OOIR: Observatory of International Research

Papers

(The TQCC of Neural Computation is 5. 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 2021-11-01 to 2025-11-01.)

Article	Citations
Conductance-Based Phenomenological Nonspiking Model: A Dimensionless and Simple Model That Reliably Predicts the Effects of Conductance Variations on Nonspiking Neuronal Dynamics	95
Sensitivity of Sparse Codes to Image Distortions	61
Optimizing Attention and Cognitive Control Costs Using Temporally Layered Architectures	59
On Suspicious Coincidences and Pointwise Mutual Information	35
Bounded Rational Decision Networks With Belief Propagation	33
Mean-Field Approximations With Adaptive Coupling for Networks With Spike-Timing-Dependent Plasticity	30
Generalized Low-Rank Update: Model Parameter Bounds for Low-Rank Training Data Modifications	26
Permitted Sets and Convex Coding in Nonthreshold Linear Networks	24
Top-Down Priors Disambiguate Target and Distractor Features in Simulated Covert Visual Search	24
Self-Organization of Nonlinearly Coupled Neural Fluctuations Into Synergistic Population Codes	20
Understanding the Computational Demands Underlying Visual Reasoning	20
Bridging the Functional and Wiring Properties of V1 Neurons Through Sparse Coding	20
A Model of Semantic Completion in Generative Episodic Memory	20
Asymmetric Weights and Retrieval Practice in an Autoassociative Neural Network Model of Paired-Associate Learning	19
Modeling the Ventral and Dorsal Cortical Visual Pathways Using Artificial Neural Networks	18
Synergistic Pathways of Modulation Enable Robust Task Packing Within Neural Dynamics	18
Adaptive Filter Model of Cerebellum for Biological Muscle Control With Spike Train Inputs	17
Extended Poisson Gaussian-Process Latent Variable Model for Unsupervised Neural Decoding	16
Learning Fixed Points of Recurrent Neural Networks by Reparameterizing the Network Model	15
CA3 Circuit Model Compressing Sequential Information in Theta Oscillation and Replay	15
Toward Generalized Entropic Sparsification for Convolutional Neural Networks	15
On the Search for Data-Driven and Reproducible Schizophrenia Subtypes Using Resting State fMRI Data From Multiple Sites	14
Estimating Phase From Observed Trajectories Using the Temporal 1-Form	14
Active Learning for Discrete Latent Variable Models	14
Learning Only on Boundaries: A Physics-Informed Neural Operator for Solving Parametric Partial Differential Equations in Complex Geometries	13

Reduced-Dimension, Biophysical Neuron Models Constructed From Observed Data	13
UAdam: Unified Adam-Type Algorithmic Framework for Nonconvex Optimization	13
Understanding Dynamics of Nonlinear Representation Learning and Its Application	13
Advantages of Persistent Cohomology in Estimating Animal Location From Grid Cell Population Activity	13
Quantifying and Maximizing the Information Flux in Recurrent Neural Networks	12
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
Encoding of Numerosity With Robustness to Object and Scene Identity in Biologically Inspired Object Recognition Networks	11
Multimodal and Multifactor Branching Time Active Inference	10
Deconstructing Deep Active Inference: A Contrarian Information Gatherer	10
Maximal Memory Capacity Near the Edge of Chaos in Balanced Cortical E-I Networks	10
Decision Threshold Learning in the Basal Ganglia for Multiple Alternatives	9
Differential Geometry Methods for Constructing Manifold-Targeted Recurrent Neural Networks	9
Attention in a Family of Boltzmann Machines Emerging From Modern Hopfield Networks	9
Neuromorphic Engineering: In Memory of Misha Mahowald	9
Learning in Associative Networks Through Pavlovian Dynamics	8
Deep Nonnegative Matrix Factorization With Beta Divergences	8
Bioplausible Unsupervised Delay Learning for Extracting Spatiotemporal Features in Spiking Neural Networks	8
The Limiting Dynamics of SGD: Modified Loss, Phase-Space Oscillations, and Anomalous Diffusion	8
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
Computation With Sequences of Assemblies in a Model of the Brain	7
Desiderata for Normative Models of Synaptic Plasticity	7
Using Global t-SNE to Preserve Intercluster Data Structure	7
Prototype Analysis in Hopfield Networks With Hebbian Learning	7
eSPA+: Scalable Entropy-Optimal Machine Learning Classification for Small Data Problems	7
Model Based or Model Free? Comparing Adaptive Methods for Estimating Thresholds in Neuroscience	7
Electrical Signaling Beyond Neurons	7
Probing the Structure and Functional Properties of the Dropout-Induced Correlated Variability in Convolutional Neural Networks	7
Hypothesis Test and Confidence Analysis With Wasserstein Distance on General Dimension	7
Implicit Contact Dynamics Modeling With Explicit Inertia Matrix Representation for Real-Time, Model-Based Control in Physical Environment	7
How Does the Inner Retinal Network Shape the Ganglion Cells Receptive Field? A Computational Study	7
Mechanism of Duration Perception in Artificial Brains Suggests New Model of Attentional Entrainment	6
Astrocytes Learn to Detect and Signal Deviations From Critical Brain Dynamics	6
Working Memory and Self-Directed Inner Speech Enhance Multitask Generalization in Active Inference	6
Visuomotor Mismatch Responses as a Hallmark of Explaining Away in Causal Inference	6
Neural Circuits for Dynamics-Based Segmentation of Time Series	6
Semisupervised Ordinal Regression Based on Empirical Risk Minimization	6
Positive Competitive Networks for Sparse Reconstruction	6
Active Inference and Intentional Behavior	6
Sequential Learning in the Dense Associative Memory	6
Is Learning in Biological Neural Networks Based on Stochastic Gradient Descent? An Analysis Using Stochastic Processes	6
A Normative Account of Confirmation Bias During Reinforcement Learning	6
Bayesian Quadrature Optimization for Probability Threshold Robustness Measure	6
Disentangled Representation Learning and Generation With Manifold Optimization	6
Generalization Analysis of Transformers in Distribution Regression	6
Memoryless Optimality: Neurons Do Not Need Adaptation to Optimally Encode Stimuli With Arbitrarily Complex Statistics	6
Promoting the Shift From Pixel-Level Correlations to Object Semantics Learning by Rethinking Computer Vision Benchmark Data Sets	5
Simple Convolutional-Based Models: Are They Learning the Task or the Data?	5
Distributed Phase Oscillatory Excitation Efficiently Produces Attractors Using Spike-Timing-Dependent Plasticity	5

Fast Multigroup Gaussian Process Factor Models	5
Toward a Biomimetic Neural Circuit Model of Sensory-Motor Processing	5
Strong Allee Effect Synaptic Plasticity Rule in an Unsupervised Learning Environment	5
Spiking Neuron-Astrocyte Networks for Image Recognition	5
Reducing Catastrophic Forgetting With Associative Learning: A Lesson From Fruit Flies	5