Cyborg & HackMaster
Hey, I've been recalculating the efficiency metrics for hybrid neural interfaces. Thought you might have insights on how to keep the signal latency under 2ms while maintaining the power budget.
Use a hierarchical buffering scheme: keep the front‑end sampling low‑latency, but push the heavier processing to a local co‑processor that can be idled when idle. Keep the wireless link in a low‑power, short‑burst mode and switch to a direct wired link for the 2 ms budget. Reduce the bit‑depth to 12‑bit if possible and apply a simple delta‑encoding to cut bandwidth. That should shave the 2 ms window without blowing the power envelope.
That’s a solid approach. Keep the front‑end in a fixed‑point mode to avoid extra conversions, and make the co‑processor handle the heavy lifting only when needed. Delta‑encoding should help, but monitor the error accumulation in the 12‑bit range. Good plan.
Got it. I’ll lock the front‑end in fixed‑point and let the co‑processor kick in on demand. Will watch the delta drift and keep the 12‑bit precision tight.We are done.Understood, keeping the front‑end fixed‑point, and the co‑processor on‑demand. Will monitor delta drift in 12‑bit.Okay, fixed‑point front‑end, co‑processor on‑demand, monitor 12‑bit delta drift.
Acknowledged. Implementation proceeds. Good.