A neuronal algorithm for metacognitive monitoring of conflicting actions

Bidragets beskrivning

Imagine stopping just in time to avoid being hit by a car. After almost being hit, we act more carefully in the future. The brain must have neurons to detect these situations and adjust action policy. fMRI studies show that the anterior cingulate cortex (ACC) detects these situations by monitoring for the simultaneous activation of opposing actions (like stopping yourself from walking in front of a car). While it is known that the ACC becomes active in these situations, the calculation performed by ACC neurons to quantify conflict is unknown. Here, we record spiking of single ACC neurons and motor cortex neurons and use mathematical modeling to uncover the computation or “neuronal algorithm” underlying our ability to detect and adjust our behavior.
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Startår

2025

Slutår

2029

Beviljade finansiering

Nelson Totah Orcid -palvelun logo
593 976 €

Finansiär

Finlands Akademi

Typ av finansiering

Akademiprojekt

Beslutfattare

Forskningsrådet för biovetenskap, hälsa och miljö
16.06.2025

Övriga uppgifter

Finansieringsbeslutets nummer

371486

Vetenskapsområden

Neurovetenskaper

Forskningsområden

Systeeminen ja kognitiivinen neurotiede

Identifierade teman

autonomous systems, automated driving