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Neural Computation, Volume 30
Volume 30, Number 1, January 2018
- Shun-ichi Amari, Tomoko Ozeki, Ryo Karakida, Yuki Yoshida, Masato Okada:
Dynamics of Learning in MLP: Natural Gradient and Singularity Revisited. - Mohammad Javad Faraji, Kerstin Preuschoff, Wulfram Gerstner
:
Balancing New against Old Information: The Role of Puzzlement Surprise in Learning. - Cengiz Pehlevan
Why Do Similarity Matching Objectives Lead to Hebbian/Anti-Hebbian Networks? - Jacob Østergaard
Capturing Spike Variability in Noisy Izhikevich Neurons Using Point Process Generalized Linear Models. - Kunling Geng
Mechanism-Based and Input-Output Modeling of the Key Neuronal Connections and Signal Transformations in the CA3-CA1 Regions of the Hippocampus. - Osamu Hoshino, Mei Hong Zheng, Kazuo Watanabe:
Improved Perceptual Learning by Control of Extracellular GABA Concentration by Astrocytic Gap Junctions. - Rasmus Troelsgård, Lars Kai Hansen
Sequence Classification Using Third-Order Moments. - Minkyu Choi, Jun Tani:
Predictive Coding for Dynamic Visual Processing: Development of Functional Hierarchy in a Multiple Spatiotemporal Scales RNN Model. - Sizhen Du, Guojie Song, Lei Han, Haikun Hong:
Temporal Causal Inference with Time Lag.
Volume 30, Number 2, February 2018
- Jing Fang, Naima Rüther, Christian Bellebaum, Laurenz Wiskott
The Interaction between Semantic Representation and Episodic Memory. - Christoph Börgers, R. Melody Takeuchi, Daniel T. Rosebrock
On Rhythms in Neuronal Networks with Recurrent Excitation. - N. F. Hardy, Dean V. Buonomano:
Encoding Time in Feedforward Trajectories of a Recurrent Neural Network Model. - Zhe Li
A Single, Continuously Applied Control Policy for Modeling Reaching Movements with and without Perturbation. - Noam Brezis, Zohar Z. Bronfman, Marius Usher:
A Perceptual-Like Population-Coding Mechanism of Approximate Numerical Averaging. - Qiulei Dong, Hong Wang, Zhanyi Hu:
Statistics of Visual Responses to Image Object Stimuli from Primate AIT Neurons to DNN Neurons. - Hiroaki Sasaki, Voot Tangkaratt, Gang Niu, Masashi Sugiyama
Sufficient Dimension Reduction via Direct Estimation of the Gradients of Logarithmic Conditional Densities. - Jianguang Zhang, Jianmin Jiang:
Rank-Optimized Logistic Matrix Regression toward Improved Matrix Data Classification. - Xiaowei Zhao, Zhigang Ma, Zhi Li, Zhihui Li:
Joint Concept Correlation and Feature-Concept Relevance Learning for Multilabel Classification. - Dylan R. Muir:
Feedforward Approximations to Dynamic Recurrent Network Architectures.
Volume 30, Number 3, March 2018
- Aaron R. Voelker, Chris Eliasmith:
Improving Spiking Dynamical Networks: Accurate Delays, Higher-Order Synapses, and Time Cells. - I. Tal, Moshe Abeles:
Imaging the Spatiotemporal Dynamics of Cognitive Processes at High Temporal Resolution. - Wiktor Mlynarski, Josh H. McDermott:
Learning Midlevel Auditory Codes from Natural Sound Statistics. - Dorian Florescu, Daniel Coca
Identification of Linear and Nonlinear Sensory Processing Circuits from Spiking Neuron Data. - Joseph Snider:
Indistinguishable Synapses Lead to Sparse Networks. - Aritra Bhaduri, Amitava Banerjee, Subhrajit Roy, Sougata Kar, Arindam Basu
Spiking Neural Classifier with Lumped Dendritic Nonlinearity and Binary Synapses: A Current Mode VLSI Implementation and Analysis. - Melika Payvand, Luke Theogarajan:
From Winner-Takes-All to Winners-Share-All: Exploiting the Information Capacity in Temporal Codes. - Takashi Kanamaru
Quantifying Strength of Chaos in the Population Firing Rate of Neurons. - Wei Wang, Hao Wang, Chen Zhang, Yang Gao
Cross-Domain Metric and Multiple Kernel Learning Based on Information Theory.
