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Neural Computation|December 15, 2023
Efficient Decoding of Large-Scale Neural Population Responses With Gaussian-Process Multiclass RegressionC Daniel Greenidge, Benjamin Scholl, Jacob L Yates, et al.Neural Computation|August 23, 2024
Spiking Neural Network Pressure SensorMichał Markiewicz, Ireneusz Brzozowski, Szymon JanuszNeural Computation|August 23, 2024
Trainable Reference Spikes Improve Temporal Information Processing of SNNs With Supervised LearningZeyuan Wang, Luis CruzNeural Computation|May 22, 2024
Associative Learning of an Unnormalized Successor RepresentationNiels J VeroskyNeural Computation|May 22, 2024
Desiderata for Normative Models of Synaptic PlasticityColin Bredenberg, Cristina SavinNeural Computation|July 12, 2023
On an Interpretation of ResNets via Gate-Network ControlChangcun HuangNeural Computation|July 11, 2023
Attention in a Family of Boltzmann Machines Emerging From Modern Hopfield NetworksToshihiro Ota, Ryo KarakidaNeural Computation|July 12, 2023
Composite Optimization Algorithms for Sigmoid NetworksHuixiong Chen, Qi YeNeural Computation|January 16, 2019
A Novel Optimization Framework to Improve the Computational Cost of Muscle Activation Prediction for a Neuromusculoskeletal SystemSeyed Mohammad Ali Rahmati, Mostafa Rostami, Alireza KarimiNeural Computation|March 19, 2020
Comparison of Different Spike Train Synchrony Measures Regarding Their Robustness to Erroneous Data From Bicuculline-Induced Epileptiform ActivityManuel Ciba, Robert Bestel, Christoph Nick, et al.Pageof 300