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Updated: Jan 24, 2026

Revealing Neural Circuit Topography in Multi-Color
Published on: November 14, 2011
A multi-region recurrent circuit for evidence accumulation in rats
Diksha Gupta1, Charles D Kopec1, Adrian G Bondy1
1Princeton Neuroscience Institute, Princeton University, Princeton, NJ, USA.
Abstract:
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 the anterior dorsal striatum (ADS) is categorized in the prefrontal cortex (frontal orienting fields or 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 the FOF in accumulation, silencing FOF to ADS projections impacted behavior throughout the accumulation period, 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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