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Updated: Jun 20, 2025

Author Spotlight: Deciphering Memory and Learning Through Neural Implants for Multi-Region Brain Studies
Published on: April 26, 2024
A multi-region recurrent circuit for evidence accumulation in rats
Diksha Gupta1,2, Charles D Kopec1, Adrian G Bondy1
1Princeton Neuroscience Institute, Princeton University, Princeton NJ, USA.
None:
Decision-making based on noisy evidence requires accumulating evidence and categorizing it to form a choice. Here we evaluate a proposed feedforward and modular mapping of this process in rats: evidence accumulated in anterodorsal striatum (ADS) is categorized in prefrontal cortex (frontal orienting fields, FOF). Contrary to this, we show that both regions appear to be indistinguishable in their encoding/decoding of accumulator value and communicate this information bidirectionally. Consistent with a role for FOF in accumulation, silencing FOF to ADS projections impacted behavior throughout the accumulation period, even while nonselective FOF silencing did not. We synthesize these findings into a multi-region recurrent neural network trained with a novel approach. In-silico experiments reveal that multiple scales of recurrence in the cortico-striatal circuit rescue computation upon nonselective FOF perturbations. These results suggest that ADS and FOF accumulate evidence in a recurrent and distributed manner, yielding redundant representations and robustness to certain perturbations.
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