Neural Computation

Article	Citations
A Survey on Deep Learning for Multimodal Data Fusion	245
The Remarkable Robustness of Surrogate Gradient Learning for Instilling Complex Function in Spiking Neural Networks	82
Deeply Felt Affect: The Emergence of Valence in Deep Active Inference	80
Active Inference: Demystified and Compared	74
Sophisticated Inference	62
Parametric UMAP Embeddings for Representation and Semisupervised Learning	57
Shaping Dynamics With Multiple Populations in Low-Rank Recurrent Networks	39
A Mean-Field Description of Bursting Dynamics in Spiking Neural Networks with Short-Term Adaptation	29
Whence the Expected Free Energy?	28
Large Language Models and the Reverse Turing Test	28
Replay in Deep Learning: Current Approaches and Missing Biological Elements	26
Classification of Autism Spectrum Disorder From EEG-Based Functional Brain Connectivity Analysis	25
Model-Free Robust Optimal Feedback Mechanisms of Biological Motor Control	24
Conductance-Based Adaptive Exponential Integrate-and-Fire Model	23
Deep Network With Approximation Error Being Reciprocal of Width to Power of Square Root of Depth	22
The Effect of Class Imbalance on Precision-Recall Curves	21
Artificial Neural Variability for Deep Learning: On Overfitting, Noise Memorization, and Catastrophic Forgetting	21
How to Represent Part-Whole Hierarchies in a Neural Network	20
Predictive Processing in Cognitive Robotics: A Review	19
Advancements in Algorithms and Neuromorphic Hardware for Spiking Neural Networks	19
On a Scalable Entropic Breaching of the Overfitting Barrier for Small Data Problems in Machine Learning	19
Implicit Regularization and Momentum Algorithms in Nonlinearly Parameterized Adaptive Control and Prediction	18
Bridging M/EEG Source Imaging and Independent Component Analysis Frameworks Using Biologically Inspired Sparsity Priors	17
Learning in Volatile Environments With the Bayes Factor Surprise	17
Predictive Coding Approximates Backprop Along Arbitrary Computation Graphs	17

Predictive Coding, Variational Autoencoders, and Biological Connections	16
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	15
A Normative Account of Confirmation Bias During Reinforcement Learning	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	13
Efficient Position Decoding Methods Based on Fluorescence Calcium Imaging in the Mouse Hippocampus	12
Resonator Networks, 2: Factorization Performance and Capacity Compared to Optimization-Based Methods	12
ReLU Networks Are Universal Approximators via Piecewise Linear or Constant Functions	12
Passive Nonlinear Dendritic Interactions as a Computational Resource in Spiking Neural Networks	12
Integration of Leaky-Integrate-and-Fire Neurons in Standard Machine Learning Architectures to Generate Hybrid Networks: A Surrogate Gradient Approach	12
Recurrent Connections in the Primate Ventral Visual Stream Mediate a Trade-Off Between Task Performance and Network Size During Core Object Recognition	12
Fast and Accurate Langevin Simulations of Stochastic Hodgkin-Huxley Dynamics	11
Online Learning Based on Online DCA and Application to Online Classification	11
A Correspondence Between Normalization Strategies in Artificial and Biological Neural Networks	11
Parameter Estimation in Multiple Dynamic Synaptic Coupling Model Using Bayesian Point Process State-Space Modeling Framework	11
The Discriminative Kalman Filter for Bayesian Filtering with Nonlinear and Nongaussian Observation Models	11
Synchrony and Complexity in State-Related EEG Networks: An Application of Spectral Graph Theory	11
Assessing Goodness-of-Fit in Marked Point Process Models of Neural Population Coding via Time and Rate Rescaling	10
Nonequilibrium Statistical Mechanics of Continuous Attractors	10
Stimulus-Driven and Spontaneous Dynamics in Excitatory-Inhibitory Recurrent Neural Networks for Sequence Representation	10
