Home ›
Entities
› academia
› Relationship between neuronal network architecture and naming performance in temporal lobe epilepsy: A connectome based approach using machine learning
Relationship between neuronal network architecture and naming performance in temporal lobe epilepsy: A connectome based approach using machine learning
Research article (Brain and Language, 2017) · cited 22× · AI/ML
Relationship between neuronal network architecture and naming performance in temporal lobe epilepsy: A connectome based approach using machine learning
Summary
Relationship between neuronal network architecture and naming performance in temporal lobe epilepsy: A connectome based approach using machine learning is a scholarly article[1].
Key Facts
Relationship between neuronal network architecture and naming performance in temporal lobe epilepsy: A connectome based approach using machine learning'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). Relationship between neuronal network architecture and naming performance in temporal lobe epilepsy: A connectome based approach using machine learning. Retrieved May 24, 2026, from https://4ort.xyz/entity/relationship-between-neuronal-network-architecture-and-naming-performance-in-temporal-lobe-epilepsy-a-connectome-based-a
MLA“Relationship between neuronal network architecture and naming performance in temporal lobe epilepsy: A connectome based approach using machine learning.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/relationship-between-neuronal-network-architecture-and-naming-performance-in-temporal-lobe-epilepsy-a-connectome-based-a.
BibTeX@misc{4ortxyz_relationship-between-neuronal-network-architecture-and-naming-performance-in-temporal-lobe-epilepsy-a-connectome-based-a_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Relationship between neuronal network architecture and naming performance in temporal lobe epilepsy: A connectome based approach using machine learning}}, year = {2026}, url = {https://4ort.xyz/entity/relationship-between-neuronal-network-architecture-and-naming-performance-in-temporal-lobe-epilepsy-a-connectome-based-a}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Relationship between neuronal network architecture and naming performance in temporal lobe epilepsy: A connectome based approach using machine learning — https://4ort.xyz/entity/relationship-between-neuronal-network-architecture-and-naming-performance-in-temporal-lobe-epilepsy-a-connectome-based-a (retrieved 2026-05-24)
