@inproceedings{587cb8f31e3e4cd7b20566aa001b2ef6,
title = "A model of non-elemental associative learning in the mushroom body neuropil of the insect brain",
abstract = "We developed a computational model of the mushroom body (MB), a prominent region of multimodal integration in the insect brain, and tested the model's performance for non-elemental associative learning in visual pattern avoidance tasks. We employ a realistic spiking neuron model and spike time dependent plasticity, and learning performance is investigated in closed-loop conditions. We show that the distinctive neuroarchitecture (divergence onto MB neurons and convergence from MB neurons, with an otherwise non-specific connectivity) is sufficient for solving non-elemental learning tasks and thus modulating underlying reflexes in context- dependent, heterarchical manner.",
keywords = "OLFACTORY SYSTEM, BODIES, COCKROACH, ORGANIZATION, PLASTICITY, HONEYBEE",
author = "Jan Wessnitzer and Barbara Webb and Darren Smith",
year = "2007",
doi = "10.1007/978-3-540-71618-1_54",
language = "English",
isbn = "978-3-540-71589-4",
series = "LECTURE NOTES IN COMPUTER SCIENCE",
publisher = "Springer-Verlag Berlin Heidelberg",
pages = "488--497",
editor = "B Beliczynski and A Dzielinski and M Iwanowski and B Ribeiro",
booktitle = "Adaptive and Natural Computing Algorithms",
note = "8th International Conference on Adaptive and Natural Computing Algorithms (ICANNGA) ; Conference date: 11-04-2007 Through 14-04-2007",
}