Evidence map›Paper›PMID 16871350›Full record

ArticleJournal of computational neuroscience2006

Computational simulation of the input-output relationship in hippocampal pyramidal cells.

Xiaoshen Li, Giorgio A Ascoli

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of computational neuroscience, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.5field-weighted citation impact, top 21% 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

13 citing papers in PubMed, 32 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Functional impact of dendritic branch-point morphology.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2013
    Article
  5. Article
  6. Review
  7. Pooling and correlated neural activity.Frontiers in computational neuroscience · 2010
    Article
  8. Article
  9. Article
  10. Article
  11. Neuroinformatics: from bioinformatics to databasing the brain.Bioinformatics and biology insights · 2008
    Article
  12. Article
  13. Review
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 2 institutions in 1 country.

Xiaoshen LiKrasnow Institute for Advanced Study, George Mason University, Fairfax, VA 22030-4444, USA.
Giorgio A Ascoli
George Mason University · USInstitute for Advanced Study · US

Funding

Generation and Description of Neuronal Morphology and ConnectivityR01NS039600 · NINDS · GEORGE MASON UNIVERSITY · PI ASCOLI, GIORGIO A · 1999 to 2024
$6.9M
CRCNS: Input/Output Relationship in CA3 Pyramidal CellsR01AG025633 · NIA · GEORGE MASON UNIVERSITY · PI ASCOLI, GIORGIO A · 2004 to 2008
$1.5M
NIA NIH HHS AG025633NINDS NIH HHS NS39600
6 · The paper itself

Abstract

The precise mapping of how complex patterns of synaptic inputs are integrated into specific patterns of spiking output is an essential step in the characterization of the cellular basis of network dynamics and function. Relative to other principal neurons of the hippocampus, the electrophysiology of CA1 pyramidal cells has been extensively investigated. Yet, the precise input-output relationship is to date unknown even for this neuronal class. CA1 pyramidal neurons receive laminated excitatory inputs from three distinct pathways: recurrent CA1 collaterals on basal dendrites, CA3 Schaffer collaterals, mostly on oblique and proximal apical dendrites, and entorhinal perforant pathway on distal apical dendrites. We implemented detailed computer simulations of pyramidal cell electrophysiology based on three-dimensional anatomical reconstructions and compartmental models of available biophysical properties from the experimental literature. To investigate the effect of synaptic input on axosomatic firing, we stochastically distributed a realistic number of excitatory synapses in each of the three dendritic layers. We then recorded the spiking response to different stimulation patterns. For all dendritic layers, synchronous stimuli resulted in trains of spiking output and a linear relationship between input and output firing frequencies. In contrast, asynchronous stimuli evoked non-bursting spike patterns and the corresponding firing frequency input-output function was logarithmic. The regular/irregular nature of the input synaptic intervals was only reflected in the regularity of output inter-burst intervals in response to synchronous stimulation, and never affected firing frequency. Synaptic stimulations in the basal and proximal apical trees across individual neuronal morphologies yielded remarkably similar input-output relationships. Results were also robust with respect to the detailed distributions of dendritic and synaptic conductances within a plausible range constrained by experimental evidence. In contrast, the input-output relationship in response to distal apical stimuli showed dramatic differences from the other dendritic locations as well as among neurons, and was more sensible to the exact channel densities.

Indexed as

Neural Networks, ComputerAction PotentialsAnimalsCell MembraneCortical SynchronizationDendritesHippocampusHumansIon ChannelsNeural PathwaysPresynaptic TerminalsPyramidal CellsSynapsesSynaptic TransmissionTime FactorsIon Channels

Identifiers

PMID16871350
OpenAlexW1988285827

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.