Maya-Manas: Oscillatory Thalamo-Cortical Gating for Class-Incremental Learning in Affective Spiking Neural Networks
Birla Institute of Technology and Science, Pilani
Abstract
We introduce Maya-Manas, the seventh paper in the Maya Research Series grounding spiking neural network (SNN) continual learning in Advaita Vedantic cognitive philosophy. Manas (मनस्) — the oscillating, doubting, sensory-receiving mind — is implemented as an Oscillatory Leaky Integrate-and-Fire (O-LIF) gate on the fc1 layer, tracing a half-cycle cosine threshold descent from Vikalpa (maximum suppression, t=0) to Sankalpa (full receptivity, t=3) within each forward pass. Only signals salient enough to spike at peak threshold earn amplified Vairagya protection via the Manas-GANE intersection. A 5-condition ablation on Split-CIFAR-100 Class-Incremental Learning (10 tasks, seed=42) confirms: Full Maya-Manas…
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1Topics & keywords
- Spike (software development)
- Spiking neural network
- Series (stratigraphy)
- Salient
- Artificial neural network
- Pattern recognition (psychology)
- Gradient descent
- Transfer of learning