A Model for the Study of the Increase in Stimulus and Change Point Detection with Small and Variable Spiking Delays

DOI10.1162/neco_a_01285zbMath1450.92007OpenAlexW3027881242WikidataQ95324721 ScholiaQ95324721MaRDI QIDQ5131147

Gaby Schneider, Benjamin Straub

Publication date: 2 November 2020

Published in: Neural Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1162/neco_a_01285

Mathematics Subject Classification ID

Neural networks for/in biological studies, artificial life and related topics (92B20)

Uses Software

• BayesDA

Cites Work

• Encoding stimulus information by spike numbers and mean response time in primary auditory cortex
• An introduction to the theory of point processes
• Bayesian Online Learning of the Hazard Rate in Change-Point Problems
• Spatiotemporal Structure in Large Neuronal Networks Detected from Cross-Correlation
• Generalised shot noise Cox processes
• A survey on unsupervised outlier detection in high‐dimensional numerical data
• Messages of Oscillatory Correlograms: A Spike Train Model
• Machine learning for audio, image and video analysis. Theory and applications
• Unnamed Item

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