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 2022-06-01 to 2026-06-01.)

Article	Citations
Conductance-Based Phenomenological Nonspiking Model: A Dimensionless and Simple Model That Reliably Predicts the Effects of Conductance Variations on Nonspiking Neuronal Dynamics	122
Sensitivity of Sparse Codes to Image Distortions	70
Optimizing Attention and Cognitive Control Costs Using Temporally Layered Architectures	35
Bounded Rational Decision Networks With Belief Propagation	32
On Suspicious Coincidences and Pointwise Mutual Information	31
Mean-Field Approximations With Adaptive Coupling for Networks With Spike-Timing-Dependent Plasticity	27
Perceptual Processes as Charting Operators	26
Generalized Low-Rank Update: Model Parameter Bounds for Low-Rank Training Data Modifications	24
Top-Down Priors Disambiguate Target and Distractor Features in Simulated Covert Visual Search	24
A Model of Semantic Completion in Generative Episodic Memory	23
Permitted Sets and Convex Coding in Nonthreshold Linear Networks	23
Synergistic Pathways of Modulation Enable Robust Task Packing Within Neural Dynamics	20
Self-Organization of Nonlinearly Coupled Neural Fluctuations Into Synergistic Population Codes	20
Inhibitory Feedback Enables Predictive Learning of Multiple Sequences in Neural Networks	19
Toward Generalized Entropic Sparsification for Convolutional Neural Networks	17
Implicit Generative Modeling by Kernel Similarity Matching	17
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
Object Detection, Recognition, Deep Learning, and the Universal Law of Generalization	15
Reframing the Expected Free Energy: Four Formulations and a Unification	15
Learning Fixed Points of Recurrent Neural Networks by Reparameterizing the Network Model	14
Similarity Matching Networks: Hebbian Learning and Convergence Over Multiple Timescales	14
UAdam: Unified Adam-Type Algorithmic Framework for Nonconvex Optimization	13
Estimating Phase From Observed Trajectories Using the Temporal 1-Form	13
On the Search for Data-Driven and Reproducible Schizophrenia Subtypes Using Resting State fMRI Data From Multiple Sites	12

Advantages of Persistent Cohomology in Estimating Animal Location From Grid Cell Population Activity	11
Reduced-Dimension, Biophysical Neuron Models Constructed From Observed Data	11
Learning Only on Boundaries: A Physics-Informed Neural Operator for Solving Parametric Partial Differential Equations in Complex Geometries	11
CA3 Circuit Model Compressing Sequential Information in Theta Oscillation and Replay	11
Active Learning for Discrete Latent Variable Models	11
Quantifying and Maximizing the Information Flux in Recurrent Neural Networks	10
Echoes of the Past: A Unified Perspective on Fading Memory and Echo States	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
Differential Geometry Methods for Constructing Manifold-Targeted Recurrent Neural Networks	9
Multimodal and Multifactor Branching Time Active Inference	9
Encoding of Numerosity With Robustness to Object and Scene Identity in Biologically Inspired Object Recognition Networks	9
Attention in a Family of Boltzmann Machines Emerging From Modern Hopfield Networks	9
Decision Threshold Learning in the Basal Ganglia for Multiple Alternatives	9
The Limiting Dynamics of SGD: Modified Loss, Phase-Space Oscillations, and Anomalous Diffusion	9
Deep Nonnegative Matrix Factorization With Beta Divergences	8
Comparing Dynamical Models Through Diffeomorphic Vector Field Alignment	8
Bioplausible Unsupervised Delay Learning for Extracting Spatiotemporal Features in Spiking Neural Networks	8
Neuromorphic Engineering: In Memory of Misha Mahowald	8
Electrical Signaling Beyond Neurons	8
Learning in Associative Networks Through Pavlovian Dynamics	8
Deconstructing Deep Active Inference: A Contrarian Information Gatherer	8
A Mean Field to Capture Asynchronous Irregular Dynamics of Conductance-Based Networks of Adaptive Quadratic Integrate-and-Fire Neuron Models	8
Toward Network Intelligence	7
Desiderata for Normative Models of Synaptic Plasticity	7
Computation With Sequences of Assemblies in a Model of the Brain	7
Probing the Structure and Functional Properties of the Dropout-Induced Correlated Variability in Convolutional Neural Networks	7
Using Global t-SNE to Preserve Intercluster Data Structure	7
Prototype Analysis in Hopfield Networks With Hebbian Learning	7
How Does the Inner Retinal Network Shape the Ganglion Cells Receptive Field? A Computational Study	7
Astrocytes Learn to Detect and Signal Deviations From Critical Brain Dynamics	6
Disentangled Representation Learning and Generation With Manifold Optimization	6
Is Learning in Biological Neural Networks Based on Stochastic Gradient Descent? An Analysis Using Stochastic Processes	6
Active Inference and Intentional Behavior	6
Mechanism of Duration Perception in Artificial Brains Suggests New Model of Attentional Entrainment	6
Memoryless Optimality: Neurons Do Not Need Adaptation to Optimally Encode Stimuli With Arbitrarily Complex Statistics	6
Sequential Learning in the Dense Associative Memory	6
Promoting the Shift From Pixel-Level Correlations to Object Semantics Learning by Rethinking Computer Vision Benchmark Data Sets	6
Positive Competitive Networks for Sparse Reconstruction	6
Working Memory and Self-Directed Inner Speech Enhance Multitask Generalization in Active Inference	6
Generalization Analysis of Transformers in Distribution Regression	6
Visuomotor Mismatch Responses as a Hallmark of Explaining Away in Causal Inference	6
Spiking Neuron-Astrocyte Networks for Image Recognition	5
Fast Multigroup Gaussian Process Factor Models	5
Reducing Catastrophic Forgetting With Associative Learning: A Lesson From Fruit Flies	5
Toward a Biomimetic Neural Circuit Model of Sensory-Motor Processing	5
Strong Allee Effect Synaptic Plasticity Rule in an Unsupervised Learning Environment	5
Boosting MCTS With Free Energy Minimization	5
Toward a Free-Response Paradigm of Decision Making in Spiking Neural Networks	5
Multiclass Linear Perceptrons With Multiplicative Margins	5

Distributed Synaptic Connection Strength Changes Dynamics in a Population Firing Rate Model in Response to Continuous External Stimuli	5
Synaptic Information Storage Capacity Measured With Information Theory	5