Neural Computation

Article	Citations
A Survey on Deep Learning for Multimodal Data Fusion	267
The Remarkable Robustness of Surrogate Gradient Learning for Instilling Complex Function in Spiking Neural Networks	90
Deeply Felt Affect: The Emergence of Valence in Deep Active Inference	83
Active Inference: Demystified and Compared	77
Sophisticated Inference	65
Parametric UMAP Embeddings for Representation and Semisupervised Learning	60
Shaping Dynamics With Multiple Populations in Low-Rank Recurrent Networks	45
Large Language Models and the Reverse Turing Test	36
Whence the Expected Free Energy?	30
A Mean-Field Description of Bursting Dynamics in Spiking Neural Networks with Short-Term Adaptation	29
Classification of Autism Spectrum Disorder From EEG-Based Functional Brain Connectivity Analysis	29
Replay in Deep Learning: Current Approaches and Missing Biological Elements	28
Conductance-Based Adaptive Exponential Integrate-and-Fire Model	25
Advancements in Algorithms and Neuromorphic Hardware for Spiking Neural Networks	24
Artificial Neural Variability for Deep Learning: On Overfitting, Noise Memorization, and Catastrophic Forgetting	24
The Effect of Class Imbalance on Precision-Recall Curves	24
How to Represent Part-Whole Hierarchies in a Neural Network	22
Deep Network With Approximation Error Being Reciprocal of Width to Power of Square Root of Depth	22
Predictive Processing in Cognitive Robotics: A Review	21
On a Scalable Entropic Breaching of the Overfitting Barrier for Small Data Problems in Machine Learning	19
Predictive Coding Approximates Backprop Along Arbitrary Computation Graphs	19
Learning in Volatile Environments With the Bayes Factor Surprise	18
Implicit Regularization and Momentum Algorithms in Nonlinearly Parameterized Adaptive Control and Prediction	18
A Normative Account of Confirmation Bias During Reinforcement Learning	18
Predictive Coding, Variational Autoencoders, and Biological Connections	17

Bridging M/EEG Source Imaging and Independent Component Analysis Frameworks Using Biologically Inspired Sparsity Priors	17
Flexible Working Memory Through Selective Gating and Attentional Tagging	16
Resonator Networks, 1: An Efficient Solution for Factoring High-Dimensional, Distributed Representations of Data Structures	16
Nonequilibrium Statistical Mechanics of Continuous Attractors	15
Might a Single Neuron Solve Interesting Machine Learning Problems Through Successive Computations on Its Dendritic Tree?	14
Nonlinear Decoding of Natural Images From Large-Scale Primate Retinal Ganglion Recordings	14
Integration of Leaky-Integrate-and-Fire Neurons in Standard Machine Learning Architectures to Generate Hybrid Networks: A Surrogate Gradient Approach	13
Passive Nonlinear Dendritic Interactions as a Computational Resource in Spiking Neural Networks	13
ReLU Networks Are Universal Approximators via Piecewise Linear or Constant Functions	13
Resonator Networks, 2: Factorization Performance and Capacity Compared to Optimization-Based Methods	13
Efficient Position Decoding Methods Based on Fluorescence Calcium Imaging in the Mouse Hippocampus	12
The Discriminative Kalman Filter for Bayesian Filtering with Nonlinear and Nongaussian Observation Models	12
Recurrent Connections in the Primate Ventral Visual Stream Mediate a Trade-Off Between Task Performance and Network Size During Core Object Recognition	12
A Discrete-Time Neurodynamic Approach to Sparsity-Constrained Nonnegative Matrix Factorization	11
Any Target Function Exists in a Neighborhood of Any Sufficiently Wide Random Network: A Geometrical Perspective	11
A Correspondence Between Normalization Strategies in Artificial and Biological Neural Networks	11
Synchrony and Complexity in State-Related EEG Networks: An Application of Spectral Graph Theory	11
Fast and Accurate Langevin Simulations of Stochastic Hodgkin-Huxley Dynamics	11
Parameter Estimation in Multiple Dynamic Synaptic Coupling Model Using Bayesian Point Process State-Space Modeling Framework	11
Assessing Goodness-of-Fit in Marked Point Process Models of Neural Population Coding via Time and Rate Rescaling	10
