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Neurostimulation

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The purpose of this Notice of Funding Opportunity (NOFO) is to encourage applications seeking to develop the next generation of brain stimulation devices for treating mental health disorders. Applications are sought that will either 1) develop novel brain stimulation devices or 2) significantly enhance, by means of hardware/software improvements, the effectiveness of brain stimulation devices that are currently U.S. Food and Drug Administration (FDA)-approved or cleared. Novel devices should move beyond existing electrical/magnetic stimulation and develop new stimulation techniques capable of

Closes

Grant · Neuroscience

…and reorganization with combined neurostimulation and neuroimaging across the adult life span. I will argue that short-term plasticity enables flexible adaptation to challenges, via functional reorganization. My key hypothesis is that disruption of higher-level cognitive functions such as language can be compensated for by the

Tue, May 20, 2025 · 12:15 UTC

Seminar · Cognition

…Neurostimulation provides an alternative to surgery-ineligible patients with intractable seizures. Hippocampal low-frequency stimulation (LFS) has shown antiepileptic effects in animal studies and small clinical cohorts, yet its long-term effects and mechanisms remain unclear. This study investigates LFS effects on different types of epileptiform activity, spatial learning and anxiety, and synaptic plasticity.We used th

ePoster · Neuroscience

Long-term implantation and cortical stimulation with photoactive organic semiconductors in a rat model

Marta Nowakowska, Marie Jakešová, Robert Reimer et al. · FENS Forum 2024

Neurostimulation employing photoactive organic semiconductors presents a promising alternative to conventional techniques, enabling targeted action and wireless control through light. This study investigates the efficacy of stimulation of the neuronal networks in vivo using organic electrolytic photocapacitors (OEPC) and explores the interactions between the device and neural tissue following a long-term implantation.OEPC implants were positioned subdurally on the somatosensory cortex of adult rats, with the craniectomy site sealed by a transparent window. Three weeks post-implantation, animal

ePoster · Biomedical Engineering

A novel technique for dramatically reducing computational burden in electrophysiological axon simulations

Javier Garcia Ordonez, Taylor Newton, Esra Neufeld, Niels Kuster · FENS Forum 2024

…of therapeutic possibilities for neurostimulation. However, applications are limited by the computational expense of electrophysiological simulations. Here, we introduce a new method for dramatically reducing these costs while preserving the accuracy of traditional axon simulations.The “activating function” (AF) is a linear quantity derived directly from the extracellular field potential that can predict axonal spike initiation in lieu of compartment-based models [1], but with limited accuracy. Thus, we developed a “general

ePoster · Neuroscience

A retina-inspired optoelectronic synapse using quantum dots for neuromorphic photostimulation of neurons

Ridvan Balamur, Guncem Ozgun Eren, Humeyra Nur Kaleli et al. · FENS Forum 2024

…levels of ionic currents for neurostimulation, and plasticity. However, their implementation requires a combination of separate devices, such as sensors, organic synaptic transistors, and stimulation electrodes. Here, we present a compact neuromorphic synapse that combines photodetection, memory, and neurostimulation functionalities all-in-one. The artificial photoreception is facilitat

ePoster · Neuroscience

…biological nervous/motor systems via neurostimulation or artificial robotic systems via integration with actuators. I see the added value of the real-time neurosimulations as bridge technology for the set of developed technologies: BCI, neuroprosthetics, AI, robotics to provide bio-compatible integration into biological or artificial limbs. Here I present the three types of integration of the "neuropunk revol

Thu, Oct 21, 2021 · 12:00 UTC

Seminar · Computational Neuroscience