Any Target Function Exists in a Neighborhood of Any Sufficiently Wide Random Network: A Geometrical Perspective	10
Classification From Pairwise Similarities/Dissimilarities and Unlabeled Data via Empirical Risk Minimization	10
A Discrete-Time Neurodynamic Approach to Sparsity-Constrained Nonnegative Matrix Factorization	10
Effect of Top-Down Connections in Hierarchical Sparse Coding	10
Least kth-Order and Rényi Generative Adversarial Networks	9
Hidden Aspects of the Research ADOS Are Bound to Affect Autism Science	9
Real-Time Decoding of Attentional States Using Closed-Loop EEG Neurofeedback	9
Modal Principal Component Analysis	9
Few-Shot Learning in Spiking Neural Networks by Multi-Timescale Optimization	9
Classification from Triplet Comparison Data	9
Inference of a Mesoscopic Population Model from Population Spike Trains	9
NMDA Receptor Alterations After Mild Traumatic Brain Injury Induce Deficits in Memory Acquisition and Recall	9
Simulating and Predicting Dynamical Systems With Spatial Semantic Pointers	8
A Predictive Processing Model of Episodic Memory and Time Perception	8
eSPA+: Scalable Entropy-Optimal Machine Learning Classification for Small Data Problems	8
Salient Slices: Improved Neural Network Training and Performance with Image Entropy	8
Adaptive Learning Neural Network Method for Solving Time–Fractional Diffusion Equations	8
Reverse-Engineering Neural Networks to Characterize Their Cost Functions	8
Skip-Connected Self-Recurrent Spiking Neural Networks With Joint Intrinsic Parameter and Synaptic Weight Training	8
Dynamic Spatiotemporal Pattern Recognition with Recurrent Spiking Neural Network	8
Binless Kernel Machine: Modeling Spike Train Transformation for Cognitive Neural Prostheses	7
Flexible Frequency Switching in Adult Mouse Visual Cortex Is Mediated by Competition Between Parvalbumin and Somatostatin Expressing Interneurons	7
The Refractory Period Matters: Unifying Mechanisms of Macroscopic Brain Waves	7
A Biologically Plausible Neural Network for Multichannel Canonical Correlation Analysis	7
Modern Artificial Neural Networks: Is Evolution Cleverer?	7
Minimal Spiking Neuron for Solving Multilabel Classification Tasks	6
Modeling the Ventral and Dorsal Cortical Visual Pathways Using Artificial Neural Networks	6
Realizing Active Inference in Variational Message Passing: The Outcome-Blind Certainty Seeker	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
Robust Stability Analysis of Delayed Stochastic Neural Networks via Wirtinger-Based Integral Inequality	6
The Stochastic Delta Rule: Faster and More Accurate Deep Learning Through Adaptive Weight Noise	6
Power Function Error Initialization Can Improve Convergence of Backpropagation Learning in Neural Networks for Classification	5
Feelings Are the Source of Consciousness	5
On the Achievability of Blind Source Separation for High-Dimensional Nonlinear Source Mixtures	5
Reinforcement Learning in Sparse-Reward Environments With Hindsight Policy Gradients	5
Principal Component Analysis for Gaussian Process Posteriors	5
A Double-Layer Multi-Resolution Classification Model for Decoding Spatiotemporal Patterns of Spikes With Small Sample Size	5
NetPyNE Implementation and Scaling of the Potjans-Diesmann Cortical Microcircuit Model	5
A Neural Model for Insect Steering Applied to Olfaction and Path Integration	5
TARA: Training and Representation Alteration for AI Fairness and Domain Generalization	5
Performance Limitations in Sensorimotor Control: Trade-Offs Between Neural Computation and Accuracy in Tracking Fast Movements	5
A Generalization of Spatial Monte Carlo Integration	5
A Model of Semantic Completion in Generative Episodic Memory	5
Comparison of Different Spike Train Synchrony Measures Regarding Their Robustness to Erroneous Data From Bicuculline-Induced Epileptiform Activity	5
