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Neural Computation|September 18, 2020
Analyzing and Accelerating the Bottlenecks of Training Deep SNNs With BackpropagationRuizhi Chen, Ling Li
Neural Computation|September 18, 2020
Bicomplex Projection Rule for Complex-Valued Hopfield Neural NetworksMasaki Kobayashi
Neural Computation|March 19, 2020
Equivalence Projective Simulation as a Framework for Modeling Formation of Stimulus Equivalence ClassesAsieh Abolpour Mofrad, Anis Yazidi, Hugo L Hammer, et al.
Neural Computation|March 19, 2020
The Discriminative Kalman Filter for Bayesian Filtering with Nonlinear and Nongaussian Observation ModelsMichael C Burkhart, David M Brandman, Brian Franco, et al.
Neural Computation|March 19, 2020
The Stochastic Delta Rule: Faster and More Accurate Deep Learning Through Adaptive Weight NoiseNoah Frazier-Logue, Stephen José Hanson
Neural Computation|November 30, 2020
A Novel Neural Model With Lateral Interaction for Learning TasksDequan Jin, Ziyan Qin, Murong Yang, et al.
Neural Computation|January 13, 2022
Predicting the Future With a Scale-Invariant Temporal Memory for the PastWei Zhong Goh, Varun Ursekar, Marc W Howard
Neural Computation|November 22, 2018
Fixed Points of Competitive Threshold-Linear NetworksCarina Curto, Jesse Geneson, Katherine Morrison
Neural Computation|November 22, 2018
Supervised Dimensionality Reduction on Grassmannian for Image Set RecognitionTianci Liu, Zelin Shi, Yunpeng Liu
Neural Computation|February 16, 2019
Filtering Compensation for Delays and Prediction Errors during Sensorimotor ControlF Crevecoeur, M Gevers
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