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 2021-04-01 to 2025-04-01.)

Article	Citations
Dynamic Modeling of Spike Count Data With Conway-Maxwell Poisson Variability	94
Lateral Connections Improve Generalizability of Learning in a Simple Neural Network	73
Do Neural Networks for Segmentation Understand Insideness?	49
Conductance-Based Phenomenological Nonspiking Model: A Dimensionless and Simple Model That Reliably Predicts the Effects of Conductance Variations on Nonspiking Neuronal Dynamics	48
Gaussian Process Koopman Mode Decomposition	43
Categorical Perception: A Groundwork for Deep Learning	38
Toward a Biomimetic Neural Circuit Model of Sensory-Motor Processing	36
Formal Verification of Deep Brain Stimulation Controllers for Parkinson's Disease Treatment	31
NetPyNE Implementation and Scaling of the Potjans-Diesmann Cortical Microcircuit Model	30
Attention in a Family of Boltzmann Machines Emerging From Modern Hopfield Networks	27
Information Geometrically Generalized Covariate Shift Adaptation	25
Linear Codes for Hyperdimensional Computing	21
Sensitivity of Sparse Codes to Image Distortions	20
Few-Shot Learning in Spiking Neural Networks by Multi-Timescale Optimization	20
Training Deep Convolutional Spiking Neural Networks With Spike Probabilistic Global Pooling	20
The Limiting Dynamics of SGD: Modified Loss, Phase-Space Oscillations, and Anomalous Diffusion	19
Multimodal and Multifactor Branching Time Active Inference	18
Synaptic Information Storage Capacity Measured With Information Theory	18
Differential Geometry Methods for Constructing Manifold-Targeted Recurrent Neural Networks	17
Distributed Phase Oscillatory Excitation Efficiently Produces Attractors Using Spike-Timing-Dependent Plasticity	16
On an Interpretation of ResNets via Gate-Network Control	15
Deconstructing Deep Active Inference: A Contrarian Information Gatherer	14
Classification of Autism Spectrum Disorder From EEG-Based Functional Brain Connectivity Analysis	14
Neuromorphic Engineering: In Memory of Misha Mahowald	13
On Neural Associative Memory Structures: Storage and Retrieval of Sequences in a Chain of Tournaments	13

