Morphological reconstructions and electrophysiological recordings of vibration sensitive honeybee neurons belonging to two maturation levels

Dataset

Title Morphological reconstructions and electrophysiological recordings of vibration sensitive honeybee neurons belonging to two maturation levels
Authors Kumaraswamy Ajayrama, Ai Hiroyuki, Kazuki Kai, Hidetoshi Ikeno, Thomas Wachtler,
Description This repository contains processed electrophysiology and morphology data used for investigating adaptations in the vibration sensitive interneuron DL-Int-1 of the honeybee during maturation.
License Creative Commons CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/)
References Kumaraswamy A., Ai H., Kai K., Ikeno H., Wachtler T. (2019). Adaptations during maturation in an identified honeybee interneuron responsive to waggle dance vibration signals. In: eNeuro [in press]
Kumaraswamy A., Ai H., Kai K., Ikeno H., Wachtler T. (2018). Adaptations of honeybee auditory interneurons during maturation. In: bioRxiv [doi:10.1101/469502]
Funding Ministry of Education, Science, Technology, Sports, and Culture of Japan, Grant No. 22570079, 17K00414 and 18K160345
Japan Science and Technology Agency, Grant No. 15K14569
German Federal Ministry of Education and Research, Grant No. 01GQ1116
Central Research Institute of Fukuoka University, Grant No. 151031
Keywords Neuroscience
Electrophysiology
Morphology
Apis mellifera
waggle dance
Primary mechanosensory center
Dorsal lobe interneurons
Reg-MaxS-N
SIGEN
Maturation
Adaptations
Neo
Nix
OdML
Vaa3d
btmorph_v2
Data This dataset can be browsed online here or downloaded as a zip archive (844 MiB). The current version of the dataset repository, possibly with updates, can be found here.
DOI 10.12751/g-node.e70cb4
Citation This dataset can be cited as:
Kumaraswamy A, Ai H, Kazuki K, Hidetoshi I, Thomas W, (2019) Morphological reconstructions and electrophysiological recordings of vibration sensitive honeybee neurons belonging to two maturation levels. G-Node. doi:10.12751/g-node.e70cb4
Please also consider citing the material listed in the references
Resource Type Dataset