Volume 30, Number 4, April 2018
- Çaglar Gülçehre
Dynamic Neural Turing Machine with Continuous and Discrete Addressing Schemes. - Wentao Huang
Information-Theoretic Bounds and Approximations in Neural Population Coding. - Johannes Leugering
A Unifying Framework of Synaptic and Intrinsic Plasticity in Neural Populations. - Tomas Van Pottelbergh, Guillaume Drion
Robust Modulation of Integrate-and-Fire Models. - Adam S. Charles, Mijung Park, J. Patrick Weller, Gregory D. Horwitz, Jonathan W. Pillow:
Dethroning the Fano Factor: A Flexible, Model-Based Approach to Partitioning Neural Variability. - Yingzhuo Zhang, Noa Malem-Shinitski, Stephen A. Allsop, Kay Tye, Demba E. Ba:
Estimating a Separably Markov Random Field from Binary Observations. - Kun Zhan, Jinhui Shi, Jing Wang, Haibo Wang, Yuange Xie:
Adaptive Structure Concept Factorization for Multiview Clustering. - Kyuengbo Min, Masami Iwamoto, Shinji Kakei, Hideyuki Kimpara
Muscle Synergy-Driven Robust Motion Control. - Alireza Saeedi
Coexistence of Stochastic Oscillations and Self-Organized Criticality in a Neuronal Network: Sandpile Model Application.
Volume 30, Number 5, May 2018
- Björn Weghenkel
Slowness as a Proxy for Temporal Predictability: An Empirical Comparison. - Roman A. Sandler, Kunling Geng
Designing Patient-Specific Optimal Neurostimulation Patterns for Seizure Suppression. - Hannah Choi
Predictive Coding in Area V4: Dynamic Shape Discrimination under Partial Occlusion. - Diego Fasoli
Pattern Storage, Bifurcations, and Groupwise Correlation Structure of an Exactly Solvable Asymmetric Neural Network Model. - Reinoud Maex
An Interneuron Circuit Reproducing Essential Spectral Features of Field Potentials. - Yin Zhang, Steven M. Chase:
Optimizing the Usability of Brain-Computer Interfaces. - Ueli Rutishauser
Solving Constraint-Satisfaction Problems with Distributed Neocortical-Like Neuronal Networks. - Shoubo Hu, Zhitang Chen, Laiwan Chan:
A Kernel Embedding-Based Approach for Nonstationary Causal Model Inference. - Lingling Zhang, Jun Liu, Minnan Luo, Xiaojun Chang
Deep Semisupervised Zero-Shot Learning with Maximum Mean Discrepancy.
Volume 30, Number 6, June 2018
- Edward Paxon Frady, Denis Kleyko
A Theory of Sequence Indexing and Working Memory in Recurrent Neural Networks. - Friedemann Zenke
SuperSpike: Supervised Learning in Multilayer Spiking Neural Networks. - Hesham Mostafa, Gert Cauwenberghs
A Learning Framework for Winner-Take-All Networks with Stochastic Synapses. - Matias Calderini, Sophie Zhang, Nareg Berberian
Optimal Readout of Correlated Neural Activity in a Decision-Making Circuit. - María da Fonseca
Novel Perceptually Uniform Chromatic Space. - Qi-dong Liu, Ruisheng Zhang
Robust MST-Based Clustering Algorithm. - Bei Wu, Bifan Wei
Facet Annotation by Extending CNN with a Matching Strategy. - Chien-Chih Wang, Kent Loong Tan, Chun-Ting Chen, Yu-Hsiang Lin, S. Sathiya Keerthi, Dhruv Mahajan, S. Sundararajan, Chih-Jen Lin:
Distributed Newton Methods for Deep Neural Networks.
