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Publication search results
found 78 matches
- 2020
- Shun-ichi Amari:
Any Target Function Exists in a Neighborhood of Any Sufficiently Wide Random Network: A Geometrical Perspective. Neural Comput. 32(8): 1431-1447 (2020) - Tao Bian, Daniel M. Wolpert, Zhong-Ping Jiang:
Model-Free Robust Optimal Feedback Mechanisms of Biological Motor Control. Neural Comput. 32(3): 562-595 (2020) - Nicholas M. Boffi, Jean-Jacques E. Slotine:
A Continuous-Time Analysis of Distributed Stochastic Gradient. Neural Comput. 32(1): 36-96 (2020) - Victor Boutin, Angelo Franciosini, Franck Ruffier
, Laurent Perrinet
:
Effect of Top-Down Connections in Hierarchical Sparse Coding. Neural Comput. 32(11): 2279-2309 (2020) - Michael C. Burkhart
, David M. Brandman, Brian Franco, Leigh R. Hochberg, Matthew T. Harrison:
The Discriminative Kalman Filter for Bayesian Filtering with Nonlinear and Nongaussian Observation Models. Neural Comput. 32(5): 969-1017 (2020) - Ruizhi Chen, Ling Li:
Analyzing and Accelerating the Bottlenecks of Training Deep SNNs With Backpropagation. Neural Comput. 32(12): 2557-2600 (2020) - Manuel Ciba, Robert Bestel, Christoph Nick, Guilherme Ferraz de Arruda
, Thomas K. D. M. Peron, Cesar Henrique Comin
, Luciano da Fontoura Costa, Francisco Aparecido Rodrigues, Christiane Thielemann:
Comparison of Different Spike Train Synchrony Measures Regarding Their Robustness to Erroneous Data From Bicuculline-Induced Epileptiform Activity. Neural Comput. 32(5): 887-911 (2020) - Zhenghang Cui, Nontawat Charoenphakdee, Issei Sato, Masashi Sugiyama
:
Classification from Triplet Comparison Data. Neural Comput. 32(3): 659-681 (2020) - Sama Daryanavard, Bernd Porr:
Closed-Loop Deep Learning: Generating Forward Models With Backpropagation. Neural Comput. 32(11): 2122-2144 (2020) - Jure Demsar, Rob Forsyth:
Synaptic Scaling Improves the Stability of Neural Mass Models Capable of Simulating Brain Plasticity. Neural Comput. 32(2): 424-446 (2020) - Shiyu Duan, Shujian Yu, Yunmei Chen
, José C. Príncipe:
On Kernel Method-Based Connectionist Models and Supervised Deep Learning Without Backpropagation. Neural Comput. 32(1): 97-135 (2020) - Terry Elliott:
First Passage Time Memory Lifetimes for Multistate, Filter-Based Synapses. Neural Comput. 32(6): 1069-1143 (2020) - Saeed Farjami, Ryan P. D. Alexander, Derek Bowie
, Anmar Khadra:
Switching in Cerebellar Stellate Cell Excitability in Response to a Pair of Inhibitory/Excitatory Presynaptic Inputs: A Dynamical System Perspective. Neural Comput. 32(3): 626-658 (2020) - Jakub Fil, Dominique F. Chu:
Minimal Spiking Neuron for Solving Multilabel Classification Tasks. Neural Comput. 32(7): 1408-1429 (2020) - Edward Paxon Frady, Spencer J. Kent, Bruno A. Olshausen, Friedrich T. Sommer:
Resonator Networks, 1: An Efficient Solution for Factoring High-Dimensional, Distributed Representations of Data Structures. Neural Comput. 32(12): 2311-2331 (2020) - Steven J. Frank, Andrea M. Frank:
Salient Slices: Improved Neural Network Training and Performance with Image Entropy. Neural Comput. 32(6): 1222-1237 (2020) - Noah Frazier-Logue
, Stephen José Hanson:
The Stochastic Delta Rule: Faster and More Accurate Deep Learning Through Adaptive Weight Noise. Neural Comput. 32(5): 1018-1032 (2020) - Jing Gao, Peng Li, Zhikui Chen, Jianing Zhang:
A Survey on Deep Learning for Multimodal Data Fusion. Neural Comput. 32(5): 829-864 (2020) - Richard Gast
, Helmut Schmidt
, Thomas R. Knösche:
A Mean-Field Description of Bursting Dynamics in Spiking Neural Networks with Short-Term Adaptation. Neural Comput. 32(9): 1615-1634 (2020) - Amir Hossein Ghaderi, Bianca R. Baltaretu
, Masood Nemati Andevari, Vishal Bharmauria
, Fuat Balci:
Synchrony and Complexity in State-Related EEG Networks: An Application of Spectral Graph Theory. Neural Comput. 32(12): 2422-2454 (2020) - Ewa Gudowska-Nowak, Maciej A. Nowak
, Dante R. Chialvo
, Jeremi K. Ochab
, Wojciech Tarnowski
:
From Synaptic Interactions to Collective Dynamics in Random Neuronal Networks Models: Critical Role of Eigenvectors and Transient Behavior. Neural Comput. 32(2): 395-423 (2020) - Yuval Harel, Ron Meir:
Optimal Multivariate Tuning with Neuron-Level and Population-Level Energy Constraints. Neural Comput. 32(4): 794-828 (2020) - Pascal Helson:
A Mathematical Analysis of Memory Lifetime in a Simple Network Model of Memory. Neural Comput. 32(7): 1322-1354 (2020) - Illia Horenko:
On a Scalable Entropic Breaching of the Overfitting Barrier for Small Data Problems in Machine Learning. Neural Comput. 32(8): 1563-1579 (2020) - Xin Hu, Jun Liu, Jie Ma, Yudai Pan, Lingling Zhang:
Fine-Grained 3D-Attention Prototypes for Few-Shot Learning. Neural Comput. 32(9): 1664-1684 (2020) - Changcun Huang:
ReLU Networks Are Universal Approximators via Piecewise Linear or Constant Functions. Neural Comput. 32(11): 2249-2278 (2020) - Adrian E. G. Huber, Jithendar Anumula, Shih-Chii Liu:
Optimal Sampling of Parametric Families: Implications for Machine Learning. Neural Comput. 32(1): 261-279 (2020) - Thomas Hueber, Eric Tatulli, Laurent Girin, Jean-Luc Schwartz:
Evaluating the Potential Gain of Auditory and Audiovisual Speech-Predictive Coding Using Deep Learning. Neural Comput. 32(3): 596-625 (2020) - Yu Inatsu, Masayuki Karasuyama, Keiichi Inoue, Hideki Kandori, Ichiro Takeuchi:
Active Learning of Bayesian Linear Models with High-Dimensional Binary Features by Parameter Confidence-Region Estimation. Neural Comput. 32(10): 1998-2031 (2020) - Yu Inatsu, Masayuki Karasuyama, Keiichi Inoue, Ichiro Takeuchi:
Active Learning for Level Set Estimation Under Input Uncertainty and Its Extensions. Neural Comput. 32(12): 2486-2531 (2020)
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