通过神经接口和记忆突触连接大脑和人工神经元:第一步

S. Vassanelli
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引用次数: 0

摘要

神经接口使得记录和刺激大脑活动在高时空分辨率,在单个神经元和跨神经网络的水平上成为可能。与此同时,模仿生物神经元和网络功能特性的受大脑启发的纳米和微电子设备和电路正在开发中。特别是忆阻器,在传输和信号处理能力方面是模拟突触的有希望的候选者。我们首次展示了记忆电阻器可用于压缩高分辨率多电极阵列记录的生物神经元信号信息的证据,并讨论了这些设备将在高级脑芯片接口中作为生物神经元和人工对应物之间的突触样生物电子链接的观点。
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Wiring brain and artificial neurons through neural interfaces and memristive synapses: The first steps
Neural interfaces are making it possible to record and stimulate brain activity at high spatiotemporal resolution, at the level of single neurons and across neural networks. In parallel, brain-inspired nano- and microelectronic devices and circuits are being developed that emulate functional properties of biological neurons and networks. Memristors, in particular, are promising candidates to emulate synapses in terms of transmission and signal processing capability. We show first evidence that memristors can be used to compress information of signals from biological neurons as recorded by high-resolution multielectrode arrays and discuss the perspective that these devices will serve as synaptic-like bioelectronic links between biological neurons and artificial counterparts in advanced brain-chip interfaces.
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