A deep learning approach to improve signal quality: spike denoising for reliable sorting using transformer networks
Mohammad Amin Lotfi,
Mohammad Reza Daliri
Abstract:Accurate sorting is critical in neural signal processing. This paper presents a spike denoising method using a transformer network for enhanced spike sorting. Accurate spike sorting involves identifying and isolating signals generated by individual neurons from recordings obtained from multiple neurons. A transformer is a deep learning model that uses self-attention to differentially weight the significance of each part of the input data. Transformer networks consist of two main parts: the Encoder and the Deco… Show more
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