Connectionists: NEURAL COMPUTATION - August 1, 2019 and September 1, 2019

[Terry Sejnowski]

Neural Computation - Volume 31, Number 8 - August 1, 2019

Available online for download now: 
http://www.mitpressjournals.org/toc/neco/31/8
http://cognet.mit.edu/content/neural-computation

Article

On the Organization of Grid and Place Cells: 
Neural De-noising via Subspace Learning
David.M. Schwartz, O. Ozan Koyluoglu 

Letters

Approximating the Architecture of Visual Cortex 
in a Convolutional Network
Bryan P Tripp 

On the Complexity of Logistic Regression Models
Nicola Bulso, Matteo Marsili, and Yasser Roudi 

When Not to Classify: Anomaly Detection of Attacks (ADA) 
on DNN Classifiers at Test Time
David J. Miller, Yujia Wang, and George Kesidis 

Learning Compositional Representations of Interacting Systems 
with Restricted Boltzmann Machines: Comparative Study of Lattice Proteins
Jerome Tubiana, Simona Cocco, and Remi Monasson 

Variable Selection for Nonparametric Learning 
with Power Series Kernels
Kota Matsui, Wataru Kumagai, Kenta Kanamori, 
Mitsuaki Nishikimi, and Takafumi Kanamori 

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Neural Computation - Volume 31, Number 9 - September 1, 2019

Available online for download now: 
http://www.mitpressjournals.org/toc/neco/31/9
http://cognet.mit.edu/content/neural-computation

Letters

Decoding Hidden Cognitive States From Behavior and Physiology 
Using a Bayesian Approach
Ali Yousefi, Ishita Basu, Angelique C Paulk, Noam Peled, 
Emad N Eskandar, Darin D Dougherty, Sydney S. Cash, 
Alik S Widge, and Uri T. Eden 

Sensitivity to Stimulus Irregularity Is Inherent to Neural Networks
Teun van Gilsc, Paul H.E. Tiesinga, Bernhard Englitz, and Marijn B. Martens 

Learning With Precise Spike Times: 
A New Decoding Algorithm for Liquid State Machines
Dorian Florescu, Daniel Coca 

A New Nonlinear Sparse Component Analysis for a 
Biologically Plausible Model of Neurons
S. M. Heidarieh, A. Ghazizadeh, and M. Jahed 

Hidden Markov Models Predict the Future Choice Better 
Than a PSTH-based Method
Encarni Marcos, Fanrizio Londei, and Aldo Genovesio 

Supervised Determined Source Separation With 
Multichannel Variational Autoencoder
Hirokazu Kameoka, Li Li, Shota Inoue, and Shoji Makino 

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