Modeling Interval Timing by Recurrent Neural Nets. [PDF]
Front Integr Neurosci, 2019 The purpose of this study was to take a new approach in showing how the central nervous system might encode time at the supra-second level using recurrent neural nets (RNNs).
Raphan T, Dorokhin E, Delamater AR.
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Quantum deep learning by sampling neural nets with a quantum annealer. [PDF]
Sci Rep, 2023 Higham CF, Bedford A.
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Deep Learning for Genomics: From Early Neural Nets to Modern Large Language Models. [PDF]
Int J Mol Sci, 2023 Yue T +7 more
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Plant recognition by AI: Deep neural nets, transformers, and kNN in deep embeddings. [PDF]
Front Plant Sci, 2022 Picek L, Šulc M, Patel Y, Matas J.
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Accurate clinical toxicity prediction using multi-task deep neural nets and contrastive molecular explanations. [PDF]
Sci Rep, 2023 Sharma B +6 more
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PIPENN: protein interface prediction from sequence with an ensemble of neural nets. [PDF]
Bioinformatics, 2022 Stringer B +5 more
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A Study on Different Deep Learning Algorithms Used in Deep Neural Nets: MLP SOM and DBN. [PDF]
Wirel Pers Commun, 2023 Naskath J, Sivakamasundari G, Begum AAS.
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MapCell: Learning a Comparative Cell Type Distance Metric With Siamese Neural Nets With Applications Toward Cell-Type Identification Across Experimental Datasets. [PDF]
Front Cell Dev Biol, 2021 Koh W, Hoon S.
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Spike-Train Level Direct Feedback Alignment: Sidestepping Backpropagation for On-Chip Training of Spiking Neural Nets. [PDF]
Front Neurosci, 2020 Lee J, Zhang R, Zhang W, Liu Y, Li P.
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Do neural nets learn statistical laws behind natural language? [PDF]
PLoS One, 2017 Takahashi S, Tanaka-Ishii K.
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