Resolving multisensory conflict: a strategy for balancing the costs and benefits of audio-visual integration.

Resolving multisensory conflict: a strategy for balancing the costs and benefits of audio-visual integration.
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DOI:
10.1098/rspb.2006.3578
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发表时间:
2006-09-07
期刊:
Proceedings. Biological sciences
影响因子:
--
通讯作者:
McGraw PV
McGraw PV
中科院分区:
其他
文献类型:
--
作者:
Roach NW;Heron J;McGraw PV

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为了保持对外部环境的连贯、统一的感知,大脑必须不断地结合不同感觉系统编码的信息。现代模型表明,多感官整合产生感官估计的加权平均值,其中每个系统对最终多感官感知的贡献由其提供的信息的相对可靠性(最大似然估计)决定。在本研究中,我们研究听觉和视觉速率感知之间的相互作用,其中观察者需要以一种模式做出判断,同时忽略另一种模式中呈现的冲突速率信息。我们展示了部分线索整合和完全线索分离之间的逐渐过渡,并且模式间差异不断增加,这与最大似然估计的强制实施不一致。为了解释这些发现,我们实现了一个简单的贝叶斯积分模型,该模型也能够预测观察者在新刺激下的表现。该模型假设大脑在确定要实施的集成程度时考虑了有关听觉和视觉速率信号之间对应关系的先验知识。这提供了一种策略,用于平衡通过整合来自共同来源的感官估计所产生的好处与合并与独立对象或事件相关的信息的成本。
In order to maintain a coherent, unified percept of the external environment, the brain must continuously combine information encoded by our different sensory systems. Contemporary models suggest that multisensory integration produces a weighted average of sensory estimates, where the contribution of each system to the ultimate multisensory percept is governed by the relative reliability of the information it provides (maximum-likelihood estimation). In the present study, we investigate interactions between auditory and visual rate perception, where observers are required to make judgments in one modality while ignoring conflicting rate information presented in the other. We show a gradual transition between partial cue integration and complete cue segregation with increasing inter-modal discrepancy that is inconsistent with mandatory implementation of maximum-likelihood estimation. To explain these findings, we implement a simple Bayesian model of integration that is also able to predict observer performance with novel stimuli. The model assumes that the brain takes into account prior knowledge about the correspondence between auditory and visual rate signals, when determining the degree of integration to implement. This provides a strategy for balancing the benefits accrued by integrating sensory estimates arising from a common source, against the costs of conflating information relating to independent objects or events.
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