paper-with-me

홈 › Papers

“Congruent” and “Opposite” Neurons: Sisters for Multisensory Integration and Segregation

2016-12-01 · NeurIPS 2016 12 · Wen-Hao Zhang, He Wang, K. Y. Michael Wong, Si Wu

Experiments reveal that in the dorsal medial superior temporal (MSTd) and the ventral intraparietal (VIP) areas, where visual and vestibular cues are integrated to infer heading direction, there are two types of neurons with roughly the same number. One is “congruent” cells, whose preferred heading directions are similar in response to visual and vestibular cues; and the other is “opposite” cells, whose preferred heading directions are nearly “opposite” (with an offset of 180 degree) in response to visual vs. vestibular cues. Congruent neurons are known to be responsible for cue integration, but the computational role of opposite neurons remains largely unknown. Here, we propose that opposite neurons may serve to encode the disparity information between cues necessary for multisensory segregation. We build a computational model composed of two reciprocally coupled modules, MSTd and VIP, and each module consists of groups of congruent and opposite neurons. In the model, congruent neurons in two modules are reciprocally connected with each other in the congruent manner, whereas opposite neurons are reciprocally connected in the opposite manner. Mimicking the experimental protocol, our model reproduces the characteristics of congruent and opposite neurons, and demonstrates that in each module, the sisters of congruent and opposite neurons can jointly achieve optimal multisensory information integration and segregation. This study sheds light on our understanding of how the brain implements optimal multisensory integration and segregation concurrently in a distributed manner.

📄 PDF Abstract BibTeX

Code (0)

등록된 구현이 없습니다.

Similar Papers 제목 키워드 기반

Temporal and Semantic Effects on Multisensory Integration

2016-06-15

How do we integrate modality-specific perceptual information arising from the same physical event into a coherent percept? One possibility is that observers rely on information across perceptual modalities that shares te…

Assessing the Contribution of Semantic Congruency to Multisensory Integration and Conflict Resolution

2018-10-15 · Di Fu, Pablo Barros, German I. Parisi, Haiyan Wu 외

The efficient integration of multisensory observations is a key property of the brain that yields the robust interaction with the environment. However, artificial multisensory perception remains an open issue especially …

Conductance-based dendrites perform reliability-weighted opinion pooling

2020-06-26

Cue integration, the combination of different sources of information to reduce uncertainty, is a fundamental computational principle of brain function. Starting from a normative model we show that the dynamics of multi-c…

Multisensory Encoding, Decoding, and Identification

2013-12-01 · NeurIPS 2013 12 · Aurel A. Lazar, Yevgeniy Slutskiy

We investigate a spiking neuron model of multisensory integration. Multiple stimuli from different sensory modalities are encoded by a single neural circuit comprised of a multisensory bank of receptive fields in cascade…

A Normative Theory for Causal Inference and Bayes Factor Computation in Neural Circuits

2019-12-01 · NeurIPS 2019 12 · Wenhao Zhang, Si Wu, Brent Doiron, Tai Sing Lee

This study provides a normative theory for how Bayesian causal inference can be implemented in neural circuits. In both cognitive processes such as causal reasoning and perceptual inference such as cue integration, the n…

Causal InferenceModel Selection