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Authors Journal Volume Issue Page Year PKV Page view
211 A Reinforcement Learning Neural Network for Robotic Manipulator Control
Yazhou Hu, Bailu Si Neural Computation 30 7 1983–2004 2018 41.44
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212 Unsupervised Learning of Temporal Abstractions With Slot-Based Transformers
Anand Gopalakrishnan, Kazuki Irie, Jürgen Schmidhuber, Sjoerd van Steenkiste Neural Computation 35 4 593–626 2023 41.02
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213 Optimal Burstiness in Populations of Spiking Neurons Facilitates Decoding of Decreases in Tonic Firing
Sylvia C. L. Durian, Mark Agrios, Gregory W. Schwartz Neural Computation 35 8 1363–1403 2023 40.91
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214 Inferring Mechanisms of Auditory Attentional Modulation with Deep Neural Networks
Ting-Yu Kuo, Yuanda Liao, Kai Li, Bo Hong, Xiaolin Hu Neural Computation 34 11 2273–2293 2022 40.87
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215 Variational Latent Gaussian Process for Recovering Single-Trial Dynamics from Population Spike Trains
Yuan Zhao, Il Memming Park Neural Computation 29 5 1293–1316 2017 40.86
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216 Bayesian Brains and the Rényi Divergence
Noor Sajid, Francesco Faccio, Lancelot Da Costa, Thomas Parr, Jürgen Schmidhuber Neural Computation 34 4 829–855 2022 40.84
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217 Quantifying and Maximizing the Information Flux in Recurrent Neural Networks
Claus Metzner, Marius E. Yamakou, Dennis Voelkl, Achim Schilling, Patrick Krauss Neural Computation 36 3 351–384 2024 40.81
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218 Might a Single Neuron Solve Interesting Machine Learning Problems Through Successive Computations on Its Dendritic Tree?
Ilenna Simone Jones, Konrad Paul Kording Neural Computation 33 6 1554–1571 2021 40.78
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219 Deep Learning with Dynamic Spiking Neurons and Fixed Feedback Weights
Arash Samadi, Timothy P. Lillicrap, Douglas B. Tweed Neural Computation 29 3 578–602 2017 40.74
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220 Online Reinforcement Learning Using a Probability Density Estimation
Alejandro Agostini, Enric Celaya Neural Computation 29 1 220–246 2017 40.71
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