Neural Computation

Article	Citations
Conductance-Based Phenomenological Nonspiking Model: A Dimensionless and Simple Model That Reliably Predicts the Effects of Conductance Variations on Nonspiking Neuronal Dynamics	95
Sensitivity of Sparse Codes to Image Distortions	61
Optimizing Attention and Cognitive Control Costs Using Temporally Layered Architectures	59
On Suspicious Coincidences and Pointwise Mutual Information	35
Bounded Rational Decision Networks With Belief Propagation	33
Mean-Field Approximations With Adaptive Coupling for Networks With Spike-Timing-Dependent Plasticity	30
Generalized Low-Rank Update: Model Parameter Bounds for Low-Rank Training Data Modifications	26
Permitted Sets and Convex Coding in Nonthreshold Linear Networks	24
Top-Down Priors Disambiguate Target and Distractor Features in Simulated Covert Visual Search	24
Self-Organization of Nonlinearly Coupled Neural Fluctuations Into Synergistic Population Codes	20
Understanding the Computational Demands Underlying Visual Reasoning	20
Bridging the Functional and Wiring Properties of V1 Neurons Through Sparse Coding	20
A Model of Semantic Completion in Generative Episodic Memory	20
Asymmetric Weights and Retrieval Practice in an Autoassociative Neural Network Model of Paired-Associate Learning	19
Modeling the Ventral and Dorsal Cortical Visual Pathways Using Artificial Neural Networks	18
Synergistic Pathways of Modulation Enable Robust Task Packing Within Neural Dynamics	18
Adaptive Filter Model of Cerebellum for Biological Muscle Control With Spike Train Inputs	17
Extended Poisson Gaussian-Process Latent Variable Model for Unsupervised Neural Decoding	16
Learning Fixed Points of Recurrent Neural Networks by Reparameterizing the Network Model	15
CA3 Circuit Model Compressing Sequential Information in Theta Oscillation and Replay	15
Toward Generalized Entropic Sparsification for Convolutional Neural Networks	15
Estimating Phase From Observed Trajectories Using the Temporal 1-Form	14
Active Learning for Discrete Latent Variable Models	14
On the Search for Data-Driven and Reproducible Schizophrenia Subtypes Using Resting State fMRI Data From Multiple Sites	14
Reduced-Dimension, Biophysical Neuron Models Constructed From Observed Data	13

UAdam: Unified Adam-Type Algorithmic Framework for Nonconvex Optimization	13
Understanding Dynamics of Nonlinear Representation Learning and Its Application	13
Advantages of Persistent Cohomology in Estimating Animal Location From Grid Cell Population Activity	13
Learning Only on Boundaries: A Physics-Informed Neural Operator for Solving Parametric Partial Differential Equations in Complex Geometries	13
Quantifying and Maximizing the Information Flux in Recurrent Neural Networks	12
Decoding Pixel-Level Image Features From Two-Photon Calcium Signals of Macaque Visual Cortex	11
Encoding of Numerosity With Robustness to Object and Scene Identity in Biologically Inspired Object Recognition Networks	11
Generalization Guarantees of Gradient Descent for Shallow Neural Networks	11
Deconstructing Deep Active Inference: A Contrarian Information Gatherer	10
Maximal Memory Capacity Near the Edge of Chaos in Balanced Cortical E-I Networks	10
Multimodal and Multifactor Branching Time Active Inference	10
Differential Geometry Methods for Constructing Manifold-Targeted Recurrent Neural Networks	9
Attention in a Family of Boltzmann Machines Emerging From Modern Hopfield Networks	9
Neuromorphic Engineering: In Memory of Misha Mahowald	9
Decision Threshold Learning in the Basal Ganglia for Multiple Alternatives	9
Learning in Associative Networks Through Pavlovian Dynamics	8
Deep Nonnegative Matrix Factorization With Beta Divergences	8
Bioplausible Unsupervised Delay Learning for Extracting Spatiotemporal Features in Spiking Neural Networks	8
The Limiting Dynamics of SGD: Modified Loss, Phase-Space Oscillations, and Anomalous Diffusion	8
Toward Network Intelligence	7
Computation With Sequences of Assemblies in a Model of the Brain	7
Desiderata for Normative Models of Synaptic Plasticity	7
Using Global t-SNE to Preserve Intercluster Data Structure	7
Prototype Analysis in Hopfield Networks With Hebbian Learning	7
eSPA+: Scalable Entropy-Optimal Machine Learning Classification for Small Data Problems	7
Model Based or Model Free? Comparing Adaptive Methods for Estimating Thresholds in Neuroscience	7
Electrical Signaling Beyond Neurons	7
Probing the Structure and Functional Properties of the Dropout-Induced Correlated Variability in Convolutional Neural Networks	7
Hypothesis Test and Confidence Analysis With Wasserstein Distance on General Dimension	7
