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Neuromorphic VLSI Bayesian integration synapse

机译:神经形态VLSI贝叶斯整合突触

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摘要

Bayesian integration is thought to be used by the brain for optimal decision-making based on information from different sources. Recent evidence indicates that the hippocampal place cells use this mechanism to integrate information at the level of a single cell as opposed to that at the network level as postulated earlier. Therefore a synapse circuit is proposed, which can perform Bayesian integration on three inputs and present results from its implementation in silicon.
机译:人们认为,贝叶斯积分可以被大脑用来根据来自不同来源的信息进行最佳决策。最近的证据表明,海马位置细胞使用这种机制来整合单个细胞层面的信息,而不是先前假设的网络层面的信息。因此,提出了一种突触电路,该电路可以在三个输入上执行贝叶斯积分,并给出其在硅中实现的结果。

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