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Article Dans Une Revue (Article De Synthèse) Current Opinion in Neurobiology Année : 2023

Modulation of aversive value coding in the vertebrate and invertebrate brain

Résumé

Avoiding potentially dangerous situations is key for the survival of any organism. Throughout life, animals learn to avoid environments, stimuli or actions that can lead to bodily harm. While the neural bases for appetitive learning, evaluation and valuebased decision-making have received much attention, recent studies have revealed more complex computations for aversive signals during learning and decision-making than previously thought. Furthermore, previous experience, internal state and systems level appetitive-aversive interactions seem crucial for learning specific aversive value signals and making appropriate choices. The emergence of novel methodologies (computation analysis coupled with large-scale neuronal recordings, neuronal manipulations at unprecedented resolution offered by genetics, viral strategies and connectomics) has helped to provide novel circuit-based models for aversive (and appetitive) valuation. In this review, we focus on recent vertebrate and invertebrate studies yielding strong evidence that aversive value information can be computed by a multitude of interacting brain regions, and that past experience can modulate future aversive learning and therefore influence value-based decisions.
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Origine : Publication financée par une institution

Dates et versions

hal-04041140 , version 1 (22-03-2023)

Identifiants

Citer

Emmanuel Perisse, Magdalena Miranda, Stéphanie Trouche. Modulation of aversive value coding in the vertebrate and invertebrate brain. Current Opinion in Neurobiology, 2023, 79, pp.102696. ⟨10.1016/j.conb.2023.102696⟩. ⟨hal-04041140⟩
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