Emergence of Content-Agnostic Information Processing by a Robot Using Active Inference, Visual Attention, Working Memory, and Planning	5
Training Spiking Neural Networks in the Strong Coupling Regime	5
Detecting Scene-Plausible Perceptible Backdoors in Trained DNNs Without Access to the Training Set	5
Unsupervised Discovery, Control, and Disentanglement of Semantic Attributes With Applications to Anomaly Detection	5
Role of Interaction Delays in the Synchronization of Inhibitory Networks	5
Heterogeneous Synaptic Weighting Improves Neural Coding in the Presence of Common Noise	5
Spatial Attention Enhances Crowded Stimulus Encoding Across Modeled Receptive Fields by Increasing Redundancy of Feature Representations	4
Temporal Variabilities Provide Additional Category-Related Information in Object Category Decoding: A Systematic Comparison of Informative EEG Features	4
Shapley Homology: Topological Analysis of Sample Influence for Neural Networks	4
Using Global t-SNE to Preserve Intercluster Data Structure	4
Simple Convolutional-Based Models: Are They Learning the Task or the Data?	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
A Cerebellar Computational Mechanism for Delay Conditioning at Precise Time Intervals	4
Hierarchical Dynamical Model for Multiple Cortical Neural Decoding	4
Body Mechanics, Optimality, and Sensory Feedback in the Human Control of Complex Objects	4
A Simple Model of Nonspiking Neurons	4
Feature Extraction of Surface Electromyography Based on Improved Small-World Leaky Echo State Network	4
Pathological Spectra of the Fisher Information Metric and Its Variants in Deep Neural Networks	4
Contrastive Similarity Matching for Supervised Learning	4
Hyperbolic-Valued Hopfield Neural Networks in Synchronous Mode	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
Understanding the Computational Demands Underlying Visual Reasoning	4
Closed-Loop Deep Learning: Generating Forward Models With Backpropagation	4
Flexible Transmitter Network	4
New Insights Into Learning With Correntropy-Based Regression	4
Switching in Cerebellar Stellate Cell Excitability in Response to a Pair of Inhibitory/Excitatory Presynaptic Inputs: A Dynamical System Perspective	4
Reduced-Dimension, Biophysical Neuron Models Constructed From Observed Data	3
Stochastic Multichannel Ranking with Brain Dynamics Preferences	3
Semisupervised Ordinal Regression Based on Empirical Risk Minimization	3
Optimal Quadratic Binding for Relational Reasoning in Vector Symbolic Neural Architectures	3
Asymptotic Input-Output Relationship Predicts Electric Field Effect on Sublinear Dendritic Integration of AMPA Synapses	3
A Computational Study on Synaptic Plasticity Regulation and Information Processing in Neuron-Astrocyte Networks	3
Training Deep Convolutional Spiking Neural Networks With Spike Probabilistic Global Pooling	3
Stability Conditions of Bicomplex-Valued Hopfield Neural Networks	3
From Biophysical to Integrate-and-Fire Modeling	3
Differential Covariance: A New Method to Estimate Functional Connectivity in fMRI	3
Nonconvex Sparse Regularization for Deep Neural Networks and Its Optimality	3
Reward Maximization Through Discrete Active Inference	3
Beyond Backpropagation: Bilevel Optimization Through Implicit Differentiation and Equilibrium Propagation	3
Generation of Scale-Invariant Sequential Activity in Linear Recurrent Networks	3
Neuromorphic Engineering: In Memory of Misha Mahowald	3
From Pavlov Conditioning to Hebb Learning	3
Predicting the Ease of Human Category Learning Using Radial Basis Function Networks	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
Task-Agnostic Continual Learning Using Online Variational Bayes with Fixed-Point Updates	3
Learning the Synaptic and Intrinsic Membrane Dynamics Underlying Working Memory in Spiking Neural Network Models	3
