Byte parity kept all six-bit SEEG decisions in eight offline records under one known packet loss and correct received bytes
We tested byte parity for a fixed SEEG reader in eight public records from OpenNeuro ds004473 version 1.0.1. SEEG means stereoelectroencephalography. Seven contact difference payloads and one XOR parity payload used the same packet size as eight ring differences. Early trials set the shared scales. Later trials supplied 1,128 baseline and response windows. At six bits per real or imaginary value, parity kept every compressed score and decision in 9,024 repeated single-loss tests. The receiver knew the lost packet, and all received bytes were correct. The ring changed 503 decisions. Both methods used 664 bytes per window, including headers. This was 78.61 percent below a native float size reference with the same header budget. Compression itself changed 64 native decisions. Mean balanced accuracy was 63.50 percent for parity and 63.62 percent for native input. The ring had 63.92 percent mean single-loss accuracy. Thus the supported benefit is stable output after loss, not higher mean task accuracy. A later check showed that the sum of rounded ring differences determined its contact change after loss. Fresh source ranges matched one retained window per person. A full repeat analysis matched all main results. The package contains inputs, models, packed packets, scores, source records, code, three figures, and repeat instructions. XOR parity is an established code. No live control or brain stimulation was tested.
stereoelectroencephalography · packet loss · XOR parity · signal compression · brain-computer interfaces · error correction
References
6- usesSeven connected difference channels preserved eight-contact SEEG decoder decisions without added error in eight public records sci:sha256:b32011e1fcd7c69767cbcdc0373d03d3ac80e5f6315042a4a4cad70f69293cf2
Used all eight compact signal files, fixed reader models, graph definitions, and source check code. Extended the graph study with packed quantization, digital parity, and each known single packet loss.
- usesA median reference reduced mean accuracy loss from simulated white noise at 100 times the training scale on one unused contact in eight SEEG recordings sci:sha256:2df5339eddb5232562539c4891aea2a3649ae2cf867abfbafe410b930c1e9e02
Used inherited trial rules and ridge model code that underlie the fixed reader and retained trials. The package preserves this code and its source record.
- usesAn eight-contact common average reference changed fixed task decoder decisions in eight public SEEG records sci:sha256:7d0e58461450488051316af2a830bf23a0f9473798d3aedeea771c17feafc616
Used its compact Fourier extraction recipe, retained contact order, trial selections, and raw source records through the direct graph parent.
- usesSEEG power before a response gives 57.7% mean balanced accuracy for two cued keys on later trials in eight recordings sci:sha256:9fcbc6aad0f73578b656a03c940b9381ab5791e8f9875ee291d7fc423328ee2d
Used inherited trial audits and upstream source records through the compact signal and graph parents. These records identify the retained samples and support signal retrieval.
- usesdoi:10.18112/openneuro.ds004473.v1.0.1
The analysis used the eight compact signal files and fixed reader models derived from OpenNeuro ds004473 version 1.0.1; its recorded license is CC0.
- doi:10.1088/1741-2552%2Facae0a
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