Neural Computation

Article	Citations
The Remarkable Robustness of Surrogate Gradient Learning for Instilling Complex Function in Spiking Neural Networks	106
Deeply Felt Affect: The Emergence of Valence in Deep Active Inference	93
Active Inference: Demystified and Compared	89
Sophisticated Inference	69
Parametric UMAP Embeddings for Representation and Semisupervised Learning	67
Large Language Models and the Reverse Turing Test	55
Shaping Dynamics With Multiple Populations in Low-Rank Recurrent Networks	49
Replay in Deep Learning: Current Approaches and Missing Biological Elements	38
Whence the Expected Free Energy?	32
How to Represent Part-Whole Hierarchies in a Neural Network	32
Advancements in Algorithms and Neuromorphic Hardware for Spiking Neural Networks	31
Classification of Autism Spectrum Disorder From EEG-Based Functional Brain Connectivity Analysis	31
Conductance-Based Adaptive Exponential Integrate-and-Fire Model	28
Predictive Processing in Cognitive Robotics: A Review	27
The Effect of Class Imbalance on Precision-Recall Curves	27
Artificial Neural Variability for Deep Learning: On Overfitting, Noise Memorization, and Catastrophic Forgetting	26
Deep Network With Approximation Error Being Reciprocal of Width to Power of Square Root of Depth	24
Resonator Networks, 1: An Efficient Solution for Factoring High-Dimensional, Distributed Representations of Data Structures	24
Implicit Regularization and Momentum Algorithms in Nonlinearly Parameterized Adaptive Control and Prediction	21
A Normative Account of Confirmation Bias During Reinforcement Learning	21
Predictive Coding, Variational Autoencoders, and Biological Connections	20
Bridging M/EEG Source Imaging and Independent Component Analysis Frameworks Using Biologically Inspired Sparsity Priors	20
Predictive Coding Approximates Backprop Along Arbitrary Computation Graphs	20
Nonlinear Decoding of Natural Images From Large-Scale Primate Retinal Ganglion Recordings	18
Might a Single Neuron Solve Interesting Machine Learning Problems Through Successive Computations on Its Dendritic Tree?	18

Learning in Volatile Environments With the Bayes Factor Surprise	18
Resonator Networks, 2: Factorization Performance and Capacity Compared to Optimization-Based Methods	18
Flexible Working Memory Through Selective Gating and Attentional Tagging	18
Feelings Are the Source of Consciousness	16
ReLU Networks Are Universal Approximators via Piecewise Linear or Constant Functions	16
Recurrent Connections in the Primate Ventral Visual Stream Mediate a Trade-Off Between Task Performance and Network Size During Core Object Recognition	15
Body Mechanics, Optimality, and Sensory Feedback in the Human Control of Complex Objects	13
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
A Correspondence Between Normalization Strategies in Artificial and Biological Neural Networks	13
Probing the Relationship Between Latent Linear Dynamical Systems and Low-Rank Recurrent Neural Network Models	12
Few-Shot Learning in Spiking Neural Networks by Multi-Timescale Optimization	12
Parameter Estimation in Multiple Dynamic Synaptic Coupling Model Using Bayesian Point Process State-Space Modeling Framework	12
Stimulus-Driven and Spontaneous Dynamics in Excitatory-Inhibitory Recurrent Neural Networks for Sequence Representation	12
Synchrony and Complexity in State-Related EEG Networks: An Application of Spectral Graph Theory	12
Simulating and Predicting Dynamical Systems With Spatial Semantic Pointers	11
Using Global t-SNE to Preserve Intercluster Data Structure	11
Least kth-Order and Rényi Generative Adversarial Networks	11
A Predictive Processing Model of Episodic Memory and Time Perception	11
A Model of Semantic Completion in Generative Episodic Memory	11
Reverse-Engineering Neural Networks to Characterize Their Cost Functions	11
eSPA+: Scalable Entropy-Optimal Machine Learning Classification for Small Data Problems	11
Classification From Pairwise Similarities/Dissimilarities and Unlabeled Data via Empirical Risk Minimization	10
Adaptive Learning Neural Network Method for Solving Time–Fractional Diffusion Equations	10
NMDA Receptor Alterations After Mild Traumatic Brain Injury Induce Deficits in Memory Acquisition and Recall	10
Effect of Top-Down Connections in Hierarchical Sparse Coding	10
Assessing Goodness-of-Fit in Marked Point Process Models of Neural Population Coding via Time and Rate Rescaling	10
Reward Maximization Through Discrete Active Inference	10
Modern Artificial Neural Networks: Is Evolution Cleverer?	10
Real-Time Decoding of Attentional States Using Closed-Loop EEG Neurofeedback	9
Skip-Connected Self-Recurrent Spiking Neural Networks With Joint Intrinsic Parameter and Synaptic Weight Training	9
Flexible Frequency Switching in Adult Mouse Visual Cortex Is Mediated by Competition Between Parvalbumin and Somatostatin Expressing Interneurons	8
Robust Stability Analysis of Delayed Stochastic Neural Networks via Wirtinger-Based Integral Inequality	8
