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| http://dx.doi.org/10.1016/j.hrcr.2020.11.011 | DOI Listing |
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Spatio-temporal transformers for decoding neural movement control.
J Neural Eng
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Department of Information Engineering, Electronics and Telecommunications, University of Rome La Sapienza, Piazzale Aldo Moro 5, Rome, 00185, ITALY.
Deep learning tools applied to high-resolution neurophysiological data have significantly progressed, offering enhanced decoding, real-time processing, and readability for practical applications. However, the design of artificial neural networks to analyze neural activity in vivo remains a challenge, requiring a delicate balance between efficiency in low-data regimes and the interpretability of the results. Approach: To address this challenge, we introduce a novel specialized transformer architecture to analyze single-neuron spiking activity.
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Department of Paediatrics and Adolescent Medicine, Queen Mary Hospital, Hong Kong, Hong Kong SAR, China.
Signal transducer and activator of transcription 1 (STAT1) gene mutations have broad clinical phenotypes, classified by the inheritance pattern and functional state. Individuals with autosomal dominant STAT1 deficiency are more susceptible to intracellular bacteria, the hallmark of which is Mendelian susceptibility to mycobacterial diseases (MSMDs) that are associated with increased risks of invasive disease by weakly virulent mycobacteria. We report a novel heterozygous missense mutation in exon 23 of the STAT1 gene (NM_007315.
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