This work is heavily inspired by https://github.com/Monadillo/pcn-intro. I have directly taken their script and adapted it for my needs.
I am investigating how one can derive learning and dynamical laws from a neurophysiologically valid shunting equation. This was directly inspired from https://github.com/Monadillo/pcn-intro. Please check out <report\report_receptive_field_pcn.pdf>.
Please run <network.py> to test out receptive-field based predictive coding framework and refer to <report\report_receptive_field_pcn.pdf> for more details.