Convergence of distinct subpopulations of mechanosensory neurons onto a neural circuit that elicits grooming
Hampel, S.; Eichler, K.; Yamada, D.; Kim, H.; Horigome, M.; Franconville, R.; Bock, D. D.; Kamikouchi, A.; Seeds, A. M.
Show abstract
Diverse subpopulations of mechanosensory neurons detect different mechanical forces and influence behavior. How these subpopulations connect with central circuits to influence behavior remains an important area of study. We previously discovered a neural circuit that elicits grooming of the Drosophila melanogaster antennae that is activated by an antennal mechanosensory chordotonal organ, the Johnstons organ (JO) (Hampel et al., 2015). Here, we describe anatomically and physiologically distinct JO mechanosensory neuron subpopulations and define how they interface with the circuit that elicits antennal grooming. We show that the subpopulations project to distinct zones in the brain and differ in their responses to mechanical stimulation of the antennae. Each subpopulation elicits grooming through direct synaptic connections with a single interneuron in the circuit, the dendrites of which span the different mechanosensory afferent projection zones. Thus, distinct JO subpopulations converge onto the same neural circuit to elicit a common behavioral response.
Matching journals
The top 1 journal accounts for 50% of the predicted probability mass.
Similar papers in this journal
Similar papers in this journal
Similar papers in this journal
- Rewarding capacity of optogenetically activating a giant GABAergic central-brain interneuron in larval Drosophila 97%
- Pairing-dependent plasticity in a dissected fly brain is input-specific and requires synaptic CaMKII enrichment and nighttime sleep 95%
- Structural and functional synaptic plasticity induced by convergent synapse loss requires co-innervation in the Drosophila neuromuscular circuit 95%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.