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

<p>This is the repository containing the datasets relative to the publication:&nbsp;<em>L. Benatti, T. Zanotti, D. Gandolfi, J. Mapelli, and F. M. Puglisi, &ldquo;Biologically plausible information propagation in a complementary metal-oxide semiconductor integrate-and-fire artificial neuron circuit with memristive synapses,&rdquo; Nano Futures, vol. 7, no. 2, p. 025003, May 2023, doi: <a href="https://doi.org/10.1088/2399-1984/accf53">10.1088/2399-1984/accf53</a>.</em></p> <p>In this folder, you will find MATLAB workspaces containing:</p> <ul> <li><strong>Sni:</strong> Tables with stimuli values (binary and decimal), noise, and surprise, divided by synapse conductance values.</li> <li><strong>MI_vs_G:</strong> Vectors containing simulated values of mutual information (MI), noise, and entropy associated with synapse conductance values, as shown in Figure 5.</li> <li><strong>SpS_vs_rank:</strong> Traces of surprise per spike (SpS) related to synapse conductance values, ordered by stimulus rank.&nbsp;<br>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;This includes the tracking of stimuli associated with lower/higher SpS as synapse conductance varies, as illustrated in Figure 6b.</li> </ul>