Demonstrates how dendritic morphology influences neural signal output in self-aware networks, suggesting new mechanisms for neural coding.
This paper asks how learning-dependent dendritic and cellular structure can shape recognition and produce an output usable by downstream neural circuits. It separates morphology from the signal that morphology helps generate: anatomy is not transmitted, but morphology, synapse placement, receptor and channel state, excitability, intracellular organization, and recent activity jointly parameterize a cellular transform. A compatible input can then produce a typed change in timing, phase, waveform, burst structure, or release consequences relative to a receiver's ongoing state. After the physiological operation is established, Self Aware Networks names this receiver-relative output a Phase Wave Differential. The paper preserves a dated 2012 source lineage separately from the mature 2022 terminology, formalizes the mechanism, provides a deterministic matched-rate identifiability demonstration, and specifies causal perturbation, ablation, rescue, and failure tests. It reports no new biological measurements and makes no claim that its constructed values are neuronal effect-size estimates.
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Micah Blumberg (2026) studied this question.
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