By manipulating the intrinsic physiology of DAN-f1 and DAN-g1 and altering the valence of gustatory input, this work is beginning to understand at the single-cell level how dopaminergic activity is systematically adjusted to control memory formation.
Abstract
Animals can adapt their behavioral responses to environmental cues by learning from experience. This ability relies on the formation and recall of memories that are shaped by beneficial or detrimental consequences and regulated by the dopaminergic system, which is highly conserved across insect species. In the Drosophila melanogaster larva, eight of total ∼120 dopaminergic neurons (DANs) innervate the mushroom body (MB), a key center for associative memory. This subset of DANs can be anatomically grouped into two clusters of four cells: the primary protocerebral anterior medial (pPAM) cluster, associated with reward signaling, and the dorsolateral 1 (DL1) cluster, associated with punishment. Such a functional dichotomy is observed in larval and adult Drosophila and reflects a fundamental organizational principle of reinforcement learning across invertebrate and even vertebrate species. Aversive reinforcement through high-salt exposure is encoded within the DL1 cluster in a combinatorial and heterogeneous manner, critically involving two neurons, DAN-f1 and DAN-g1. Using temporally precise optogenetic activation and inhibition during olfactory conditioning, we show that these neurons can modulate memory strength and valence. Their effects are most often consistent and predictable, enabling accurate computational modeling of DAN-driven teaching signals. By manipulating the intrinsic physiology of DAN-f1 and DAN-g1 and altering the valence of gustatory input, we are beginning to understand at the single-cell level how dopaminergic activity is systematically adjusted to control memory formation.
This Review examines the behavioural roles, response properties and local and long-range circuitry of the rodent vHPC and considers how its computations are distributed across projection-defined neuronal subpopulations, allowing the vHPC to support flexible behaviour across affective and motivational domains.
Jeremy S. Biane, J. Wagner-Carena, M. Kheirbek· Nature Reviews Neuroscience· 0 citations
Flexible behavior depends on neural mechanisms that integrate memory with ongoing motivational demands. Studies have revealed dopamine (DA) to have an essential role in mediating memory, behavioral flexibility, and decision-making, yet the dopaminergic contributions within prefrontal-hippocampal circuits remain poorly...
Albit Caban-Murillo, Michelle Surets, Celine Chien et al.· Current Biology· 0 citations
Learning and memory depend on plasticity within neural circuits, but the extent to which the underlying architecture of memory networks is stereotyped or structured remains unclear. Random connectivity may maximise stimulus discrimination, whereas structured connectivity could preferentially route behaviourally relevan...
M. W. Pleijzier, P. Schlegel, L. Capdevila et al.· bioRxiv· 0 citations
Bilaterian animals must integrate sensory input from both sides of their bodies to make coherent perceptual decisions. In Drosophila larvae, olfactory receptor neurons target the ipsilateral brain hemisphere. Using calcium imaging, unilateral sensory perturbations, connectome analysis, and optogenetics, we identified t...
David M. Zimmerman, B. de Bivort, A. Samuel· Science Advances· 0 citations
Drosophila melanogaster is a powerful model organism to understand the neural and molecular mechanisms underlying learning and memory. However, memory is usually studied by assessing choice behavior at only one point in time in Drosophila, which limits our understanding of how flies respond to a learned cue. We develop...
Samantha Stea, Tariq M. Brown, Rebecca Oramas et al.· Journal of Experimental Biol...· 0 citations
Observations support a view of BTSP as a multi-factor plasticity rule that links synaptic, circuit, and systems-level processes, providing a biologically grounded framework for understanding how the brain rapidly incorporates new information.
L. Wilmerding, Fox Gourianova, Christine Grienberger· Current Research in Neurobio...· 0 citations
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