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Neural Computation, Volume 31
Volume 31, Number 1, January 2019
- Gunnar Blohm, Paul Schrater, Konrad P. Körding
:
Ten Simple Rules for Organizing and Running a Successful Intensive Two-Week Course. - Terry Elliott:
First Passage Time Memory Lifetimes for Simple, Multistate Synapses: Beyond the Eigenvector Requirement. - Erik Rybakken, Nils A. Baas, Benjamin A. Dunn:
Decoding of Neural Data Using Cohomological Feature Extraction. - Carina Curto, Jesse Geneson
Fixed Points of Competitive Threshold-Linear Networks. - Tianci Liu, Zelin Shi, Yunpeng Liu:
Supervised Dimensionality Reduction on Grassmannian for Image Set Recognition. - Hugo C. C. Carneiro
The Exact VC Dimension of the WiSARD n-Tuple Classifier. - Haibin Li
Dual Neural Network Method for Solving Multiple Definite Integrals.
Volume 31, Number 2, February 2019
- Christophe Gardella, Olivier Marre
Modeling the Correlated Activity of Neural Populations: A Review. - Michael J. Berry II, Felix Lebois, Avi Ziskind
Functional Diversity in the Retina Improves the Population Code. - Benjamin Scellier, Yoshua Bengio:
Equivalence of Equilibrium Propagation and Recurrent Backpropagation. - Conor J. Houghton
Calculating the Mutual Information between Two Spike Trains. - W. Shane Grant, Laurent Itti:
Learning Invariant Features in Modulatory Networks through Conflict and Ambiguity. - Jeffrey E. Arle
Dynamic Computational Model of the Human Spinal Cord Connectome. - Andersen Man Shun Ang
Accelerating Nonnegative Matrix Factorization Algorithms Using Extrapolation. - Sebastian Gottwald
Systems of Bounded Rational Agents with Information-Theoretic Constraints.
Volume 31, Number 3, March 2019
- Peter L. Bartlett, David P. Helmbold, Philip M. Long:
Gradient Descent with Identity Initialization Efficiently Learns Positive-Definite Linear Transformations by Deep Residual Networks. - Enzo Marinari:
Forgetting Memories and Their Attractiveness. - Haojie Hu, Rong Wang, Xiaojun Yang, Feiping Nie
Scalable and Flexible Unsupervised Feature Selection. - Michael Hauser, Sean Gunn, Samer Saab Jr.
State-Space Representations of Deep Neural Networks. - Anh Tuan Nguyen
Advancing System Performance with Redundancy: From Biological to Artificial Designs. - Seyed Mohammad Ali Rahmati, Mostafa Rostami
A Novel Optimization Framework to Improve the Computational Cost of Muscle Activation Prediction for a Neuromusculoskeletal System. - DJ Strouse, David J. Schwab:
The Information Bottleneck and Geometric Clustering.
Volume 31, Number 4, April 2019
- Diego A. Mesa, Justin Tantiongloc, Marcela Mendoza, Sanggyun Kim, Todd P. Coleman:
A Distributed Framework for the Construction of Transport Maps. - Matteo di Volo
Biologically Realistic Mean-Field Models of Conductance-Based Networks of Spiking Neurons with Adaptation. - Zoran Tiganj, Samuel J. Gershman, Per B. Sederberg, Marc W. Howard:
Estimating Scale-Invariant Future in Continuous Time. - Daniel R. Kepple, Hamza Giaffar, Dmitry Rinberg, Alexei A. Koulakov:
Deconstructing Odorant Identity via Primacy in Dual Networks. - Frédéric Crevecoeur, Michel Gevers:
Filtering Compensation for Delays and Prediction Errors during Sensorimotor Control. - Li Jing, Çaglar Gülçehre
Gated Orthogonal Recurrent Units: On Learning to Forget. - Yohei Saito, Takuya Kato:
Decreasing the Size of the Restricted Boltzmann Machine. - Gonzalo Safont, Addisson Salazar
Multiclass Alpha Integration of Scores from Multiple Classifiers.
