Maya-Morphe P5: Dhyana — Sustained Field-Guided Axonal Pathfinding in Morphogenetic Neural Networks

Birla Institute of Technology and Science, Pilani

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Abstract

We present Maya-Morphe P5: Dhyana, the first demonstration of sustained field-guided axonal pathfinding in a morphogenetic neural network. Three training-dynamic interventions — wound-aware field diversity loss, FRR loss freeze, and per-epoch scalar SlowFieldEMA — drive EFC positive in 96 of 250 epochs (peak EFC = +0.1565 at epoch 36, 70 consecutive positive epochs). FRR = 100% confirmed across all 250 epochs. Bhaya Quiescence Law MODIFIED (mean 0.1546, ~48× SNN baseline). AxonNet architecture unchanged from P3/P4. Contribution is entirely in training dynamics. Maya-Morphe Series 3, Paper 5.

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Topics & keywords

Keywords
  • Pathfinding
  • Artificial neural network
  • Nervous system
  • Neural activity
  • Feature (linguistics)
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