Björn Eversmann

Learn More
Sensor arrays are a key tool in the field of neuroscience for noninvasive recording of the activity of biological networks, such as dissociated neurons or neural tissue. A high-density sensor array complementary metal–oxide–semiconductor chip is presented with 16 K pixels, a frame rate of 2 kiloframes per second, and a pitch of 7.8 m 7.8 m for imaging of(More)
We report on the recording of electrical activity in cultured hippocampal slices by a multitransistor array (MTA) with 16,384 elements. Time-resolved imaging is achieved with a resolution of 7.8 microm on an area of 1 mm2 at 2 kHz. A read-out of fewer elements allows an enhanced time resolution. Individual transistor signals are caused by local evoked field(More)
In recent years energy-harvesting technology has become much more mature. The energy source is free and widely available. However, there are some limitations that energy-harvesting devices need to cope with, to build a reliable system. First of all the peak current of typical energy-harvesting power sources is quite limited [1] and the system’s active power(More)
Hutzler, M., A. Lambacher, B. Eversmann, M. Jenkner, R. Thewes, and P. Fromherz. High-resolution multitransistor array recording of electrical field potentials in cultured brain slices. J Neurophysiol 96: 1638–1645, 2006. First published May 10, 2006; doi:10.1152/jn.00347.2006. We report on the recording of electrical activity in cultured hippocampal slices(More)
A CMOS sensor array for extracellular, high density imaging of electrical activity of living neural networks is presented. The chip is fabricated in an extended 0.5 μm CMOS technology, and provides 128 x 128 pixels with a pitch of 7.8 μm, full frame rate is 2000 frames per second. Dynamic maps from single cells and cultured networks are shown. I. I.(More)