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{
"n": 0,
"doi": "10.1142/s012906572350051x",
"claim": "Using AGm neural activity to calibrate M1 predicted forelimb movement can improve decoding performance significantly compared to neural decoders without calibration.",
"cite_key": "Wang2023f",
"evidence": "International journal of neural systems 2023; PMID 37632142. Enhancing Prediction of Forelimb Movement Trajectory through a Calibrating-Feedback Paradigm Incorporating RAT Primary Motor and Agranular Cortical Ensemble Activity in the Goal-Directed Reaching Task.",
"effect_size": null,
"text_access": "abstract_only",
"study_system": "rat cortex",
"argument_role": "supporting",
"replication_status": "uncertain",
"claim_source_sentence": "We demonstrate that using AGm neural activity to calibrate M1 predicted forelimb movement can improve decoding performance significantly compared to neural decoders without calibration.",
"source_provenance_status": "non_substring_match",
"replication_evidence_dois": [],
"claim_rewritten_from_source": true,
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}- source_refs
[
"paper:paper-fa560b942d67"
]
- evidence_refs
[
{
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}
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{
"mode": "public_source_pointer_with_short_context",
"notes": [
"Local review repositories are read-only inputs.",
"SciDEX stores paper metadata, structured evidence, file pointers, and short citation contexts; it does not copy full review prose."
],
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International journal of neural systems 2023; PMID 37632142. Enhancing Prediction of Forelimb Movement Trajectory through a Calibrating-Feedback Paradigm Incorporating RAT Primary Motor and Agranular Cortical Ensemble Activity in the Goal-Directed Reaching Task.