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Neural Computation|September 2, 2021
Completion of the Infeasible Actions of Others: Goal Inference by Dynamical InvariantTakuma Torii, Shohei HidakaNeural Computation|September 2, 2021
A Correspondence Between Normalization Strategies in Artificial and Biological Neural NetworksYang Shen, Julia Wang, Saket NavlakhaNeural Computation|September 8, 2021
Shaping Dynamics With Multiple Populations in Low-Rank Recurrent NetworksManuel Beiran, Alexis Dubreuil, Adrian Valente, et al.Neural Computation|September 8, 2021
On the Achievability of Blind Source Separation for High-Dimensional Nonlinear Source MixturesTakuya Isomura, Taro ToyoizumiNeural Computation|September 8, 2021
Reinforcement Learning in Sparse-Reward Environments With Hindsight Policy GradientsPaulo Rauber, Avinash Ummadisingu, Filipe Mutz, et al.Neural Computation|February 6, 2023
IAN: Iterated Adaptive Neighborhoods for Manifold Learning and Dimensionality EstimationLuciano Dyballa, Steven W ZuckerNeural Computation|October 29, 2025
Model Predictive Control on the Neural ManifoldChristof Fehrman, C Daniel MelizaNeural Computation|September 2, 2021
Dynamic Spatiotemporal Pattern Recognition With Recurrent Spiking Neural NetworkJiangrong Shen, Jian K Liu, Yueming WangNeural Computation|September 2, 2021
Asymptotic Input-Output Relationship Predicts Electric Field Effect on Sublinear Dendritic Integration of AMPA SynapsesYaqin Fan, Xile Wei, Guosheng Yi, et al.Neural Computation|September 2, 2021
Parametric UMAP Embeddings for Representation and Semisupervised LearningTim Sainburg, Leland McInnes, Timothy Q GentnerPageof 299