Volume 30, Number 7, July 2018
- Vitaly L. Galinsky, Antígona Martínez
Joint Estimation of Effective Brain Wave Activation Modes Using EEG/MEG Sensor Arrays and Multimodal MRI Volumes. - George Dimitriadis, Joana P. Neto
t-SNE Visualization of Large-Scale Neural Recordings. - Xiaopeng Guo, Rencan Nie, Jinde Cao, Dongming Zhou, Wenhua Qian:
Fully Convolutional Network-Based Multifocus Image Fusion. - Irina Higgins, Simon M. Stringer, Jan W. H. Schnupp
A Computational Account of the Role of Cochlear Nucleus and Inferior Colliculus in Stabilizing Auditory Nerve Firing for Auditory Category Learning. - Alan Paris, Azadeh Vosoughi, Stephen A. Berman, George K. Atia:
Hidden Quantum Processes, Quantum Ion Channels, and 1/fθ-Type Noise. - Yung-Kyun Noh, Masashi Sugiyama
Bias Reduction and Metric Learning for Nearest-Neighbor Estimation of Kullback-Leibler Divergence. - Gavin W. Jenkins, Paul F. Tupper:
A Dynamic Neural Gradient Model of Two-Item and Intermediate Transposition. - Yazhou Hu, Bailu Si:
A Reinforcement Learning Neural Network for Robotic Manipulator Control. - Tomoumi Takase
Why Does Large Batch Training Result in Poor Generalization? A Comprehensive Explanation and a Better Strategy from the Viewpoint of Stochastic Optimization.
Volume 30, Number 8, August 2018
- Henry D. I. Abarbanel, Paul J. Rozdeba
Machine Learning: Deepest Learning as Statistical Data Assimilation Problems. - Yuval Harel, Ron Meir, Manfred Opper:
Optimal Decoding of Dynamic Stimuli by Heterogeneous Populations of Spiking Neurons: A Closed-Form Approximation. - Dennis Forster, Abdul-Saboor Sheikh, Jörg Lücke:
Neural Simpletrons: Learning in the Limit of Few Labels with Directed Generative Networks. - Shizhao Liu, Andres D. Grosmark, Zhe Chen:
Methods for Assessment of Memory Reactivation. - Javier J. How
Evidence of Rentian Scaling of Functional Modules in Diverse Biological Networks. - Michiel Stock, Tapio Pahikkala
A Comparative Study of Pairwise Learning Methods Based on Kernel Ridge Regression. - Furui Liu, Laiwan Chan:
Confounder Detection in High-Dimensional Linear Models Using First Moments of Spectral Measures.
Volume 30, Number 9, September 2018
- Thomas Parr
The Discrete and Continuous Brain: From Decisions to Movement - And Back Again. - Joaquin Rapela, Marissa Westerfield, Jeanne Townsend:
A New Foreperiod Effect on Intertrial Phase Coherence. Part I: Existence and Behavioral Relevance. - Moritz B. Milde
Spiking Elementary Motion Detector in Neuromorphic Systems. - Wenyuan Li, Igor V. Ovchinnikov, Honglin Chen, Zhe Wang, Albert Lee, Houchul Lee, Carlos Cepeda, Robert N. Schwartz, Karlheinz Meier, Kang L. Wang:
A Basic Phase Diagram of Neuronal Dynamics. - Robert D'Angelo, Richard Wood, Nathan Lowry, Geremy Freifeld, Haiyao Huang, Christopher D. Salthouse, Brent Hollosi, Matthew Muresan, Wes Uy, Nhut Tran, Armand Chery, Dorothy C. Poppe, Sameer Sonkusale:
A Computationally Efficient Visual Saliency Algorithm Suitable for an Analog CMOS Implementation. - Zhitong Qiao, Yan Han, Xiaoxia Han, Han Xu, Will X. Y. Li, Dong Song
ASIC Implementation of a Nonlinear Dynamical Model for Hippocampal Prosthesis. - Najah F. Ghalyan, David J. Miller, Asok Ray:
A Locally Optimal Algorithm for Estimating a Generating Partition from an Observed Time Series and Its Application to Anomaly Detection. - Sarah Schwöbel
Active Inference, Belief Propagation, and the Bethe Approximation. - Qinglong Wang, Kaixuan Zhang, Alexander G. Ororbia II, Xinyu Xing, Xue Liu, C. Lee Giles:
An Empirical Evaluation of Rule Extraction from Recurrent Neural Networks.