Restricted Boltzmann Machines as Models of Interacting Variables	3
Online Mental Fatigue Monitoring via Indirect Brain Dynamics Evaluation	3
Chance-Constrained Active Inference	3
Traveling Waves in Quasi-One-Dimensional Neuronal Minicolumns	2
Randomized Self-Organizing Map	2
Differential Dopamine Receptor-Dependent Sensitivity Improves the Switch Between Hard and Soft Selection in a Model of the Basal Ganglia	2
Neural Networks with Disabilities: An Introduction to Complementary Artificial Intelligence	2
Large-Scale Algorithmic Search Identifies Stiff and Sloppy Dimensions in Synaptic Architectures Consistent With Murine Neocortical Wiring	2
Analysis of EEG Data Using Complex Geometric Structurization	2
Mapping Low-Dimensional Dynamics to High-Dimensional Neural Activity: A Derivation of the Ring Model From the Neural Engineering Framework	2
Learning and Inference in Sparse Coding Models With Langevin Dynamics	2
IAN: Iterated Adaptive Neighborhoods for Manifold Learning and Dimensionality Estimation	2
Tensor Least Angle Regression for Sparse Representations of Multidimensional Signals	2
Convolution-Based Model-Solving Method for Three-Dimensional, Unsteady, Partial Differential Equations	2

A Generalized Framework of Multifidelity Max-Value Entropy Search Through Joint Entropy	2
Neural Circuits for Dynamics-Based Segmentation of Time Series	2
Inferring Neuronal Couplings From Spiking Data Using a Systematic Procedure With a Statistical Criterion	2
Active Learning for Level Set Estimation Under Input Uncertainty and Its Extensions	2
A Novel Neural Model With Lateral Interaction for Learning Tasks	2
Neural Information Processing and Computations of Two-Input Synapses	2
Bridging the Gap Between Neurons and Cognition Through Assemblies of Neurons	2
Bicomplex Projection Rule for Complex-Valued Hopfield Neural Networks	2
Multiview Alignment and Generation in CCA via Consistent Latent Encoding	2
Learning Brain Dynamics With Coupled Low-Dimensional Nonlinear Oscillators and Deep Recurrent Networks	2
Efficient Actor-Critic Reinforcement Learning With Embodiment of Muscle Tone for Posture Stabilization of the Human Arm	2
A Neurodynamic Model of Saliency Prediction in V1	2
Learning With Proper Partial Labels	2
Direct Discriminative Decoder Models for Analysis of High-Dimensional Dynamical Neural Data	2
Confidence-Controlled Hebbian Learning Efficiently Extracts Category Membership From Stimuli Encoded in View of a Categorization Task	2
Dynamic Modeling of Spike Count Data With Conway-Maxwell Poisson Variability	2
Do Neural Networks for Segmentation Understand Insideness?	2
Fixed-Time Stable Neurodynamic Flow to Sparse Signal Recovery via Nonconvex L1-β2-Norm	2
Active Classification With Uncertainty Comparison Queries	2
Tracking Fast and Slow Changes in Synaptic Weights from Simultaneously Observed Pre- and Postsynaptic Spiking	2
Disentangled Representation Learning and Generation With Manifold Optimization	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
A Predictive-Coding Network That Is Both Discriminative and Generative	2
Active Predictive Coding: A Unifying Neural Model for Active Perception, Compositional Learning, and Hierarchical Planning	2
First Passage Time Memory Lifetimes for Multistate, Filter-Based Synapses	2
Deep Learning Solution of the Eigenvalue Problem for Differential Operators	2
Distributed Phase Oscillatory Excitation Efficiently Produces Attractors Using Spike-Timing-Dependent Plasticity	2
Comparison of the Representational Power of Random Forests, Binary Decision Diagrams, and Neural Networks	2
Enhanced Equivalence Projective Simulation: A Framework for Modeling Formation of Stimulus Equivalence Classes	2
Analyzing and Accelerating the Bottlenecks of Training Deep SNNs With Backpropagation	2