OOIR: Observatory of International Research

Papers

(The median citation count of Neural Computation is 2. 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 2022-08-01 to 2026-08-01.)

Article	Citations
Conductance-Based Phenomenological Nonspiking Model: A Dimensionless and Simple Model That Reliably Predicts the Effects of Conductance Variations on Nonspiking Neuronal Dynamics	125
Optimizing Attention and Cognitive Control Costs Using Temporally Layered Architectures	73
Bounded Rational Decision Networks With Belief Propagation	38
Mean-Field Approximations With Adaptive Coupling for Networks With Spike-Timing-Dependent Plasticity	31
Perceptual Processes as Charting Operators	27
On Suspicious Coincidences and Pointwise Mutual Information	26
Generalized Low-Rank Update: Model Parameter Bounds for Low-Rank Training Data Modifications	25
Permitted Sets and Convex Coding in Nonthreshold Linear Networks	24
Top-Down Priors Disambiguate Target and Distractor Features in Simulated Covert Visual Search	24
A Model of Semantic Completion in Generative Episodic Memory	22
Self-Organization of Nonlinearly Coupled Neural Fluctuations Into Synergistic Population Codes	20
Synergistic Pathways of Modulation Enable Robust Task Packing Within Neural Dynamics	19
Implicit Generative Modeling by Kernel Similarity Matching	18
Inhibitory Feedback Enables Predictive Learning of Multiple Sequences in Neural Networks	18
Toward Generalized Entropic Sparsification for Convolutional Neural Networks	17
Neuronal Spike Trains as Functional-Analytic Distributions: Representation, Analysis, and Significance	17
Adaptive Filter Model of Cerebellum for Biological Muscle Control With Spike Train Inputs	17
Similarity Matching Networks: Hebbian Learning and Convergence Over Multiple Timescales	16
Object Detection, Recognition, Deep Learning, and the Universal Law of Generalization	16
Reframing the Expected Free Energy: Four Formulations and a Unification	15
Extended Poisson Gaussian-Process Latent Variable Model for Unsupervised Neural Decoding	14
Learning Fixed Points of Recurrent Neural Networks by Reparameterizing the Network Model	13
Advantages of Persistent Cohomology in Estimating Animal Location From Grid Cell Population Activity	13
Estimating Phase From Observed Trajectories Using the Temporal 1-Form	13
Active Learning for Discrete Latent Variable Models	13

On the Search for Data-Driven and Reproducible Schizophrenia Subtypes Using Resting State fMRI Data From Multiple Sites	13
Echoes of the Past: A Unified Perspective on Fading Memory and Echo States	12
CA3 Circuit Model Compressing Sequential Information in Theta Oscillation and Replay	12
UAdam: Unified Adam-Type Algorithmic Framework for Nonconvex Optimization	12
Learning Only on Boundaries: A Physics-Informed Neural Operator for Solving Parametric Partial Differential Equations in Complex Geometries	11
Encoding of Numerosity With Robustness to Object and Scene Identity in Biologically Inspired Object Recognition Networks	10
The Limiting Dynamics of SGD: Modified Loss, Phase-Space Oscillations, and Anomalous Diffusion	10
Generalization Guarantees of Gradient Descent for Shallow Neural Networks	10
Maximal Memory Capacity Near the Edge of Chaos in Balanced Cortical E-I Networks	10
Multimodal and Multifactor Branching Time Active Inference	10
Quantifying and Maximizing the Information Flux in Recurrent Neural Networks	10
Decision Threshold Learning in the Basal Ganglia for Multiple Alternatives	10
Attention in a Family of Boltzmann Machines Emerging From Modern Hopfield Networks	9
Deep Nonnegative Matrix Factorization With Beta Divergences	9
A Mean Field to Capture Asynchronous Irregular Dynamics of Conductance-Based Networks of Adaptive Quadratic Integrate-and-Fire Neuron Models	8
Learning in Associative Networks Through Pavlovian Dynamics	8
Comparing Dynamical Models Through Diffeomorphic Vector Field Alignment	8
Neuromorphic Engineering: In Memory of Misha Mahowald	8
Electrical Signaling Beyond Neurons	8
Deconstructing Deep Active Inference: A Contrarian Information Gatherer	8
Computation With Sequences of Assemblies in a Model of the Brain	7
Desiderata for Normative Models of Synaptic Plasticity	7
Astrocytes Learn to Detect and Signal Deviations From Critical Brain Dynamics	7
Prototype Analysis in Hopfield Networks With Hebbian Learning	7
Bioplausible Unsupervised Delay Learning for Extracting Spatiotemporal Features in Spiking Neural Networks	7
Probing the Structure and Functional Properties of the Dropout-Induced Correlated Variability in Convolutional Neural Networks	7
Hierarchical Active Inference Using Successor Representations	7
Mechanism of Duration Perception in Artificial Brains Suggests New Model of Attentional Entrainment	7
Toward Network Intelligence	7
How Does the Inner Retinal Network Shape the Ganglion Cells Receptive Field? A Computational Study	7
Positive Competitive Networks for Sparse Reconstruction	7
Working Memory and Self-Directed Inner Speech Enhance Multitask Generalization in Active Inference	7
Active Inference and Intentional Behavior	6
Is Learning in Biological Neural Networks Based on Stochastic Gradient Descent? An Analysis Using Stochastic Processes	6
Disentangled Representation Learning and Generation With Manifold Optimization	6
Visuomotor Mismatch Responses as a Hallmark of Explaining Away in Causal Inference	6
Generalization Analysis of Transformers in Distribution Regression	6
Sequential Learning in the Dense Associative Memory	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
Strong Allee Effect Synaptic Plasticity Rule in an Unsupervised Learning Environment	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
Spiking Neuron-Astrocyte Networks for Image Recognition	5
Fast Multigroup Gaussian Process Factor Models	5
Toward a Computational Phenomenology of Meditative Deconstruction: “Letting Go” and the Deconstruction of Experience With Active Inference	4
Reducing Catastrophic Forgetting With Associative Learning: A Lesson From Fruit Flies	4
Uncovering Dynamical Equations of Stochastic Decision Models Using Data-Driven SINDy Algorithm	4
A Hidden Markov Model–Inspired Sequence Classification Method for Hyperdimensional Computing	4
Learning in Wilson-Cowan Model for Metapopulation	4

