← All Papers · computational_neuroscience

Optimal Neural Decoding via the Latent Framework: How Many Electrodes Does a Brain-Computer Interface Need?

Dr. Tamás Nagy Updated 2026-04-09 Short Draft computational_neuroscience Lean-Verified
Mathematics verified. Core theorems are machine-checked in Lean 4. Prose and presentation may not have been human-reviewed.
Download PDF View in Graph BibTeX
Length
2,618 words
Claims
2 theorems
Status
draft

Novelty

Reframing the electrode-count question as a spectral decay problem governed by a single Latent ratio ρ, yielding the closed-form N* = Θ(log(1/ε)/log ρ), is a clean conceptual contribution, but the formal theorems are largely real-arithmetic tautologies (e.g., if a ≤ b then b − a ≥ 0) rather than deep mathematical results.

Connects To

Universal Foundations: A Verified Library of Core Mathematic...

Referenced By

Cross-Domain Bridges in the Latent Framework: Structural Iso...

Browse all computational_neuroscience papers →