Implicit Contact Dynamics Modeling With Explicit Inertia Matrix Representation for Real-Time, Model-Based Control in Physical Environment	7
How Does the Inner Retinal Network Shape the Ganglion Cells Receptive Field? A Computational Study	7
A Mean Field to Capture Asynchronous Irregular Dynamics of Conductance-Based Networks of Adaptive Quadratic Integrate-and-Fire Neuron Models	7
Semisupervised Ordinal Regression Based on Empirical Risk Minimization	6
Positive Competitive Networks for Sparse Reconstruction	6
Active Inference and Intentional Behavior	6
Sequential Learning in the Dense Associative Memory	6
Is Learning in Biological Neural Networks Based on Stochastic Gradient Descent? An Analysis Using Stochastic Processes	6
A Normative Account of Confirmation Bias During Reinforcement Learning	6
Bayesian Quadrature Optimization for Probability Threshold Robustness Measure	6
Disentangled Representation Learning and Generation With Manifold Optimization	6
Generalization Analysis of Transformers in Distribution Regression	6
Memoryless Optimality: Neurons Do Not Need Adaptation to Optimally Encode Stimuli With Arbitrarily Complex Statistics	6
Mechanism of Duration Perception in Artificial Brains Suggests New Model of Attentional Entrainment	6
Astrocytes Learn to Detect and Signal Deviations From Critical Brain Dynamics	6
Working Memory and Self-Directed Inner Speech Enhance Multitask Generalization in Active Inference	6
Visuomotor Mismatch Responses as a Hallmark of Explaining Away in Causal Inference	6
Neural Circuits for Dynamics-Based Segmentation of Time Series	6
Promoting the Shift From Pixel-Level Correlations to Object Semantics Learning by Rethinking Computer Vision Benchmark Data Sets	5
Simple Convolutional-Based Models: Are They Learning the Task or the Data?	5
Distributed Phase Oscillatory Excitation Efficiently Produces Attractors Using Spike-Timing-Dependent Plasticity	5

Fast Multigroup Gaussian Process Factor Models	5
Toward a Biomimetic Neural Circuit Model of Sensory-Motor Processing	5
Strong Allee Effect Synaptic Plasticity Rule in an Unsupervised Learning Environment	5
Spiking Neuron-Astrocyte Networks for Image Recognition	5
Reducing Catastrophic Forgetting With Associative Learning: A Lesson From Fruit Flies	5
Cooperativity, Information Gain, and Energy Cost During Early LTP in Dendritic Spines	4
Understanding Memories of the Past in the Context of Different Complex Neural Network Architectures	4
Distributed Synaptic Connection Strength Changes Dynamics in a Population Firing Rate Model in Response to Continuous External Stimuli	4
Uncovering Dynamical Equations of Stochastic Decision Models Using Data-Driven SINDy Algorithm	4
Learning the Synaptic and Intrinsic Membrane Dynamics Underlying Working Memory in Spiking Neural Network Models	4
A Generalized Time Rescaling Theorem for Temporal Point Processes	4
Predictive Coding as a Neuromorphic Alternative to Backpropagation: A Critical Evaluation	4
Linear Codes for Hyperdimensional Computing	4
Boosting MCTS With Free Energy Minimization	4
Gauge-Optimal Approximate Learning for Small Data Classification	4
A Survey on Artificial Neural Networks in Human—Robot Interaction	4
An Overview of the Free Energy Principle and Related Research	4
Learning in Wilson-Cowan Model for Metapopulation	4
Synaptic Information Storage Capacity Measured With Information Theory	4
Role of Interaction Delays in the Synchronization of Inhibitory Networks	4
Toward a Free-Response Paradigm of Decision Making in Spiking Neural Networks	4
Excitation–Inhibition Balance Controls Synchronization in a Simple Model of Coupled Phase Oscillators	3
A Correspondence Between Normalization Strategies in Artificial and Biological Neural Networks	3
Vector Symbolic Finite State Machines in Attractor Neural Networks	3
Automatic Hyperparameter Tuning in Sparse Matrix Factorization	3
Generalization Analysis of Pairwise Learning for Ranking With Deep Neural Networks	3
Posterior Covariance Information Criterion for Weighted Inference	3
Capacity Limitations of Visual Search in Deep Convolutional Neural Networks	3
Trainable Reference Spikes Improve Temporal Information Processing of SNNs With Supervised Learning	3
Emergence of Universal Computations Through Neural Manifold Dynamics	3
A Predictive Processing Model of Episodic Memory and Time Perception	3
On the Compressive Power of Autoencoders With Linear and ReLU Activation Functions	3
Beyond Backpropagation: Bilevel Optimization Through Implicit Differentiation and Equilibrium Propagation	3
