Title |
Temporally precise control of single-neuron spiking by juxtacellular nanostimulation
|
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Published in |
Journal of Neurophysiology, January 2017
|
DOI | 10.1152/jn.00479.2016 |
Pubmed ID | |
Authors |
Maik C Stüttgen, Lourens J P Nonkes, H Rüdiger A P Geis, Paul H Tiesinga, Arthur R Houweling |
Abstract |
Temporal patterns of action potentials influence a variety of activity-dependent intra- and inter-cellular processes and play an important role in theories of neural coding. Elucidating the mechanisms underlying these phenomena requires imposing spike trains with precisely defined patterns, but this has been challenging due to the limitations of existing stimulation techniques. Here we present a new nanostimulation method providing control over the action potential output of individual cortical neurons. Spikes are elicited through the juxtacellular application of short-duration fluctuating currents ('kurzpulses'), allowing for the sub-millisecond precise and reproducible induction of arbitrary patterns of action potentials at all physiologically relevant firing frequencies (<120 Hz), including minute-long spike trains recorded in freely moving animals. We systematically compared our method to whole-cell current injection as well as optogenetic stimulation and show that nanostimulation performance compares favorably with these techniques. This new nanostimulation approach is easily applied, can be readily performed in awake behaving animals, and thus promises to be a powerful tool for systematic investigations into the temporal elements of neural codes as well as the mechanisms underlying a wide variety of activity-dependent cellular processes. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 3% |
Unknown | 39 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 10 | 25% |
Researcher | 10 | 25% |
Professor | 5 | 13% |
Student > Master | 3 | 8% |
Other | 2 | 5% |
Other | 5 | 13% |
Unknown | 5 | 13% |
Readers by discipline | Count | As % |
---|---|---|
Neuroscience | 23 | 57% |
Agricultural and Biological Sciences | 5 | 13% |
Engineering | 3 | 8% |
Physics and Astronomy | 1 | 3% |
Medicine and Dentistry | 1 | 3% |
Other | 1 | 3% |
Unknown | 6 | 15% |