Recurrent architecture for adaptive regulation of learning in the insect brain.
Nat Neurosci
; 23(4): 544-555, 2020 04.
Article
en En
| MEDLINE
| ID: mdl-32203499
ABSTRACT
Dopaminergic neurons (DANs) drive learning across the animal kingdom, but the upstream circuits that regulate their activity and thereby learning remain poorly understood. We provide a synaptic-resolution connectome of the circuitry upstream of all DANs in a learning center, the mushroom body of Drosophila larva. We discover afferent sensory pathways and a large population of neurons that provide feedback from mushroom body output neurons and link distinct memory systems (aversive and appetitive). We combine this with functional studies of DANs and their presynaptic partners and with comprehensive circuit modeling. We find that DANs compare convergent feedback from aversive and appetitive systems, which enables the computation of integrated predictions that may improve future learning. Computational modeling reveals that the discovered feedback motifs increase model flexibility and performance on learning tasks. Our study provides the most detailed view to date of biological circuit motifs that support associative learning.
Texto completo:
1
Colección:
01-internacional
Banco de datos:
MEDLINE
Asunto principal:
Cuerpos Pedunculados
/
Aprendizaje
/
Memoria
Tipo de estudio:
Prognostic_studies
Límite:
Animals
Idioma:
En
Revista:
Nat Neurosci
Asunto de la revista:
NEUROLOGIA
Año:
2020
Tipo del documento:
Article
País de afiliación:
Estados Unidos