Development of a Self-Opening Neural Interface

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Neuroprostheses have been used clinically for decades, to help restore or preserve brain functions, when pharmaceutical treatments are inefficient. Although great progress in the field has been made over the years to interface with the nervous system, surf ...

Implantable neural interfaces with the central and peripheral nervous systems are currently used to restore sensory, motor, and cognitive functions in disabled people with very promising results. They have also been used to modulate autonomic activities to ...

In recent years, there has been a surge of interest in predicting computed activation barriers, to enable the acceleration of the automated exploration of reaction networks. Consequently, various predictive approaches have emerged, ranging from graph-based ...

Electrical stimulation of the nervous system has emerged as a promising assistive technology in case of many injuries and illnesses across various parts of the nervous system. In particular, the invasive neuromodulation of the peripheral nervous system see ...

Animals, including humans, exhibit a remarkable variety of complex behaviours. How the nervous system controls all these behaviours ranging from simple, stereotyped movements to flexible, adaptive actions is a central questions of neuroscience. One of the ...

This paper presents a comparison of machine learning (ML) methods used for three-dimensional localization of partial discharges (PD) in a power transformer tank. The study examines ML and deep learning (DL) methods, ranging from support vector machines (SV ...

A method for optimizing at least one of a geometry, an implantation procedure, and/or stimulation protocol of one or more electrodes for an electrical stimulation of a target structure in a nervous system of a living being by a computer device, the method ...

Translation elongation plays an important role in regulating protein concentrations in the cell, and dysregulation of this process has been linked to several human diseases. In this study, we use data from ribo-seq experiments to model ribosome densities, ...

This thesis presents an extensive exploration of neuroelectronic interfaces, focusing on microfabrication, in silico modeling, and their applications in designing and fabricating devices for neural interfacing. The research encompasses both peripheral nerv ...

Predicting the evolution of systems with spatio-temporal dynamics in response to external stimuli is essential for scientific progress. Traditional equations-based approaches leverage first principles through the numerical approximation of differential equ ...

This article summarizes the recent advancements in the design, fabrication, and control of microrobotic devices for the diagnosis and treatment of brain disorders. With a focus on diverse actuation methods, we discuss how advancements in materials science ...

The brain is an ultra-soft viscoelastic matrix. Sub-kPa hydrogels match the brain's mechanical properties but are challenging to manipulate in an implantable format. We propose a simple fabrication and processing sequence, consisting of de-hydration, patte ...

The peripheral nervous system (PNS) regulates the exchange of sensory information and motor commands between the body and the central nervous system. Further, through the autonomic nervous system, the PNS plays a pivotal role in controlling vital physiolog ...

Multi-polar stimulation protocols have been used in the past to increase the selectivity of electrical stimulation of the nervous system. Nonetheless, the number of possible multipolar stimulation protocols is prohibitively large and cannot be explored dur ...

Background Braak's hypothesis states that sporadic Parkinson's disease (PD) follows a specific progression of pathology from the peripheral to the central nervous system, and this progression can be monitored by detecting the accumulation of alpha-Synuclei ...

The pathogenic bacterium Streptococcus pneumoniae (S. pneumoniae) can invade the cerebrospinal fluid (CSF) and cause meningitis with devastating consequences. Whether and how sensory cells in the central nervous system (CNS) become activated during bacteri ...

Vagus nerve stimulation (VNS) is an FDA-approved technique for the neuromodulation of the autonomic nervous system. There are many therapeutic applications where VNS could be used as a therapy, such as cardiovascular diseases, epilepsy, depression, and inf ...

Motor learning allows animals, including human beings, to acquire skills that are es-sential for efficient interactions with the environment. This ability to learn new motor skills is of great practical relevance for daily-life activities (such as when lea ...

Computational models have been widely employed to study the electrical stimulation of the nervous system. Still, most applications either study fundamental mechanisms underlying stimulation, or address qualitative scientific questions. When quantitative qu ...

This thesis is a study of the global well-posedness of the Cauchy problems for half-wave maps from the Minkowski space of dimension n+1 to the 2-dimensional sphere and the hyperbolic plane. The work is mainly based on the results from Krieger-Sire 17' in ...

Development of a Self-Opening Neural Interface

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Unraveling behavior and cortical signals to guide the development of soft neuroprostheses for auditory restoration and spreading depolarization

Organ Neuroprosthetics: Connecting Transplanted and Artificial Organs with the Nervous System

Benchmarking machine-readable vectors of chemical reactions on computed activation barriers

Biophysically accurate and machine learning-based surrogate models to optimize neuroprosthesis design and operation

Uncovering interactions between Descending Neurons as a functional principle of behavioural control

Partial discharge localization in power transformer tanks using machine learning methods

A method and system for optimizing design, implantation, and stimulation protocols of electrodes stimulating the nervous system

Towards improving full-length ribosome density prediction by bridging sequence and graph-based representations

Modeling, fabrication and validation of 3D neural interfaces for peripheral nerves and brain organoids

Learning the intrinsic dynamics of spatio-temporal processes through Latent Dynamics Networks

Small-scale robotic devices for medical interventions in the brain

Revealing the complexity of ultra-soft hydrogel re-swelling inside the brain

Soft bioelectronic technologies for selective and multimodal peripheral nerve interfaces

Reconstruction of nerve functional topography using recruitment curves enables selective electrical stimulation

Overexpression of human alpha-Synuclein leads to dysregulated microbiome/metabolites with ageing in a rat model of Parkinson disease

CSF-contacting neurons respond to Streptococcus pneumoniae and promote host survival during central nervous system infection

Cardiovascular response to closed-loop intraneural stimulation of the right vagus nerve: a proof-of-concept study

Mechanisms underlying reinforcement learning of motor skills

Machine-learning predictor of nerve fiber firing rate allows the automatic optimization of electrical stimulation protocols

Well-posedness Issues For the Half-Wave Maps Equation With Hyperbolic And Spherical Targets