Evidence map›Paper›PMID 18989362›Full record

ArticlePloS one2008

Predicting adaptive behavior in the environment from central nervous system dynamics.

Alex Proekt, Jane Wong, Yuriy Zhurov, Nataliya Kozlova, Klaudiusz R Weiss, Vladimir Brezina

Abstract read
In one paragraph

Article in PloS one, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

20 citing papers in PubMed.

  1. Article
  2. Variable task switching in the feeding network ofJournal of neurophysiology · 2023
    Article
  3. Review
  4. Article
  5. An Anticipatory Circuit Modification That Modifies Subsequent Task Switching.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2021
    Article
  6. Article
  7. Network Degeneracy and the Dynamics of Task Switching in the Feeding Circuit inThe Journal of neuroscience : the official journal of the Society for Neuroscience · 2019
    Article
  8. Cellular Effects of Repetition Priming in theThe Journal of neuroscience : the official journal of the Society for Neuroscience · 2018
    Article
  9. Consequences of degeneracy in network function.Current opinion in neurobiology · 2016
    Review
  10. Latent modulation: a basis for non-disruptive promotion of two incompatible behaviors by a single network state.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2013
    Article
  11. Article
  12. Review
  13. Repetition priming of motoneuronal activity in a small motor network: intercellular and intracellular signaling.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2010
    Article
  14. Article
  15. Article
  16. Neuromechanical simulation.Frontiers in behavioral neuroscience · 2010
    Article
  17. Article
  18. Article
  19. Perception and hierarchical dynamics.Frontiers in neuroinformatics · 2009
    Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Alex ProektFishberg Department of Neuroscience, Mount Sinai School of Medicine, New York, New York, USA.
Jane Wong
Yuriy Zhurov
Nataliya Kozlova
Klaudiusz R Weiss
Vladimir Brezina

Funding

Functional dynamics of motor controlR01NS041497 · NINDS · MOUNT SINAI SCHOOL OF MEDICINE OF NYU · PI BREZINA, VLADIMIR · 2001 to 2010
$2.6M
NINDS NIH HHS R01 NS041497NINDS NIH HHS R01 NS41497
6 · The paper itself

Abstract

To generate adaptive behavior, the nervous system is coupled to the environment. The coupling constrains the dynamical properties that the nervous system and the environment must have relative to each other if adaptive behavior is to be produced. In previous computational studies, such constraints have been used to evolve controllers or artificial agents to perform a behavioral task in a given environment. Often, however, we already know the controller, the real nervous system, and its dynamics. Here we propose that the constraints can also be used to solve the inverse problem--to predict from the dynamics of the nervous system the environment to which they are adapted, and so reconstruct the production of the adaptive behavior by the entire coupled system. We illustrate how this can be done in the feeding system of the sea slug Aplysia. At the core of this system is a central pattern generator (CPG) that, with dynamics on both fast and slow time scales, integrates incoming sensory stimuli to produce ingestive and egestive motor programs. We run models embodying these CPG dynamics--in effect, autonomous Aplysia agents--in various feeding environments and analyze the performance of the entire system in a realistic feeding task. We find that the dynamics of the system are tuned for optimal performance in a narrow range of environments that correspond well to those that Aplysia encounter in the wild. In these environments, the slow CPG dynamics implement efficient ingestion of edible seaweed strips with minimal sensory information about them. The fast dynamics then implement a switch to a different behavioral mode in which the system ignores the sensory information completely and follows an internal "goal," emergent from the dynamics, to egest again a strip that proves to be inedible. Key predictions of this reconstruction are confirmed in real feeding animals.

Indexed as

Adaptation, PsychologicalAnimalsAplysiaBehavior, AnimalCentral Nervous SystemFeeding Behavior

Identifiers

PMID18989362
PMCPMC2576442

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.