Fig. 4: Example network configuration based on rostral forelimb area of rat brain.

The data represented corresponds to a dataset comprising the 6 best Spiking Neural Network (SNN) among the 80 tested configurations and recordings of 6 Biological Neural Networks (BNN). A Representation of the BNN modeling according to a brain-like clustered network topology for the SNN. The network configuration was exported from BiœmuS software. The rodent head was cropped from the work of Servier (https://creativecommons.org/licenses/by/3.0/). B Synaptic connectivity map showing the number of the synapses received per neuron for the best configuration. C Radar plot comparing the fitting of the 80 SNN configurations to BNNs in terms of Mean Firing Rate (MFR), Mean Bursting Rate (MBR) and Burst Duration (BD). Highlighted in green are the 6 best SNNs (i.e. those configurations maximizing the similarity to the BNN group). D Distribution of the Mean Firing Rate (MFR), Mean Bursting Rate (MBR) and Burst Duration (BD) for the best SNN (977 neurons) and the 6 BNNs (282 neurons). Data are summarized in violin plots, where the outlines illustrate kernel probability density, i.e. the width of the shaded area represents the proportion of the data located there. Inside, the box plots (grey) where the horizontal lines denote the 25th and the 75th percentile values, the central white line the median value and the whiskers denote the 5th and the 95th percentile values. p = 0.9626 for MFR, p = 0.7944 for MBR, p = 0.7279 for BD non-parametric Mann–Whitney Rank Sum test (two-sided hypothesis test). E 30-s raster plots of the best SNN compared to the spiking activity of a representative BNN.