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	92
Sensitivity of Sparse Codes to Image Distortions	57
Optimizing Attention and Cognitive Control Costs Using Temporally Layered Architectures	55
Mean-Field Approximations With Adaptive Coupling for Networks With Spike-Timing-Dependent Plasticity	34
On Suspicious Coincidences and Pointwise Mutual Information	30
Bounded Rational Decision Networks With Belief Propagation	30
Generalized Low-Rank Update: Model Parameter Bounds for Low-Rank Training Data Modifications	25
Self-Organization of Nonlinearly Coupled Neural Fluctuations Into Synergistic Population Codes	22
Permitted Sets and Convex Coding in Nonthreshold Linear Networks	21
Understanding the Computational Demands Underlying Visual Reasoning	20
Top-Down Priors Disambiguate Target and Distractor Features in Simulated Covert Visual Search	19
A Model of Semantic Completion in Generative Episodic Memory	18
Bridging the Functional and Wiring Properties of V1 Neurons Through Sparse Coding	18
Asymmetric Weights and Retrieval Practice in an Autoassociative Neural Network Model of Paired-Associate Learning	17
Modeling the Ventral and Dorsal Cortical Visual Pathways Using Artificial Neural Networks	17
Synergistic Pathways of Modulation Enable Robust Task Packing Within Neural Dynamics	17
Adaptive Filter Model of Cerebellum for Biological Muscle Control With Spike Train Inputs	16
Extended Poisson Gaussian-Process Latent Variable Model for Unsupervised Neural Decoding	15
Realizing Active Inference in Variational Message Passing: The Outcome-Blind Certainty Seeker	15
Toward Generalized Entropic Sparsification for Convolutional Neural Networks	14
CA3 Circuit Model Compressing Sequential Information in Theta Oscillation and Replay	14
Learning Fixed Points of Recurrent Neural Networks by Reparameterizing the Network Model	13
Advantages of Persistent Cohomology in Estimating Animal Location From Grid Cell Population Activity	13
On the Search for Data-Driven and Reproducible Schizophrenia Subtypes Using Resting State fMRI Data From Multiple Sites	13
Understanding Dynamics of Nonlinear Representation Learning and Its Application	13

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

Distributed Phase Oscillatory Excitation Efficiently Produces Attractors Using Spike-Timing-Dependent Plasticity	5
Linear Codes for Hyperdimensional Computing	5
Simple Convolutional-Based Models: Are They Learning the Task or the Data?	5
Visuomotor Mismatch Responses as a Hallmark of Explaining Away in Causal Inference	5
Strong Allee Effect Synaptic Plasticity Rule in an Unsupervised Learning Environment	5
Fast Multigroup Gaussian Process Factor Models	5
Toward a Free-Response Paradigm of Decision Making in Spiking Neural Networks	5
Distributed Synaptic Connection Strength Changes Dynamics in a Population Firing Rate Model in Response to Continuous External Stimuli	5
Synaptic Information Storage Capacity Measured With Information Theory	4
A Survey on Artificial Neural Networks in Human—Robot Interaction	4
Role of Interaction Delays in the Synchronization of Inhibitory Networks	4
Learning in Wilson-Cowan Model for Metapopulation	4
Reducing Catastrophic Forgetting With Associative Learning: A Lesson From Fruit Flies	4
A Generalized Time Rescaling Theorem for Temporal Point Processes	4
An Overview of the Free Energy Principle and Related Research	4
Learning the Synaptic and Intrinsic Membrane Dynamics Underlying Working Memory in Spiking Neural Network Models	4
Predictive Coding as a Neuromorphic Alternative to Backpropagation: A Critical Evaluation	4
Gauge-Optimal Approximate Learning for Small Data Classification	4
Cooperativity, Information Gain, and Energy Cost During Early LTP in Dendritic Spines	4
Context-Sensitive Processing in a Model Neocortical Pyramidal Cell With Two Sites of Input Integration	3
Firing Rate Models as Associative Memory: Synaptic Design for Robust Retrieval	3
Posterior Covariance Information Criterion for Weighted Inference	3
A Correspondence Between Normalization Strategies in Artificial and Biological Neural Networks	3
Cocaine Use Prediction With Tensor-Based Machine Learning on Multimodal MRI Connectome Data	3
