Fromherz Peter
Department of Membrane and Neurophysics, Max Planck Institute for Biochemistry, Am Klopferspitz 18, D-82152 Martinsried/Munich, Germany.
Ann N Y Acad Sci. 2006 Dec;1093:143-60. doi: 10.1196/annals.1382.011.
We consider the direct electrical interfacing of semiconductor chips with individual nerve cells and brain tissue. At first, the structure of the cell-chip contact is studied. Then we characterize the electrical coupling of ion channels--the electrical elements of nerve cells--with transistors and capacitors in silicon chips. On that basis it is possible to implement signal transmission between microelectronics and the microionics of nerve cells in both directions. Simple hybrid neuroelectronic systems are assembled with neuron pairs and with small neuronal networks. Finally, the interfacing with capacitors and transistors is extended to brain tissue cultured on silicon chips. The application of highly integrated silicon chips allows an imaging of neuronal activity with high spatiotemporal resolution. The goal of the work is an integration of neuronal network dynamics with digital electronics on a microscopic level with respect to experiments in brain research, medical prosthetics, and information technology.
我们考虑半导体芯片与单个神经细胞及脑组织的直接电连接。首先,研究细胞与芯片接触的结构。然后,我们表征离子通道(神经细胞的电学元件)与硅芯片中的晶体管和电容器之间的电耦合。在此基础上,有可能实现微电子与神经细胞微离子学之间双向的信号传输。利用神经元对和小型神经元网络组装简单的混合神经电子系统。最后,将与电容器和晶体管的连接扩展到在硅芯片上培养的脑组织。高度集成的硅芯片的应用使得能够以高时空分辨率对神经元活动进行成像。这项工作的目标是在微观层面上,就脑研究、医疗假肢和信息技术方面的实验,将神经元网络动力学与数字电子学集成起来。