Classification From Pairwise Similarities/Dissimilarities and Unlabeled Data via Empirical Risk Minimization	10
A Predictive Processing Model of Episodic Memory and Time Perception	10
NMDA Receptor Alterations After Mild Traumatic Brain Injury Induce Deficits in Memory Acquisition and Recall	10
Least kth-Order and Rényi Generative Adversarial Networks	10
Stimulus-Driven and Spontaneous Dynamics in Excitatory-Inhibitory Recurrent Neural Networks for Sequence Representation	10
Few-Shot Learning in Spiking Neural Networks by Multi-Timescale Optimization	10
Effect of Top-Down Connections in Hierarchical Sparse Coding	10
Simulating and Predicting Dynamical Systems With Spatial Semantic Pointers	9
Adaptive Learning Neural Network Method for Solving Time–Fractional Diffusion Equations	9
Modal Principal Component Analysis	9
Inference of a Mesoscopic Population Model from Population Spike Trains	9
Real-Time Decoding of Attentional States Using Closed-Loop EEG Neurofeedback	9
Feelings Are the Source of Consciousness	9
Modern Artificial Neural Networks: Is Evolution Cleverer?	9
Reverse-Engineering Neural Networks to Characterize Their Cost Functions	8
eSPA+: Scalable Entropy-Optimal Machine Learning Classification for Small Data Problems	8
Skip-Connected Self-Recurrent Spiking Neural Networks With Joint Intrinsic Parameter and Synaptic Weight Training	8
Body Mechanics, Optimality, and Sensory Feedback in the Human Control of Complex Objects	8
Salient Slices: Improved Neural Network Training and Performance with Image Entropy	8
Dynamic Spatiotemporal Pattern Recognition with Recurrent Spiking Neural Network	8
Binless Kernel Machine: Modeling Spike Train Transformation for Cognitive Neural Prostheses	7
A Biologically Plausible Neural Network for Multichannel Canonical Correlation Analysis	7
The Refractory Period Matters: Unifying Mechanisms of Macroscopic Brain Waves	7
Flexible Frequency Switching in Adult Mouse Visual Cortex Is Mediated by Competition Between Parvalbumin and Somatostatin Expressing Interneurons	7
A Generalization of Spatial Monte Carlo Integration	7
Training Spiking Neural Networks in the Strong Coupling Regime	6
Temporal Variabilities Provide Additional Category-Related Information in Object Category Decoding: A Systematic Comparison of Informative EEG Features	6
The Stochastic Delta Rule: Faster and More Accurate Deep Learning Through Adaptive Weight Noise	6
A Neural Model for Insect Steering Applied to Olfaction and Path Integration	6
Reduced-Dimension, Biophysical Neuron Models Constructed From Observed Data	6

A Cerebellar Computational Mechanism for Delay Conditioning at Precise Time Intervals	6
Robust Stability Analysis of Delayed Stochastic Neural Networks via Wirtinger-Based Integral Inequality	6
A Model of Semantic Completion in Generative Episodic Memory	6
Heterogeneous Synaptic Weighting Improves Neural Coding in the Presence of Common Noise	6
Nonconvex Sparse Regularization for Deep Neural Networks and Its Optimality	6
Minimal Spiking Neuron for Solving Multilabel Classification Tasks	6
Realizing Active Inference in Variational Message Passing: The Outcome-Blind Certainty Seeker	6
Modeling the Ventral and Dorsal Cortical Visual Pathways Using Artificial Neural Networks	6
Role of Interaction Delays in the Synchronization of Inhibitory Networks	6
Probing the Relationship Between Latent Linear Dynamical Systems and Low-Rank Recurrent Neural Network Models	6
Equivalence Projective Simulation as a Framework for Modeling Formation of Stimulus Equivalence Classes	6
TARA: Training and Representation Alteration for AI Fairness and Domain Generalization	6
Power Function Error Initialization Can Improve Convergence of Backpropagation Learning in Neural Networks for Classification	5
Performance Limitations in Sensorimotor Control: Trade-Offs Between Neural Computation and Accuracy in Tracking Fast Movements	5
Unsupervised Discovery, Control, and Disentanglement of Semantic Attributes With Applications to Anomaly Detection	5
Principal Component Analysis for Gaussian Process Posteriors	5