Emergence of Universal Computations Through Neural Manifold Dynamics	3
On the Compressive Power of Autoencoders With Linear and ReLU Activation Functions	3
Excitation–Inhibition Balance Controls Synchronization in a Simple Model of Coupled Phase Oscillators	3
Capacity Limitations of Visual Search in Deep Convolutional Neural Networks	3
Understanding Memories of the Past in the Context of Different Complex Neural Network Architectures	3
Neural Information Processing and Computations of Two-Input Synapses	3
Selective Inference for Change Point Detection by Recurrent Neural Network	3
Vector Symbolic Finite State Machines in Attractor Neural Networks	3
Column Row Convolutional Neural Network: Reducing Parameters for Efficient Image Processing	3
Evidence for Multiscale Multiplexed Representation of Visual Features in EEG	3
Trainable Reference Spikes Improve Temporal Information Processing of SNNs With Supervised Learning	3
Neural Networks with Disabilities: An Introduction to Complementary Artificial Intelligence	3
Macroscopic Gamma Oscillation With Bursting Neuron Model Under Stochastic Fluctuation	3
Beyond Backpropagation: Bilevel Optimization Through Implicit Differentiation and Equilibrium Propagation	3
A Generalized Framework of Multifidelity Max-Value Entropy Search Through Joint Entropy	2
Lateral Connections Improve Generalizability of Learning in a Simple Neural Network	2
Sensitivity to Control Signals in Triphasic Rhythmic Neural Systems: A Comparative Mechanistic Analysis via Infinitesimal Local Timing Response Curves	2
Predictive Coding, Variational Autoencoders, and Biological Connections	2
Adding Space to Random Networks of Spiking Neurons: A Method Based on Scaling the Network Size	2
Intrinsic Rewards for Exploration Without Harm From Observational Noise: A Simulation Study Based on the Free Energy Principle	2
An FPGA Accelerator for High-Speed Moving Objects Detection and Tracking With a Spike Camera	2
Human Eyes–Inspired Recurrent Neural Networks Are More Robust Against Adversarial Noises	2
Multistream-Based Marked Point Process With Decomposed Cumulative Hazard Functions	2
Nearly Optimal Learning Using Sparse Deep ReLU Networks in Regularized Empirical Risk Minimization With Lipschitz Loss	2
A Fast Algorithm for the Real-Valued Combinatorial Pure Exploration of the Multi-Armed Bandit	2
Categorical Perception: A Groundwork for Deep Learning	2
Restricted Boltzmann Machines as Models of Interacting Variables	2
Relating Human Error–Based Learning to Modern Deep RL Algorithms	2
Fixed-Time Stable Neurodynamic Flow to Sparse Signal Recovery via Nonconvex L1-β2-Norm	2
Manifold Gaussian Variational Bayes on the Precision Matrix	2
Recurrent Neural-Linear Posterior Sampling for Nonstationary Contextual Bandits	2
Bayesian Brains and the Rényi Divergence	2
Nonconvex Sparse Regularization for Deep Neural Networks and Its Optimality	2
Inferring Mechanisms of Auditory Attentional Modulation with Deep Neural Networks	2
A Neural Model for Insect Steering Applied to Olfaction and Path Integration	2
Active Role of Self-Sustained Neural Activity on Sensory Input Processing: A Minimal Theoretical Model	2
Generalization Analysis of Pairwise Learning for Ranking With Deep Neural Networks	2
Mirror Descent of Hopfield Model	2
Large Language Models and the Reverse Turing Test	2
Formal Verification of Deep Brain Stimulation Controllers for Parkinson's Disease Treatment	2
Gaussian Process Koopman Mode Decomposition	2
Full-Span Log-Linear Model and Fast Learning Algorithm	2
Sparse-Coding Variational Autoencoders	2
Predictive Coding Approximates Backprop Along Arbitrary Computation Graphs	2
Learning With Proper Partial Labels	2
Learning Internal Representations of 3D Transformations From 2D Projected Inputs	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
Predictive Coding Model Detects Novelty on Different Levels of Representation Hierarchy	2
Automatic Hyperparameter Tuning in Sparse Matrix Factorization	2
A Predictive Processing Model of Episodic Memory and Time Perception	2
Winning the Lottery With Neural Connectivity Constraints: Faster Learning Across Cognitive Tasks With Spatially Constrained Sparse RNNs	2
