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Authors Journal Volume Issue Page Year PKV Page view
261 Active Inference: A Process Theory
Karl Friston, Thomas FitzGerald, Francesco Rigoli, Philipp Schwartenbeck, Giovanni Pezzulo Neural Computation 29 1 1–49 2017 38.97
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262 Spontaneous Emergence of Robustness to Light Variation in CNNs With a Precortically Inspired Module
J. Petkovic, R. Fioresi Neural Computation 36 9 1832–1853 2024 38.93
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263 Efficient Decoding of Compositional Structure in Holistic Representations
Denis Kleyko, Connor Bybee, Ping-Chen Huang, Christopher J. Kymn, Bruno A. Olshausen Neural Computation 35 7 1159–1186 2023 38.9
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264 The Population Tracking Model: A Simple, Scalable Statistical Model for Neural Population Data
Cian O’Donnell, J. Tiago Gonçalves, Nick Whiteley, Carlos Portera-Cailliau, Terrence J. Sejnowski Neural Computation 29 1 50–93 2017 38.89
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265 Unsupervised Discovery, Control, and Disentanglement of Semantic Attributes With Applications to Anomaly Detection
William Paul, I-Jeng Wang, Fady Alajaji, Philippe Burlina Neural Computation 33 3 802–826 2021 38.87
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266 Echoes of the Past: A Unified Perspective on Fading Memory and Echo States
Juan-Pablo Ortega, Florian Rossmannek Neural Computation 38 5 765–782 2026 38.72
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267 Brain Morphometry Methods for Feature Extraction in Random Subspace Ensemble Neural Network Classification of First-Episode Schizophrenia
Roman Vyškovský, Daniel Schwarz, Tomáš Kašpárek Neural Computation 31 5 897–918 2019 38.65
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268 Expansion of Information in the Binary Autoencoder With Random Binary Weights
Viacheslav M. Osaulenko Neural Computation 33 11 3073–3101 2021 38.64
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269 The Effect of Class Imbalance on Precision-Recall Curves
Christopher K. I. Williams Neural Computation 33 4 853–857 2021 38.63
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270 The Stochastic Delta Rule: Faster and More Accurate Deep Learning Through Adaptive Weight Noise
Noah Frazier-Logue, Stephen José Hanson Neural Computation 32 5 1018–1032 2020 38.58
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