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 2021-05-01 to 2025-05-01.)

Article	Citations
Conductance-Based Phenomenological Nonspiking Model: A Dimensionless and Simple Model That Reliably Predicts the Effects of Conductance Variations on Nonspiking Neuronal Dynamics	97
Sensitivity of Sparse Codes to Image Distortions	76
Optimizing Attention and Cognitive Control Costs Using Temporally Layered Architectures	59
On Suspicious Coincidences and Pointwise Mutual Information	51
Mean-Field Approximations With Adaptive Coupling for Networks With Spike-Timing-Dependent Plasticity	48
Bounded Rational Decision Networks With Belief Propagation	39
A Computational Study on Synaptic Plasticity Regulation and Information Processing in Neuron-Astrocyte Networks	38
Generalized Low-Rank Update: Model Parameter Bounds for Low-Rank Training Data Modifications	32
Self-Organization of Nonlinearly Coupled Neural Fluctuations Into Synergistic Population Codes	27
Understanding the Computational Demands Underlying Visual Reasoning	26
Permitted Sets and Convex Coding in Nonthreshold Linear Networks	25
A Model of Semantic Completion in Generative Episodic Memory	20
Top-Down Priors Disambiguate Target and Distractor Features in Simulated Covert Visual Search	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	19
Asymmetric Weights and Retrieval Practice in an Autoassociative Neural Network Model of Paired-Associate Learning	18
Modeling the Ventral and Dorsal Cortical Visual Pathways Using Artificial Neural Networks	18
Task-Agnostic Continual Learning Using Online Variational Bayes with Fixed-Point Updates	17
Noise Robust Projection Rule for Klein Hopfield Neural Networks	16
Adaptive Filter Model of Cerebellum for Biological Muscle Control With Spike Train Inputs	15
Extended Poisson Gaussian-Process Latent Variable Model for Unsupervised Neural Decoding	15
Understanding Dynamics of Nonlinear Representation Learning and Its Application	14
Active Learning for Discrete Latent Variable Models	14
Realizing Active Inference in Variational Message Passing: The Outcome-Blind Certainty Seeker	14
Advantages of Persistent Cohomology in Estimating Animal Location From Grid Cell Population Activity	14

