SandroErba/spiking-p-system — reverse-engineered prompt

Build me a Python project for experimenting with Spiking Neural P Systems for image classification. I want to be able to run small example systems and also try a multilayer setup that processes structured inputs like images.

Please include a simple GUI entry point where I can change experiment parameters and run simulations, plus a plain script entry point for running from code. The model should support multi spike firing rules, a white hole mechanism, inhibitory synapses with anti spikes, and avoid normal synaptic weights so it stays close to the P system idea.

Keep it lightweight and research friendly rather than polished like a commercial app. Include sample data or CSV based examples if useful, tests for the core behavior, and clear setup instructions so I can clone it, install requirements, and run the GUI with Python. Also add a simple diagram or placeholder showing the multilayer SN P system architecture.