Anterior cingulate cortex provides the neural substrates for feedback-driven iteration of decision and value...

Area of Science:

• Neuroscience
• Cognitive Science
• Computational Neuroscience

Background:

• Decision-making under uncertainty requires adapting strategies based on feedback.
• The anterior cingulate cortex (ACC) is implicated in processing error and reward signals that guide behavioral adaptation.
• The precise neural mechanisms by which the ACC encodes stimulus-action mapping changes and drives decision adaptation remain unclear.

Purpose of the Study:

• To investigate how anterior cingulate cortex (ACC) neural activity encodes dynamic stimulus-action contingencies during behavioral adaptation.
• To elucidate the role of ACC neuronal computations in driving adaptive decision-making strategies.
• To understand the feedback-driven updating system within the ACC that facilitates appropriate decision switches.

Main Methods:

• Tracking single-unit activity in the ACC of male mice performing go/no-go auditory discrimination tasks.
• Manipulating stimulus-reward contingencies to induce behavioral adaptation.
• Utilizing optogenetic suppression of ACC activity to assess its causal role in decision switching.

Main Results:

• Individual ACC neurons were found to integrate outcome information, updating value representations for subsequent trials.
• Dynamic recruitment of ACC neurons determined the learning rate for error-guided value iteration and decision adaptation.
• Optogenetic suppression of the ACC significantly impaired feedback-driven decision switching, while established strategy execution remained unaffected.

Conclusions:

• The ACC functions as a non-linear, feedback-driven updating system crucial for adaptive decision-making.
• ACC neuronal ensembles dynamically encode learning rates and facilitate appropriate strategy switching in response to changing environmental contingencies.
• The ACC plays a causal role in feedback-driven decision adaptation, essential for navigating uncertain and dynamic situations.