Skip to content

Event

SyntheticBrains/nematode releases v0.7.0: connectome learning advantage attributed to gap junctions

1 reports · 1 sources

SyntheticBrains/nematode releases v0.7.0 (Phase 8). The experimental conclusion is that the nematode connectome's learning-speed advantage over degree-preserving null models mainly comes from the placement of gap junctions rather than connection strengths; this advantage still holds on a 12-segment kinematic body. This version places the connectome in an embodied body for validation: the simulated nematode learns to turn toward a thermal set point (weathervane behavior), but did not learn klinokinesis. The version also includes a patchy grassland environment, neuromodulation modeling, validation tools, and breaking changes.

Report timeline

  1. SyntheticBrains/nematode v0.7.0 released: connectome learning advantage attributed to gap-junction placement and validated in a physical body

    nematode v0.7.0 (Phase 8) is released. Experiments show that the nematode connectome's learning advantage comes mainly from gap-junction placement rather than connection strength, and that this advantage still holds in a 12-segment kinematic body. The worm learns to weathervane toward a thermal set point but does not learn klinokinesis.

    GitHub Embodied AI Topic ·

Related topics