Feed-forward and noise-tolerant detection of feature homogeneity in spiking networks with a latency code

DOI10.1007/s00422-021-00866-wzbMath1467.92020arXiv1806.03881OpenAlexW3150266354MaRDI QIDQ2036848

Ad Aertsen, Rüdiger Kupper, Marc-Oliver Gewaltig, Michael Schmuker, Thomas Wachtler

Publication date: 30 June 2021

Published in: Biological Cybernetics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1806.03881

Mathematics Subject Classification ID

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

Uses Software

• NEST

Cites Work

• Unnamed Item
• Unnamed Item
• Encoding stimulus information by spike numbers and mean response time in primary auditory cortex
• Information filtering by coincidence detection of synchronous population output: analytical approaches to the coherence function of a two-stage neural system
• Rate Coding Versus Temporal Order Coding: What the Retinal Ganglion Cells Tell the Visual Cortex
• Introduction to Theoretical Neurobiology

This page was built for publication: Feed-forward and noise-tolerant detection of feature homogeneity in spiking networks with a latency code