Connectionists: NEURAL COMPUTATION - December 1, 2021

[Terry Sejnowski]

Neural Computation - Volume 33, Number 12 - December 1, 2021

available online for download now:
http://www.mitpressjournals.org/toc/neco/33/12
http://cognet.mit.edu/content/neural-computation

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Articles

A Correspondence Between Normalization Strategies
in Artificial and Biological Neural Networks
Saket Navlakha, Yang Shen, and Julia Wang

On PDE Characterization of Smooth Hierarchical Functions
Computed by Neural Networks
Khashayar Filom, Roozbeh Farhoodi, and Konrad Paul Kording

Letters

Learning the Synaptic and Intrinsic Membrane Dynamics
Underlying Working Memory in Spiking Neural Network Models
Yinghao Li, Robert Kim, and Terrence J. Sejnowski

Burster Reconstruction Considering Unmeasurable Variables
in the Epileptor Model
João Angelo Ferres Brogin, Jean Faber Ferreira de Abreu,
and Douglas Domingues Bueno

Simple Convolutional Based Models: 
Are They Learning the Task or the Data?
Luis Sa-Couto, Andreas Wichert

Asymmetric Weights and Retrieval Practice in an 
Autoassociative Neural Network Model of Paired-associate Learning
Sneha Aenugu, David E. Huber

Semi-Supervised Ordinal Regression Based on 
Empirical Risk Minimization
Taira Tsuchiya, Nontawat Charoenphakdee, Issei Sato, 
and Masashi Sugiyama

Bayesian Quadrature Optimization for 
Probability Threshold Robustness Measure
Shogo Iwazaki, Yu Inatsu, and Ichiro Takeuchi

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