This research aims to investigate the potential of deep learning techniques to simultaneously analyze multiple modalities of data
Bayesian brain theories and their link to quantum mechanics
The Bayesian brain hypothesis frames the brain as a probabilistic machine, constantly updating predictions based on incoming sensory data. Emerging research explores striking parallels with quantum mechanics, suggesting that concepts like superposition and entanglement may offer deeper insights into perception, decision-making, and cognitive uncertainty, challenging traditional models and inspiring new approaches to understanding the dynamics of the mind.
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