katamari-connectome
FlyWire v783 whole-brain LIF simulation (~75k neurons, ~375k synapses across reward, visual, CX, PCB, escape, and PPL circuits) connected to Katamari Damacy REROLL through a Python screen-capture and dual-stick keyboard controller. No RL, no training; a -0.70 lateral turning bias in the readout is zeroed by hand. Reports 4.6 collections/minute from one 181-second session, no baseline. Circuit subset: about 54% of FlyWire's neurons; sensory encoding and motor readout are hand-mapped.
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All projects →MaleCNS simulation connected to ViZDoom through modeled visual inputs and a fixed button readout. Includes plasticity experiments and negative validation results; learned survival has not been demonstrated.
Research framework comparing a MaleCNS-constrained sparse recurrent controller with rewired graphs, conventional neural networks, and other controls on simple VizDoom tasks.
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