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Sophisticated Inference
| 順位 | タイトル | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| 著者 | 雑誌 | 巻 | 号 | ページ | 年 | PKVアクセス数 | |||
| 191 | Learning Visual Spatial Pooling by Strong PCA Dimension Reduction | ||||||||
| Haruo Hosoya, Aapo Hyvärinen | Neural Computation | 28 | 7 | 1249–1264 | 2016 | 30.79 | |||
| 平均評価: / 5 ( 件のレビュー) | |||||||||
| 192 | Empowering Vision-Language Tuning with Machine Translation for Driving Scene Caption Generation | ||||||||
| Lei ZHOU, Ryohei SASANO, Koichi TAKEDA | IEICE Transactions on Information and Systems | 108 | 9 | 1082–1094 | 2025 | 30.78 | |||
| 平均評価: / 5 ( 件のレビュー) | |||||||||
| 193 | Resonator Networks, 2: Factorization Performance and Capacity Compared to Optimization-Based Methods | ||||||||
| Spencer J. Kent, E. Paxon Frady, Friedrich T. Sommer, Bruno A. Olshausen | Neural Computation | 32 | 12 | 2332–2388 | 2020 | 30.75 | |||
| 平均評価: / 5 ( 件のレビュー) | |||||||||
| 194 | Optimal Quadratic Binding for Relational Reasoning in Vector Symbolic Neural Architectures | ||||||||
| Naoki Hiratani, Haim Sompolinsky | Neural Computation | 35 | 2 | 105–155 | 2023 | 30.65 | |||
| 平均評価: / 5 ( 件のレビュー) | |||||||||
| 195 | Learning the Synaptic and Intrinsic Membrane Dynamics Underlying Working Memory in Spiking Neural Network Models | ||||||||
| Yinghao Li, Robert Kim, Terrence J. Sejnowski | Neural Computation | 33 | 12 | 3264–3287 | 2021 | 30.6 | |||
| 平均評価: / 5 ( 件のレビュー) | |||||||||
| 196 | Efficient Position Decoding Methods Based on Fluorescence Calcium Imaging in the Mouse Hippocampus | ||||||||
| Mengyu Tu, Ruohe Zhao, Avital Adler, Wen-Biao Gan, Zhe S. Chen | Neural Computation | 32 | 6 | 1144–1167 | 2020 | 30.6 | |||
| 平均評価: / 5 ( 件のレビュー) | |||||||||
| 197 | Conductance-Based Adaptive Exponential Integrate-and-Fire Model | ||||||||
| Tomasz Górski, Damien Depannemaecker, Alain Destexhe | Neural Computation | 33 | 1 | 41–66 | 2021 | 30.56 | |||
| 平均評価: / 5 ( 件のレビュー) | |||||||||
| 198 | Optimal Decoding of Dynamic Stimuli by Heterogeneous Populations of Spiking Neurons: A Closed-Form Approximation | ||||||||
| Yuval Harel, Ron Meir, Manfred Opper | Neural Computation | 30 | 8 | 2056–2112 | 2018 | 30.56 | |||
| 平均評価: / 5 ( 件のレビュー) | |||||||||
| 199 | The Determining Role of Covariances in Large Networks of Stochastic Neurons | ||||||||
| Vincent Painchaud, Patrick Desrosiers, Nicolas Doyon | Neural Computation | 36 | 6 | 1121–1162 | 2024 | 30.54 | |||
| 平均評価: / 5 ( 件のレビュー) | |||||||||
| 200 | Fast and Accurate Langevin Simulations of Stochastic Hodgkin-Huxley Dynamics | ||||||||
| Shusen Pu, Peter J. Thomas | Neural Computation | 32 | 10 | 1775–1835 | 2020 | 30.54 | |||
| 平均評価: / 5 ( 件のレビュー) | |||||||||