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# Massively parallel multi-electrode recordings of macaque motor cortex during an instructed delayed reach-to-grasp task
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## Summary
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-We provide two electrophysiological datasets recorded via a 10-by-10 multi-electrode array chronically implanted in the motor cortex of two macaque monkeys during an instructed delayed reach-to-grasp task. The datasets contain the continuous measure of extracellular potentials at each electrode sampled at 30 kHz, the local field potentials sampled at 1 kHz and the timing of the online and offline extracted spike times. It also includes the timing of several task-related and behavioral events recorded along with the electrophysiological data. Finally, the datasets provide a complete set of metadata structured in a standardized format. These metadata allow easy access to detailed information about the datasets such as the settings of the recording hardware, the array specifications, the location of the implant in the motor cortex, information about the monkeys, or the offline spike sorting.
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+We provide two electrophysiological datasets recorded via a 10-by-10 multi-electrode array chronically implanted in the motor cortex of two macaque monkeys during an instructed delayed reach-to-grasp task ([Brochier et al., 2018](http://doi.org/10.1038/sdata.2018.55)). The datasets contain the continuous measure of extracellular potentials at each electrode sampled at 30 kHz, the local field potentials sampled at 1 kHz and the timing of the online and offline extracted spike times. It also includes the timing of several task-related and behavioral events recorded along with the electrophysiological data. Finally, the datasets provide a complete set of metadata structured in a standardized format. These metadata allow easy access to detailed information about the datasets such as the settings of the recording hardware, the array specifications, the location of the implant in the motor cortex, information about the monkeys, or the offline spike sorting.
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The two datasets can be exploited to address crucial issues in neurophysiology such as: What are the principles of neural interactions in a local cortical network and how are these interactions modulated during a well-described behavioral task? How different neuronal signals such as single-unit activity, multi-unit activity or LFPs relate to each other? Which spike sorting methods provide the best estimate of single unit activity?
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## Downloading the data
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@@ -100,6 +100,7 @@ https://web.gin.g-node.org/INT/multielectrode_grasp
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This includes, in particular, the loading routine reachgraspio.py, which may need to be adapted as new versions of the Neo and odML libraries become available.
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## Related Publications
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+* Brochier, T., Zehl, L., Hao, Y., Duret, M., Sprenger, J., Denker, M., Grün, S. & Riehle, A. (2018). Massively parallel recordings in macaque motor cortex during an instructed delayed reach-to-grasp task, Scientific Data, 5, 180055. http://doi.org/10.1038/sdata.2018.55
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* Riehle, A., Wirtssohn, S., Grün, S., & Brochier, T. (2013). Mapping the spatio-temporal structure of motor cortical LFP and spiking activities during reach-to-grasp movements. Frontiers in Neural Circuits, 7, 48. https://doi.org/10.3389/fncir.2013.00048
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* Milekovic, T., Truccolo, W., Grün, S., Riehle, A., & Brochier, T. (2015). Local field potentials in primate motor cortex encode grasp kinetic parameters. NeuroImage, 114, 338–355. https://doi.org/10.1016/j.neuroimage.2015.04.008
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* Torre, E., Quaglio, P., Denker, M., Brochier, T., Riehle, A., & Grun, S. (2016). Synchronous spike patterns in macaque motor cortex during an instructed-delay reach-to-grasp task. Journal of Neuroscience, 36(32), 8329–8340. https://doi.org/10.1523/JNEUROSCI.4375-15.2016
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