default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDNeural Computation, Volume 33
Volume 33, Number 1, January 2021
- Wouter Kruijne, Sander M. Bohté, Pieter R. Roelfsema, Christian N. L. Olivers
:
Flexible Working Memory Through Selective Gating and Attentional Tagging. 1-40 - Tomasz Górski, Damien Depannemaecker, Alain Destexhe:
Conductance-Based Adaptive Exponential Integrate-and-Fire Model. 41-66 - David Gabrieli, Samantha N. Schumm, Nicholas F. Vigilante, David F. Meaney:
NMDA Receptor Alterations After Mild Traumatic Brain Injury Induce Deficits in Memory Acquisition and Recall. 67-95 - Andreas Stöckel, Chris Eliasmith:
Passive Nonlinear Dendritic Interactions as a Computational Resource in Spiking Neural Networks. 96-128 - Masami Iwamoto, Daichi Kato:
Efficient Actor-Critic Reinforcement Learning With Embodiment of Muscle Tone for Posture Stabilization of the Human Arm. 129-156 - Yunlong Feng:
New Insights Into Learning With Correntropy-Based Regression. 157-173 - Yu-Wei Kao, Hung-Hsuan Chen:
Associated Learning: Decomposing End-to-End Backpropagation Based on Autoencoders and Target Propagation. 174-193 - Lawrence K. Saul:
An EM Algorithm for Capsule Regression. 194-226 - R. Suresh, A. Manivannan:
Robust Stability Analysis of Delayed Stochastic Neural Networks via Wirtinger-Based Integral Inequality. 227-243 - Tomoya Sakai, Gang Niu, Masashi Sugiyama:
Information-Theoretic Representation Learning for Positive-Unlabeled Classification. 244-268
Volume 33, Number 2, February 2021
- Vasiliki Liakoni, Alireza Modirshanechi, Wulfram Gerstner, Johanni Brea:
Learning in Volatile Environments With the Bayes Factor Surprise. 269-340
- William H. Nesse, Leonard Maler, André Longtin:
Enhanced Signal Detection by Adaptive Decorrelation of Interspike Intervals. 341-375 - Brett D. Roads, Michael C. Mozer:
Predicting the Ease of Human Category Learning Using Radial Basis Function Networks. 376-397 - Casper Hesp, Ryan Smith, Thomas Parr, Micah Allen, Karl J. Friston, Maxwell James D. Ramstead:
Deeply Felt Affect: The Emergence of Valence in Deep Active Inference. 398-446 - Beren Millidge, Alexander Tschantz, Christopher L. Buckley:
Whence the Expected Free Energy? 447-482 - Asieh Abolpour Mofrad, Anis Yazidi, Samaneh Abolpour Mofrad, Hugo Lewi Hammer, Erik Arntzen:
Enhanced Equivalence Projective Simulation: A Framework for Modeling Formation of Stimulus Equivalence Classes. 483-527 - Dequan Jin, Ziyan Qin, Murong Yang, Penghe Chen:
A Novel Neural Model With Lateral Interaction for Learning Tasks. 528-551 - Masaki Kobayashi:
Stability Conditions of Bicomplex-Valued Hopfield Neural Networks. 552-562
Volume 33, Number 3, March 2021
- Tomas Van Pottelbergh, Guillaume Drion, Rodolphe Sepulchre:
From Biophysical to Integrate-and-Fire Modeling. 563-589 - Nicholas M. Boffi, Jean-Jacques E. Slotine:
Implicit Regularization and Momentum Algorithms in Nonlinearly Parameterized Adaptive Control and Prediction. 590-673
- Noor Sajid, Philip J. Ball, Thomas Parr, Karl J. Friston:
Active Inference: Demystified and Compared. 674-712 - Karl J. Friston, Lancelot Da Costa, Danijar Hafner, Casper Hesp, Thomas Parr:
Sophisticated Inference. 713-763 - Kyle P. Wendling, Cheng Ly:
