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Multi-electrode array for measuring evoked potentials from surface of ferret primary auditory cortex
Using silicon-integrated circuit technology, we have fabricated a flexible multi-electrode array and used it for measuring evoked potentials at the surface of the ferret primary auditory cortex (AI). Traditionally, maps of cortical activity are recorded from numerous sequential penetrations with a s...
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Published in: | Journal of neuroscience methods 1995-05, Vol.58 (1), p.209-220 |
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Main Authors: | , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | Using silicon-integrated circuit technology, we have fabricated a flexible multi-electrode array and used it for measuring evoked potentials at the surface of the ferret primary auditory cortex (AI). Traditionally, maps of cortical activity are recorded from numerous sequential penetrations with a single electrode. A common problem with this approach is that the state of the cortex (defined in part by level of anesthesia and number of active cells) changes during the time required to generate these maps. The multi-electrode array reduces this problem by allowing the recording of 24 locations simultaneously. The specific array described in this report is designed to record cortical activity over a 1 mm
2 area. It is comprised of 24 gold electrodes (40 × 40 μm
2) each spaced 210 μm apart. These electrodes are connected to contact pads via gold leads (5 cm in length). The electrodes, leads, and contact pads are sandwiched between two layers of polyimide. The polyimide passivates the device and makes the device flexible enough to conform to the shape of the cortex. The fabrication procedures described here allow various other layouts and areas to be readily implemented. Measurements of the electrical properties of the electrodes, together with details of the multichannel amplification, acquisition, and display of the data are also discussed. Finally, results of AI mapping experiments with these arrays are illustrated. |
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ISSN: | 0165-0270 1872-678X |
DOI: | 10.1016/0165-0270(94)00178-J |