Reducing Catastrophic Forgetting With Associative Learning: A Lesson From Fruit Flies	13
Restricted Boltzmann Machines as Models of Interacting Variables	12
Deep Nonnegative Matrix Factorization With Beta Divergences	12
The Tensor Brain: A Unified Theory of Perception, Memory, and Semantic Decoding	12
A Computational Study on Synaptic Plasticity Regulation and Information Processing in Neuron-Astrocyte Networks	12
Replay as a Basis for Backpropagation Through Time in the Brain	11
From Univariate to Multivariate Coupling Between Continuous Signals and Point Processes: A Mathematical Framework	11
On Neural Network Kernels and the Storage Capacity Problem	11
Parameter Estimation in Multiple Dynamic Synaptic Coupling Model Using Bayesian Point Process State-Space Modeling Framework	11
Toward a Free-Response Paradigm of Decision Making in Spiking Neural Networks	11
A Biologically Plausible Neural Network for Multichannel Canonical Correlation Analysis	10
The Leaky Integrate-and-Fire Neuron Is a Change-Point Detector for Compound Poisson Processes	10
Obtaining Lower Query Complexities Through Lightweight Zeroth-Order Proximal Gradient Algorithms	10
Distributed Synaptic Connection Strength Changes Dynamics in a Population Firing Rate Model in Response to Continuous External Stimuli	10
Efficient Decoding of Large-Scale Neural Population Responses With Gaussian-Process Multiclass Regression	9
Efficient Hyperdimensional Computing With Spiking Phasors	8
A Fast Algorithm for All-Pairs-Shortest-Paths Suitable for Neural Networks	8
A Generalized Framework of Multifidelity Max-Value Entropy Search Through Joint Entropy	8
Nonlinear Decoding of Natural Images From Large-Scale Primate Retinal Ganglion Recordings	8
A Simple Model of Nonspiking Neurons	8
Orthogonal Gated Recurrent Unit With Neumann-Cayley Transformation	8
Manifold Gaussian Variational Bayes on the Precision Matrix	8
Optimizing Attention and Cognitive Control Costs Using Temporally Layered Architectures	8
On Suspicious Coincidences and Pointwise Mutual Information	8
Bounded Rational Decision Networks With Belief Propagation	7
Online Mental Fatigue Monitoring via Indirect Brain Dynamics Evaluation	7
A Dynamic Neural Field Model of Multimodal Merging: Application to the Ventriloquist Effect	7
Relating Human Error–Based Learning to Modern Deep RL Algorithms	6
Uncovering Dynamical Equations of Stochastic Decision Models Using Data-Driven SINDy Algorithm	6
From Pavlov Conditioning to Hebb Learning	6
Mean-Field Approximations With Adaptive Coupling for Networks With Spike-Timing-Dependent Plasticity	6
Self-Organization of Nonlinearly Coupled Neural Fluctuations Into Synergistic Population Codes	6
Errata to “A Tutorial on the Spectral Theory of Markov Chains” by Eddie Seabrook and Laurenz Wiskott (Neural Computation, November 2023, Vol. 35, No. 11, pp. 1713–1796, https://doi.org/10.1162/	6
Approximating Nonlinear Functions With Latent Boundaries in Low-Rank Excitatory-Inhibitory Spiking Networks	6
Large Language Models and the Reverse Turing Test	6
Learning the Synaptic and Intrinsic Membrane Dynamics Underlying Working Memory in Spiking Neural Network Models	6
Recurrent Connections in the Primate Ventral Visual Stream Mediate a Trade-Off Between Task Performance and Network Size During Core Object Recognition	6
Artificial Neural Variability for Deep Learning: On Overfitting, Noise Memorization, and Catastrophic Forgetting	6
Probing the Relationship Between Latent Linear Dynamical Systems and Low-Rank Recurrent Neural Network Models	6
Toward a Kernel-Based Uncertainty Decomposition Framework for Data and Models	6
On PDE Characterization of Smooth Hierarchical Functions Computed by Neural Networks	6
On the Explainability of Graph Convolutional Network With GCN Tangent Kernel	6
A Neurodynamic Model of Saliency Prediction in V1	5
Fine Granularity Is Critical for Intelligent Neural Network Pruning	5
Unsupervised Learning of Temporal Abstractions With Slot-Based Transformers	5
Cooperativity, Information Gain, and Energy Cost During Early LTP in Dendritic Spines	5
An Overview of the Free Energy Principle and Related Research	5
A Mean Field to Capture Asynchronous Irregular Dynamics of Conductance-Based Networks of Adaptive Quadratic Integrate-and-Fire Neuron Models	5
Learning in Wilson-Cowan Model for Metapopulation	5
Spiking Neural Network Pressure Sensor	5

Progressive Interpretation Synthesis: Interpreting Task Solving by Quantifying Previously Used and Unused Information	4
Realizing Synthetic Active Inference Agents, Part II: Variational Message Updates	4
Lifelong Classification in Open World With Limited Storage Requirements	4
A Generalized Time Rescaling Theorem for Temporal Point Processes	4
Model Based or Model Free? Comparing Adaptive Methods for Estimating Thresholds in Neuroscience	4
Generalized Low-Rank Update: Model Parameter Bounds for Low-Rank Training Data Modifications	4
Mathematical Modeling of PI3K/Akt Pathway in Microglia	4
Permitted Sets and Convex Coding in Nonthreshold Linear Networks	4
Modeling the Role of Contour Integration in Visual Inference	4
Enhanced EEG Forecasting: A Probabilistic Deep Learning Approach	4
Principal Component Analysis for Gaussian Process Posteriors	4
Single Circuit in V1 Capable of Switching Contexts During Movement Using an Inhibitory Population as a Switch	4
Body Mechanics, Optimality, and Sensory Feedback in the Human Control of Complex Objects	4
Direction Matters: On Influence-Preserving Graph Summarization and Max-Cut Principle for Directed Graphs	4
A Double-Layer Multi-Resolution Classification Model for Decoding Spatiotemporal Patterns of Spikes With Small Sample Size	4