Volume 30, Number 10, October 2018
- SueYeon Chung
Learning Data Manifolds with a Cutting Plane Method. - Chang Sub Kim
Recognition Dynamics in the Brain under the Free Energy Principle. - Stephen J. Verzi
Computing with Spikes: The Advantage of Fine-Grained Timing. - Nicolai Waniek:
Hexagonal Grid Fields Optimally Encode Transitions in Spatiotemporal Sequences. - Stephanie Reynolds, Therese Abrahamsson, Per Jesper Sjöström
CosMIC: A Consistent Metric for Spike Inference from Calcium Imaging. - Michael Everett Rule, Guido Sanguinetti
Autoregressive Point Processes as Latent State-Space Models: A Moment-Closure Approach to Fluctuations and Autocorrelations. - Haifeng Zhao, Siqi Wang, Zheng Wang:
Multiclass Classification and Feature Selection Based on Least Squares Regression with Large Margin. - Richard M. Golden
Adaptive Learning Algorithm Convergence in Passive and Reactive Environments. - Tingwei Gao, Yueting Chai:
Improving Stock Closing Price Prediction Using Recurrent Neural Network and Technical Indicators.
Volume 30, Number 11, November 2018
- Yingyi Chen, Qianqian Cheng, Yanjun Cheng, Hao Yang, HuiHui Yu:
Applications of Recurrent Neural Networks in Environmental Factor Forecasting: A Review. - Beatrice A. Golomb:
Diplomats' Mystery Illness and Pulsed Radiofrequency/Microwave Radiation. - David M. Brandman, Michael C. Burkhart
Robust Closed-Loop Control of a Cursor in a Person with Tetraplegia using Gaussian Process Regression. - Ulisse Ferrari
A Simple Model for Low Variability in Neural Spike Trains. - Yoram Baram:
Circuit Polarity Effect of Cortical Connectivity, Activity, and Memory. - Hongqiao Wang, Jinglai Li
Adaptive Gaussian Process Approximation for Bayesian Inference with Expensive Likelihood Functions. - Kishan Wimalawarne, Makoto Yamada
Convex Coupled Matrix and Tensor Completion. - Rongxin Bao, Xu Yuan, Zhikui Chen, Ruixin Ma:
Cross-Entropy Pruning for Compressing Convolutional Neural Networks.
Volume 30, Number 12, December 2018
- Dmitry Krotov, John J. Hopfield:
Dense Associative Memory Is Robust to Adversarial Inputs. - Sander W. Keemink
Unconscious Biases in Neural Populations Coding Multiple Stimuli. - Cunle Qian, Xuyun Sun, Shaomin Zhang
Nonlinear Modeling of Neural Interaction for Spike Prediction Using the Staged Point-Process Model. - Ian H. Stevenson:
Omitted Variable Bias in GLMs of Neural Spiking Activity. - Andrés Pomi, Eduardo Mizraji, Juan Lin:
Tensor Representation of Topographically Organized Semantic Spaces. - Hong Zhu, Li-Zhi Liao
Multi-Instance Dimensionality Reduction via Sparsity and Orthogonality. - Yoichi Hayashi:
Use of a Deep Belief Network for Small High-Level Abstraction Data Sets Using Artificial Intelligence with Rule Extraction. - William T. Adler
Limitations of Proposed Signatures of Bayesian Confidence. - Jonathan Vacher
Bayesian Modeling of Motion Perception Using Dynamical Stochastic Textures.
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