A Computational Study on Synaptic Plasticity Regulation and Information Processing in Neuron-Astrocyte Networks	5
Emergence of Content-Agnostic Information Processing by a Robot Using Active Inference, Visual Attention, Working Memory, and Planning	5
Reinforcement Learning in Sparse-Reward Environments With Hindsight Policy Gradients	5
Using Global t-SNE to Preserve Intercluster Data Structure	5
A Double-Layer Multi-Resolution Classification Model for Decoding Spatiotemporal Patterns of Spikes With Small Sample Size	5
Simple Convolutional-Based Models: Are They Learning the Task or the Data?	5
On the Achievability of Blind Source Separation for High-Dimensional Nonlinear Source Mixtures	5
Detecting Scene-Plausible Perceptible Backdoors in Trained DNNs Without Access to the Training Set	5
Understanding the Computational Demands Underlying Visual Reasoning	5
Comparison of Different Spike Train Synchrony Measures Regarding Their Robustness to Erroneous Data From Bicuculline-Induced Epileptiform Activity	5
NetPyNE Implementation and Scaling of the Potjans-Diesmann Cortical Microcircuit Model	5
Shapley Homology: Topological Analysis of Sample Influence for Neural Networks	4
A Simple Model of Nonspiking Neurons	4
Decoding Pixel-Level Image Features From Two-Photon Calcium Signals of Macaque Visual Cortex	4
Burster Reconstruction Considering Unmeasurable Variables in the Epileptor Model	4
Spatial Attention Enhances Crowded Stimulus Encoding Across Modeled Receptive Fields by Increasing Redundancy of Feature Representations	4
Hierarchical Dynamical Model for Multiple Cortical Neural Decoding	4
Restricted Boltzmann Machines as Models of Interacting Variables	4
Training Deep Convolutional Spiking Neural Networks With Spike Probabilistic Global Pooling	4
Pathological Spectra of the Fisher Information Metric and Its Variants in Deep Neural Networks	4
Contrastive Similarity Matching for Supervised Learning	4
Bridging the Gap Between Neurons and Cognition Through Assemblies of Neurons	4
Parameter Identification Problem in the Hodgkin-Huxley Model	4
Understanding Memories of the Past in the Context of Different Complex Neural Network Architectures	4
Closed-Loop Deep Learning: Generating Forward Models With Backpropagation	4
Flexible Transmitter Network	4
New Insights Into Learning With Correntropy-Based Regression	4
Hyperbolic-Valued Hopfield Neural Networks in Synchronous Mode	4
Task-Agnostic Continual Learning Using Online Variational Bayes with Fixed-Point Updates	4
Differential Covariance: A New Method to Estimate Functional Connectivity in fMRI	3
Disentangled Representation Learning and Generation With Manifold Optimization	3
Reward Maximization Through Discrete Active Inference	3
Optimal Quadratic Binding for Relational Reasoning in Vector Symbolic Neural Architectures	3
Generation of Scale-Invariant Sequential Activity in Linear Recurrent Networks	3
From Pavlov Conditioning to Hebb Learning	3
Online Mental Fatigue Monitoring via Indirect Brain Dynamics Evaluation	3
Active Predictive Coding: A Unifying Neural Model for Active Perception, Compositional Learning, and Hierarchical Planning	3
From Biophysical to Integrate-and-Fire Modeling	3
A Framework of Learning Through Empirical Gain Maximization	3
Enhanced Signal Detection by Adaptive Decorrelation of Interspike Intervals	3
Active Learning for Enumerating Local Minima Based on Gaussian Process Derivatives	3
Asymptotic Input-Output Relationship Predicts Electric Field Effect on Sublinear Dendritic Integration of AMPA Synapses	3
Tensor Least Angle Regression for Sparse Representations of Multidimensional Signals	3
Neuromorphic Engineering: In Memory of Misha Mahowald	3
Comparison of the Representational Power of Random Forests, Binary Decision Diagrams, and Neural Networks	3
Predicting the Ease of Human Category Learning Using Radial Basis Function Networks	3
Stochastic Multichannel Ranking with Brain Dynamics Preferences	3
Semisupervised Ordinal Regression Based on Empirical Risk Minimization	3
Beyond Backpropagation: Bilevel Optimization Through Implicit Differentiation and Equilibrium Propagation	3