Statistical Analysis of Decoding Performances of Diverse Populations of Neurons. 764-801 - William Paul, I-Jeng Wang, Fady Alajaji, Philippe Burlina:
Unsupervised Discovery, Control, and Disentanglement of Semantic Attributes With Applications to Anomaly Detection. 802-826 - Omri Barak, Sandro Romani:
Mapping Low-Dimensional Dynamics to High-Dimensional Neural Activity: A Derivation of the Ring Model From the Neural Engineering Framework. 827-852
Volume 33, Number 4, March 2021
- Christopher K. I. Williams:
The Effect of Class Imbalance on Precision-Recall Curves. 853-857
- Ethan Harris, Daniela Mihai, Jonathon S. Hare:
How Convolutional Neural Network Architecture Biases Learned Opponency and Color Tuning. 858-898 - Friedemann Zenke, Tim P. Vogels:
The Remarkable Robustness of Surrogate Gradient Learning for Instilling Complex Function in Spiking Neural Networks. 899-925 - Justin W. M. Domhof, Paul H. E. Tiesinga:
Flexible Frequency Switching in Adult Mouse Visual Cortex Is Mediated by Competition Between Parvalbumin and Somatostatin Expressing Interneurons. 926-966 - Greta Tuckute, Sofie Therese Hansen, Troels Wesenberg Kjaer, Lars Kai Hansen:
Real-Time Decoding of Attentional States Using Closed-Loop EEG Neurofeedback. 967-1004 - Zuowei Shen, Haizhao Yang, Shijun Zhang:
Deep Network With Approximation Error Being Reciprocal of Width to Power of Square Root of Depth. 1005-1036 - Muneki Yasuda, Kei Uchizawa:
A Generalization of Spatial Monte Carlo Integration. 1037-1062 - Arnaud Fanthomme, Rémi Monasson:
Low-Dimensional Manifolds Support Multiplexed Integrations in Recurrent Neural Networks. 1063-1112 - Junhao Huang, Weize Sun, Lei Huang:
Joint Structure and Parameter Optimization of Multiobjective Sparse Neural Network. 1113-1143
Volume 33, Number 5, May 2021
- Corey Weistuch, Lilianne R. Mujica-Parodi, Ken Dill:
The Refractory Period Matters: Unifying Mechanisms of Macroscopic Brain Waves. 1145-1163
- Rishabh Singh, José C. Príncipe:
Toward a Kernel-Based Uncertainty Decomposition Framework for Data and Models. 1164-1198 - Christopher M. Kim, Carson C. Chow:
Training Spiking Neural Networks in the Strong Coupling Regime. 1199-1233 - Takuya Shimada, Han Bao, Issei Sato, Masashi Sugiyama:
Classification From Pairwise Similarities/Dissimilarities and Unlabeled Data via Empirical Risk Minimization. 1234-1268 - Yalda Amidi, Behzad Nazari, Saeid Sadri, Ali Yousefi:
Parameter Estimation in Multiple Dynamic Synaptic Coupling Model Using Bayesian Point Process State-Space Modeling Framework. 1269-1299 - Shanshan Qin, Nayantara Mudur, Cengiz Pehlevan:
Contrastive Similarity Matching for Supervised Learning. 1300-1328 - Zhen Xiang, David J. Miller, Hang Wang, George Kesidis:
Detecting Scene-Plausible Perceptible Backdoors in Trained DNNs Without Access to the Training Set. 1329-1371 - Xi Liu, Xiang Shen, Shuhang Chen, Xiang Zhang, Yifan Huang, Yueming Wang, Yiwen Wang:
Hierarchical Dynamical Model for Multiple Cortical Neural Decoding. 1372-1401 - Alejandra Ciria, Guido Schillaci, Giovanni Pezzulo, Verena V. Hafner, Bruno Lara:
Predictive Processing in Cognitive Robotics: A Review. 1402-1432
Volume 33, Number 6, June 2021
- Takuya Isomura, Taro Toyoizumi:
