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	100
Sensitivity of Sparse Codes to Image Distortions	79
Optimizing Attention and Cognitive Control Costs Using Temporally Layered Architectures	54
Mean-Field Approximations With Adaptive Coupling for Networks With Spike-Timing-Dependent Plasticity	50
Bounded Rational Decision Networks With Belief Propagation	39
A Computational Study on Synaptic Plasticity Regulation and Information Processing in Neuron-Astrocyte Networks	38
On Suspicious Coincidences and Pointwise Mutual Information	33
Generalized Low-Rank Update: Model Parameter Bounds for Low-Rank Training Data Modifications	27
Self-Organization of Nonlinearly Coupled Neural Fluctuations Into Synergistic Population Codes	27
Top-Down Priors Disambiguate Target and Distractor Features in Simulated Covert Visual Search	26
Permitted Sets and Convex Coding in Nonthreshold Linear Networks	26
Understanding the Computational Demands Underlying Visual Reasoning	24
A Model of Semantic Completion in Generative Episodic Memory	20
Bridging the Functional and Wiring Properties of V1 Neurons Through Sparse Coding	19
Learning Brain Dynamics With Coupled Low-Dimensional Nonlinear Oscillators and Deep Recurrent Networks	18
Modeling the Ventral and Dorsal Cortical Visual Pathways Using Artificial Neural Networks	18
Asymmetric Weights and Retrieval Practice in an Autoassociative Neural Network Model of Paired-Associate Learning	17
Adaptive Filter Model of Cerebellum for Biological Muscle Control With Spike Train Inputs	16
Task-Agnostic Continual Learning Using Online Variational Bayes with Fixed-Point Updates	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
Advantages of Persistent Cohomology in Estimating Animal Location From Grid Cell Population Activity	14
Understanding Dynamics of Nonlinear Representation Learning and Its Application	14
Least kth-Order and Rényi Generative Adversarial Networks	14
CA3 Circuit Model Compressing Sequential Information in Theta Oscillation and Replay	14

Reduced-Dimension, Biophysical Neuron Models Constructed From Observed Data	13
Learning Fixed Points of Recurrent Neural Networks by Reparameterizing the Network Model	13
Expansion of Information in the Binary Autoencoder with Random Binary Weights	13
On the Search for Data-Driven and Reproducible Schizophrenia Subtypes Using Resting State fMRI Data From Multiple Sites	12
Learning Only on Boundaries: A Physics-Informed Neural Operator for Solving Parametric Partial Differential Equations in Complex Geometries	12
UAdam: Unified Adam-Type Algorithmic Framework for Nonconvex Optimization	12
Active Learning for Discrete Latent Variable Models	12
Quantifying and Maximizing the Information Flux in Recurrent Neural Networks	11
Attention in a Family of Boltzmann Machines Emerging From Modern Hopfield Networks	11
Maximal Memory Capacity Near the Edge of Chaos in Balanced Cortical E-I Networks	11
Generalization Guarantees of Gradient Descent for Shallow Neural Networks	11
Decoding Pixel-Level Image Features From Two-Photon Calcium Signals of Macaque Visual Cortex	11
Deconstructing Deep Active Inference: A Contrarian Information Gatherer	10
Deep Nonnegative Matrix Factorization With Beta Divergences	10
Neuromorphic Engineering: In Memory of Misha Mahowald	9
Nonlinear Decoding of Natural Images From Large-Scale Primate Retinal Ganglion Recordings	9
The Limiting Dynamics of SGD: Modified Loss, Phase-Space Oscillations, and Anomalous Diffusion	9
Multimodal and Multifactor Branching Time Active Inference	9
Decision Threshold Learning in the Basal Ganglia for Multiple Alternatives	8
Electrical Signaling Beyond Neurons	8
Bioplausible Unsupervised Delay Learning for Extracting Spatiotemporal Features in Spiking Neural Networks	8
Hypothesis Test and Confidence Analysis With Wasserstein Distance on General Dimension	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
Statistical Properties of Color Matching Functions	7
Temporal Variabilities Provide Additional Category-Related Information in Object Category Decoding: A Systematic Comparison of Informative EEG Features	7
Using Global t-SNE to Preserve Intercluster Data Structure	7
Toward Network Intelligence	7
Desiderata for Normative Models of Synaptic Plasticity	7
A Mean Field to Capture Asynchronous Irregular Dynamics of Conductance-Based Networks of Adaptive Quadratic Integrate-and-Fire Neuron Models	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
Mechanism of Duration Perception in Artificial Brains Suggests New Model of Attentional Entrainment	6
How Does the Inner Retinal Network Shape the Ganglion Cells Receptive Field? A Computational Study	6
Astrocytes Learn to Detect and Signal Deviations From Critical Brain Dynamics	6
Randomized Self-Organizing Map	6
Implicit Contact Dynamics Modeling With Explicit Inertia Matrix Representation for Real-Time, Model-Based Control in Physical Environment	6
eSPA+: Scalable Entropy-Optimal Machine Learning Classification for Small Data Problems	6
Disentangled Representation Learning and Generation With Manifold Optimization	6
Positive Competitive Networks for Sparse Reconstruction	6
Computation With Sequences of Assemblies in a Model of the Brain	6
Bayesian Quadrature Optimization for Probability Threshold Robustness Measure	6
A Normative Account of Confirmation Bias During Reinforcement Learning	5
Memoryless Optimality: Neurons Do Not Need Adaptation to Optimally Encode Stimuli With Arbitrarily Complex Statistics	5
Active Inference and Intentional Behavior	5
Is Learning in Biological Neural Networks Based on Stochastic Gradient Descent? An Analysis Using Stochastic Processes	5
Storage Capacity of Quaternion-Valued Hopfield Neural Networks With Dual Connections	5
Neural Circuits for Dynamics-Based Segmentation of Time Series	5
Flexible Transmitter Network	5

