An Investigation of Manifold-Based Direct Control for a Brain-to-Body Neural Bypass

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Reflective writing is known as a useful method in learning sciences to improve the metacognitive skills of students. However, students struggle to structure their reflections properly, limiting the possible learning gains. Previous works in educational tec ...

Physics-informed machine learning (PIML) is a set of methods and tools that systematically integrate machine learning (ML) algorithms with physical constraints and abstract mathematical models developed in scientific and engineering domains. As opposed to ...

The dorsomedial prefrontal cortex/dorsal anterior cingulate cortex (dmPFC/dACC) is a brain area subject to many theories and debates over its function(s). Even its precise anatomical borders are subject to much controversy. In the past decades, the dmPFC/d ...

Effective, patient-tailored rehabilitation to restore upper-limb motor function in severely impaired stroke patients is still missing. If suitably combined and administered in a personalized fashion, neurotechnologies offer a large potential to assist reha ...

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Neurological disorders such as spinal cord lesion and stroke disturb sensorimotor pathways and result in severe motor deficits that can dreadfully impact the quality of life of affected individuals. Strategies aiming at restoring hand function after upper- ...

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Closed-loop implantable electronics offer a new trend in therapeutic systems aimed at controlling some neurological diseases such as epilepsy. Seizures are detected and electrical stimulation applied to the brain or groups of nerves. To this aim, the signa ...

An Investigation of Manifold-Based Direct Control for a Brain-to-Body Neural Bypass

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Metacognition meets AI: Empowering reflective writing with large language models

Physics-Informed Machine Learning for Modeling and Control of Dynamical Systems

Debates on the dorsomedial prefrontal/dorsal anterior cingulate cortex: insights for future research

Forest Drought Impact Prediction based on Spatio-temporal Satellite Imagery and Weather Forecasts -- A Spatio-Temporal Approach using Convolutional LSTM Models

A Novel Patient-Tailored, Cumulative Neurotechnology-Based Therapy for Upper-Limb Rehabilitation in Severely Impaired Chronic Stroke Patients: The AVANCER Study Protocol

Sense of agency for intracortical brain-machine interfaces

Learning of physical systems: from inference to control

Low-Intensity Electrostimulation Enhances Neuroregeneration and Improves Erectile Function in a Rat Model of Cavernous Nerve Injury

A dynamical systems approach to synaptic consolidation and associations of concepts in hippocampus

Development of a peripheral neuroprosthesis to elicit fine hand movements in primates

Sparse coupled logistic regression to estimate co-activation and modulatory influences of brain regions

A Review of Microelectronic Systems and Circuit Techniques for Electrical Neural Recording Aimed at Closed-Loop Epilepsy Control