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Neural Circuit with Top-Down Inhibitory Feedback Outperforms Optimal Bayesian Integration in Multisensory
Yelin Dong1,2, Hongzhi You3, Yuxiu Shao4
1School of Systems Science and State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, 100875, China.
Neuroscience Bulletin
|November 9, 2025
Summary
Recurrent neural networks can explain how the brain integrates multiple senses, showing that feedback projections can either improve or hinder optimal Bayesian integration (OBI) performance. This challenges the view of independent sensory processing.
Area of Science:
- Computational neuroscience
- Cognitive science
- Neuroscience
Background:
- Bayesian integration is a key theory for multisensory integration.
- Feedforward neural networks were thought to model optimal Bayesian integration (OBI).
- Neural feedback projections are common, but their role in multisensory OBI is unclear.
Purpose of the Study:
- To investigate how recurrent neural networks with feedback projections contribute to multisensory optimal Bayesian integration (OBI).
- To explore the impact of feedforward-feedback interplay on multisensory integration performance.
- To understand the role of non-linear neuronal interactions in mediating integration behaviors.
Main Methods:
- Simulated a two-layer neural circuit model with reciprocal projections.
- The model performed a perceptual discrimination task with single or dual sensory modalities.
- Analyzed model performance relative to OBI under varying feedforward-feedback interactions.
Main Results:
- Recurrent models can match, underperform, or outperform OBI, depending on the feedforward-feedback balance.
- Model performance variability aligns with existing experimental findings.
- Non-linear interactions within neuronal assemblies are crucial for mediating integration behaviors.
Conclusions:
- Recurrent neural networks offer a viable framework for understanding multisensory integration.
- Top-down feedback can entangle sensory modalities, challenging traditional views of independence.
- The interplay between feedback and feedforward projections explains deviations from OBI.
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