Modeling the Ventral and Dorsal Cortical Visual Pathways Using Artificial Neural Networks	8
The Refractory Period Matters: Unifying Mechanisms of Macroscopic Brain Waves	8
TARA: Training and Representation Alteration for AI Fairness and Domain Generalization	8
A Biologically Plausible Neural Network for Multichannel Canonical Correlation Analysis	8
A Neural Model for Insect Steering Applied to Olfaction and Path Integration	8
Temporal Variabilities Provide Additional Category-Related Information in Object Category Decoding: A Systematic Comparison of Informative EEG Features	8
Detecting Scene-Plausible Perceptible Backdoors in Trained DNNs Without Access to the Training Set	7
A Computational Study on Synaptic Plasticity Regulation and Information Processing in Neuron-Astrocyte Networks	7
Reduced-Dimension, Biophysical Neuron Models Constructed From Observed Data	7
Dynamic Spatiotemporal Pattern Recognition with Recurrent Spiking Neural Network	7
A Generalization of Spatial Monte Carlo Integration	7
Role of Interaction Delays in the Synchronization of Inhibitory Networks	7
Decoding Pixel-Level Image Features From Two-Photon Calcium Signals of Macaque Visual Cortex	6
Nonconvex Sparse Regularization for Deep Neural Networks and Its Optimality	6
Realizing Active Inference in Variational Message Passing: The Outcome-Blind Certainty Seeker	6
A Simple Model of Nonspiking Neurons	6
Simple Convolutional-Based Models: Are They Learning the Task or the Data?	6

Training Spiking Neural Networks in the Strong Coupling Regime	6
Bridging the Gap Between Neurons and Cognition Through Assemblies of Neurons	6
Deep Learning Solution of the Eigenvalue Problem for Differential Operators	6
A Cerebellar Computational Mechanism for Delay Conditioning at Precise Time Intervals	6
Parameter Identification Problem in the Hodgkin-Huxley Model	6
Emergence of Content-Agnostic Information Processing by a Robot Using Active Inference, Visual Attention, Working Memory, and Planning	5
Hypothesis Test and Confidence Analysis With Wasserstein Distance on General Dimension	5
Principal Component Analysis for Gaussian Process Posteriors	5
Power Function Error Initialization Can Improve Convergence of Backpropagation Learning in Neural Networks for Classification	5
On the Achievability of Blind Source Separation for High-Dimensional Nonlinear Source Mixtures	5
Unsupervised Discovery, Control, and Disentanglement of Semantic Attributes With Applications to Anomaly Detection	5
Understanding the Computational Demands Underlying Visual Reasoning	5
Closed-Loop Deep Learning: Generating Forward Models With Backpropagation	5
Predicting the Ease of Human Category Learning Using Radial Basis Function Networks	5
Reinforcement Learning in Sparse-Reward Environments With Hindsight Policy Gradients	5
Efficient Decoding of Compositional Structure in Holistic Representations	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
New Insights Into Learning With Correntropy-Based Regression	5
Flexible Transmitter Network	4
Toward a Brain-Inspired Developmental Neural Network Based on Dendritic Spine Dynamics	4
Enhanced Signal Detection by Adaptive Decorrelation of Interspike Intervals	4
Beyond Backpropagation: Bilevel Optimization Through Implicit Differentiation and Equilibrium Propagation	4
Learning the Synaptic and Intrinsic Membrane Dynamics Underlying Working Memory in Spiking Neural Network Models	4
Restricted Boltzmann Machines as Models of Interacting Variables	4
Contrastive Similarity Matching for Supervised Learning	4
Burster Reconstruction Considering Unmeasurable Variables in the Epileptor Model	4
Asymptotic Input-Output Relationship Predicts Electric Field Effect on Sublinear Dendritic Integration of AMPA Synapses	4
Understanding Memories of the Past in the Context of Different Complex Neural Network Architectures	4
Online Mental Fatigue Monitoring via Indirect Brain Dynamics Evaluation	4
Training Deep Convolutional Spiking Neural Networks With Spike Probabilistic Global Pooling	4
Chance-Constrained Active Inference	4
Pathological Spectra of the Fisher Information Metric and Its Variants in Deep Neural Networks	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
Task-Agnostic Continual Learning Using Online Variational Bayes with Fixed-Point Updates	4
From Pavlov Conditioning to Hebb Learning	4
Disentangled Representation Learning and Generation With Manifold Optimization	3
Optimal Quadratic Binding for Relational Reasoning in Vector Symbolic Neural Architectures	3
Enhanced Equivalence Projective Simulation: A Framework for Modeling Formation of Stimulus Equivalence Classes	3
Neuromorphic Engineering: In Memory of Misha Mahowald	3
Convolution-Based Model-Solving Method for Three-Dimensional, Unsteady, Partial Differential Equations	3
Confidence-Controlled Hebbian Learning Efficiently Extracts Category Membership From Stimuli Encoded in View of a Categorization Task	3
Learning With Proper Partial Labels	3
