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Volume 32, Issue 1
January 2020
Neural Computation Cover Image for Volume 32, Issue 1
All Issues
ISSN 0899-7667
EISSN 1530-888X
In this Issue

Articles

Toward Training Recurrent Neural Networks for Lifelong Learning
Shagun Sodhani, Sarath Chandar, Yoshua Bengio
Neural Computation (2020) 32 (1): 1–35.
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A Continuous-Time Analysis of Distributed Stochastic Gradient
Nicholas M. Boffi, Jean-Jacques E. Slotine
Neural Computation (2020) 32 (1): 36–96.
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Letters

On Kernel Method–Based Connectionist Models and Supervised Deep Learning Without Backpropagation
Shiyu Duan, Shujian Yu, Yunmei Chen, Jose C. Principe
Neural Computation (2020) 32 (1): 97–135.
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Storing Object-Dependent Sparse Codes in a Willshaw Associative Network
Luis Sa-Couto, Andreas Wichert
Neural Computation (2020) 32 (1): 136–152.
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A Robust Model of Gated Working Memory
Anthony Strock, Xavier Hinaut, Nicolas P. Rougier
Neural Computation (2020) 32 (1): 153–181.
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An FPGA Implementation of Deep Spiking Neural Networks for Low-Power and Fast Classification
Xiping Ju, Biao Fang, Rui Yan, Xiaoliang Xu, Huajin Tang
Neural Computation (2020) 32 (1): 182–204.
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Iterative Retrieval and Block Coding in Autoassociative and Heteroassociative Memory
Andreas Knoblauch, Günther Palm
Neural Computation (2020) 32 (1): 205–260.
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Optimal Sampling of Parametric Families: Implications for Machine Learning
Adrian E. G. Huber, Jithendar Anumula, Shih-Chii Liu
Neural Computation (2020) 32 (1): 261–279.
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