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Retinal neuroprostheses or ‘bionic eyes’, aim to restore patterned vision to those with vision loss by electrically stimulating the remaining neurons in the degenerate retina. Despite considerable progress over the last two decades, such devices generally stimulate indiscriminately both the ‘ON’ and ‘OFF’ visual pathways in the retina, conveying highly non-physiological signals to the brain.
Neural networks in the central nervous system are composed of neurons which interconnect through their axons. Although computational capacity of axons is of great interest, their small structure makes exact evaluation difficult. Culture device capable of obtaining features of individual axons and stimulating with pharmacological reagent is needed. In this study, we aimed to develop a novel culture...
In this study, we describe a novel peripheral-nerve interface which makes use of highly flexible multi-electrode arrays that are integrated into hydrogel-based scaffolds to form a hybrid tissue-engineered electronic construct. This tissue-engineered electronic nerve interface (TEENI) is designed to be scalable to high channel counts using multiple polyimide-based “threads” that are evenly distributed...
Intracellular calcium spiking generates versatile signals that control various key neuronal functions. However, estimation of neuronal spiking pattern at subcellular spatial resolution remains challenging. In this context, we propose calcium imaging to estimate activities in soma, dendrite and axon, along with neuronal interconnections and network topology. Accordingly, we develop a novel integrated...
Retinal prosthetic implants have shown potential to restore partial vision to patients blinded by retinitis pigmentosa or dry age-related macular degeneration, via a camera-driven multielectrode array that electrically stimulates surviving retinal neurons. Commercial epi-retinal prostheses mostly use charge-balanced symmetric cathodic-first biphasic pulses to depolarize retinal ganglion cells (RGCs)...
In this paper, we propose a reconfigurable neural spike classifier based on neuromorphic event-based networks that can be directly interfaced to neural signal conditioning and quantization circuits. The classifier is set as a heterogeneity based, multi-layer computational network to offer wide flexibility in the implementation of plastic and metaplastic interactions, and to increase efficacy in neural...
In this paper, the interaction between axons in nerve trunks has been characterized in the statistical sense while the mechanism model is investigated based on two different observation scales. In order to describe the interaction phenomena, a symmetric coupling factor matrix has been presented which is considered as a transverse mode combining the standard cable equation. It has been shown that the...
Neural-interface devices have the potential to isolate and transduce both afferent (sensory) and efferent (motor) neural signals of the peripheral nerve to and from electrical signals in instrumentation for stimulation and recording to produce fine control of advanced prosthetics. In order to potentiate the full spectrum of possible applications, the persistent foreign-body response needs to be addressed...
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