One request bounded fixed SEEG score error in eight sessions with reliable replies

We tested a method to send a continuous brain reader score with a stated error limit. The source was public OpenNeuro ds004473 version 1.0.2. We used 67,309 later SEEG windows from eight people. The sender sent four-bit power codes. The receiver requested selected original values once. It released a score only when an outward interval proved its error limit. The main limit was 5 percent of the score standard deviation in early fitting data. Every later window passed. Mean cost was 108.1 bytes, compared with 128 bytes for exact feature transfer. The mean saving across people was 15.5 percent. The descriptive 95 percent person interval was 10.3 to 21.2 percent. At 16 extra bytes per message, the method cost 8.4 percent more than exact transfer. A 1 percent score limit also cost more before message overhead. The earlier binary decision rule met the 5 percent score interval limit in only 9.6 percent of windows on average. The method assumes fixed affine readers, finite float32 features, shared parameters, and reliable ordered replies. The proof gives an error bound for each released score. It does not require independent SEEG windows. The package contains the proof, source recipes, fixed data, all masks and bounds, three figures, code, and checks. Independent wire replay passed 201,927 score checks. Fresh source checks covered all eight people and 28 raw windows. This study adds a score transport method. It does not establish better clinical decoding, stimulation, or radio power.

SEEG · brain-computer interface · score transport · error bounds · feature coding · communication cost