Biologically plausible information propagation in a complementary metal-oxide semiconductor integrate-and-fire artificial neuron circuit with memristive synapses

This is the repository containing the datasets relative to the publication: L. Benatti, T. Zanotti, D. Gandolfi, J. Mapelli, and F. M. Puglisi, “Biologically plausible information propagation in a complementary metal-oxide semiconductor integrate-and-fire artificial neuron circuit with memristive synapses,” Nano Futures, vol. 7, no. 2, p. 025003, May 2023, doi: 10.1088/2399-1984/accf53.

In this folder, you will find MATLAB workspaces containing:

Sni: Tables with stimuli values (binary and decimal), noise, and surprise, divided by synapse conductance values.

MI_vs_G: Vectors containing simulated values of mutual information (MI), noise, and entropy associated with synapse conductance values, as shown in Figure 5.

SpS_vs_rank: Traces of surprise per spike (SpS) related to synapse conductance values, ordered by stimulus rank.                        This includes the tracking of stimuli associated with lower/higher SpS as synapse conductance varies, as illustrated in Figure 6b.