default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDNeural Computation, Volume 26
Volume 26, Number 1, January 2014
- Zhe Chen
, Stephen N. Gomperts, Jun Yamamoto, Matthew A. Wilson:
Neural Representation of Spatial Topology in the Rodent Hippocampus. 1-39
- Sagi Perel, Andrew B. Schwartz, Valérie Ventura:
Single-Snippet Analysis for Detection of Postspike Effects. 40-56 - Tatsuya Tashiro, Shohei Shimizu, Aapo Hyvärinen, Takashi Washio:
ParceLiNGAM: A Causal Ordering Method Robust Against Latent Confounders. 57-83 - Masashi Sugiyama, Gang Niu, Makoto Yamada, Manabu Kimura, Hirotaka Hachiya:
Information-Maximization Clustering Based on Squared-Loss Mutual Information. 84-131 - Sorinel Adrian Oprisan:
Local Linear Approximation of the Jacobian Matrix Better Captures Phase Resetting of Neural Limit Cycle Oscillators. 132-157 - Hongzhi Tong, Di-Rong Chen, Fenghong Yang:
Learning with Convex Loss and Indefinite Kernels. 158-184 - Makoto Yamada, Wittawat Jitkrittum, Leonid Sigal, Eric P. Xing, Masashi Sugiyama:
High-Dimensional Feature Selection by Feature-Wise Kernelized Lasso. 185-207 - Yu Wang, Ruibo Wang, Huichen Jia, Jihong Li:
Blocked 3×2 Cross-Validated t-Test for Comparing Supervised Classification Learning Algorithms. 208-235
Volume 26, Number 2, February 2014
- Luca Citi, Demba E. Ba, Emery N. Brown, Riccardo Barbieri:
Likelihood Methods for Point Processes with Refractoriness. 237-263
- Aurel A. Lazar, Yevgeniy B. Slutskiy:
Functional Identification of Spike-Processing Neural Circuits. 264-305 - Catalin V. Rusu, Razvan V. Florian:
A New Class of Metrics for Spike Trains. 306-348 - Motoaki Kawanabe, Wojciech Samek, Klaus-Robert Müller, Carmen Vidaurre:
Robust Common Spatial Filters with a Maxmin Approach. 349-376 - Ashkan Amiri, Simon Haykin:
Improved Sparse Coding Under the Influence of Perceptual Attention. 377-420 - Akifumi Notsu, Osamu Komori, Shinto Eguchi:
Spontaneous Clustering via Minimum Gamma-Divergence. 421-448 - Youshen Xia, Tianping Chen, Jinjun Shan:
A Novel Iterative Method for Computing Generalized Inverse. 449-465
Volume 26, Number 3, March 2014
- Samuel Gershman:
Dopamine Ramps Are a Consequence of Reward Prediction Errors. 467-471
- Levin Kuhlmann, Michael Hauser-Raspe, Jonathan H. Manton, David B. Grayden, Jonathan Tapson, André van Schaik:
Approximate, Computationally Efficient Online Learning in Bayesian Spiking Neurons. 472-496 - Zheng-Chu Guo, Yiming Ying:
Guaranteed Classification via Regularized Similarity Learning. 497-522 - Phillip B. Schafer, Dezhe Z. Jin:
Noise-Robust Speech Recognition Through Auditory Feature Detection and Spike Sequence Decoding. 523-556 - Stefano Baccianella, Andrea Esuli, Fabrizio Sebastiani:
Feature Selection for Ordinal Text Classification. 557-591 - Tiao Jun Zeng, Quanyuan Feng:
A Parallel Dual Matrix Method for Blind Signal Separation. 592-610 - Xinggang Wang, Zhengdong Zhang, Yi Ma, Xiang Bai, Wenyu Liu, Zhuowen Tu:
Robust Subspace Discovery via Relaxed Rank Minimization. 611-635
Volume 26, Number 4, April 2014
- Justin B. Kinney, Gurinder S. Atwal:
Parametric Inference in the Large Data Limit Using Maximally Informative Models. 637-653
- Anca Radulescu:
Input Statistics and Hebbian Cross-Talk Effects. 654-692 - Peng Qi, Xiaolin Hu:
Learning Nonlinear Statistical Regularities in Natural Images by Modeling the Outer Product of Image Intensities. 693-711 - Kirill Makukhin, Scott Bolland:
Dissociable Forms of Repetition Priming: A Computational Model. 712-738 - Yunwen Lei, Lixin Ding:
Refined Rademacher Chaos Complexity Bounds with Applications to the Multikernel Learning Problem. 739-760 - Guoqiang Zhong, Mohamed Cheriet:
Large Margin Low Rank Tensor Analysis. 761-780 - Ching-Pei Lee, Chih-Jen Lin:
Large-Scale Linear RankSVM. 781-817
Volume 26, Number 5, May 2014
- Thibaud O. Taillefumier, Marcelo Magnasco:
A Transition to Sharp Timing in Stochastic Leaky Integrate-and-Fire Neurons Driven by Frozen Noisy Input. 819-859
- Jason M. Samonds, Brian Potetz, Tai Sing Lee:
Sample Skewness as a Statistical Measurement of Neuronal Tuning Sharpness. 860-906 - Abd-Krim Seghouane, Yousef Saad:
Prewhitening High-Dimensional fMRI Data Sets Without Eigendecomposition. 907-919 - José R. A. Torreão, Silvia M. C. Victer, Marcos S. Amaral:
Signal-Tuned Gabor Functions as Models for Stimulus-Dependent Cortical Receptive Fields. 920-952 - Jirí Síma:
Energy Complexity of Recurrent Neural Networks. 953-973 - Xingyi Zhang, Xiangxiang Zeng, Bin Luo, Linqiang Pan:
On Some Classes of Sequential Spiking Neural P Systems. 974-997
Volume 26, Number 6, June 2014
- Daniel Chicharro:
A Causal Perspective on the Analysis of Signal and Noise Correlations and Their Role in Population Coding. 999-1054
- Michiel D'Haene, Michiel Hermans, Benjamin Schrauwen:
Toward Unified Hybrid Simulation Techniques for Spiking Neural Networks. 1055-1079 - Austin J. Brockmeier, John S. Choi, Evan G. Kriminger, Joseph T. Francis, José C. Príncipe:
Neural Decoding with Kernel-Based Metric Learning. 1080-1107 - Alberto Llera, Vicenç Gómez, Hilbert J. Kappen:
Adaptive Multiclass Classification for Brain Computer Interfaces. 1108-1127 - Karthik Devarajan, Vincent C. K. Cheung:
On Nonnegative Matrix Factorization Algorithms for Signal-Dependent Noise with Application to Electromyography Data. 1128-1168 - Song Liu, John A. Quinn, Michael U. Gutmann, Taiji Suzuki, Masashi Sugiyama:
Direct Learning of Sparse Changes in Markov Networks by Density Ratio Estimation. 1169-1197 - Adam S. Charles, Han Lun Yap, Christopher J. Rozell:
Short-Term Memory Capacity in Networks via the Restricted Isometry Property. 1198-1235
- Morten Mørup, Mikkel N. Schmidt:
Errata to "Bayesian Community Detection" (Neural Computation, Sept. 2012 , Vol. 24, No. 9: 2434-2456). 1236-1237
Volume 26, Number 7, July 2014
- George L. Chadderdon, Ashutosh Mohan, Benjamin A. Suter, Samuel A. Neymotin, Cliff C. Kerr, Joseph T. Francis, Gordon M. G. Shepherd, William W. Lytton:
Motor Cortex Microcircuit Simulation Based on Brain Activity Mapping. 1239-1262
- Casey O. Diekman, Kohinoor Dasgupta, Vijay N. Nair, K. P. Unnikrishnan:
Discovering Functional Neuronal Connectivity from Serial Patterns in Spike Train Data. 1263-1297 - Yun Shen, Michael J. Tobia, Tobias Sommer, Klaus Obermayer:
Risk-Sensitive Reinforcement Learning. 1298-1328 - Saeed Saremi, Terrence J. Sejnowski:
On Criticality in High-Dimensional Data. 1329-1339 - Xiangxiang Zeng, Xingyi Zhang, Tao Song, Linqiang Pan:
Spiking Neural P Systems with Thresholds. 1340-1361 - Osamu Hoshino:
Balanced Crossmodal Excitation and Inhibition Essential for Maximizing Multisensory Gain. 1362-1385 - Guido F. Montúfar:
Universal Approximation Depth and Errors of Narrow Belief Networks with Discrete Units. 1386-1407 - Christine Tuleau-Malot, Amel Rouis, Franck Grammont, Patricia Reynaud-Bouret:
Multiple Tests Based on a Gaussian Approximation of the Unitary Events Method with Delayed Coincidence Count. 1408-1454 - Atsushi Noda, Hideitsu Hino, Masami Tatsuno, Shotaro Akaho, Noboru Murata:
Intrinsic Graph Structure Estimation Using Graph Laplacian. 1455-1483 - Zhitang Chen, Kun Zhang, Laiwan Chan, Bernhard Schölkopf:
Causal Discovery via Reproducing Kernel Hilbert Space Embeddings. 1484-1517
Volume 26, Number 8, August 2014
- Mijung Park, J. Patrick Weller, Gregory D. Horwitz, Jonathan W. Pillow:
Bayesian Active Learning of Neural Firing Rate Maps with Transformed Gaussian Process Priors. 1519-1541 - Kechen Zhang:
How to Compress Sequential Memory Patterns into Periodic Oscillations: General Reduction Rules. 1542-1599
- Eric Hunsberger, Matthew Scott, Chris Eliasmith:
The Competing Benefits of Noise and Heterogeneity in Neural Coding. 1600-1623 - Dylan R. Muir, Matthew Cook:
Anatomical Constraints on Lateral Competition in Columnar Cortical Architectures. 1624-1666 - Kamal Farah, Jackson E. T. Smith, Erik P. Cook:
ROC-Based Estimates of Neural-Behavioral Covariations Using Matched Filters. 1667-1689 - Mei Hong Zheng, Takami Matsuo, Ai Miyamoto, Osamu Hoshino:
Tonically Balancing Intracortical Excitation and Inhibition by GABAergic Gliotransmission. 1690-1716 - Gang Niu, Bo Dai, Makoto Yamada, Masashi Sugiyama:
Information-Theoretic Semi-Supervised Metric Learning via Entropy Regularization. 1717-1762 - Erik M. Rehn, Davide Maltoni:
Incremental Learning by Message Passing in Hierarchical Temporal Memory. 1763-1809
Volume 26, Number 9, September 2014
- Siddharth Dangi, Suraj Gowda, Helene G. Moorman, Amy L. Orsborn, Kelvin So, Maryam Shanechi, Jose M. Carmena:
Continuous Closed-Loop Decoder Adaptation with a Recursive Maximum Likelihood Algorithm Allows for Rapid Performance Acquisition in Brain-Machine Interfaces. 1811-1839
- Nicholas Watters, George N. Reeke:
Neuronal Spike Train Entropy Estimation by History Clustering. 1840-1872 - Terry Elliott:
Memory Nearly on a Spring: A Mean First Passage Time Approach to Memory Lifetimes. 1873-1923 - Terry Elliott:
Sparseness, Antisparseness and Anything in Between: The Operating Point of a Neuron Determines Its Computational Repertoire. 1924-1972 - Hesham Mostafa, Giacomo Indiveri:
Sequential Activity in Asymmetrically Coupled Winner-Take-All Circuits. 1973-2004 - Yanchao Shi, Peiyong Zhu:
Synchronization of Stochastic Competitive Neural Networks with Different Timescales and Reaction-Diffusion Terms. 2005-2024 - Babak Shahbaba, Bo Zhou, Shiwei Lan, Hernando Ombao, David Moorman, Sam Behseta:
A Semiparametric Bayesian Model for Detecting Synchrony Among Multiple Neurons. 2025-2051 - Mira Guise, Alistair Knott, Lubica Benuskova:
A Bayesian Model of Polychronicity. 2052-2073 - Hideitsu Hino, Noboru Murata:
A Nonparametric Clustering Algorithm with a Quantile-Based Likelihood Estimator. 2074-2101
Volume 26, Number 10, October 2014
- Deep Ganguli, Eero P. Simoncelli:
Efficient Sensory Encoding and Bayesian Inference with Heterogeneous Neural Populations. 2103-2134 - Sidney R. Lehky, Roozbeh Kiani, Hossein Esteky, Keiji Tanaka:
Dimensionality of Object Representations in Monkey Inferotemporal Cortex. 2135-2162
- Greg Wayne, L. F. Abbott:
Hierarchical Control Using Networks Trained with Higher-Level Forward Models. 2163-2193 - Bruce P. Graham, Ausra Saudargiene, Stuart Cobb:
Spine Head Calcium as a Measure of Summed Postsynaptic Activity for Driving Synaptic Plasticity. 2194-2222 - Isuru Dasanayake, Jr-Shin Li:
Design of Charge-Balanced Time-Optimal Stimuli for Spiking Neuron Oscillators. 2223-2246 - Yimin Nie, Jean-Marc Fellous, Masami Tatsuno:
Influence of External Inputs and Asymmetry of Connections on Information-Geometric Measures Involving Up to Ten Neuronal Interactions. 2247-2293 - Duluxan Sritharan, Sridevi V. Sarma:
Fragility in Dynamic Networks: Application to Neural Networks in the Epileptic Cortex. 2294-2327 - Changjin Xu, Qiming Zhang:
On Antiperiodic Solutions for Cohen-Grossberg Shunting Inhibitory Neural Networks with Time-Varying Delays and Impulses. 2328-2349 - Shaobo Lin, Jinshan Zeng, Jian Fang, Zongben Xu:
Learning Rates of lq Coefficient Regularization Learning with Gaussian Kernel. 2350-2378
Volume 26, Number 11, November 2014
- Shabnam N. Kadir, Dan F. M. Goodman, Kenneth D. Harris:
High-Dimensional Cluster Analysis with the Masked EM Algorithm. 2379-2394
- Yasuomi D. Sato, Kazuyuki Aihara:
Changes of Firing Rate Induced by Changes of Phase Response Curve in Bifurcation Transitions. 2395-2418 - Hans Supèr, August Romeo:
Approximate Emergent Synchrony in Spatially Coupled Spiking Neurons with Discrete Interaction. 2419-2440 - Hiroakira Matsui, Mei Hong Zheng, Osamu Hoshino:
Facilitation of Neuronal Responses by Intrinsic Default Mode Network Activity. 2441-2464 - Woojae Kim, Mark A. Pitt, Zhong-Lin Lu, Mark Steyvers, Jay I. Myung:
A Hierarchical Adaptive Approach to Optimal Experimental Design. 2465-2492 - Amin Karbasi, Amir Hesam Salavati, Amin Shokrollahi, Lav R. Varshney:
Noise Facilitation in Associative Memories of Exponential Capacity. 2493-2526 - Chad Giusti, Vladimir Itskov:
A No-Go Theorem for One-Layer Feedforward Networks. 2527-2540 - Akiko Takeda, Shuhei Fujiwara, Takafumi Kanamori:
Extended Robust Support Vector Machine Based on Financial Risk Minimization. 2541-2569 - Zhiyi Zhang, Michael Grabchak:
Nonparametric Estimation of Küllback-Leibler Divergence. 2570-2593 - Beatrice A. Golomb, Matthew A. Allison, Sabrina Koperski, Hayley J. Koslik, Sridevi Devaraj, Janis B. Ritchie:
Coenzyme Q10 Benefits Symptoms in Gulf War Veterans: Results of a Randomized Double-Blind Study. 2594-2651 - Florian Raudies, Rick O. Gilmore:
Visual Motion Priors Differ for Infants and Mothers. 2652-2668
Volume 26, Number 12, December 2014
- Terence D. Sanger:
Risk-Aware Control. 2669-2691 - Vishwanathan Mohan, Giulio Sandini, Pietro G. Morasso:
A Neural Framework for Organization and Flexible Utilization of Episodic Memory in Cumulatively Learning Baby Humanoids. 2692-2734 - Tobias Brosch, Heiko Neumann:
Computing with a Canonical Neural Circuits Model with Pool Normalization and Modulating Feedback. 2735-2789
- Gonzalo E. Mena, Liam Paninski:
On Quadrature Methods for Refractory Point Process Likelihoods. 2790-2797 - Soledad Gonzalo Cogno, Susanne Schreiber, Inés Samengo:
Dynamics and Reliability of Bistable Neurons Driven with Time-Dependent Stimuli. 2798-2826 - Le Thi Hoai An, Manh Cuong Nguyen, Tao Pham Dinh:
A DC Programming Approach for Finding Communities in Networks. 2827-2854 - Saverio Salzo, Salvatore Masecchia, Alessandro Verri, Annalisa Barla:
Alternating Proximal Regularized Dictionary Learning. 2855-2895 - Hong Li, Chuanbao Ren, Luoqing Li:
U-Processes and Preference Learning. 2896-2924 - Xingyi Zhang, Bangju Wang, Linqiang Pan:
Spiking Neural P Systems with a Generalized Use of Rules. 2925-2943 - Min Xia, Wai Keung Wong, Zhijie Wang:
Sequence Memory Based on Coherent Spin-Interaction Neural Networks. 2944-2961
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2025-12-05 22:24 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