CA3 Circuit Model Compressing Sequential Information in Theta Oscillation and Replay	14
Reduced-Dimension, Biophysical Neuron Models Constructed From Observed Data	13
Least kth-Order and Rényi Generative Adversarial Networks	13
A Framework of Learning Through Empirical Gain Maximization	13
Expansion of Information in the Binary Autoencoder with Random Binary Weights	12
UAdam: Unified Adam-Type Algorithmic Framework for Nonconvex Optimization	11
Learning Fixed Points of Recurrent Neural Networks by Reparameterizing the Network Model	11
Learning Only on Boundaries: A Physics-Informed Neural Operator for Solving Parametric Partial Differential Equations in Complex Geometries	11
On the Search for Data-Driven and Reproducible Schizophrenia Subtypes Using Resting State fMRI Data From Multiple Sites	11
Decoding Pixel-Level Image Features From Two-Photon Calcium Signals of Macaque Visual Cortex	10
Quantifying and Maximizing the Information Flux in Recurrent Neural Networks	10
Generalization Guarantees of Gradient Descent for Shallow Neural Networks	10
Deep Nonnegative Matrix Factorization With Beta Divergences	10
Maximal Memory Capacity Near the Edge of Chaos in Balanced Cortical E-I Networks	10
Attention in a Family of Boltzmann Machines Emerging From Modern Hopfield Networks	10
Deconstructing Deep Active Inference: A Contrarian Information Gatherer	9
Multimodal and Multifactor Branching Time Active Inference	8
The Limiting Dynamics of SGD: Modified Loss, Phase-Space Oscillations, and Anomalous Diffusion	8
Learning in Associative Networks Through Pavlovian Dynamics	8
Online Mental Fatigue Monitoring via Indirect Brain Dynamics Evaluation	8
Differential Geometry Methods for Constructing Manifold-Targeted Recurrent Neural Networks	8
Neuromorphic Engineering: In Memory of Misha Mahowald	8
Nonlinear Decoding of Natural Images From Large-Scale Primate Retinal Ganglion Recordings	8
A Mean Field to Capture Asynchronous Irregular Dynamics of Conductance-Based Networks of Adaptive Quadratic Integrate-and-Fire Neuron Models	8
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.	7
Electrical Signaling Beyond Neurons	7
Model Based or Model Free? Comparing Adaptive Methods for Estimating Thresholds in Neuroscience	7
Using Global t-SNE to Preserve Intercluster Data Structure	7
Bioplausible Unsupervised Delay Learning for Extracting Spatiotemporal Features in Spiking Neural Networks	7
eSPA+: Scalable Entropy-Optimal Machine Learning Classification for Small Data Problems	6
Bayesian Quadrature Optimization for Probability Threshold Robustness Measure	6
Might a Single Neuron Solve Interesting Machine Learning Problems Through Successive Computations on Its Dendritic Tree?	6
Hypothesis Test and Confidence Analysis With Wasserstein Distance on General Dimension	6
Temporal Variabilities Provide Additional Category-Related Information in Object Category Decoding: A Systematic Comparison of Informative EEG Features	6
Statistical Properties of Color Matching Functions	6
How Does the Inner Retinal Network Shape the Ganglion Cells Receptive Field? A Computational Study	6
Positive Competitive Networks for Sparse Reconstruction	6
Prototype Analysis in Hopfield Networks With Hebbian Learning	6
Probing the Structure and Functional Properties of the Dropout-Induced Correlated Variability in Convolutional Neural Networks	6
Computation With Sequences of Assemblies in a Model of the Brain	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
Desiderata for Normative Models of Synaptic Plasticity	6
Toward Network Intelligence	6
Randomized Self-Organizing Map	5
On the Achievability of Blind Source Separation for High-Dimensional Nonlinear Source Mixtures	5
Astrocytes Learn to Detect and Signal Deviations From Critical Brain Dynamics	5
Shaping Dynamics With Multiple Populations in Low-Rank Recurrent Networks	5
Mechanism of Duration Perception in Artificial Brains Suggests New Model of Attentional Entrainment	5
Semisupervised Ordinal Regression Based on Empirical Risk Minimization	5

A Normative Account of Confirmation Bias During Reinforcement Learning	5
Generalization Analysis of Transformers in Distribution Regression	4
Is Learning in Biological Neural Networks Based on Stochastic Gradient Descent? An Analysis Using Stochastic Processes	4
Uncovering Dynamical Equations of Stochastic Decision Models Using Data-Driven SINDy Algorithm	4
Promoting the Shift From Pixel-Level Correlations to Object Semantics Learning by Rethinking Computer Vision Benchmark Data Sets	4
Toward a Free-Response Paradigm of Decision Making in Spiking Neural Networks	4
Storage Capacity of Quaternion-Valued Hopfield Neural Networks With Dual Connections	4
Visuomotor Mismatch Responses as a Hallmark of Explaining Away in Causal Inference	4
Strong Allee Effect Synaptic Plasticity Rule in an Unsupervised Learning Environment	4
Chance-Constrained Active Inference	4
Spiking Neuron-Astrocyte Networks for Image Recognition	4
Active Inference and Intentional Behavior	4
Memoryless Optimality: Neurons Do Not Need Adaptation to Optimally Encode Stimuli With Arbitrarily Complex Statistics	4
Neural Circuits for Dynamics-Based Segmentation of Time Series	4
Flexible Transmitter Network	4
Simple Convolutional-Based Models: Are They Learning the Task or the Data?	4
Distributed Phase Oscillatory Excitation Efficiently Produces Attractors Using Spike-Timing-Dependent Plasticity	4