Learning the Synaptic and Intrinsic Membrane Dynamics Underlying Working Memory in Spiking Neural Network Models	3
Hypothesis Test and Confidence Analysis With Wasserstein Distance on General Dimension	3
Stability Conditions of Bicomplex-Valued Hopfield Neural Networks	3
Learning With Proper Partial Labels	3
Chance-Constrained Active Inference	3
Independently Interpretable Lasso for Generalized Linear Models	2
Active Classification With Uncertainty Comparison Queries	2
Neural Information Processing and Computations of Two-Input Synapses	2
Bicomplex Projection Rule for Complex-Valued Hopfield Neural Networks	2
Large-Scale Algorithmic Search Identifies Stiff and Sloppy Dimensions in Synaptic Architectures Consistent With Murine Neocortical Wiring	2
Learning Brain Dynamics With Coupled Low-Dimensional Nonlinear Oscillators and Deep Recurrent Networks	2
Learning and Inference in Sparse Coding Models With Langevin Dynamics	2
Direct Discriminative Decoder Models for Analysis of High-Dimensional Dynamical Neural Data	2
Distributed Phase Oscillatory Excitation Efficiently Produces Attractors Using Spike-Timing-Dependent Plasticity	2
Enhanced Equivalence Projective Simulation: A Framework for Modeling Formation of Stimulus Equivalence Classes	2

Deep Learning Solution of the Eigenvalue Problem for Differential Operators	2
Active Learning for Level Set Estimation Under Input Uncertainty and Its Extensions	2
IAN: Iterated Adaptive Neighborhoods for Manifold Learning and Dimensionality Estimation	2
Differential Dopamine Receptor-Dependent Sensitivity Improves the Switch Between Hard and Soft Selection in a Model of the Basal Ganglia	2
Neural Circuits for Dynamics-Based Segmentation of Time Series	2
Asymmetric Complexity in a Pupil Control Model With Laterally Imbalanced Neural Activity in the Locus Coeruleus: A Potential Biomarker for Attention-Deficit/Hyperactivity Disorder	2
Tracking Fast and Slow Changes in Synaptic Weights from Simultaneously Observed Pre- and Postsynaptic Spiking	2
Capacity Limitations of Visual Search in Deep Convolutional Neural Networks	2
Identifying and Localizing Multiple Objects Using Artificial Ventral and Dorsal Cortical Visual Pathways	2
Heterogeneity in Neuronal Dynamics Is Learned by Gradient Descent for Temporal Processing Tasks	2
A Neurodynamic Model of Saliency Prediction in V1	2
On the Explainability of Graph Convolutional Network With GCN Tangent Kernel	2
A Generalized Framework of Multifidelity Max-Value Entropy Search Through Joint Entropy	2
Do Neural Networks for Segmentation Understand Insideness?	2
Mapping Low-Dimensional Dynamics to High-Dimensional Neural Activity: A Derivation of the Ring Model From the Neural Engineering Framework	2
Convolution-Based Model-Solving Method for Three-Dimensional, Unsteady, Partial Differential Equations	2
Traveling Waves in Quasi-One-Dimensional Neuronal Minicolumns	2
Toward a Brain-Inspired Developmental Neural Network Based on Dendritic Spine Dynamics	2
A Novel Neural Model With Lateral Interaction for Learning Tasks	2
Analyzing and Accelerating the Bottlenecks of Training Deep SNNs With Backpropagation	2
Randomized Self-Organizing Map	2
Neural Networks with Disabilities: An Introduction to Complementary Artificial Intelligence	2
Multiview Alignment and Generation in CCA via Consistent Latent Encoding	2
Analysis of EEG Data Using Complex Geometric Structurization	2
A Predictive-Coding Network That Is Both Discriminative and Generative	2
First Passage Time Memory Lifetimes for Multistate, Filter-Based Synapses	2
Dynamic Modeling of Spike Count Data With Conway-Maxwell Poisson Variability	2
Inferring Neuronal Couplings From Spiking Data Using a Systematic Procedure With a Statistical Criterion	2
Efficient Actor-Critic Reinforcement Learning With Embodiment of Muscle Tone for Posture Stabilization of the Human Arm	2
Confidence-Controlled Hebbian Learning Efficiently Extracts Category Membership From Stimuli Encoded in View of a Categorization Task	2
Fixed-Time Stable Neurodynamic Flow to Sparse Signal Recovery via Nonconvex L1-β2-Norm	2