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Kromer, Justus Simulated dataset on coordinated reset stimulation of homogeneous and inhomogeneous networks of excitatory leaky integrate-and-fire neurons with spike-timing-dependent plasticity Mendeley Data We present simulated data on coordinated reset stimulation (CRS) of plastic neuronal networks. The neuronal network consists of excitatory leaky integrate-and-fire neurons and plasticity is implemented as spike-timing-dependent plasticity (STDP). A synchronized state with strong synaptic connectivity and a desynchronized state with weak synaptic connectivity coexist. CRS may drive the network from the synchronized state into a desynchronized state inducing long-lasting desynchronization effects that persist after cessation of stimulation. This is used to model brain stimulation-induced transitions between a pathological state, with abnormally strong neuronal synchrony, and a physiological state, e.g., in Parkinson’s disease. During CRS, a sequence of stimuli is delivered to multiple stimulation sites – called CR sequence. We present simulated data for the analysis of long-lasting desynchronization effects of CRS with shuffled CR sequences versus non-shuffled CR sequences in which the order of stimulus deliveries to the sites remains unchanged throughout the entire stimulation period. We provide data on long-lasting desynchronization effects of shuffled and non-shuffled CRS in networks with homogeneous synaptic connectivity and networks with inhomogeneous synaptic connectivity. Homogeneous synaptic connectivity refers to a network in which the probability of a synaptic connection does not depend on the pre- and postsynaptic neurons’ locations. In contrast, inhomogeneous synaptic connectivity refers to a network in which the probability for a synaptic connection depends on the neurons’ locations. The presented neuronal network model was used to analyze the impact of the CR sequences and their shuffling on the long-lasting effects of CRS [1]. More details can be found in Ref. [2]. [1] Kromer, J. A., and Tass, P. A. (2024). Sequences and their shuffling may crucially impact coordinated reset stimulation – a theoretical study. Brain Stimulation 17, P194–P196. [2] Kromer, J.A., and Tass, P.A. (2024). Simulated dataset on coordinated reset stimulation of homogeneous and inhomogeneous networks of excitatory leaky integrate-and-fire neurons with spike-timing-dependent plasticity. Data in Brief 54, 110345. Note: Version 2 includes the following changes: 1) References [1] and [2] added. 2) run_sim/3_run.py "data" -> dataDirectory in line 159 3) Corrections related to the stimulation amplitude of non-shuffled CRS. In version 2, non-shuffled and shuffled CRS have the same stimulation amplitude for the same value of Astim. The following files have been updated accordingly: - CRS/CRS_non_shuffled.py - figures/Fig2/Figure_2.png - figures/Fig2/data/dic_mean_Weights_nonShuffled_homogeneous.pickle - figures/Fig2/data/dic_mean_Weights_nonShuffled_inhomogeneous.pickle Synaptic Plasticity Brain Stimulation Neuronal Model Tass, Peter Dataset doi:10.17632/fmmr595pps.2 oai:data.mendeley.com/fmmr595pps.2 Creative Commons Attribution 4.0 International http://creativecommons.org/licenses/by/4.0 https://data.mendeley.com/datasets/fmmr595pps 2024-07-23T23:18:42Z