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

Mirror Descent of Hopfield Model	2
Recurrent Neural-Linear Posterior Sampling for Nonstationary Contextual Bandits	2
Gaussian Process Koopman Mode Decomposition	2
Categorical Perception: A Groundwork for Deep Learning	2
Relating Human Error–Based Learning to Modern Deep RL Algorithms	2
Knowledge as a Breaking of Ergodicity	1
On PDE Characterization of Smooth Hierarchical Functions Computed by Neural Networks	1
Bayesian Optimization for Cascade-Type Multistage Processes	1
Lifelong Classification in Open World With Limited Storage Requirements	1
On an Interpretation of ResNets via Gate-Network Control	1
Replay as a Basis for Backpropagation Through Time in the Brain	1
Dynamic Consolidation for Continual Learning	1
Computing With Residue Numbers in High-Dimensional Representation	1
A Noise-Based Novel Strategy for Faster SNN Training	1
Echo-Enhanced Embodied Visual Navigation	1
Large-Scale Algorithmic Search Identifies Stiff and Sloppy Dimensions in Synaptic Architectures Consistent With Murine Neocortical Wiring	1
Integration of Leaky-Integrate-and-Fire Neurons in Standard Machine Learning Architectures to Generate Hybrid Networks: A Surrogate Gradient Approach	1
Analysis of EEG Data Using Complex Geometric Structurization	1
Simulating and Predicting Dynamical Systems With Spatial Semantic Pointers	1
Efficient Decoding of Compositional Structure in Holistic Representations	1
Unsupervised Domain Adaptation for Extra Features in the Target Domain Using Optimal Transport	1
Learning and Inference in Sparse Coding Models With Langevin Dynamics	1
Bayesian Integration in a Spiking Neural System for Sensorimotor Control	1
Gradual Domain Adaptation via Normalizing Flows	1
Large Language Models and the Reverse Turing Test	1
Body Mechanics, Optimality, and Sensory Feedback in the Human Control of Complex Objects	1
Feelings Are the Source of Consciousness	1
Efficient Hyperdimensional Computing With Spiking Phasors	1
Dynamics and Bifurcation Structure of a Mean-Field Model of Adaptive Exponential Integrate-and-Fire Networks	1
Do Neural Networks for Segmentation Understand Insideness?	1
Trade-Offs Between Energy and Depth of Neural Networks	1
Research on Imbalanced Data Classification Based on Classroom-Like Generative Adversarial Networks	1
KLIF: An Optimized Spiking Neuron Unit for Tuning Surrogate Gradient Function	1
Dynamic Spatiotemporal Pattern Recognition with Recurrent Spiking Neural Network	1
Neural Code Translation With LIF Neuron Microcircuits	1
Asymptotic Input-Output Relationship Predicts Electric Field Effect on Sublinear Dendritic Integration of AMPA Synapses	1
Traveling Waves in Quasi-One-Dimensional Neuronal Minicolumns	1
Latent Space Bayesian Optimization With Latent Data Augmentation for Enhanced Exploration	1
Toward a Brain-Inspired Developmental Neural Network Based on Dendritic Spine 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
Modeling the Role of Contour Integration in Visual Inference	1
Few-Shot Learning in Spiking Neural Networks by Multi-Timescale Optimization	1
Skip-Connected Self-Recurrent Spiking Neural Networks With Joint Intrinsic Parameter and Synaptic Weight Training	1
A Biologically Plausible Neural Network for Multichannel Canonical Correlation Analysis	1
Artificial Neural Variability for Deep Learning: On Overfitting, Noise Memorization, and Catastrophic Forgetting	1
Energy Complexity of Convolutional Neural Networks	1
Parametric UMAP Embeddings for Representation and Semisupervised Learning	1
Scalability of Large Neural Network Simulations via Activity Tracking With Time Asynchrony and Procedural Connectivity	1
Identifying and Localizing Multiple Objects Using Artificial Ventral and Dorsal Cortical Visual Pathways	1
Instance-Specific Model Perturbation Improves Generalized Zero-Shot Learning	1
ℓ 1 -Regularized ICA: A Novel Method for Analysis of Task-Related fMRI Data	1
TruthSift: A Platform for Collective Rationality	1
Inference of Multiplicative Factors Underlying Neural Variability in Calcium Imaging Data	1
Bridging the Gap Between Neurons and Cognition Through Assemblies of Neurons	1
Heterogeneity in Neuronal Dynamics Is Learned by Gradient Descent for Temporal Processing Tasks	1
Heuristic Tree-Partition-Based Parallel Method for Biophysically Detailed Neuron Simulation	1