OOIR: Observatory of International Research

Papers

(The TQCC of Neural Computation is 4. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-06-01 to 2025-06-01.)

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
Realizing Active Inference in Variational Message Passing: The Outcome-Blind Certainty Seeker	15
Extended Poisson Gaussian-Process Latent Variable Model for Unsupervised Neural Decoding	15
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
Advantages of Persistent Cohomology in Estimating Animal Location From Grid Cell Population Activity	14

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
Reduced-Dimension, Biophysical Neuron Models Constructed From Observed Data	13
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
On the Search for Data-Driven and Reproducible Schizophrenia Subtypes Using Resting State fMRI Data From Multiple Sites	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
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
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
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
Mechanism of Duration Perception in Artificial Brains Suggests New Model of Attentional Entrainment	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
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
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
Linear Codes for Hyperdimensional Computing	4
Distributed Synaptic Connection Strength Changes Dynamics in a Population Firing Rate Model in Response to Continuous External Stimuli	4
Predictive Coding as a Neuromorphic Alternative to Backpropagation: A Critical Evaluation	4