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 2020-11-01 to 2024-11-01.)

Article	Citations
The Remarkable Robustness of Surrogate Gradient Learning for Instilling Complex Function in Spiking Neural Networks	106
Deeply Felt Affect: The Emergence of Valence in Deep Active Inference	93
Active Inference: Demystified and Compared	89
Sophisticated Inference	69
Parametric UMAP Embeddings for Representation and Semisupervised Learning	67
Large Language Models and the Reverse Turing Test	55
Shaping Dynamics With Multiple Populations in Low-Rank Recurrent Networks	49
Replay in Deep Learning: Current Approaches and Missing Biological Elements	38
Whence the Expected Free Energy?	32
How to Represent Part-Whole Hierarchies in a Neural Network	32
Classification of Autism Spectrum Disorder From EEG-Based Functional Brain Connectivity Analysis	31
Advancements in Algorithms and Neuromorphic Hardware for Spiking Neural Networks	31
Conductance-Based Adaptive Exponential Integrate-and-Fire Model	28
The Effect of Class Imbalance on Precision-Recall Curves	27
Predictive Processing in Cognitive Robotics: A Review	27
Artificial Neural Variability for Deep Learning: On Overfitting, Noise Memorization, and Catastrophic Forgetting	26
Resonator Networks, 1: An Efficient Solution for Factoring High-Dimensional, Distributed Representations of Data Structures	24
Deep Network With Approximation Error Being Reciprocal of Width to Power of Square Root of Depth	24
A Normative Account of Confirmation Bias During Reinforcement Learning	21
Implicit Regularization and Momentum Algorithms in Nonlinearly Parameterized Adaptive Control and Prediction	21
Predictive Coding Approximates Backprop Along Arbitrary Computation Graphs	20
Predictive Coding, Variational Autoencoders, and Biological Connections	20
Bridging M/EEG Source Imaging and Independent Component Analysis Frameworks Using Biologically Inspired Sparsity Priors	20
Flexible Working Memory Through Selective Gating and Attentional Tagging	18
Nonlinear Decoding of Natural Images From Large-Scale Primate Retinal Ganglion Recordings	18