A Categorical Framework for Quantifying Emergent Effects in Network Topology	2
The Leaky Integrate-and-Fire Neuron Is a Change-Point Detector for Compound Poisson Processes	2
On PDE Characterization of Smooth Hierarchical Functions Computed by Neural Networks	1
Unsupervised Domain Adaptation for Extra Features in the Target Domain Using Optimal Transport	1

Body Mechanics, Optimality, and Sensory Feedback in the Human Control of Complex Objects	1
Dynamic Consolidation for Continual Learning	1
Modeling the Role of Contour Integration in Visual Inference	1
Knowledge as a Breaking of Ergodicity	1
Bridging the Gap Between Neurons and Cognition Through Assemblies of Neurons	1
Replay as a Basis for Backpropagation Through Time in the Brain	1
On an Interpretation of ResNets via Gate-Network Control	1
Neural Code Translation With LIF Neuron Microcircuits	1
Integration of Leaky-Integrate-and-Fire Neurons in Standard Machine Learning Architectures to Generate Hybrid Networks: A Surrogate Gradient Approach	1
Diversity Deconstrains Component Limitations in Sensorimotor Control	1
Feelings Are the Source of Consciousness	1
Research on Imbalanced Data Classification Based on Classroom-Like Generative Adversarial Networks	1
Feature Normalization Prevents Collapse of Noncontrastive Learning Dynamics	1
Recurrent Connections in the Primate Ventral Visual Stream Mediate a Trade-Off Between Task Performance and Network Size During Core Object Recognition	1
Instance-Specific Model Perturbation Improves Generalized Zero-Shot Learning	1
Rapid Reweighting of Sensory Inputs and Predictions in Visual Perception	1
Traveling Waves in Quasi-One-Dimensional Neuronal Minicolumns	1
Latent Space Bayesian Optimization With Latent Data Augmentation for Enhanced Exploration	1
Dynamics and Bifurcation Structure of a Mean-Field Model of Adaptive Exponential Integrate-and-Fire Networks	1
Bayesian Optimization for Cascade-Type Multistage Processes	1
Gradual Domain Adaptation via Normalizing Flows	1
Low-Rank, High-Order Tensor Completion via t- Product-Induced Tucker (tTucker) Decomposition	1
Efficient Decoding of Large-Scale Neural Population Responses With Gaussian-Process Multiclass Regression	1
Efficient Hyperdimensional Computing With Spiking Phasors	1
ℓ 1 -Regularized ICA: A Novel Method for Analysis of Task-Related fMRI Data	1
A Noise-Based Novel Strategy for Faster SNN Training	1
Inference of Multiplicative Factors Underlying Neural Variability in Calcium Imaging Data	1
Trade-Offs Between Energy and Depth of Neural Networks	1
Identifying and Localizing Multiple Objects Using Artificial Ventral and Dorsal Cortical Visual Pathways	1
Bayesian Integration in a Spiking Neural System for Sensorimotor Control	1
Distance-Based Logistic Matrix Factorization	1
Heuristic Tree-Partition-Based Parallel Method for Biophysically Detailed Neuron Simulation	1
Efficient Decoding of Compositional Structure in Holistic Representations	1
TruthSift: A Platform for Collective Rationality	1
Heterogeneity in Neuronal Dynamics Is Learned by Gradient Descent for Temporal Processing Tasks	1
Learning and Inference in Sparse Coding Models With Langevin Dynamics	1
Transformer Models for Signal Processing: Scaled Dot-Product Attention Implements Constrained Filtering	1
KLIF: An Optimized Spiking Neuron Unit for Tuning Surrogate Gradient Function	1
On the Explainability of Graph Convolutional Network With GCN Tangent Kernel	1
Dynamic Modeling of Spike Count Data With Conway-Maxwell Poisson Variability	1
Measuring Stimulus Information Transfer Between Neural Populations Through the Communication Subspace	1
Training Deep Convolutional Spiking Neural Networks With Spike Probabilistic Global Pooling	1
Energy Complexity of Convolutional Neural Networks	1
Echo-Enhanced Embodied Visual Navigation	1
Computing With Residue Numbers in High-Dimensional Representation	1
Scalability of Large Neural Network Simulations via Activity Tracking With Time Asynchrony and Procedural Connectivity	1
Large-Scale Algorithmic Search Identifies Stiff and Sloppy Dimensions in Synaptic Architectures Consistent With Murine Neocortical Wiring	1
Toward a Brain-Inspired Developmental Neural Network Based on Dendritic Spine Dynamics	1