Analysis of fast calcium dynamics of honey bee olfactory coding DOI Creative Commons
Marco Paoli, Antoine Wystrach,

Brice Ronsin

et al.

eLife, Journal Year: 2024, Volume and Issue: 13

Published: Feb. 15, 2024

Odour processing exhibits multiple parallels between vertebrate and invertebrate olfactory systems. Insects, in particular, have emerged as relevant models for studies because of the tractability their circuits. Here, we used fast calcium imaging to track activity projection neurons honey bee antennal lobe (AL) during stimulation at high temporal resolution. We observed a heterogeneity response profiles an abundance inhibitory activities, resulting various latencies stimulus-specific post-odour neural signatures. Recorded signals were fed mushroom body (MB) model constructed implementing fundamental features connectivity neurons, Kenyon cells (KC), MB output (MBON). The accounts increase odorant discrimination compared AL reveals recruitment two distinct KC populations that represent odorants aftersmell separate but temporally coherent objects. Finally, showed learning-induced modulation KC-to-MBON synapses can explain both variations associative learning scores across different conditioning protocols bees bees' latency. Thus, it provides simple explanation how time contingency stimulus reward be encoded without need tracking. This study broadens our understanding coding bees. It demonstrates based on rules with real physiological data aspects odour learning.

Language: Английский

In Vivo Two-Photon Imaging of the Olfactory System in Insects DOI
Marco Paoli, Albrecht Haase

Methods in molecular biology, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 48

Published: Jan. 1, 2025

Language: Английский

Citations

0

Analysis of fast calcium dynamics of honey bee olfactory coding DOI Creative Commons
Marco Paoli, Antoine Wystrach,

Brice Ronsin

et al.

eLife, Journal Year: 2024, Volume and Issue: 13

Published: Feb. 15, 2024

Odour processing exhibits multiple parallels between vertebrate and invertebrate olfactory systems. Insects, in particular, have emerged as relevant models for studies because of the tractability their circuits. Here, we used fast calcium imaging to track activity projection neurons honey bee antennal lobe (AL) during stimulation at high temporal resolution. We observed a heterogeneity response profiles an abundance inhibitory activities, resulting various latencies stimulus-specific post-odour neural signatures. Recorded signals were fed mushroom body (MB) model constructed implementing fundamental features connectivity neurons, Kenyon cells (KC), MB output (MBON). The accounts increase odorant discrimination compared AL reveals recruitment two distinct KC populations that represent odorants aftersmell separate but temporally coherent objects. Finally, showed learning-induced modulation KC-to-MBON synapses can explain both variations associative learning scores across different conditioning protocols bees bees' latency. Thus, it provides simple explanation how time contingency stimulus reward be encoded without need tracking. This study broadens our understanding coding bees. It demonstrates based on rules with real physiological data aspects odour learning.

Language: Английский

Citations

2