Differential Covariance: A New Method to Estimate Functional Connectivity in fMRI	3
Fixed-Time Stable Neurodynamic Flow to Sparse Signal Recovery via Nonconvex L1-β2-Norm	3
Semisupervised Ordinal Regression Based on Empirical Risk Minimization	3
Redundancy-Aware Pruning of Convolutional Neural Networks	3
Analysis of EEG Data Using Complex Geometric Structurization	3
Inferring Neuronal Couplings From Spiking Data Using a Systematic Procedure With a Statistical Criterion	3
Categorical Perception: A Groundwork for Deep Learning	3
Active Predictive Coding: A Unifying Neural Model for Active Perception, Compositional Learning, and Hierarchical Planning	3
Dynamic Consolidation for Continual Learning	3
A Framework of Learning Through Empirical Gain Maximization	3
An FPGA Accelerator for High-Speed Moving Objects Detection and Tracking With a Spike Camera	3
A Novel Neural Model With Lateral Interaction for Learning Tasks	3
Tracking Fast and Slow Changes in Synaptic Weights from Simultaneously Observed Pre- and Postsynaptic Spiking	3
Identifying and Localizing Multiple Objects Using Artificial Ventral and Dorsal Cortical Visual Pathways	3
Learning and Inference in Sparse Coding Models With Langevin Dynamics	3
Stability Conditions of Bicomplex-Valued Hopfield Neural Networks	3
Deep Clustering With a Constraint for Topological Invariance Based on Symmetric InfoNCE	3
Comparison of the Representational Power of Random Forests, Binary Decision Diagrams, and Neural Networks	3
From Biophysical to Integrate-and-Fire Modeling	3
Active Learning for Level Set Estimation Under Input Uncertainty and Its Extensions	3
Visuomotor Mismatch Responses as a Hallmark of Explaining Away in Causal Inference	3
Bicomplex Projection Rule for Complex-Valued Hopfield Neural Networks	3
Heterogeneity in Neuronal Dynamics Is Learned by Gradient Descent for Temporal Processing Tasks	2
A Neurodynamic Model of Saliency Prediction in V1	2
On Suspicious Coincidences and Pointwise Mutual Information	2
Reducing Catastrophic Forgetting With Associative Learning: A Lesson From Fruit Flies	2
On the Explainability of Graph Convolutional Network With GCN Tangent Kernel	2
Understanding and Applying Deep Learning	2
Traveling Waves in Quasi-One-Dimensional Neuronal Minicolumns	2
Differential Dopamine Receptor-Dependent Sensitivity Improves the Switch Between Hard and Soft Selection in a Model of the Basal Ganglia	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
Inferring Mechanisms of Auditory Attentional Modulation with Deep Neural Networks	2
Training a Hyperdimensional Computing Classifier Using a Threshold on Its Confidence	2
Evidence for Multiscale Multiplexed Representation of Visual Features in EEG	2
IAN: Iterated Adaptive Neighborhoods for Manifold Learning and Dimensionality Estimation	2
Self-Organization of Nonlinearly Coupled Neural Fluctuations Into Synergistic Population Codes	2

Predictive Coding as a Neuromorphic Alternative to Backpropagation: A Critical Evaluation	2
A Dynamic Neural Field Model of Multimodal Merging: Application to the Ventriloquist Effect	2
Mean-Field Approximations With Adaptive Coupling for Networks With Spike-Timing-Dependent Plasticity	2
Gaussian Process Koopman Mode Decomposition	2
Dynamic Modeling of Spike Count Data With Conway-Maxwell Poisson Variability	2
Neural Circuits for Dynamics-Based Segmentation of Time Series	2
Bayesian Optimization for Cascade-Type Multistage Processes	2
Neural Information Processing and Computations of Two-Input Synapses	2
Active Classification With Uncertainty Comparison Queries	2
Bayesian Brains and the Rényi Divergence	2
Capacity Limitations of Visual Search in Deep Convolutional Neural Networks	2
Learning Brain Dynamics With Coupled Low-Dimensional Nonlinear Oscillators and Deep Recurrent Networks	2
Mapping Low-Dimensional Dynamics to High-Dimensional Neural Activity: A Derivation of the Ring Model From the Neural Engineering Framework	2
Model Based or Model Free? Comparing Adaptive Methods for Estimating Thresholds in Neuroscience	2
Cooperativity, Information Gain, and Energy Cost During Early LTP in Dendritic Spines	2
A Generalized Framework of Multifidelity Max-Value Entropy Search Through Joint Entropy	2
Distributed Phase Oscillatory Excitation Efficiently Produces Attractors Using Spike-Timing-Dependent Plasticity	2
Do Neural Networks for Segmentation Understand Insideness?	2
Graph Clustering With Graph Capsule Network	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
Quantifying and Maximizing the Information Flux in Recurrent Neural Networks	2
Positive Competitive Networks for Sparse Reconstruction	2
Efficient Actor-Critic Reinforcement Learning With Embodiment of Muscle Tone for Posture Stabilization of the Human Arm	2
Large-Scale Algorithmic Search Identifies Stiff and Sloppy Dimensions in Synaptic Architectures Consistent With Murine Neocortical Wiring	2
Direct Discriminative Decoder Models for Analysis of High-Dimensional Dynamical Neural Data	2