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Rank Title
Authors Journal Volume Issue Page Year PKV Page view
251 Gaussian Process Koopman Mode Decomposition
Takahiro Kawashima, Hideitsu Hino Neural Computation 35 1 82–103 2023 39.66
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252 Modal Principal Component Analysis
Keishi Sando, Hideitsu Hino Neural Computation 32 10 1901–1935 2020 39.56
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253 The Determining Role of Covariances in Large Networks of Stochastic Neurons
Vincent Painchaud, Patrick Desrosiers, Nicolas Doyon Neural Computation 36 6 1121–1162 2024 39.5
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254 Parameter Identifiability in Statistical Machine Learning: A Review
Zhi-Yong Ran, Bao-Gang Hu Neural Computation 29 5 1151–1203 2017 39.35
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255 Robust Modulation of Integrate-and-Fire Models
Tomas Van Pottelbergh, Guillaume Drion, Rodolphe Sepulchre Neural Computation 30 4 987–1011 2018 39.32
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256 McCulloch-Pitts Brains and Pseudorandom Functions
Vašek Chvátal, Mark Goldsmith, Nan Yang Neural Computation 28 6 1042–1050 2016 39.15
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257 Automatic Hyperparameter Tuning in Sparse Matrix Factorization
Ryota Kawasumi, Koujin Takeda Neural Computation 35 6 1086–1099 2023 39.14
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258 Interpretation of the Precision Matrix and Its Application in Estimating Sparse Brain Connectivity during Sleep Spindles from Human Electrocorticography Recordings
Anup Das, Aaron L. Sampson, Claudia Lainscsek, Lyle Muller, Wutu Lin Neural Computation 29 3 603–642 2017 39.06
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259 Reinforcement Learning in Spiking Neural Networks with Stochastic and Deterministic Synapses
Mengwen Yuan, Xi Wu, Rui Yan, Huajin Tang Neural Computation 31 12 2368–2389 2019 39.0
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260 Perceptual Processes as Charting Operators
Peter Neri Neural Computation 38 6 952–1005 2026 38.99
Average Rating: / 5 ( Reviews)