On the Achievability of Blind Source Separation for High-Dimensional Nonlinear Source Mixtures. 1433-1468 - Charles G. Frye, James Simon, Neha S. Wadia, Andrew Ligeralde, Michael Robert DeWeese, Kristofer E. Bouchard:
Critical Point-Finding Methods Reveal Gradient-Flat Regions of Deep Network Losses. 1469-1497
- Paulo E. Rauber, Avinash Ummadisingu, Filipe Mutz, Jürgen Schmidhuber:
Reinforcement Learning in Sparse-Reward Environments With Hindsight Policy Gradients. 1498-1553 - Ilenna Simone Jones, Konrad Paul Körding:
Might a Single Neuron Solve Interesting Machine Learning Problems Through Successive Computations on Its Dendritic Tree? 1554-1571 - Manuel Beiran, Alexis M. Dubreuil, Adrian Valente, Francesca Mastrogiuseppe, Srdjan Ostojic:
Shaping Dynamics With Multiple Populations in Low-Rank Recurrent Networks. 1572-1615 - Yuangang Pan, Ivor W. Tsang, Yueming Lyu, Avinash Kumar Singh, Chin-Teng Lin:
Online Mental Fatigue Monitoring via Indirect Brain Dynamics Evaluation. 1616-1655 - Yunlong Feng, Qiang Wu:
A Framework of Learning Through Empirical Gain Maximization. 1656-1697 - Masaki Kobayashi:
Noise Robust Projection Rule for Klein Hopfield Neural Networks. 1698-1716
Volume 33, Number 7, July 2021
- Young Joon Kim, Nora Brackbill, Eleanor Batty, Jin Hyung Lee, Catalin Mitelut, William Tong, E. J. Chichilnisky, Liam Paninski:
Nonlinear Decoding of Natural Images From Large-Scale Primate Retinal Ganglion Recordings. 1719-1750
- Shervin Safavi, Nikos K. Logothetis, Michel Besserve:
From Univariate to Multivariate Coupling Between Continuous Signals and Point Processes: A Mathematical Framework. 1751-1817 - Bi Wang, Yang Chen, Xuelian Li, Junfu Chen:
Lifelong Classification in Open World With Limited Storage Requirements. 1818-1852 - Chihiro Watanabe, Hirokazu Kameoka:
X-DC: Explainable Deep Clustering Based on Learnable Spectrogram Templates. 1853-1885 - Wenrui Zhang, Peng Li:
Skip-Connected Self-Recurrent Spiking Neural Networks With Joint Intrinsic Parameter and Synaptic Weight Training. 1886-1913 - Noura Alotaibi, Koushik Maharatna:
Classification of Autism Spectrum Disorder From EEG-Based Functional Brain Connectivity Analysis. 1914-1941 - E. A. Kwessi, Lloyd J. Edwards:
Analysis of EEG Data Using Complex Geometric Structurization. 1942-1969 - Roman Vuillaume, Jhunlyn Lorenzo, Stéphane Binczak, Sabir Jacquir:
A Computational Study on Synaptic Plasticity Regulation and Information Processing in Neuron-Astrocyte Networks. 1970-1992 - Cecilia Romaro, Fernando Araujo Najman, William W. Lytton, Antonio Carlos Roque, Salvador Dura-Bernal:
NetPyNE Implementation and Scaling of the Potjans-Diesmann Cortical Microcircuit Model. 1993-2032
Volume 33, Number 8, August 2021
- Aaron R. Voelker, Peter Blouw, Xuan Choo, Nicole Sandra-Yaffa Dumont, Terrence C. Stewart, Chris Eliasmith:
Simulating and Predicting Dynamical Systems With Spatial Semantic Pointers. 2033-2067 - Akke Mats Houben:
Frequency Selectivity of Neural Circuits With Heterogeneous Discrete Transmission Delays. 2068-2086 - Germán Abrevaya, Guillaume Dumas, Aleksandr Y. Aravkin, Peng Zheng, Jean-Christophe Gagnon-Audet, James R. Kozloski, Pablo Polosecki, Guillaume Lajoie, David D. Cox, Silvina Ponce Dawson, Guillermo A. Cecchi, Irina Rish:
Learning Brain Dynamics With Coupled Low-Dimensional Nonlinear Oscillators and Deep Recurrent Networks. 2087-2127 - Wenkai Xu, Gang Niu, Aapo Hyvärinen, Masashi Sugiyama:
Direction Matters: On Influence-Preserving Graph Summarization and Max-Cut Principle for Directed Graphs. 2128-2162 - Zeke Xie, Fengxiang He, Shaopeng Fu, Issei Sato, Dacheng Tao, Masashi Sugiyama:
Artificial Neural Variability for Deep Learning: On Overfitting, Noise Memorization, and Catastrophic Forgetting. 2163-2192 - Andreas Knoblauch:
Power Function Error Initialization Can Improve Convergence of Backpropagation Learning in Neural Networks for Classification. 2193-2225 - Masaki Kobayashi:
Storage Capacity of Quaternion-Valued Hopfield Neural Networks With Dual Connections. 2226-2240 - Nicolas P. Rougier, Georgios Is. Detorakis:
Randomized Self-Organizing Map. 2241-2273 - Ryo Karakida, Shotaro Akaho, Shun-ichi Amari:
Pathological Spectra of the Fisher Information Metric and Its Variants in Deep Neural Networks. 2274-2307
Volume 33, Number 9, September 2021
- David Lipshutz, Yanis Bahroun, Siavash Golkar, Anirvan M. Sengupta, Dmitri B. Chklovskii:
A Biologically Plausible Neural Network for Multichannel Canonical Correlation Analysis. 2309-2352
- Jeffrey Frederic Queißer, Minju Jung, Takazumi Matsumoto, Jun Tani:
Emergence of Content-Agnostic Information Processing by a Robot Using Active Inference, Visual Attention, Working Memory, and Planning. 2353-2407 - Alejandro Ojeda, Kenneth Kreutz-Delgado, Jyoti Mishra:
Bridging M/EEG Source Imaging and Independent Component Analysis Frameworks Using Biologically Inspired Sparsity Priors. 2408-2438 - Runhao Jiang, Jie Zhang, Rui Yan, Huajin Tang:
Few-Shot Learning in Spiking Neural Networks by Multi-Timescale Optimization. 2439-2472 - Himesh Bhatia, William Paul, Fady Alajaji, Bahman Gharesifard, Philippe Burlina:
Least kth-Order and Rényi Generative Adversarial Networks. 2473-2510 - Kimberly Villalobos, Vilim Stih, Amineh Ahmadinejad, Shobhita Sundaram, Jamell Dozier, Andrew Francl, Frederico Azevedo, Tomotake Sasaki, Xavier Boix:
Do Neural Networks for Segmentation Understand Insideness? 2511-2549 - Asieh Abolpour Mofrad, Samaneh Abolpour Mofrad, Anis Yazidi, Matthew Geoffrey Parker:
On Neural Associative Memory Structures: Storage and Retrieval of Sequences in a Chain of Tournaments. 2550-2577 - María da Fonseca, Inés Samengo:
Statistical Properties of Color Matching Functions. 2578-2601
Volume 33, Number 10, October 2021
- Alfred Rajakumar, John Rinzel, Zhe S. Chen:
Stimulus-Driven and Spontaneous Dynamics in Excitatory-Inhibitory Recurrent Neural Networks for Sequence Representation. 2603-2645 - Nicola Bulso, Yasser Roudi:
Restricted Boltzmann Machines as Models of Interacting Variables. 2646-2681
- Ganchao Wei, Ian H. Stevenson:
Tracking Fast and Slow Changes in Synaptic Weights From Simultaneously Observed Pre- and Postsynaptic Spiking. 2682-2709 - Thijs van de Laar, Ismail Senöz, Ayça Özçelikkale, Henk Wymeersch:
Chance-Constrained Active Inference. 2710-2735 - Marifi Güler:
Multibranch Formal Neuron: An Internally Nonlinear Learning Unit. 2736-2761 - Théophile Champion, Marek Grzes, Howard Bowman:
Realizing Active Inference in Variational Message Passing: The Outcome-Blind Certainty Seeker. 2762-2826 - Richard C. Gerum, Achim Schilling:
Integration of Leaky-Integrate-and-Fire Neurons in Standard Machine Learning Architectures to Generate Hybrid Networks: A Surrogate Gradient Approach. 2827-2852 - Kohei Yoshikawa, Shuichi Kawano:
Multilinear Common Component Analysis via Kronecker Product Representation. 2853-2880
Volume 33, Number 11, November 2021
- Tim Sainburg, Leland McInnes, Timothy Q. Gentner:
Parametric UMAP Embeddings for Representation and Semisupervised Learning. 2881-2907
- Tyler L. Hayes, Giri P. Krishnan, Maxim Bazhenov, Hava T. Siegelmann, Terrence J. Sejnowski, Christopher Kanan:
Replay in Deep Learning: Current Approaches and Missing Biological Elements. 2908-2950 - Shao-Qun Zhang, Zhi-Hua Zhou:
Flexible Transmitter Network. 2951-2970 - Jiangrong Shen, Jian K. Liu, Yueming Wang:
Dynamic Spatiotemporal Pattern Recognition With Recurrent Spiking Neural Network. 2971-2995 - Takuma Torii, Shohei Hidaka:
Completion of the Infeasible Actions of Others: Goal Inference by Dynamical Invariant. 2996-3026 - Hamid Karimi-Rouzbahani, Mozhgan Shahmohammadi, Ehsan Vahab, Saeed Setayeshi, Thomas Carlson:
Temporal Variabilities Provide Additional Category-Related Information in Object Category Decoding: A Systematic Comparison of Informative EEG Features. 3027-3072 - Viacheslav Osaulenko:
Expansion of Information in the Binary Autoencoder With Random Binary Weights. 3073-3101 - Yaqin Fan, Xile Wei, Guosheng Yi, Meili Lu, Jiang Wang, Bin Deng:
Asymptotic Input-Output Relationship Predicts Electric Field Effect on Sublinear Dendritic Integration of AMPA Synapses. 3102-3138 - Chen Zeno, Itay Golan, Elad Hoffer, Daniel Soudry:
Task-Agnostic Continual Learning Using Online Variational Bayes With Fixed-Point Updates. 3139-3177
Volume 33, Number 12, December 2021
- Yang Shen, Julia Wang, Saket Navlakha:
A Correspondence Between Normalization Strategies in Artificial and Biological Neural Networks. 3179-3203 - Khashayar Filom, Roozbeh Farhoodi, Konrad Paul Körding:
On PDE Characterization of Smooth Hierarchical Functions Computed by Neural Networks. 3204-3263
- Yinghao Li, Robert Kim, Terrence J. Sejnowski:
Learning the Synaptic and Intrinsic Membrane Dynamics Underlying Working Memory in Spiking Neural Network Models. 3264-3287 - João Angelo Ferres Brogin, Jean Faber, Douglas Domingues Bueno:
Burster Reconstruction Considering Unmeasurable Variables in the Epileptor Model. 3288-3333 - Luis Sa-Couto, Andreas Wichert:
Simple Convolutional-Based Models: Are They Learning the Task or the Data? 3334-3350 - Sneha Aenugu, David E. Huber:
Asymmetric Weights and Retrieval Practice in an Autoassociative Neural Network Model of Paired-Associate Learning. 3351-3360 - Taira Tsuchiya, Nontawat Charoenphakdee, Issei Sato, Masashi Sugiyama:
Semisupervised Ordinal Regression Based on Empirical Risk Minimization. 3361-3412 - Shogo Iwazaki, Yu Inatsu, Ichiro Takeuchi:
Bayesian Quadrature Optimization for Probability Threshold Robustness Measure. 3413-3466
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 2025-12-04 22:09 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:
