Neural Computation

Article	Citations
Dynamic Modeling of Spike Count Data With Conway-Maxwell Poisson Variability	94
Lateral Connections Improve Generalizability of Learning in a Simple Neural Network	73
Do Neural Networks for Segmentation Understand Insideness?	49
Conductance-Based Phenomenological Nonspiking Model: A Dimensionless and Simple Model That Reliably Predicts the Effects of Conductance Variations on Nonspiking Neuronal Dynamics	48
Gaussian Process Koopman Mode Decomposition	43
Categorical Perception: A Groundwork for Deep Learning	38
Toward a Biomimetic Neural Circuit Model of Sensory-Motor Processing	36
Formal Verification of Deep Brain Stimulation Controllers for Parkinson's Disease Treatment	31
NetPyNE Implementation and Scaling of the Potjans-Diesmann Cortical Microcircuit Model	30
Attention in a Family of Boltzmann Machines Emerging From Modern Hopfield Networks	27
Information Geometrically Generalized Covariate Shift Adaptation	25
Linear Codes for Hyperdimensional Computing	21
Sensitivity of Sparse Codes to Image Distortions	20
Few-Shot Learning in Spiking Neural Networks by Multi-Timescale Optimization	20
Training Deep Convolutional Spiking Neural Networks With Spike Probabilistic Global Pooling	20
The Limiting Dynamics of SGD: Modified Loss, Phase-Space Oscillations, and Anomalous Diffusion	19
Multimodal and Multifactor Branching Time Active Inference	18
Synaptic Information Storage Capacity Measured With Information Theory	18
Differential Geometry Methods for Constructing Manifold-Targeted Recurrent Neural Networks	17
Distributed Phase Oscillatory Excitation Efficiently Produces Attractors Using Spike-Timing-Dependent Plasticity	16
On an Interpretation of ResNets via Gate-Network Control	15
Classification of Autism Spectrum Disorder From EEG-Based Functional Brain Connectivity Analysis	14
Deconstructing Deep Active Inference: A Contrarian Information Gatherer	14
On Neural Associative Memory Structures: Storage and Retrieval of Sequences in a Chain of Tournaments	13
Reducing Catastrophic Forgetting With Associative Learning: A Lesson From Fruit Flies	13

Neuromorphic Engineering: In Memory of Misha Mahowald	13
Deep Nonnegative Matrix Factorization With Beta Divergences	12
The Tensor Brain: A Unified Theory of Perception, Memory, and Semantic Decoding	12
A Computational Study on Synaptic Plasticity Regulation and Information Processing in Neuron-Astrocyte Networks	12
Restricted Boltzmann Machines as Models of Interacting Variables	12
On Neural Network Kernels and the Storage Capacity Problem	11
Parameter Estimation in Multiple Dynamic Synaptic Coupling Model Using Bayesian Point Process State-Space Modeling Framework	11
Toward a Free-Response Paradigm of Decision Making in Spiking Neural Networks	11
Replay as a Basis for Backpropagation Through Time in the Brain	11
From Univariate to Multivariate Coupling Between Continuous Signals and Point Processes: A Mathematical Framework	11
A Biologically Plausible Neural Network for Multichannel Canonical Correlation Analysis	10
The Leaky Integrate-and-Fire Neuron Is a Change-Point Detector for Compound Poisson Processes	10
Obtaining Lower Query Complexities Through Lightweight Zeroth-Order Proximal Gradient Algorithms	10
Distributed Synaptic Connection Strength Changes Dynamics in a Population Firing Rate Model in Response to Continuous External Stimuli	10
Efficient Decoding of Large-Scale Neural Population Responses With Gaussian-Process Multiclass Regression	9
Efficient Hyperdimensional Computing With Spiking Phasors	8
A Fast Algorithm for All-Pairs-Shortest-Paths Suitable for Neural Networks	8
A Generalized Framework of Multifidelity Max-Value Entropy Search Through Joint Entropy	8
Nonlinear Decoding of Natural Images From Large-Scale Primate Retinal Ganglion Recordings	8
A Simple Model of Nonspiking Neurons	8
Orthogonal Gated Recurrent Unit With Neumann-Cayley Transformation	8
Manifold Gaussian Variational Bayes on the Precision Matrix	8
Optimizing Attention and Cognitive Control Costs Using Temporally Layered Architectures	8
On Suspicious Coincidences and Pointwise Mutual Information	8
Online Mental Fatigue Monitoring via Indirect Brain Dynamics Evaluation	7
A Dynamic Neural Field Model of Multimodal Merging: Application to the Ventriloquist Effect	7
Bounded Rational Decision Networks With Belief Propagation	7
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/	6
Approximating Nonlinear Functions With Latent Boundaries in Low-Rank Excitatory-Inhibitory Spiking Networks	6
Large Language Models and the Reverse Turing Test	6
Learning the Synaptic and Intrinsic Membrane Dynamics Underlying Working Memory in Spiking Neural Network Models	6
Recurrent Connections in the Primate Ventral Visual Stream Mediate a Trade-Off Between Task Performance and Network Size During Core Object Recognition	6
Artificial Neural Variability for Deep Learning: On Overfitting, Noise Memorization, and Catastrophic Forgetting	6
Probing the Relationship Between Latent Linear Dynamical Systems and Low-Rank Recurrent Neural Network Models	6
Toward a Kernel-Based Uncertainty Decomposition Framework for Data and Models	6
On PDE Characterization of Smooth Hierarchical Functions Computed by Neural Networks	6
On the Explainability of Graph Convolutional Network With GCN Tangent Kernel	6
Relating Human Error–Based Learning to Modern Deep RL Algorithms	6
Uncovering Dynamical Equations of Stochastic Decision Models Using Data-Driven SINDy Algorithm	6
From Pavlov Conditioning to Hebb Learning	6
Mean-Field Approximations With Adaptive Coupling for Networks With Spike-Timing-Dependent Plasticity	6
Self-Organization of Nonlinearly Coupled Neural Fluctuations Into Synergistic Population Codes	6
A Neurodynamic Model of Saliency Prediction in V1	5
Fine Granularity Is Critical for Intelligent Neural Network Pruning	5
Unsupervised Learning of Temporal Abstractions With Slot-Based Transformers	5
Cooperativity, Information Gain, and Energy Cost During Early LTP in Dendritic Spines	5
An Overview of the Free Energy Principle and Related Research	5
A Mean Field to Capture Asynchronous Irregular Dynamics of Conductance-Based Networks of Adaptive Quadratic Integrate-and-Fire Neuron Models	5
Learning in Wilson-Cowan Model for Metapopulation	5
Spiking Neural Network Pressure Sensor	5

A Generalized Time Rescaling Theorem for Temporal Point Processes	4
Model Based or Model Free? Comparing Adaptive Methods for Estimating Thresholds in Neuroscience	4
Permitted Sets and Convex Coding in Nonthreshold Linear Networks	4
Generalized Low-Rank Update: Model Parameter Bounds for Low-Rank Training Data Modifications	4
Mathematical Modeling of PI3K/Akt Pathway in Microglia	4
Modeling the Role of Contour Integration in Visual Inference	4
Enhanced EEG Forecasting: A Probabilistic Deep Learning Approach	4
Principal Component Analysis for Gaussian Process Posteriors	4
Single Circuit in V1 Capable of Switching Contexts During Movement Using an Inhibitory Population as a Switch	4
Body Mechanics, Optimality, and Sensory Feedback in the Human Control of Complex Objects	4
Direction Matters: On Influence-Preserving Graph Summarization and Max-Cut Principle for Directed Graphs	4
A Double-Layer Multi-Resolution Classification Model for Decoding Spatiotemporal Patterns of Spikes With Small Sample Size	4
Lifelong Classification in Open World With Limited Storage Requirements	4
Progressive Interpretation Synthesis: Interpreting Task Solving by Quantifying Previously Used and Unused Information	4
Realizing Synthetic Active Inference Agents, Part II: Variational Message Updates	4
A General, Noise-Driven Mechanism for the 1/f-Like Behavior of Neural Field Spectra	3
Gauge-Optimal Approximate Learning for Small Data Classification	3
Learning in Associative Networks Through Pavlovian Dynamics	3
Modern Artificial Neural Networks: Is Evolution Cleverer?	3
Knowledge as a Breaking of Ergodicity	3
Heterogeneity in Neuronal Dynamics Is Learned by Gradient Descent for Temporal Processing Tasks	3
Gradual Domain Adaptation via Normalizing Flows	3
Learning and Inference in Sparse Coding Models With Langevin Dynamics	3
Critical Point-Finding Methods Reveal Gradient-Flat Regions of Deep Network Losses	3
Role of Interaction Delays in the Synchronization of Inhibitory Networks	3
Electrical Signaling Beyond Neurons	3
Direct Discriminative Decoder Models for Analysis of High-Dimensional Dynamical Neural Data	3
Hypothesis Test and Confidence Analysis With Wasserstein Distance on General Dimension	3
Top-Down Priors Disambiguate Target and Distractor Features in Simulated Covert Visual Search	3
Bioplausible Unsupervised Delay Learning for Extracting Spatiotemporal Features in Spiking Neural Networks	3
Using Global t-SNE to Preserve Intercluster Data Structure	3
Elucidating the Theoretical Underpinnings of Surrogate Gradient Learning in Spiking Neural Networks	3
Active Inference and Reinforcement Learning: A Unified Inference on Continuous State and Action Spaces Under Partial Observability	3
A Model of Semantic Completion in Generative Episodic Memory	3
Erratum to “A Mean-Field Description of Bursting Dynamics in Spiking Neural Networks with Short-Term Adaptation” by Richard Gast, Helmut Schmidt, and Thomas R.	3
Object-Centric Scene Representations Using Active Inference	3
Predictive Coding as a Neuromorphic Alternative to Backpropagation: A Critical Evaluation	3
Latent Space Bayesian Optimization With Latent Data Augmentation for Enhanced Exploration	3
Understanding the Computational Demands Underlying Visual Reasoning	2
Statistical Properties of Color Matching Functions	2
Identifying and Localizing Multiple Objects Using Artificial Ventral and Dorsal Cortical Visual Pathways	2
Predicting the Future With a Scale-Invariant Temporal Memory for the Past	2
Data Efficiency, Dimensionality Reduction, and the Generalized Symmetric Information Bottleneck	2
Evidence for Multiscale Multiplexed Representation of Visual Features in EEG	2
A Correspondence Between Normalization Strategies in Artificial and Biological Neural Networks	2
Frequency Selectivity of Neural Circuits With Heterogeneous Discrete Transmission Delays	2
Prototype Analysis in Hopfield Networks With Hebbian Learning	2
Understanding Memories of the Past in the Context of Different Complex Neural Network Architectures	2
X-DC: Explainable Deep Clustering Based on Learnable Spectrogram Templates	2
Bridging the Functional and Wiring Properties of V1 Neurons Through Sparse Coding	2
Efficient Decoding of Compositional Structure in Holistic Representations	2
Grid Cell Percolation	2
Parameter Identification Problem in the Hodgkin-Huxley Model	2
Task-Agnostic Continual Learning Using Online Variational Bayes with Fixed-Point Updates	2
Might a Single Neuron Solve Interesting Machine Learning Problems Through Successive Computations on Its Dendritic Tree?	2
Research on Imbalanced Data Classification Based on Classroom-Like Generative Adversarial Networks	2
Learning Brain Dynamics With Coupled Low-Dimensional Nonlinear Oscillators and Deep Recurrent Networks	2
Exploring Trade-Offs in Spiking Neural Networks	2
Optimal Quadratic Binding for Relational Reasoning in Vector Symbolic Neural Architectures	2
Beyond Backpropagation: Bilevel Optimization Through Implicit Differentiation and Equilibrium Propagation	2
Desiderata for Normative Models of Synaptic Plasticity	2
Toward Network Intelligence	2
Inference on the Macroscopic Dynamics of Spiking Neurons	2
Dynamic Spatiotemporal Pattern Recognition with Recurrent Spiking Neural Network	2
Asymptotic Input-Output Relationship Predicts Electric Field Effect on Sublinear Dendritic Integration of AMPA Synapses	2
Probing the Structure and Functional Properties of the Dropout-Induced Correlated Variability in Convolutional Neural Networks	2
Composite Optimization Algorithms for Sigmoid Networks	2
Inference of Multiplicative Factors Underlying Neural Variability in Calcium Imaging Data	2
Predictive Representations: Building Blocks of Intelligence	2
Asymmetric Weights and Retrieval Practice in an Autoassociative Neural Network Model of Paired-Associate Learning	2
Capacity Limitations of Visual Search in Deep Convolutional Neural Networks	2
Feelings Are the Source of Consciousness	1
Transfer Learning With Singular Value Decomposition of Multichannel Convolution Matrices	1
Emergence of Universal Computations Through Neural Manifold Dynamics	1
Dense Sample Deep Learning	1
The Determining Role of Covariances in Large Networks of Stochastic Neurons	1
Hierarchical Dynamical Model for Multiple Cortical Neural Decoding	1
Implicit Contact Dynamics Modeling With Explicit Inertia Matrix Representation for Real-Time, Model-Based Control in Physical Environment	1
Computing With Residue Numbers in High-Dimensional Representation	1
Posterior Covariance Information Criterion for Weighted Inference	1

Neural Networks with Disabilities: An Introduction to Complementary Artificial Intelligence	1
Frequency Propagation: Multimechanism Learning in Nonlinear Physical Networks	1
A Multimodal Fitting Approach to Construct Single-Neuron Models With Patch Clamp and High-Density Microelectrode Arrays	1
Asymmetric Complexity in a Pupil Control Model With Laterally Imbalanced Neural Activity in the Locus Coeruleus: A Potential Biomarker for Attention-Deficit/Hyperactivity Disorder	1
Replay in Deep Learning: Current Approaches and Missing Biological Elements	1
Spontaneous Emergence of Robustness to Light Variation in CNNs With a Precortically Inspired Module	1
Context-Sensitive Processing in a Model Neocortical Pyramidal Cell With Two Sites of Input Integration	1
On the Achievability of Blind Source Separation for High-Dimensional Nonlinear Source Mixtures	1
Associative Learning and Active Inference	1
Training a Hyperdimensional Computing Classifier Using a Threshold on Its Confidence	1
Vector Symbolic Finite State Machines in Attractor Neural Networks	1
Macroscopic Gamma Oscillation With Bursting Neuron Model Under Stochastic Fluctuation	1
The Effect of Class Imbalance on Precision-Recall Curves	1
Extended Poisson Gaussian-Process Latent Variable Model for Unsupervised Neural Decoding	1
Spatial Attention Enhances Crowded Stimulus Encoding Across Modeled Receptive Fields by Increasing Redundancy of Feature Representations	1
Pulse Shape and Voltage-Dependent Synchronization in Spiking Neuron Networks	1
Adaptive Learning Neural Network Method for Solving Time–Fractional Diffusion Equations	1
Temporal Variabilities Provide Additional Category-Related Information in Object Category Decoding: A Systematic Comparison of Informative EEG Features	1
The Perils of Being Unhinged: On the Accuracy of Classifiers Minimizing a Noise-Robust Convex Loss	1
Analysis of EEG Data Using Complex Geometric Structurization	1
Large-Scale Algorithmic Search Identifies Stiff and Sloppy Dimensions in Synaptic Architectures Consistent With Murine Neocortical Wiring	1
Multilinear Common Component Analysis via Kronecker Product Representation	1
TARA: Training and Representation Alteration for AI Fairness and Domain Generalization	1
Active Classification With Uncertainty Comparison Queries	1
Bayesian Optimization for Cascade-Type Multistage Processes	1
Computation With Sequences of Assemblies in a Model of the Brain	1
Completion of the Infeasible Actions of Others: Goal Inference by Dynamical Invariant	1
Reinforcement Learning in Sparse-Reward Environments With Hindsight Policy Gradients	1
Positive Competitive Networks for Sparse Reconstruction	1
Trainable Reference Spikes Improve Temporal Information Processing of SNNs With Supervised Learning	1
Invariance, Encodings, and Generalization: Learning Identity Effects With Neural Networks	1
Energy Complexity of Convolutional Neural Networks	1
Disentangled Representation Learning and Generation With Manifold Optimization	1
A Tutorial on the Spectral Theory of Markov Chains	1
Neural Information Processing and Computations of Two-Input Synapses	1
Detecting Scene-Plausible Perceptible Backdoors in Trained DNNs Without Access to the Training Set	1
Selective Inference for Change Point Detection by Recurrent Neural Network	1
Modeling the Ventral and Dorsal Cortical Visual Pathways Using Artificial Neural Networks	1
Inference and Learning for Generative Capsule Models	1
A Normative Account of Confirmation Bias During Reinforcement Learning	1
Column Row Convolutional Neural Network: Reducing Parameters for Efficient Image Processing	1
Scalable Variational Inference for Low-Rank Spatiotemporal Receptive Fields	1
How Does the Inner Retinal Network Shape the Ganglion Cells Receptive Field? A Computational Study	1
Optimization and Learning With Randomly Compressed Gradient Updates	1
Bridging the Gap Between Neurons and Cognition Through Assemblies of Neurons	1
eSPA+: Scalable Entropy-Optimal Machine Learning Classification for Small Data Problems	1
Bayesian Quadrature Optimization for Probability Threshold Robustness Measure	1
How to Represent Part-Whole Hierarchies in a Neural Network	1
Semisupervised Ordinal Regression Based on Empirical Risk Minimization	1
Noise Robust Projection Rule for Klein Hopfield Neural Networks	1