Volume 31, Number 5, May 2019
- Shun-ichi Amari, Ryo Karakida, Masafumi Oizumi, Marco Cuturi:
Information Geometry for Regularized Optimal Transport and Barycenters of Patterns. 827-848 - Jan Gosmann, Chris Eliasmith:
Vector-Derived Transformation Binding: An Improved Binding Operation for Deep Symbol-Like Processing in Neural Networks. 849-869 - Thomas Bose, Andreagiovanni Reina, James A. R. Marshall:
Inhibition and Excitation Shape Activity Selection: Effect of Oscillations in a Decision-Making Circuit. 870-896 - Roman Vyskovský, Daniel Schwarz
Brain Morphometry Methods for Feature Extraction in Random Subspace Ensemble Neural Network Classification of First-Episode Schizophrenia. 897-918 - Xianlun Tang, Wei-Chang Ma, De-Song Kong, Wei Li:
Semisupervised Deep Stacking Network with Adaptive Learning Rate Strategy for Motor Imagery EEG Recognition. 919-942 - Peng Yi
Multiple Timescale Online Learning Rules for Information Maximization with Energetic Constraints. 943-979 - Purushottam D. Dixit:
Introducing User-Prescribed Constraints in Markov Chains for Nonlinear Dimensionality Reduction. 980-997 - Heiko Hoffmann
Sparse Associative Memory. 998-1014
Volume 31, Number 6, June 2019
- John A. Berkowitz, Tatyana O. Sharpee
Quantifying Information Conveyed by Large Neuronal Populations. 1015-1047 - Vafa Andalibi, Henri Hokkanen
Controlling Complexity of Cerebral Cortex Simulations - I: CxSystem, a Flexible Cortical Simulation Framework. 1048-1065 - Henri Hokkanen
Controlling Complexity of Cerebral Cortex Simulations - II: Streamlined Microcircuits. 1066-1084 - Po-He Tseng, Núria Armengol Urpi, Mikhail Lebedev
Decoding Movements from Cortical Ensemble Activity Using a Long Short-Term Memory Recurrent Network. 1085-1113 - Mina A. Khoei, Sio-Hoi Ieng, Ryad Benosman:
Asynchronous Event-Based Motion Processing: From Visual Events to Probabilistic Sensory Representation. 1114-1138 - Francesca Mastrogiuseppe
A Geometrical Analysis of Global Stability in Trained Feedback Networks. 1139-1182 - Suwa Xu, Bochao Jia, Faming Liang:
Learning Moral Graphs in Construction of High-Dimensional Bayesian Networks for Mixed Data. 1183-1214 - Yunhua Chen, Yingchao Mai, Jinsheng Xiao
Improving the Antinoise Ability of DNNs via a Bio-Inspired Noise Adaptive Activation Function Rand Softplus. 1215-1233
Volume 31, Number 7, July 2019
- Yong Yu, Xiaosheng Si, Changhua Hu, Jianxun Zhang
A Review of Recurrent Neural Networks: LSTM Cells and Network Architectures. 1235-1270 - Anup Das, Daniel Sexton
Characterizing Brain Connectivity From Human Electrocorticography Recordings With Unobserved Inputs During Epileptic Seizures. 1271-1326 - Kunling Geng
Multi-Input, Multi-Output Neuronal Mode Network Approach to Modeling the Encoding Dynamics and Functional Connectivity of Neural Systems. 1327-1355 - Guanghao Sun, Shaomin Zhang
Effective Dimensionality Reduction for Visualizing Neural Dynamics by Laplacian Eigenmaps. 1356-1379 - Nima Dehghani, Ralf D. Wimmer:
A Computational Perspective of the Role of the Thalamus in Cognition. 1380-1418 - Lennart Gustafsson:
A Case of Near-Optimal Sensory Integration Based on Kohonen Self-Organizing Maps. 1419-1429 - Ryan Pyle, Robert Rosenbaum:
A Reservoir Computing Model of Reward-Modulated Motor Learning and Automaticity. 1430-1461 - Kenji Kawaguchi, Jiaoyang Huang, Leslie Pack Kaelbling:
Effect of Depth and Width on Local Minima in Deep Learning. 1462-1498 - Amandeep Singh Bhatia
Matrix Product State-Based Quantum Classifier. 1499-1517
Volume 31, Number 8, August 2019
- David M. Schwartz
On the Organization of Grid and Place Cells: Neural Denoising via Subspace Learning. 1519-1550 - Bryan P. Tripp
Approximating the Architecture of Visual Cortex in a Convolutional Network. 1551-1591 - Nicola Bulso, Matteo Marsili
On the Complexity of Logistic Regression Models. 1592-1623 - David J. Miller, Yujia Wang, George Kesidis:
When Not to Classify: Anomaly Detection of Attacks (ADA) on DNN Classifiers at Test Time. 1624-1670 - Jérôme Tubiana
Learning Compositional Representations of Interacting Systems with Restricted Boltzmann Machines: Comparative Study of Lattice Proteins. 1671-1717 - Kota Matsui, Wataru Kumagai, Kenta Kanamori, Mitsuaki Nishikimi, Takafumi Kanamori:
Variable Selection for Nonparametric Learning with Power Series Kernels. 1718-1750
Volume 31, Number 9, September 2019
- Ali Yousefi, Ishita Basu, Angelique C. Paulk, Noam Peled, Emad N. Eskandar, Darin D. Dougherty, Sydney S. Cash, Alik S. Widge, Uri T. Eden
Decoding Hidden Cognitive States From Behavior and Physiology Using a Bayesian Approach. 1751-1788 - Teun van Gils, Paul H. E. Tiesinga, Bernhard Englitz, Marijn B. Martens
Sensitivity to Stimulus Irregularity Is Inherent in Neural Networks. 1789-1824 - Dorian Florescu, Daniel Coca
Learning with Precise Spike Times: A New Decoding Algorithm for Liquid State Machines. 1825-1852 - S. M. Heidarieh, Mehran Jahed, Ali Ghazizadeh:
A New Nonlinear Sparse Component Analysis for a Biologically Plausible Model of Neurons. 1853-1873 - Encarni Marcos, Fabrizio Londei
Hidden Markov Models Predict the Future Choice Better Than a PSTH-Based Method. 1874-1890 - Hirokazu Kameoka, Li Li, Shota Inoue, Shoji Makino
Supervised Determined Source Separation with Multichannel Variational Autoencoder. 1891-1914
Volume 31, Number 10, October 2019
- Jagadish Bandaru
A Real-Time Health 4.0 Framework with Novel Feature Extraction and Classification for Brain-Controlled IoT-Enabled Environments. 1915-1944 - Brian A. Mitchell, Nina Lauharatanahirun, Javier O. Garcia, Nicholas F. Wymbs, Scott T. Grafton, Jean M. Vettel, Linda R. Petzold:
A Minimum Free Energy Model of Motor Learning. 1945-1963 - Yuxiu Shao
A Mechanism for Synaptic Copy Between Neural Circuits. 1964-1984 - Chen Beer, Omri Barak:
One Step Back, Two Steps Forward: Interference and Learning in Recurrent Neural Networks. 1985-2003 - Alexander J. A. Ty, Zheng Fang, Rivver A. Gonzalez, Paul J. Rozdeba, Henry D. I. Abarbanel:
Machine Learning of Time Series Using Time-Delay Embedding and Precision Annealing. 2004-2024
Volume 31, Number 11, November 2019
- Ahmadreza Ahmadi, Jun Tani:
A Novel Predictive-Coding-Inspired Variational RNN Model for Online Prediction and Recognition. 2025-2074 - Roozbeh Farhoodi, Khashayar Filom, Ilenna Simone Jones, Konrad P. Körding
On Functions Computed on Trees. 2075-2137 - Luis Gonzalo Sánchez Giraldo, Odelia Schwartz:
Integrating Flexible Normalization into Midlevel Representations of Deep Convolutional Neural Networks. 2138-2176 - Saurabh Bhaskar Shaw, Kiret Dhindsa
Capturing the Forest but Missing the Trees: Microstates Inadequate for Characterizing Shorter-Scale EEG Dynamics. 2177-2211 - Terry Elliott:
Dynamic Integrative Synaptic Plasticity Explains the Spacing Effect in the Transition from Short- to Long-Term Memory. 2212-2251 - Felix Weissenberger, Marcelo Matheus Gauy
Mutual Inhibition with Few Inhibitory Cells via Nonlinear Inhibitory Synaptic Interaction. 2252-2265 - Xin Yao, Tianchi Huang, Chenglei Wu, Rui-Xiao Zhang, Lifeng Sun:
Adversarial Feature Alignment: Avoid Catastrophic Forgetting in Incremental Task Lifelong Learning. 2266-2291
Volume 31, Number 12, December 2019
- Kenji Kawaguchi, Jiaoyang Huang, Leslie Pack Kaelbling:
Every Local Minimum Value Is the Global Minimum Value of Induced Model in Nonconvex Machine Learning. 2293-2323 - Davide Spalla, Alexis M. Dubreuil, Sophie Rosay, Rémi Monasson, Alessandro Treves
Can Grid Cell Ensembles Represent Multiple Spaces? 2324-2347 - Tian Han, Xianglei Xing, Jiawen Wu, Ying Nian Wu:
Replicating Neuroscience Observations on ML/MF and AM Face Patches by Deep Generative Model. 2348-2367 - Mengwen Yuan, Xi Wu, Rui Yan, Huajin Tang:
Reinforcement Learning in Spiking Neural Networks with Stochastic and Deterministic Synapses. 2368-2389 - Takuya Isomura
Bayesian Filtering with Multiple Internal Models: Toward a Theory of Social Intelligence. 2390-2431 - Tomoki Yoshida, Ichiro Takeuchi, Masayuki Karasuyama:
Safe Triplet Screening for Distance Metric Learning. 2432-2491 - Gabriel A. Silva:
The Effect of Signaling Latencies and Node Refractory States on the Dynamics of Networks. 2492-2522 - Lili Su, Chia-Jung Chang, Nancy A. Lynch:
Spike-Based Winner-Take-All Computation: Fundamental Limits and Order-Optimal Circuits. 2523-2561 - Philip M. Long, Hanie Sedghi:
On the Effect of the Activation Function on the Distribution of Hidden Nodes in a Deep Network. 2562-2580
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