Research Data Engineering

Beyond the skull: Neuropsychological rehabilitation and Extended/Distributed Cognition.

Source ↗

Key Insights

  • BackgroundNeuropsychological Rehabilitation has traditionally relied on models that conceptualize cognition primarily as a property of the individual brain.
  • However, many established rehabilitation practices extend beyond the individual, involving cognitive artifacts (e.
  • g.
Cite this synthesis DOI: 10.1177/02692155261491940 ↗
Show formatted citation
@misc{ acaciadata-research-beyond-the-skull-neuropsychological-rehabilitation-and-exten,
  title = { Beyond the skull: Neuropsychological rehabilitation and Extended/Distributed Cognition. },
  author = { C Salas, A Rossi, D Rojas-Líbano et al. },
  year = { 2026 },
  doi = { 10.1177/02692155261491940 },
  url = { https://pubmed.ncbi.nlm.nih.gov/42960887/ },
  note = {Summarized and classified by AcaciaFund}
}
TY  - GEN
TI  - Beyond the skull: Neuropsychological rehabilitation and Extended/Distributed Cognition.
AU  - C Salas, A Rossi, D Rojas-Líbano et al.
PY  - 2026
DO  - 10.1177/02692155261491940
UR  - https://pubmed.ncbi.nlm.nih.gov/42960887/
ER  -

Edit on GitHub — registry.json

Overview

BackgroundNeuropsychological Rehabilitation has traditionally relied on models that conceptualize cognition primarily as a property of the individual brain. However, many established rehabilitation practices extend beyond the individual, involving cognitive artifacts (e.g., tools), modifications of the physical environment, and the coordinated contribution of other people. This creates a potential mismatch between how cognition is theoretically conceptualized and how rehabilitation is practiced.

Key Topics

  • Dataops: A theme covered by this item within the data engineering context.
  • Distributed Systems: A theme covered by this item within the data engineering context.

Why It Matters

This item adds to the data engineering knowledge base. Practitioners can use it to stay current on Beyond the skull: Neuropsychological rehabilitation and Extended/Distributed Cognition, but should validate its claims against primary sources and more recent work before relying on it in production decisions.

Key Takeaways

  • Understand how Beyond the skull: Neuropsychological rehabilitation and Extended/Distributed Cognition relates to data engineering workflows and controls.
  • Assess evidence quality and freshness before acting on the findings.
  • Use the tagged topics to connect this item to related content in the library.
Article Metadata
Evergreen Synthesized
SQI 0.700

Cross-Pillar Connections

Further Reading

  • Databricks Blog

    Lakehouse, Spark, Delta Lake, Unity Catalog — engineering blog

  • Apache Kafka

    Kafka documentation, KIPs, and ecosystem updates

  • Apache Flink

    Flink documentation and release notes

  • Apache Iceberg

    Iceberg table format — specs, REST catalog, performance

  • dbt Blog

    dbt Labs engineering blog — analytics engineering, Semantic Layer

  • Dagster Blog

    Dagster orchestration — software-defined assets, IO managers

Related Research

Related Lessons

Stay Updated

Get the latest research summaries delivered to your inbox.