Context-Sensitive Processing in a Model Neocortical Pyramidal Cell With Two Sites of Input Integration	3
Column Row Convolutional Neural Network: Reducing Parameters for Efficient Image Processing	3
Cocaine Use Prediction With Tensor-Based Machine Learning on Multimodal MRI Connectome Data	3
Selective Inference for Change Point Detection by Recurrent Neural Network	3
Neural Information Processing and Computations of Two-Input Synapses	3
Macroscopic Gamma Oscillation With Bursting Neuron Model Under Stochastic Fluctuation	3
Evidence for Multiscale Multiplexed Representation of Visual Features in EEG	3
Firing Rate Models as Associative Memory: Synaptic Design for Robust Retrieval	3
Sensitivity to Control Signals in Triphasic Rhythmic Neural Systems: A Comparative Mechanistic Analysis via Infinitesimal Local Timing Response Curves	2
Gaussian Process Koopman Mode Decomposition	2
Modeling the Role of Contour Integration in Visual Inference	2
Transformer Models for Signal Processing: Scaled Dot-Product Attention Implements Constrained Filtering	2
Latent Space Bayesian Optimization With Latent Data Augmentation for Enhanced Exploration	2
Learning Internal Representations of 3D Transformations From 2D Projected Inputs	2
Categorical Perception: A Groundwork for Deep Learning	2
Full-Span Log-Linear Model and Fast Learning Algorithm	2
Mirror Descent of Hopfield Model	2
Lateral Connections Improve Generalizability of Learning in a Simple Neural Network	2
Multistream-Based Marked Point Process With Decomposed Cumulative Hazard Functions	2
Formal Verification of Deep Brain Stimulation Controllers for Parkinson's Disease Treatment	2
A Neural Model for Insect Steering Applied to Olfaction and Path Integration	2
Relating Human Error–Based Learning to Modern Deep RL Algorithms	2
Sparse-Coding Variational Autoencoders	2
Human Eyes–Inspired Recurrent Neural Networks Are More Robust Against Adversarial Noises	2
Predictive Coding, Variational Autoencoders, and Biological Connections	2
Measuring Stimulus Information Transfer Between Neural Populations Through the Communication Subspace	2
Distance-Based Logistic Matrix Factorization	2
Efficient Decoding of Compositional Structure in Holistic Representations	2
Bayesian Brains and the Rényi Divergence	2
Knowledge as a Breaking of Ergodicity	2
Intrinsic Rewards for Exploration Without Harm From Observational Noise: A Simulation Study Based on the Free Energy Principle	2
Recurrent Neural-Linear Posterior Sampling for Nonstationary Contextual Bandits	2
A Categorical Framework for Quantifying Emergent Effects in Network Topology	2
Adding Space to Random Networks of Spiking Neurons: A Method Based on Scaling the Network Size	2
Manifold Gaussian Variational Bayes on the Precision Matrix	2
Winning the Lottery With Neural Connectivity Constraints: Faster Learning Across Cognitive Tasks With Spatially Constrained Sparse RNNs	2
A Generalized Framework of Multifidelity Max-Value Entropy Search Through Joint Entropy	2
Predictive Coding Model Detects Novelty on Different Levels of Representation Hierarchy	2
Nearly Optimal Learning Using Sparse Deep ReLU Networks in Regularized Empirical Risk Minimization With Lipschitz Loss	2
Predictive Coding Approximates Backprop Along Arbitrary Computation Graphs	2
Learning and Inference in Sparse Coding Models With Langevin Dynamics	2
Body Mechanics, Optimality, and Sensory Feedback in the Human Control of Complex Objects	2
Rapid Reweighting of Sensory Inputs and Predictions in Visual Perception	2
Learning With Proper Partial Labels	2
A Fast Algorithm for the Real-Valued Combinatorial Pure Exploration of the Multi-Armed Bandit	2
Heterogeneity in Neuronal Dynamics Is Learned by Gradient Descent for Temporal Processing Tasks	2
Inferring Mechanisms of Auditory Attentional Modulation with Deep Neural Networks	2

Active Role of Self-Sustained Neural Activity on Sensory Input Processing: A Minimal Theoretical Model	2
The Leaky Integrate-and-Fire Neuron Is a Change-Point Detector for Compound Poisson Processes	2
Multilevel Data Representation for Training Deep Helmholtz Machines	2
Errata to “A Tutorial on the Spectral Theory of Markov Chains” by Eddie Seabrook and Laurenz Wiskott (Neural Computation, November 2023, Vol. 35, No. 11, pp. 1713–1796, https://doi.org/10.1162/	2
Nonconvex Sparse Regularization for Deep Neural Networks and Its Optimality	2
Large Language Models and the Reverse Turing Test	2
Fixed-Time Stable Neurodynamic Flow to Sparse Signal Recovery via Nonconvex L1-β2-Norm	2
An FPGA Accelerator for High-Speed Moving Objects Detection and Tracking With a Spike Camera	2