Title |
Virtual Electrode Recording Tool for EXtracellular potentials (VERTEX): comparing multi-electrode recordings from simulated and biological mammalian cortical tissue
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Published in |
Brain Structure and Function, May 2014
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DOI | 10.1007/s00429-014-0793-x |
Pubmed ID | |
Authors |
Richard J. Tomsett, Matt Ainsworth, Alexander Thiele, Mehdi Sanayei, Xing Chen, Marc A. Gieselmann, Miles A. Whittington, Mark O. Cunningham, Marcus Kaiser |
Abstract |
Local field potentials (LFPs) sampled with extracellular electrodes are frequently used as a measure of population neuronal activity. However, relating such measurements to underlying neuronal behaviour and connectivity is non-trivial. To help study this link, we developed the Virtual Electrode Recording Tool for EXtracellular potentials (VERTEX). We first identified a reduced neuron model that retained the spatial and frequency filtering characteristics of extracellular potentials from neocortical neurons. We then developed VERTEX as an easy-to-use Matlab tool for simulating LFPs from large populations (>100,000 neurons). A VERTEX-based simulation successfully reproduced features of the LFPs from an in vitro multi-electrode array recording of macaque neocortical tissue. Our model, with virtual electrodes placed anywhere in 3D, allows direct comparisons with the in vitro recording setup. We envisage that VERTEX will stimulate experimentalists, clinicians, and computational neuroscientists to use models to understand the mechanisms underlying measured brain dynamics in health and disease. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 33% |
Unknown | 2 | 67% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 67% |
Science communicators (journalists, bloggers, editors) | 1 | 33% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Japan | 2 | 2% |
France | 2 | 2% |
United Kingdom | 2 | 2% |
India | 1 | <1% |
Hungary | 1 | <1% |
Germany | 1 | <1% |
Belgium | 1 | <1% |
Belarus | 1 | <1% |
Russia | 1 | <1% |
Other | 1 | <1% |
Unknown | 105 | 89% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 31 | 26% |
Student > Ph. D. Student | 28 | 24% |
Student > Master | 14 | 12% |
Student > Bachelor | 12 | 10% |
Professor | 9 | 8% |
Other | 15 | 13% |
Unknown | 9 | 8% |
Readers by discipline | Count | As % |
---|---|---|
Neuroscience | 32 | 27% |
Agricultural and Biological Sciences | 25 | 21% |
Engineering | 17 | 14% |
Computer Science | 12 | 10% |
Physics and Astronomy | 7 | 6% |
Other | 12 | 10% |
Unknown | 13 | 11% |