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Neural networks modularity is a major challenge for the development of control circuits of neural activity. Under physiological limitations, the accessible regions for external stimulation are possibly different from the functionally…

Neurons and Cognition · Quantitative Biology 2018-02-23 Hanna Keren , Johannes Partzsch , Shimon Marom , Christian Mayr

Epilepsy is one of the most occurring neurological disease globally emerged back in 4000 BC. It is affecting around 50 million people of all ages these days. The trait of this disease is recurrent seizures. In the past few decades, the…

Machine Learning · Computer Science 2021-11-08 Virender Ranga , Shivam Gupta , Jyoti Meena , Priyansh Agrawal

To maintain a user's sense of agency (SoA) when working with a physical motor augmentation device, the actuation must align with the user's intentions. In experiments, this is often achieved using stimulus-response paradigms where the motor…

Human-Computer Interaction · Computer Science 2025-06-17 Lukas Gehrke , Leonie Terfurth , Klaus Gramann

In this paper we present an efficient model of the neuronal potentials recorded by a deep brain stimulation microelectrode (DBS MER) in the subthalamic nucleus. It is shown that a computationally efficient filtered point process consisting…

Neurons and Cognition · Quantitative Biology 2016-07-05 Kristian J. Weegink , Paul A. Bellette , John J. Varghese , Peter A. Silburn , Paul A. Meehan , Andrew P. Bradley

Currently, individuals with arm mobility impairments (referred to as "patients") face limited technological solutions due to two key challenges: (1) non-invasive prosthetic devices are often prohibitively expensive and costly to maintain,…

Artificial Intelligence · Computer Science 2025-01-28 Maha Nawaz , Abdul Basit , Muhammad Shafique

The field of brain-computer interfaces is poised to advance from the traditional goal of controlling prosthetic devices using brain signals to combining neural decoding and encoding within a single neuroprosthetic device. Such a device acts…

Artificial Intelligence · Computer Science 2018-12-31 Rajesh P. N. Rao

Low-intensity transcranial focused ultrasound (tFUS) is rapidly emerging as a transformative non-invasive brain stimulation (NIBS) modality characterized by high spatial resolution and ability to target deep brain circuits. Unlike…

Neurons and Cognition · Quantitative Biology 2026-04-02 William J. Tyler

Parkinson's Disease (PD) is a chronic, degenerative disorder which leads to a range of motor and cognitive symptoms. PD diagnosis is a challenging task since its symptoms are very similar to other diseases such as normal ageing and…

Machine Learning · Computer Science 2021-01-15 Mohamad Alissa

Stroke is a leading cause of long-term disability and the second most common cause of death worldwide. Although acute treatments have advanced, recovery remains challenging and limited. Brain-computer interfaces (BCIs) have emerged as a…

Neurons and Cognition · Quantitative Biology 2025-10-10 Aniana Cruz , Marko Kuzmanoski , Gabriel Pires

Magnetic navigation offers wireless control over magnetic objects, which has important medical applications, such as targeted drug delivery and minimally invasive surgery. Magnetic navigation systems are categorized into systems using…

Systems and Control · Electrical Eng. & Systems 2025-04-18 Jasan Zughaibi , Bradley J. Nelson , Michael Muehlebach

Our brain is a complex information processing network in which the nervous system receives information from the environment to quickly react to incoming events or learns from experience to sharp our memory. In the nervous system, the brain…

Neurons and Cognition · Quantitative Biology 2022-06-20 Thi Kim Thoa Thieu , Roderick Melnik

A major objective of Brain-Computer interfaces (BCI) is to restore communication and control in patients with severe motor impairments, like people with Locked-in syndrome. These patients are left only with limited eye and eyelid movements.…

Human-Computer Interaction · Computer Science 2023-02-14 P Séguin , E Maby , J Mattout

This paper presents the development of a new passive assistive handwriting device, which aims to stabilize the motion of people living with movement disorders. Many people living with conditions such as cerebral palsy, stroke, muscular…

Stroke-induced disturbances of large-scale cortical networks are known to be associated with the extent of motor deficits. We argue that identifying brain networks representative of motor behavior in the resting brain would provide…

Neurons and Cognition · Quantitative Biology 2019-07-24 Ozan Özdenizci , Timm Meyer , Felix Wichmann , Jan Peters , Bernhard Schölkopf , Müjdat Çetin , Moritz Grosse-Wentrup

Parkinson's Disease (PD) is a progressive neurodegenerative movement disorder that affects more that 6 million people worldwide. Motor dysfunction gradually increases as the disease progress. It is usually mild in the early stages of the…

Computers and Society · Computer Science 2015-11-12 Ioannis Pachoulakis , Nikolaos Papadopoulos , Cleanthe Spanaki

Children with unilateral cerebral palsy have movement impairments that are predominant to one of their upper extremities (UE) and are prone to a phenomenon named "developmental disregard", which is characterized by the neglect of their most…

Robotics · Computer Science 2020-10-14 Jade Clouatre , Alexandre Campeau-Lecours , Véronique Flamand

Current treatments for paraplegia induced by spinal cord injury (SCI) are often limited by the severity of the injury. The accompanying loss of sensory and motor functions often results in reliance on wheelchairs, which in turn causes…

The mechanisms underlying pathologically synchronized neural oscillations in Parkinson's disease (PD) and generalized epilepsies are jointly explored via a neural field model of the corticothalamic-basal ganglia (CTBG) system. The basal…

Neurons and Cognition · Quantitative Biology 2024-01-25 Eli J Müller , Sacha J van Albada , Jong-Won Kim , Peter A Robinson

Sensory neuroprostheses are emerging as a promising technology to restore lost sensory function or augment human capabilities. However, sensations elicited by current devices often appear artificial and distorted. Although current models…

Machine Learning · Computer Science 2022-10-20 Jacob Granley , Lucas Relic , Michael Beyeler

Parkinsons Disease (PD) is a neurodegenerative disorder resulting in motor deficits due to advancing degeneration of dopaminergic neurons. PD patients report experiencing tremor, rigidity, visual impairment, bradykinesia, and several…

Computer Vision and Pattern Recognition · Computer Science 2023-04-05 Krish Desai
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