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Authors Journal Volume Issue Page Year PKV Page view
221 Conductance-Based Adaptive Exponential Integrate-and-Fire Model
Tomasz Górski, Damien Depannemaecker, Alain Destexhe Neural Computation 33 1 41–66 2021 40.7
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222 A Predictive-Coding Network That Is Both Discriminative and Generative
Wei Sun, Jeff Orchard Neural Computation 32 10 1836–1862 2020 40.67
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223 Equivalence of Equilibrium Propagation and Recurrent Backpropagation
Benjamin Scellier, Yoshua Bengio Neural Computation 31 2 312–329 2019 40.64
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224 Statistical Properties of Color Matching Functions
María da Fonseca, Inés Samengo Neural Computation 33 9 2578–2601 2021 40.61
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225 Quantifying Information Conveyed by Large Neuronal Populations
John A. Berkowitz, Tatyana O. Sharpee Neural Computation 31 6 1015–1047 2019 40.61
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226 The Functional Segregation and Integration Model: Mixture Model Representations of Consistent and Variable Group-Level Connectivity in fMRI
Nathan W. Churchill, Kristoffer Madsen, Morten Mørup Neural Computation 28 10 2250–2290 2016 40.59
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227 Linear Codes for Hyperdimensional Computing
Netanel Raviv Neural Computation 36 6 1084–1120 2024 40.55
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228 A Normative Account of Confirmation Bias During Reinforcement Learning
Germain Lefebvre, Christopher Summerfield, Rafal Bogacz Neural Computation 34 2 307–337 2022 40.47
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229 Machine Learning of Time Series Using Time-Delay Embedding and Precision Annealing
Alexander J. A. Ty, Zheng Fang, Rivver A. Gonzalez, Paul. J. Rozdeba, Henry D. I. Abarbanel Neural Computation 31 10 2004–2024 2019 40.46
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230 A Comparative Study of Pairwise Learning Methods Based on Kernel Ridge Regression
Michiel Stock, Tapio Pahikkala, Antti Airola, Bernard De Baets, Willem Waegeman Neural Computation 30 8 2245–2283 2018 40.44
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