Learning Spatial Invariance with the Trace Rule in Nonuniform Distributions
From MaRDI portal
Publication:5378216
DOI10.1162/NECO_A_00435zbMath1448.92020OpenAlexW2124954342WikidataQ50755338 ScholiaQ50755338MaRDI QIDQ5378216
Jasmin Leveillé, Thomas Hannagan
Publication date: 12 June 2019
Published in: Neural Computation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1162/neco_a_00435
Applications of statistics to biology and medical sciences; meta analysis (62P10) Learning and adaptive systems in artificial intelligence (68T05) Neural networks for/in biological studies, artificial life and related topics (92B20)
Cites Work
- Unnamed Item
- Neocognition: A self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position
- A simplified neuron model as a principal component analyzer
- The world from a cat's perspective -- statistics of natural videos
- Invariant object recognition in the visual system with error correction and temporal difference learning
- Unsupervised Slow Subspace-Learning from Stationary Processes
- Slow Feature Analysis: Unsupervised Learning of Invariances
- Biophysiologically Plausible Implementations of the Maximum Operation
This page was built for publication: Learning Spatial Invariance with the Trace Rule in Nonuniform Distributions
