295 related articles for article (PubMed ID: 33328247)
21. DeepImageTranslator: A free, user-friendly graphical interface for image translation using deep-learning and its applications in 3D CT image analysis.
Ye RZ; Noll C; Richard G; Lepage M; Turcotte ÉE; Carpentier AC
SLAS Technol; 2022 Feb; 27(1):76-84. PubMed ID: 35058205
[TBL] [Abstract][Full Text] [Related]
22. Recurrent neural networks as versatile tools of neuroscience research.
Barak O
Curr Opin Neurobiol; 2017 Oct; 46():1-6. PubMed ID: 28668365
[TBL] [Abstract][Full Text] [Related]
23. Deep neural network models of sensory systems: windows onto the role of task constraints.
Kell AJ; McDermott JH
Curr Opin Neurobiol; 2019 Apr; 55():121-132. PubMed ID: 30884313
[TBL] [Abstract][Full Text] [Related]
24. Training Spiking Neural Networks in the Strong Coupling Regime.
Kim CM; Chow CC
Neural Comput; 2021 Apr; 33(5):1199-1233. PubMed ID: 34496392
[TBL] [Abstract][Full Text] [Related]
25. Neural population dynamics of computing with synaptic modulations.
Aitken K; Mihalas S
Elife; 2023 Feb; 12():. PubMed ID: 36820526
[TBL] [Abstract][Full Text] [Related]
26. Exploring Flip Flop memories and beyond: training Recurrent Neural Networks with key insights.
Jarne C
Front Syst Neurosci; 2024; 18():1269190. PubMed ID: 38600907
[TBL] [Abstract][Full Text] [Related]
27. Bio-instantiated recurrent neural networks: Integrating neurobiology-based network topology in artificial networks.
Goulas A; Damicelli F; Hilgetag CC
Neural Netw; 2021 Oct; 142():608-618. PubMed ID: 34391175
[TBL] [Abstract][Full Text] [Related]
28. Recognizing recurrent neural networks (rRNN): Bayesian inference for recurrent neural networks.
Bitzer S; Kiebel SJ
Biol Cybern; 2012 Jul; 106(4-5):201-17. PubMed ID: 22581026
[TBL] [Abstract][Full Text] [Related]
29. Recurrent neural network from adder's perspective: Carry-lookahead RNN.
Jiang H; Qin F; Cao J; Peng Y; Shao Y
Neural Netw; 2021 Dec; 144():297-306. PubMed ID: 34543855
[TBL] [Abstract][Full Text] [Related]
30. Gnocis: An integrated system for interactive and reproducible analysis and modelling of cis-regulatory elements in Python 3.
Bredesen-Aa BA; Rehmsmeier M
PLoS One; 2022; 17(9):e0274338. PubMed ID: 36084008
[TBL] [Abstract][Full Text] [Related]
31. BindsNET: A Machine Learning-Oriented Spiking Neural Networks Library in Python.
Hazan H; Saunders DJ; Khan H; Patel D; Sanghavi DT; Siegelmann HT; Kozma R
Front Neuroinform; 2018; 12():89. PubMed ID: 30631269
[TBL] [Abstract][Full Text] [Related]
32. RNNCon: Contribution Coverage Testing for Stacked Recurrent Neural Networks.
Du X; Zeng H; Chen S; Lei Z
Entropy (Basel); 2023 Mar; 25(3):. PubMed ID: 36981408
[TBL] [Abstract][Full Text] [Related]
33. dnadna: a deep learning framework for population genetics inference.
Sanchez T; Bray EM; Jobic P; Guez J; Letournel AC; Charpiat G; Cury J; Jay F
Bioinformatics; 2023 Jan; 39(1):. PubMed ID: 36445000
[TBL] [Abstract][Full Text] [Related]
34. Task-Related Synaptic Changes Localized to Small Neuronal Population in Recurrent Neural Network Cortical Models.
Kuroki S; Isomura T
Front Comput Neurosci; 2018; 12():83. PubMed ID: 30344485
[TBL] [Abstract][Full Text] [Related]
35. MIDRC CRP10 AI interface-an integrated tool for exploring, testing and visualization of AI models.
Gorre N; Carranza E; Fuhrman J; Li H; Madduri RK; Giger M; El Naqa I
Phys Med Biol; 2023 Mar; 68(7):. PubMed ID: 36716497
[No Abstract] [Full Text] [Related]
36. A recurrent neural network framework for flexible and adaptive decision making based on sequence learning.
Zhang Z; Cheng H; Yang T
PLoS Comput Biol; 2020 Nov; 16(11):e1008342. PubMed ID: 33141824
[TBL] [Abstract][Full Text] [Related]
37. Training deep neural density estimators to identify mechanistic models of neural dynamics.
Gonçalves PJ; Lueckmann JM; Deistler M; Nonnenmacher M; Öcal K; Bassetto G; Chintaluri C; Podlaski WF; Haddad SA; Vogels TP; Greenberg DS; Macke JH
Elife; 2020 Sep; 9():. PubMed ID: 32940606
[TBL] [Abstract][Full Text] [Related]
38. PyRaDiSe: A Python package for DICOM-RT-based auto-segmentation pipeline construction and DICOM-RT data conversion.
Rüfenacht E; Kamath A; Suter Y; Poel R; Ermiş E; Scheib S; Reyes M
Comput Methods Programs Biomed; 2023 Apr; 231():107374. PubMed ID: 36738608
[TBL] [Abstract][Full Text] [Related]
39. Gating Revisited: Deep Multi-Layer RNNs That can be Trained.
Turkoglu MO; DaAronco S; Wegner JD; Schindler K
IEEE Trans Pattern Anal Mach Intell; 2022 Aug; 44(8):4081-4092. PubMed ID: 33687837
[TBL] [Abstract][Full Text] [Related]
40. Transforming task representations to perform novel tasks.
Lampinen AK; McClelland JL
Proc Natl Acad Sci U S A; 2020 Dec; 117(52):32970-32981. PubMed ID: 33303652
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
