OOIR: Observatory of International Research

Papers

(The TQCC of Neural Computation is 6. 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 2020-05-01 to 2024-05-01.)

Article	Citations
A Survey on Deep Learning for Multimodal Data Fusion	267
The Remarkable Robustness of Surrogate Gradient Learning for Instilling Complex Function in Spiking Neural Networks	90
Deeply Felt Affect: The Emergence of Valence in Deep Active Inference	83
Active Inference: Demystified and Compared	77
Sophisticated Inference	65
Parametric UMAP Embeddings for Representation and Semisupervised Learning	60
Shaping Dynamics With Multiple Populations in Low-Rank Recurrent Networks	45
Large Language Models and the Reverse Turing Test	36
Whence the Expected Free Energy?	30
Classification of Autism Spectrum Disorder From EEG-Based Functional Brain Connectivity Analysis	29
A Mean-Field Description of Bursting Dynamics in Spiking Neural Networks with Short-Term Adaptation	29
Replay in Deep Learning: Current Approaches and Missing Biological Elements	28
Conductance-Based Adaptive Exponential Integrate-and-Fire Model	25
The Effect of Class Imbalance on Precision-Recall Curves	24
Advancements in Algorithms and Neuromorphic Hardware for Spiking Neural Networks	24
Artificial Neural Variability for Deep Learning: On Overfitting, Noise Memorization, and Catastrophic Forgetting	24
Deep Network With Approximation Error Being Reciprocal of Width to Power of Square Root of Depth	22
How to Represent Part-Whole Hierarchies in a Neural Network	22
Predictive Processing in Cognitive Robotics: A Review	21
Predictive Coding Approximates Backprop Along Arbitrary Computation Graphs	19
On a Scalable Entropic Breaching of the Overfitting Barrier for Small Data Problems in Machine Learning	19
Implicit Regularization and Momentum Algorithms in Nonlinearly Parameterized Adaptive Control and Prediction	18
A Normative Account of Confirmation Bias During Reinforcement Learning	18
Learning in Volatile Environments With the Bayes Factor Surprise	18
Bridging M/EEG Source Imaging and Independent Component Analysis Frameworks Using Biologically Inspired Sparsity Priors	17