Gauge-Optimal Approximate Learning for Small Data Classification	4
Infinite Horizon Control With Nonlinear Dynamics Models Reproduces Temporal Modulation of Reaching Movements	4
Cooperativity, Information Gain, and Energy Cost During Early LTP in Dendritic Spines	4
Sum-of-Norms Regularized Nonnegative Matrix Factorization	4
Synaptic Information Storage Capacity Measured With Information Theory	4
Toward a Free-Response Paradigm of Decision Making in Spiking Neural Networks	4
Simulated Complex Cells Contribute to Object Recognition Through Representational Untangling	4
An Overview of the Free Energy Principle and Related Research	4
Neuromodulators Generate Multiple Context-Relevant Behaviors in Recurrent Neural Networks	4
A Generalized Time Rescaling Theorem for Temporal Point Processes	4
DROP: Distributional and Regular Optimism and Pessimism for Reinforcement Learning	4
Toward a Biomimetic Neural Circuit Model of Sensory-Motor Processing	4
Boosting MCTS With Free Energy Minimization	4
Linear Codes for Hyperdimensional Computing	4
A Survey on Artificial Neural Networks in Human—Robot Interaction	4
Predictive Coding as a Neuromorphic Alternative to Backpropagation: A Critical Evaluation	4
Neural Information Processing and Computations of Two-Input Synapses	3
Firing Rate Models as Associative Memory: Synaptic Design for Robust Retrieval	3
Vector Symbolic Finite State Machines in Attractor Neural Networks	3
Automatic Hyperparameter Tuning in Sparse Matrix Factorization	3
Human Eyes–Inspired Recurrent Neural Networks Are More Robust Against Adversarial Noises	3
On the Compressive Power of Autoencoders With Linear and ReLU Activation Functions	3
Context-Sensitive Processing in a Model Neocortical Pyramidal Cell With Two Sites of Input Integration	3
Capacity Limitations of Visual Search in Deep Convolutional Neural Networks	3
Evidence for Multiscale Multiplexed Representation of Visual Features in EEG	3
Macroscopic Gamma Oscillation With Bursting Neuron Model Under Stochastic Fluctuation	3
Cocaine Use Prediction With Tensor-Based Machine Learning on Multimodal MRI Connectome Data	3
Multistream-Based Marked Point Process With Decomposed Cumulative Hazard Functions	3
Emergence of Universal Computations Through Neural Manifold Dynamics	3
Excitation–Inhibition Balance Controls Synchronization in a Simple Model of Coupled Phase Oscillators	3
Trainable Reference Spikes Improve Temporal Information Processing of SNNs With Supervised Learning	3
Column Row Convolutional Neural Network: Reducing Parameters for Efficient Image Processing	3
Generalization Analysis of Pairwise Learning for Ranking With Deep Neural Networks	3
Possible Principles for Aligned Structure Learning Agents	3
Selective Inference for Change Point Detection by Recurrent Neural Network	3
Nearly Optimal Learning Using Sparse Deep ReLU Networks in Regularized Empirical Risk Minimization With Lipschitz Loss	3
Beyond Backpropagation: Bilevel Optimization Through Implicit Differentiation and Equilibrium Propagation	3
Posterior Covariance Information Criterion for Weighted Inference	3
Multilevel Data Representation for Training Deep Helmholtz Machines	2
Relating Human Error–Based Learning to Modern Deep RL Algorithms	2
