MesoNet: experiment-log structure

fill the gaps in the run notes before they're impossible to reconstruct. changed parameter + input settings + output files + what broke, all together

• recorded housekeeping: fill missing experiment descriptions and reorganize notes so parameter changes can be compared across runs. Associated reading concerns plasticity, STDP efficiency and graph-based connectivity.

• reference fields for rebuilding the record: input/encoder configuration, neuron equations, inhibition, learning-rule parameters, initialization, timestep, backend, output files, runtime and observed failure. Distinguish settings copied from a paper from settings changed during an experiment.

• review question: can every plot be traced to one configuration and input set? A useful notebook entry should identify the artifact and why it matters, rather than only state that a run finished. This checklist is compiled now from the project's recurring debugging needs; it is not a claim that all historical runs already contain these fields.

• References saved in this journal section

• https://iopscience.iop.org/article/10.1088/2634-4386/ad3a95/pdf
• https://www.frontiersin.org/journals/neuroinformatics/articles/10.3389/fninf.2018.00002/full
• https://www.frontiersin.org/journals/neuroscience/articles/10.3389/fnins.2018.00774/full

XeAe receptive-field mosaic