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Neuromorphic Computing and Engineering • Vol 5 • No 3
Unsupervised sparse coding-based spiking neural network for real-time spike sorting
2025
Abstract Spike sorting is a crucial step in decoding multichannel extracellular neural signals, enabling the identification of individual neuronal activity. A key challenge in brain–machine interfaces is achieving real-time, low-power spike sorting at the edg…
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Artificial Intelligence

Intelligence of machines

Artificial intelligence (AI) is the capability of computational systems to perform tasks typically associated with human intelligence, such as learning, reasoning, problem-solving, perception, and decision-making. It is a field of research in computer science that develops and studies methods and software that enable machines to perceive their environment and use learning and intelligence to take actions that maximize their chances of achieving defined goals.

High-profile applications of AI include advanced web search engines (e.g., Google Search); recommendation systems (used by YouTube, Amazon, and Netflix); virtual assistants (e.g., Google Assistant, Siri, and Alexa); autonomous vehicles (e.g., Waymo); generative and creative tools (e.g.

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Neuromorphic Computing and Engineering • Vol 5 • No 3
Unsupervised sparse coding-based spiking neural network for real-time spike sorting
2025
Abstract Spike sorting is a crucial step in decoding multichannel extracellular neural signals, enabling the identification of individual neuronal activity. A key challenge in brain–machine interfaces is achieving real-time, low-power spike sorting at the edge while keeping high neural decoding performance. This study introduces the neuromorphic sparse sorter (NSS), a compact two-layer spiking neural network optimized for efficient spike sorting. NSS leverages the locally competitive algorithm for sparse coding to…
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