Connectionists: NEURAL COMPUTATION - January 1, 2020

[Terry Sejnowski]

Neural Computation - Volume 32, Number 1 - January 1, 2020

Available online for download now:
http://www.mitpressjournals.org/toc/neco/32/1
http://cognet.mit.edu/content/neural-computation

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Articles

Towards Training Recurrent Neural Networks for Lifelong Learning
Shagun Sodhani, Sarath Chandar and Yoshua Bengio  

A Continuous-Time Analysis of Distributed Stochastic Gradient
Nicholas M. Boffi, Jean-Jacques Slotine 

Letters

On Kernel Method-Based Connectionist Models and Supervised 
Deep Learning Without Backpropagation
Shiyu Duan, Shujian Yu, Yunmei Chen and Jose C. Principe 

Storing Object Dependent Sparse Codes in a 
Willshaw Associative Network
Luis Sa-Couto, Andreas Wichert

A Robust Model of Gated Working Memory
Anthony Strock, Xavier Hinaut and Nicolas Rougier 

An FPGA Implementation of Deep Spiking Neural Network 
for Low-Power and Fast Classification
Xiping Ju, Biao Fang, Rui Yan, Xiaoliang Xu and Huajin Tang 

Iterative Retrieval and Block Coding in Auto- and 
Hetero-Associative Memory
Andreas Knoblauch, Guenther Palm

Optimal Sampling of Parametric Families: 
Implications for Machine Learning
Adrian Emmanuel Georg Huber, Jithendar Anumula and Shih-Chii Liu 

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