Might a Single Neuron Solve Interesting Machine Learning Problems Through Successive Computations on Its Dendritic Tree?	18
Learning in Volatile Environments With the Bayes Factor Surprise	18
Resonator Networks, 2: Factorization Performance and Capacity Compared to Optimization-Based Methods	18
Feelings Are the Source of Consciousness	16
ReLU Networks Are Universal Approximators via Piecewise Linear or Constant Functions	16
Recurrent Connections in the Primate Ventral Visual Stream Mediate a Trade-Off Between Task Performance and Network Size During Core Object Recognition	15
A Correspondence Between Normalization Strategies in Artificial and Biological Neural Networks	13
Body Mechanics, Optimality, and Sensory Feedback in the Human Control of Complex Objects	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
Stimulus-Driven and Spontaneous Dynamics in Excitatory-Inhibitory Recurrent Neural Networks for Sequence Representation	12
Synchrony and Complexity in State-Related EEG Networks: An Application of Spectral Graph Theory	12
Probing the Relationship Between Latent Linear Dynamical Systems and Low-Rank Recurrent Neural Network Models	12
Few-Shot Learning in Spiking Neural Networks by Multi-Timescale Optimization	12
Parameter Estimation in Multiple Dynamic Synaptic Coupling Model Using Bayesian Point Process State-Space Modeling Framework	12
Reverse-Engineering Neural Networks to Characterize Their Cost Functions	11
eSPA+: Scalable Entropy-Optimal Machine Learning Classification for Small Data Problems	11
Simulating and Predicting Dynamical Systems With Spatial Semantic Pointers	11
Using Global t-SNE to Preserve Intercluster Data Structure	11
Least kth-Order and Rényi Generative Adversarial Networks	11
A Predictive Processing Model of Episodic Memory and Time Perception	11
A Model of Semantic Completion in Generative Episodic Memory	11
Reward Maximization Through Discrete Active Inference	10
Modern Artificial Neural Networks: Is Evolution Cleverer?	10
Classification From Pairwise Similarities/Dissimilarities and Unlabeled Data via Empirical Risk Minimization	10
Adaptive Learning Neural Network Method for Solving Time–Fractional Diffusion Equations	10
NMDA Receptor Alterations After Mild Traumatic Brain Injury Induce Deficits in Memory Acquisition and Recall	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
Skip-Connected Self-Recurrent Spiking Neural Networks With Joint Intrinsic Parameter and Synaptic Weight Training	9
Real-Time Decoding of Attentional States Using Closed-Loop EEG Neurofeedback	9
A Neural Model for Insect Steering Applied to Olfaction and Path Integration	8
Temporal Variabilities Provide Additional Category-Related Information in Object Category Decoding: A Systematic Comparison of Informative EEG Features	8
Flexible Frequency Switching in Adult Mouse Visual Cortex Is Mediated by Competition Between Parvalbumin and Somatostatin Expressing Interneurons	8
Robust Stability Analysis of Delayed Stochastic Neural Networks via Wirtinger-Based Integral Inequality	8
Modeling the Ventral and Dorsal Cortical Visual Pathways Using Artificial Neural Networks	8
The Refractory Period Matters: Unifying Mechanisms of Macroscopic Brain Waves	8
TARA: Training and Representation Alteration for AI Fairness and Domain Generalization	8
A Biologically Plausible Neural Network for Multichannel Canonical Correlation Analysis	8
A Generalization of Spatial Monte Carlo Integration	7
Role of Interaction Delays in the Synchronization of Inhibitory Networks	7
Detecting Scene-Plausible Perceptible Backdoors in Trained DNNs Without Access to the Training Set	7
A Computational Study on Synaptic Plasticity Regulation and Information Processing in Neuron-Astrocyte Networks	7
Reduced-Dimension, Biophysical Neuron Models Constructed From Observed Data	7
Dynamic Spatiotemporal Pattern Recognition with Recurrent Spiking Neural Network	7
Deep Learning Solution of the Eigenvalue Problem for Differential Operators	6
A Cerebellar Computational Mechanism for Delay Conditioning at Precise Time Intervals	6
Parameter Identification Problem in the Hodgkin-Huxley Model	6
Decoding Pixel-Level Image Features From Two-Photon Calcium Signals of Macaque Visual Cortex	6
Nonconvex Sparse Regularization for Deep Neural Networks and Its Optimality	6

Realizing Active Inference in Variational Message Passing: The Outcome-Blind Certainty Seeker	6
A Simple Model of Nonspiking Neurons	6
Simple Convolutional-Based Models: Are They Learning the Task or the Data?	6
Training Spiking Neural Networks in the Strong Coupling Regime	6
Bridging the Gap Between Neurons and Cognition Through Assemblies of Neurons	6
Efficient Decoding of Compositional Structure in Holistic Representations	5
Emergence of Content-Agnostic Information Processing by a Robot Using Active Inference, Visual Attention, Working Memory, and Planning	5
A Double-Layer Multi-Resolution Classification Model for Decoding Spatiotemporal Patterns of Spikes With Small Sample Size	5
NetPyNE Implementation and Scaling of the Potjans-Diesmann Cortical Microcircuit Model	5
Power Function Error Initialization Can Improve Convergence of Backpropagation Learning in Neural Networks for Classification	5
Hypothesis Test and Confidence Analysis With Wasserstein Distance on General Dimension	5
On the Achievability of Blind Source Separation for High-Dimensional Nonlinear Source Mixtures	5
Principal Component Analysis for Gaussian Process Posteriors	5
Unsupervised Discovery, Control, and Disentanglement of Semantic Attributes With Applications to Anomaly Detection	5
Predicting the Ease of Human Category Learning Using Radial Basis Function Networks	5
Understanding the Computational Demands Underlying Visual Reasoning	5
Reinforcement Learning in Sparse-Reward Environments With Hindsight Policy Gradients	5
Closed-Loop Deep Learning: Generating Forward Models With Backpropagation	5
New Insights Into Learning With Correntropy-Based Regression	5