Evidence map›Paper›PMID 16077159›Full record

ArticleNeuroinformatics2005

Spatial navigation and causal analysis in a brain-based device modeling cortical-hippocampal interactions.

Jeffrey L Krichmar, Anil K Seth, Douglas A Nitz, Jason G Fleischer, Gerald M Edelman

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in Neuroinformatics, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Unlocking neural complexity with a robotic key.The Journal of physiology · 2016
    Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Odor supported place cell model and goal navigation in rodents.Journal of computational neuroscience · 2008
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Causal networks in simulated neural systems.Cognitive neurodynamics · 2008
    Article
  18. Retrospective and prospective responses arising in a modeled hippocampus during maze navigation by a brain-based device.Proceedings of the National Academy of Sciences of the United States of America · 2007
    Article
  19. Article
  20. Characterizing functional hippocampal pathways in a brain-based device as it solves a spatial memory task.Proceedings of the National Academy of Sciences of the United States of America · 2005
    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

5 authors.

Jeffrey L KrichmarThe Neurosciences Institute, 10640 John J. Hopkins Drive, San Diego, CA 92121, USA. krichmar@nsi.edu
Anil K Seth
Douglas A Nitz
Jason G Fleischer
Gerald M Edelman

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We describe Darwin X, a physical device that interacts with a real environment, whose behavior is guided by a simulated nervous system incorporating aspects of the detailed anatomy and physiology of the hippocampus and its surrounding regions. This brain-based device integrates cues from its environment and solves a spatial memory task. The responses of simulated neuronal units in the hippocampal areas during its exploratory behavior are comparable to place cells in the rodent hippocampus and emerged by associating sensory cues during exploration. To identify different functional hippocampal pathways and their influence on behavior, we employed a time series analysis that distinguishes causal interactions within and between simulated hippocampal and neocortical regions while the device is engaged in a spatial memory task. Our analysis identified different functional pathways within the neural simulation and prompts novel predictions about the influence of the perforant path, the trisynaptic loop and hippocampal-cortical interactions on place cell activity and behavior during navigation. Moreover, this causal time series analysis may be useful in analyzing networks in general.

Indexed as

Artificial IntelligenceNeural Networks, ComputerAnimalsBehavior, AnimalCerebral CortexComputer SimulationHippocampusHumansModels, NeurologicalSpace PerceptionSpatial Behavior

Identifiers

PMID16077159

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.