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首页> 外文期刊>PLoS Computational Biology >Representational structure or task structure? Bias in neural representational similarity analysis and a Bayesian method for reducing bias
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Representational structure or task structure? Bias in neural representational similarity analysis and a Bayesian method for reducing bias

机译:代表结构还是任务结构?神经表示相似性分析中的偏差和减少偏倚的贝叶斯方法

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摘要

Author summary We show the severity of the bias introduced when performing representational similarity analysis (RSA) based on neural activity pattern estimated within imaging runs. Our Bayesian RSA method significantly reduces the bias and can learn a shared representational structure across multiple participants. We also demonstrate its extension as a new multi-class decoding tool.
机译:作者摘要我们显示了基于成像运行中估计的神经活动模式执行代表性相似性分析(RSA)时引入的偏差的严重性。我们的贝叶斯RSA方法可以显着减少偏差,并且可以在多个参与者之间学习共享的代表结构。我们还将展示它作为新的多类解码工具的扩展。

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