We reproduced a decision-making network model using the neural simulator software neural simulation tool (NEST), and we embedded the spiking neural network in a virtual robotic agent performing a simulated behavioral task. The present work builds upon the concept of replicability in neuroscience, preserving most of the computational properties in the initial model although employing a different software tool. The proposed implementation successfully obtains equivalent results from the original study, reproducing the salient features of the neural processes underlying a binary decision. Furthermore, the resulting network is able to control a robot performing an in silico visual discrimination task, the implementation of which is openly available on the EBRAINS infrastructure through the neuro robotics platform (NRP).
CITATION STYLE
Trapani, A., Sheiban, F. J., Bertone, E., Chiosso, S., Colombo, L., D’Andrea, M., … Pedrocchi, A. (2022). Reproducing a decision-making network in a virtual visual discrimination task. Frontiers in Integrative Neuroscience, 16. https://doi.org/10.3389/fnint.2022.930326
Mendeley helps you to discover research relevant for your work.