A Categorical Framework for Quantifying Emergent Effects in Network Topology	2
Efficient Decoding of Compositional Structure in Holistic Representations	2
Latent Space Bayesian Optimization With Latent Data Augmentation for Enhanced Exploration	2
Knowledge as a Breaking of Ergodicity	2
Intrinsic Rewards for Exploration Without Harm From Observational Noise: A Simulation Study Based on the Free Energy Principle	2
Transformer Models for Signal Processing: Scaled Dot-Product Attention Implements Constrained Filtering	2
Learning Internal Representations of 3D Transformations From 2D Projected Inputs	2
Errata to “A Tutorial on the Spectral Theory of Markov Chains” by Eddie Seabrook and Laurenz Wiskott ( Neural Computation , November 2023, Vol. 35, No. 1	2
Mirror Descent of Hopfield Model	2
Predictive Coding Model Detects Novelty on Different Levels of Representation Hierarchy	2
Sensitivity to Control Signals in Triphasic Rhythmic Neural Systems: A Comparative Mechanistic Analysis via Infinitesimal Local Timing Response Curves	2
Approximation Rates in Fréchet Metrics: Barron Spaces, Paley-Wiener Spaces, and Fourier Multipliers	2
Modeling the Role of Contour Integration in Visual Inference	2
Gradual Domain Adaptation via Normalizing Flows	2
Heterogeneity in Neuronal Dynamics Is Learned by Gradient Descent for Temporal Processing Tasks	2
Measuring Stimulus Information Transfer Between Neural Populations Through the Communication Subspace	2
Recurrent Neural-Linear Posterior Sampling for Nonstationary Contextual Bandits	2
Distance-Based Logistic Matrix Factorization	2
Learning With Proper Partial Labels	2
Large Language Models and the Reverse Turing Test	2
Inferring Mechanisms of Auditory Attentional Modulation with Deep Neural Networks	2
The Leaky Integrate-and-Fire Neuron Is a Change-Point Detector for Compound Poisson Processes	2
Manifold Gaussian Variational Bayes on the Precision Matrix	2
Toward Enhancing RMSProp With Forward-Looking Gradient Updates for Complex Loss Landscapes	2
Adding Space to Random Networks of Spiking Neurons: A Method Based on Scaling the Network Size	2
A Neural Model for Insect Steering Applied to Olfaction and Path Integration	2
Lateral Connections Improve Generalizability of Learning in a Simple Neural Network	2
ReBaCCA-ss: Relevance-Balanced Continuum Correlation Analysis With Smoothing and Surrogating for Quantifying Similarity Between Population Spiking Activities	2
Body Mechanics, Optimality, and Sensory Feedback in the Human Control of Complex Objects	2
Dynamics and Bifurcation Structure of a Mean-Field Model of Adaptive Exponential Integrate-and-Fire Networks	2
Formal Verification of Deep Brain Stimulation Controllers for Parkinson's Disease Treatment	2
Rapid Reweighting of Sensory Inputs and Predictions in Visual Perception	2
A Fast Algorithm for the Real-Valued Combinatorial Pure Exploration of the Multi-Armed Bandit	2
A Generalized Framework of Multifidelity Max-Value Entropy Search Through Joint Entropy	2
Effective Learning Rules as Natural Gradient Descent	2
Gaussian Process Koopman Mode Decomposition	2
Sparse-Coding Variational Autoencoders	2
Winning the Lottery With Neural Connectivity Constraints: Faster Learning Across Cognitive Tasks With Spatially Constrained Sparse RNNs	2