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 2022-05-01 to 2026-05-01.)

Article	Citations
Conductance-Based Phenomenological Nonspiking Model: A Dimensionless and Simple Model That Reliably Predicts the Effects of Conductance Variations on Nonspiking Neuronal Dynamics	116
Sensitivity of Sparse Codes to Image Distortions	75
Bounded Rational Decision Networks With Belief Propagation	67
Optimizing Attention and Cognitive Control Costs Using Temporally Layered Architectures	42
On Suspicious Coincidences and Pointwise Mutual Information	35
Mean-Field Approximations With Adaptive Coupling for Networks With Spike-Timing-Dependent Plasticity	31
Perceptual Processes as Charting Operators	31
Top-Down Priors Disambiguate Target and Distractor Features in Simulated Covert Visual Search	26
Generalized Low-Rank Update: Model Parameter Bounds for Low-Rank Training Data Modifications	26
Permitted Sets and Convex Coding in Nonthreshold Linear Networks	24
A Model of Semantic Completion in Generative Episodic Memory	23
Self-Organization of Nonlinearly Coupled Neural Fluctuations Into Synergistic Population Codes	23
Implicit Generative Modeling by Kernel Similarity Matching	20
Synergistic Pathways of Modulation Enable Robust Task Packing Within Neural Dynamics	20
Inhibitory Feedback Enables Predictive Learning of Multiple Sequences in Neural Networks	19
Toward Generalized Entropic Sparsification for Convolutional Neural Networks	18
Extended Poisson Gaussian-Process Latent Variable Model for Unsupervised Neural Decoding	17
Adaptive Filter Model of Cerebellum for Biological Muscle Control With Spike Train Inputs	17
Object Detection, Recognition, Deep Learning, and the Universal Law of Generalization	16
Reframing the Expected Free Energy: Four Formulations and a Unification	16
Learning Fixed Points of Recurrent Neural Networks by Reparameterizing the Network Model	15
Similarity Matching Networks: Hebbian Learning and Convergence Over Multiple Time Scales	15
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	14
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
UAdam: Unified Adam-Type Algorithmic Framework for Nonconvex Optimization	13
Reduced-Dimension, Biophysical Neuron Models Constructed From Observed Data	12
Echoes of the Past: A Unified Perspective on Fading Memory and Echo States	11
Quantifying and Maximizing the Information Flux in Recurrent Neural Networks	11
Advantages of Persistent Cohomology in Estimating Animal Location From Grid Cell Population Activity	11
CA3 Circuit Model Compressing Sequential Information in Theta Oscillation and Replay	11
Multimodal and Multifactor Branching Time Active Inference	10
Decoding Pixel-Level Image Features From Two-Photon Calcium Signals of Macaque Visual Cortex	10
Maximal Memory Capacity Near the Edge of Chaos in Balanced Cortical E-I Networks	10
Generalization Guarantees of Gradient Descent for Shallow Neural Networks	10
Encoding of Numerosity With Robustness to Object and Scene Identity in Biologically Inspired Object Recognition Networks	10
Deconstructing Deep Active Inference: A Contrarian Information Gatherer	9
Decision Threshold Learning in the Basal Ganglia for Multiple Alternatives	9
Attention in a Family of Boltzmann Machines Emerging From Modern Hopfield Networks	9
Differential Geometry Methods for Constructing Manifold-Targeted Recurrent Neural Networks	9
The Limiting Dynamics of SGD: Modified Loss, Phase-Space Oscillations, and Anomalous Diffusion	9
Deep Nonnegative Matrix Factorization With Beta Divergences	8
Electrical Signaling Beyond Neurons	8
A Mean Field to Capture Asynchronous Irregular Dynamics of Conductance-Based Networks of Adaptive Quadratic Integrate-and-Fire Neuron Models	8
Neuromorphic Engineering: In Memory of Misha Mahowald	8
Comparing Dynamical Models Through Diffeomorphic Vector Field Alignment	8
Bioplausible Unsupervised Delay Learning for Extracting Spatiotemporal Features in Spiking Neural Networks	8
Learning in Associative Networks Through Pavlovian Dynamics	8
Hypothesis Test and Confidence Analysis With Wasserstein Distance on General Dimension	8
Using Global t-SNE to Preserve Intercluster Data Structure	8
Desiderata for Normative Models of Synaptic Plasticity	7
Prototype Analysis in Hopfield Networks With Hebbian Learning	7
Working Memory and Self-Directed Inner Speech Enhance Multitask Generalization in Active Inference	7
Probing the Structure and Functional Properties of the Dropout-Induced Correlated Variability in Convolutional Neural Networks	7
Computation With Sequences of Assemblies in a Model of the Brain	7
Astrocytes Learn to Detect and Signal Deviations From Critical Brain Dynamics	7
How Does the Inner Retinal Network Shape the Ganglion Cells Receptive Field? A Computational Study	7
Toward Network Intelligence	7
Disentangled Representation Learning and Generation With Manifold Optimization	6
Active Inference and Intentional Behavior	6
Is Learning in Biological Neural Networks Based on Stochastic Gradient Descent? An Analysis Using Stochastic Processes	6
Memoryless Optimality: Neurons Do Not Need Adaptation to Optimally Encode Stimuli With Arbitrarily Complex Statistics	6
Positive Competitive Networks for Sparse Reconstruction	6
Sequential Learning in the Dense Associative Memory	6
Mechanism of Duration Perception in Artificial Brains Suggests New Model of Attentional Entrainment	6
Generalization Analysis of Transformers in Distribution Regression	6
Visuomotor Mismatch Responses as a Hallmark of Explaining Away in Causal Inference	6
Uncovering Dynamical Equations of Stochastic Decision Models Using Data-Driven SINDy Algorithm	5
Multiclass Linear Perceptrons With Multiplicative Margins	5
Toward a Biomimetic Neural Circuit Model of Sensory-Motor Processing	5
Boosting MCTS With Free Energy Minimization	5
Promoting the Shift From Pixel-Level Correlations to Object Semantics Learning by Rethinking Computer Vision Benchmark Data Sets	5
Spiking Neuron-Astrocyte Networks for Image Recognition	5
Distributed Synaptic Connection Strength Changes Dynamics in a Population Firing Rate Model in Response to Continuous External Stimuli	5

Sum-of-Norms Regularized Nonnegative Matrix Factorization	5
Fast Multigroup Gaussian Process Factor Models	5
Strong Allee Effect Synaptic Plasticity Rule in an Unsupervised Learning Environment	5
Toward a Free-Response Paradigm of Decision Making in Spiking Neural Networks	5