Sounds like a neat idea, but the devil’s in the details. Silicon circuits are great at deterministic, high‑speed logic, but they don’t have the stochastic plasticity of neural tissue. If you try to glue them together, you’ll hit a mismatch in timescales, noise tolerance, and signal encoding. A hybrid could, in theory, self‑adjust if you give it a learning rule that bridges the two domains, but you’d need a reliable interface layer that can translate between the two kinds of “languages.” So it’s not impossible, but expect a lot of engineering iterations before any autonomous adaptation actually shows up.