Predictive Coding, Variational Autoencoders, and Biological Connections	17
Flexible Working Memory Through Selective Gating and Attentional Tagging	16
Resonator Networks, 1: An Efficient Solution for Factoring High-Dimensional, Distributed Representations of Data Structures	16
Nonequilibrium Statistical Mechanics of Continuous Attractors	15
Might a Single Neuron Solve Interesting Machine Learning Problems Through Successive Computations on Its Dendritic Tree?	14
Nonlinear Decoding of Natural Images From Large-Scale Primate Retinal Ganglion Recordings	14
Resonator Networks, 2: Factorization Performance and Capacity Compared to Optimization-Based Methods	13
Integration of Leaky-Integrate-and-Fire Neurons in Standard Machine Learning Architectures to Generate Hybrid Networks: A Surrogate Gradient Approach	13
Passive Nonlinear Dendritic Interactions as a Computational Resource in Spiking Neural Networks	13
ReLU Networks Are Universal Approximators via Piecewise Linear or Constant Functions	13
Recurrent Connections in the Primate Ventral Visual Stream Mediate a Trade-Off Between Task Performance and Network Size During Core Object Recognition	12
Efficient Position Decoding Methods Based on Fluorescence Calcium Imaging in the Mouse Hippocampus	12
The Discriminative Kalman Filter for Bayesian Filtering with Nonlinear and Nongaussian Observation Models	12
Fast and Accurate Langevin Simulations of Stochastic Hodgkin-Huxley Dynamics	11
Parameter Estimation in Multiple Dynamic Synaptic Coupling Model Using Bayesian Point Process State-Space Modeling Framework	11
A Discrete-Time Neurodynamic Approach to Sparsity-Constrained Nonnegative Matrix Factorization	11
Any Target Function Exists in a Neighborhood of Any Sufficiently Wide Random Network: A Geometrical Perspective	11
A Correspondence Between Normalization Strategies in Artificial and Biological Neural Networks	11
Synchrony and Complexity in State-Related EEG Networks: An Application of Spectral Graph Theory	11
Least kth-Order and Rényi Generative Adversarial Networks	10
Stimulus-Driven and Spontaneous Dynamics in Excitatory-Inhibitory Recurrent Neural Networks for Sequence Representation	10
Few-Shot Learning in Spiking Neural Networks by Multi-Timescale Optimization	10
Effect of Top-Down Connections in Hierarchical Sparse Coding	10
Assessing Goodness-of-Fit in Marked Point Process Models of Neural Population Coding via Time and Rate Rescaling	10
Classification From Pairwise Similarities/Dissimilarities and Unlabeled Data via Empirical Risk Minimization	10
A Predictive Processing Model of Episodic Memory and Time Perception	10
NMDA Receptor Alterations After Mild Traumatic Brain Injury Induce Deficits in Memory Acquisition and Recall	10
Modal Principal Component Analysis	9
Inference of a Mesoscopic Population Model from Population Spike Trains	9
Real-Time Decoding of Attentional States Using Closed-Loop EEG Neurofeedback	9
Feelings Are the Source of Consciousness	9
Modern Artificial Neural Networks: Is Evolution Cleverer?	9
Simulating and Predicting Dynamical Systems With Spatial Semantic Pointers	9
Adaptive Learning Neural Network Method for Solving Time–Fractional Diffusion Equations	9
Skip-Connected Self-Recurrent Spiking Neural Networks With Joint Intrinsic Parameter and Synaptic Weight Training	8
Body Mechanics, Optimality, and Sensory Feedback in the Human Control of Complex Objects	8
Salient Slices: Improved Neural Network Training and Performance with Image Entropy	8
Dynamic Spatiotemporal Pattern Recognition with Recurrent Spiking Neural Network	8
Reverse-Engineering Neural Networks to Characterize Their Cost Functions	8
eSPA+: Scalable Entropy-Optimal Machine Learning Classification for Small Data Problems	8
A Generalization of Spatial Monte Carlo Integration	7
Binless Kernel Machine: Modeling Spike Train Transformation for Cognitive Neural Prostheses	7
A Biologically Plausible Neural Network for Multichannel Canonical Correlation Analysis	7
The Refractory Period Matters: Unifying Mechanisms of Macroscopic Brain Waves	7
Flexible Frequency Switching in Adult Mouse Visual Cortex Is Mediated by Competition Between Parvalbumin and Somatostatin Expressing Interneurons	7
Nonconvex Sparse Regularization for Deep Neural Networks and Its Optimality	6
Minimal Spiking Neuron for Solving Multilabel Classification Tasks	6
Realizing Active Inference in Variational Message Passing: The Outcome-Blind Certainty Seeker	6
Modeling the Ventral and Dorsal Cortical Visual Pathways Using Artificial Neural Networks	6
Role of Interaction Delays in the Synchronization of Inhibitory Networks	6

Probing the Relationship Between Latent Linear Dynamical Systems and Low-Rank Recurrent Neural Network Models	6
Equivalence Projective Simulation as a Framework for Modeling Formation of Stimulus Equivalence Classes	6
TARA: Training and Representation Alteration for AI Fairness and Domain Generalization	6
Training Spiking Neural Networks in the Strong Coupling Regime	6
Temporal Variabilities Provide Additional Category-Related Information in Object Category Decoding: A Systematic Comparison of Informative EEG Features	6
The Stochastic Delta Rule: Faster and More Accurate Deep Learning Through Adaptive Weight Noise	6
A Neural Model for Insect Steering Applied to Olfaction and Path Integration	6
Reduced-Dimension, Biophysical Neuron Models Constructed From Observed Data	6
A Cerebellar Computational Mechanism for Delay Conditioning at Precise Time Intervals	6
Robust Stability Analysis of Delayed Stochastic Neural Networks via Wirtinger-Based Integral Inequality	6
A Model of Semantic Completion in Generative Episodic Memory	6
Heterogeneous Synaptic Weighting Improves Neural Coding in the Presence of Common Noise	6