The study is the first to show that a neurotechnology can be engineered to reverse degeneration of neural circuits and rescue ...

The study is first to show that a neurotechnology can be engineered to reverse degeneration of neural circuits and rescue cell function in a human neurodegenerative disease. "To counteract ...

A new electrical stimulation therapy for spinal muscle atrophy (SMA) has shown promise in reactivating motor neurons and ...

Using a novel deep learning approach, we evaluated the predictive power of the functional connectome during various states (resting state, movie-watching, and n-back) on episodic memory and working ...

What sets RC apart is its efficiency―it delivers powerful results with much lower training costs compared ... Unlike traditional neural networks, which require extensive training across multiple ...

Movement is a complex process governed by a network of neuronal circuits spread across multiple regions of the nervous system. These regions, including the cortex, basal ganglia, brainstem, and ...

Accordingly, we developed a robust motor-intent decoding approach to continuously predict the intended fingertip forces of single and multiple fingers in real time. We used population motor neuron ...

This study examined the important question of how neurons code temporal information across the hippocampus, dorsal striatum, and orbitofrontal cortex. Using a behavioral task in the rat that requires ...

A cornerstone of neural network computation is the concept of weights, which represent the “strength” or “importance” of each neuron’s connection in the ... Mix of higher and lower precision (FP32, ...

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