Maya-Chitta: Endocannabinoid-Inspired Retrograde Gradient Gating for Class-Incremental Learning in Affective Spiking Neural Networks

Maya-Chitta introduces the first retrograde gradient mechanism in the Maya Research Series, a systematic mapping of Advaita Vedantic Antahkarana constructs onto neuromorphic spiking neural network (SNN) architecture for continual learning. The new dimension: Chitta (चित्त) In Advaita Vedanta, Chitta is the subconscious impression store — the substrate in which Samskaras (latent traces of past experience) reside and quietly shape present perception without being consciously retrieved. Computationally, Chitta is implemented as a per-synapse Samskara trace system that accumulates cross-task impression history during forward learning and applies retrograde gradient suppression to prevent Moha (pathological…