Scholar

Michael Spratling

Google Scholar ID: A2tJIE4AAAAJ

University of Luxembourg

Neural NetworksMachine LearningComputer VisionComputational NeuroscienceVisual Cognition

Citations & Impact

All-time

Citations

2,560

H-index

i10-index

Publications

Co-authors

list available

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Publications

1 items

2026

Cited

Resume (English only)

Background

Research interests span neural networks, computational neuroscience, computer vision, visual cognition, machine learning, and learning & development
Focuses on biologically-inspired neural networks, adversarial robustness, representation learning, and dynamic/deformable neural networks
In computational neuroscience, studies predictive coding, neural information processing, dendritic computation, cortical feedback, and inter-regional interactions
In computer vision, works on object recognition, viewpoint invariance, image segmentation, anomaly detection, and open-set recognition
Explores sparse coding, continual learning, few-shot learning, unsupervised/self-supervised learning, and related ML paradigms
Investigates cortical, behavioral, and cognitive development, perceptual learning, and epigenetic/developmental robotics

Co-authors

36 total