Evidence map›Paper›PMID 22438838›Full record

ArticleFrontiers in systems neuroscience2012

Input dependent cell assembly dynamics in a model of the striatal medium spiny neuron network.

Adam Ponzi, Jeff Wickens

Open access · goldAbstract read
In one paragraph

Article in Frontiers in systems neuroscience, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
1.3field-weighted citation impact, top 23% of its field
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

18 citing papers in PubMed, 33 citations in OpenAlex.

  1. Pathological cell assembly dynamics in a striatal MSN network model.Frontiers in computational neuroscience · 2024
    Article
  2. Article
  3. Article
  4. Ramping activity in the striatum.Frontiers in computational neuroscience · 2022
    Article
  5. Striatal network modeling in Huntington's Disease.PLoS computational biology · 2020
    Article
  6. Article
  7. Identification and Characterization of a Novel Spontaneously Active Bursty GABAergic Interneuron in the Mouse Striatum.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2018
    Article
  8. Review
  9. Differential Encoding of Time by Prefrontal and Striatal Network Dynamics.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2017
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Olfactory maps, circuits and computations.Current opinion in neurobiology · 2014
    Review
  15. Article
  16. Article
  17. Article
  18. 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

2 authors at 1 institution in 1 country.

Adam PonziNeurobiology Research Unit, Okinawa Institute of Science and Technology Okinawa, Japan.
Jeff Wickens
Okinawa Institute of Science and Technology Graduate University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The striatal medium spiny neuron (MSN) network is sparsely connected with fairly weak GABAergic collaterals receiving an excitatory glutamatergic cortical projection. Peri-stimulus time histograms (PSTH) of MSN population response investigated in various experimental studies display strong firing rate modulations distributed throughout behavioral task epochs. In previous work we have shown by numerical simulation that sparse random networks of inhibitory spiking neurons with characteristics appropriate for UP state MSNs form cell assemblies which fire together coherently in sequences on long behaviorally relevant timescales when the network receives a fixed pattern of constant input excitation. Here we first extend that model to the case where cortical excitation is composed of many independent noisy Poisson processes and demonstrate that cell assembly dynamics is still observed when the input is sufficiently weak. However if cortical excitation strength is increased more regularly firing and completely quiescent cells are found, which depend on the cortical stimulation. Subsequently we further extend previous work to consider what happens when the excitatory input varies as it would when the animal is engaged in behavior. We investigate how sudden switches in excitation interact with network generated patterned activity. We show that sequences of cell assembly activations can be locked to the excitatory input sequence and outline the range of parameters where this behavior is shown. Model cell population PSTH display both stimulus and temporal specificity, with large population firing rate modulations locked to elapsed time from task events. Thus the random network can generate a large diversity of temporally evolving stimulus dependent responses even though the input is fixed between switches. We suggest the MSN network is well suited to the generation of such slow coherent task dependent response which could be utilized by the animal in behavior.

Indexed as

cell assemblycomputational modelinginhibitionmedium spiny neuronpopulation dynamicsspiking networkstriatum

Identifiers

PMID22438838
PMCPMC3306002
OpenAlexW1985252169

What OpenQuestion holds

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LicenceCC BY-NC
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.