A neural network model for familiarity and context learning during honeybee foraging flights

DOI10.1007/s00422-017-0732-zzbMath1400.92609OpenAlexW2756404775WikidataQ48335977 ScholiaQ48335977MaRDI QIDQ1799448

Martin P. Nawrot, Jurek Müller, Tim Landgraf, Randolf Menzel

Publication date: 18 October 2018

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

Full work available at URL: https://doi.org/10.1007/s00422-017-0732-z

zbMATH Keywords

learningplasticitymushroom bodyinsect navigationartificial agentinsect cognitionspiking neural network model

Mathematics Subject Classification ID

Neural networks for/in biological studies, artificial life and related topics (92B20) Animal behavior (92D50)

Uses Software

• ANNarchy

Cites Work

• Unnamed Item
• Unnamed Item
• Phenomenological models of synaptic plasticity based on spike timing
• Depth, contrast and view-based homing in outdoor scenes
• Self-organization in the olfactory system: one shot odor recognition in insects
• Learning Classification in the Olfactory System of Insects
• Comparing Measures of Sparsity
• Fast and Robust Learning by Reinforcement Signals: Explorations in the Insect Brain

This page was built for publication: A neural network model for familiarity and context learning during honeybee foraging flights