Evidence map›Paper›PMID 23986692›Full record

ArticleFrontiers in computational neuroscience2013

The situated HKB model: how sensorimotor spatial coupling can alter oscillatory brain dynamics.

Miguel Aguilera, Manuel G Bedia, Bruno A Santos, Xabier E Barandiaran

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Article in Frontiers in computational neuroscience, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

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0cells of the map it votes in
15citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

15 citing papers in PubMed.

  1. Article
  2. Review
  3. The illusion of internal models in biological movement.European journal of applied physiology · 2025
    Review
  4. Article
  5. Pink noise promotes sooner state transitions during bimanual coordination.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. The human dynamic clamp as a paradigm for social interaction.Proceedings of the National Academy of Sciences of the United States of America · 2014
    Article
  13. Article
  14. Article
  15. Article
4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Miguel AguileraDepartment of Computer Science and Engineering Systems, University of Zaragoza Zaragoza, Spain.
Manuel G Bedia
Bruno A Santos
Xabier E Barandiaran

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite the increase of both dynamic and embodied/situated approaches in cognitive science, there is still little research on how coordination dynamics under a closed sensorimotor loop might induce qualitatively different patterns of neural oscillations compared to those found in isolated systems. We take as a departure point the Haken-Kelso-Bunz (HKB) model, a generic model for dynamic coordination between two oscillatory components, which has proven useful for a vast range of applications in cognitive science and whose dynamical properties are well understood. In order to explore the properties of this model under closed sensorimotor conditions we present what we call the situated HKB model: a robotic model that performs a gradient climbing task and whose "brain" is modeled by the HKB equation. We solve the differential equations that define the agent-environment coupling for increasing values of the agent's sensitivity (sensor gain), finding different behavioral strategies. These results are compared with two different models: a decoupled HKB with no sensory input and a passively-coupled HKB that is also decoupled but receives a structured input generated by a situated agent. We can precisely quantify and qualitatively describe how the properties of the system, when studied in coupled conditions, radically change in a manner that cannot be deduced from the decoupled HKB models alone. We also present the notion of neurodynamic signature as the dynamic pattern that correlates with a specific behavior and we show how only a situated agent can display this signature compared to an agent that simply receives the exact same sensory input. To our knowledge, this is the first analytical solution of the HKB equation in a sensorimotor loop and qualitative and quantitative analytic comparison of spatially coupled vs. decoupled oscillatory controllers. Finally, we discuss the limitations and possible generalization of our model to contemporary neuroscience and philosophy of mind.

Indexed as

coordination dynamicsdynamical analysisembodied cognitionHKB modelneurodynamicssensorimotor couplingsituated hkb model

Identifiers

PMID23986692
PMCPMC3750630

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.