⚡ 本页包含 AI 生成的分析内容,仅供参考
该论文设计了一种紧凑的电压和电流刺激缓冲器,用于高密度微电极阵列,旨在实现对培养神经元网络中单个神经元的双向访问和闭环实验。该缓冲器同时支持电压和电流刺激模式,解决了高密度阵列中刺激电路面积和功耗的挑战。
ETH Zürich, Zürich, Switzerland ETH Zürich (now at IBM Research), Zürich, Switzerland 3 University of Tokyo, Tokyo, Japan 2 The most sophisticated information processing system, the human brain, consists of a huge number of neurons that form part of an intricate network and communicate through electrical and chemical signals via synapses. To elucidate interneuronal communication and network characteristics, it is important to gain bidirectional access (recording and stimulation) to individual neurons and to be able to do closed-loop experiments in cultures. The targeted stimulation of individual neurons, and the subsequent tracking of a signal’s propagation is a valuable tool to decipher network structures as well as strength and plasticity of involved connections. CMOS-based microelectrode arrays (MEAs) featuring high spatial resolution (subcellular) and low noise provide a wealth of information. Extracellular electrodes ensure cell integrity and long-term recordings; neuronal stimu
Paolo Livi1, Flavio Heer1, Urs Frey2, Douglas J. Bakkum3, Andreas Hierlemann1