Multi-channel fusion convolutional neural network to classify syntactic anomaly from language-related ERP components
Summary
Multi-channel fusion convolutional neural network to classify syntactic anomaly from language-related ERP components is a scholarly article[1].
Key Facts
Multi-channel fusion convolutional neural network to classify syntactic anomaly from language-related ERP components's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Multi-channel fusion convolutional neural network to classify syntactic anomaly from language-related ERP components. Retrieved May 24, 2026, from https://4ort.xyz/entity/multi-channel-fusion-convolutional-neural-network-to-classify-syntactic-anomaly-from-language-related-erp-components