Dataset
Monkey behavioral neurophysiology during a delayed center-out reach task with ambiguous target information
- UMR7289 Institut de Neurosciences de la Timone (INT), Centre National de la Recherche Scientifique (CNRS)—Aix-Marseille Université (AMU), Marseille, France; Institute for Advanced Simulation (IAS-6), Jülich Research Center, Jülich, Germany;
DOI: 10.12751/g-node.rz77m8 BROWSE REPOSITORY BROWSE ARCHIVE DOWNLOAD ARCHIVE (ZIP 164 MiB)
Published 31 May. 2024 | License Creative Commons Attribution 4.0 International Public License
Description
This data set contains the complete behavioral and neurophysiological data obtained in two behaving monkeys as was analyzed in two publications by Rostami et al. (2024) and Rickert et al. (2009). The experimental task involves a delayed center-out arm-reach in three experimental condition that varied the degree of information (complete or incomplete) about the final movement target as cued at the start of the delay period. The data set contains the trigger events for the experimental cue stimuli and the behavioral events, and it contains acute single-unit recordings from the primary motor cortex (M1) and premotor cortex dorsal (PMd) for both monkeys. All experiments were conducted in the laboratory and under supervision of Dr. Alexa Riehle (Aix-Marseille Université and Research Center Jülich). Please refer to the README file in the data repository for additional information.
Keywords
| monkey | motor cortex | center-out task | reach task | multiple single unit recording |References
- Rostami, V., Rost, T., van Albada, S., Riehle, A., & Nawrot, M. (2024). Spiking attractor model of motor cortex explains modulation of neural and behavioral variability by prior target information. Nature Communications, accepted https://doi.org/10.1101/2020.02.27.968339
- Lungu, I. A., Riehle, A., Nawrot, M. P., & Schmuker, M. (2017). Predicting voluntary movements from motor cortical activity with neuromorphic hardware. IBM Journal of Research and Development, 61(2/3), 5-1. https://doi.org/10.1147/JRD.2017.2656063
- Bastian, A., Schöner, G., & Riehle, A. (2003). Preshaping and continuous evolution of motor cortical representations during movement preparation. European Journal of Neuroscience, 18(7), 2047-2058. https://doi.org/10.1046/j.1460-9568.2003.02906.x
- Rost, T. (2016) Modelling Cortical Variability Dynamics: From Inhibitory Clustering to Context Dependent Modulation. Doctoral dissertation, Freie Universität Berlin https://doi.org/10.17169/refubium-11083
- Nawrot, M. P. (2010). Analysis and interpretation of interval and count variability in neural spike trains. In Analysis of parallel spike trains (pp. 37-58). Boston, MA: Springer US. https://doi.org/10.1007/978-1-4419-5675-0_3
- Rickert, J., Riehle, A., Aertsen, A., Rotter, S., & Nawrot, M. P. (2009). Dynamic encoding of movement direction in motor cortical neurons. Journal of Neuroscience, 29(44), 13870-13882. https://doi.org/10.1523/JNEUROSCI.5441-08.2009
- Nawrot, M.P. (2003) Ongoing activity in cortical networks: noise, variability and context. Doctoral dissertation, Albert-Ludwigs-Universität Freiburg (Breisgau). urn:nbn:de:bsz:25-opus-73426
- Nawrot, M. P., Rodriguez, V., Heck, D., Riehle, A., Aertsen, A., & Rotter, S. (2001). Trial-by-trial variability of spike trains in vivo and in vitro. In Soc Neurosci Abstr (Vol. 27, No. 64.9). https://www.sfn.org/meetings/past-and-future-annual-meetings/abstract-archive/Abstract-Archive-Details?AbsYear=2001&AbsID=971