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Cited by 264Neural dynamics and brain functionstochastic dynamics and bifurcationNeuroscience and Neuropharmacology Research

The DOI matches its Crossref record; 58 of the 59 references it cites were found in a registry or an index.

Neocortical Pyramidal Cells Respond as Integrate-and-Fire Neurons to In Vivo–Like Input Currents

Rauch, Alexander, La Camera, Giancarlo, Lüscher, Hans-Rudolf, Senn, Walter, Fusi, Stefano·2003·Journal of Neurophysiology
DOI 10.1152/jn.00293.2003
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Abstract

In the intact brain neurons are constantly exposed to intense synaptic activity. This heavy barrage of excitatory and inhibitory inputs was recreated in vitro by injecting a noisy current, generated as an Ornstein–Uhlenbeck process, into the soma of rat neocortical pyramidal cells. The response to such in vivo–like currents was studied systematically by analyzing the time development of the instantaneous spike frequency, and when possible, the stationary mean spike frequency as a function of both the mean and the variance of the input current. All cells responded with an in vivo–like action potential activity with stationary statistics that could be sustained throughout long stimulation intervals (tens of seconds), provided the frequencies were not too high. The temporal evolution of the response revealed the presence of mechanisms of fast and slow spike frequency adaptation, and a medium duration mechanism of facilitation. For strong input currents, the slow adaptation mechanism made the spike frequency response nonstationary. The minimal frequencies that caused strong slow adaptation (a decrease in the spike rate by more than 1 Hz/s), were in the range 30–80 Hz and depended on the pipette solution used. The stationary response function has been fitted by two simple models of integrate-and-fire neurons endowed with a frequency-dependent modification of the input current. This accounts for all the fast and slow mechanisms of adaptation and facilitation that determine the stationary response, and proved necessary to fit the model to the experimental data. The coefficient of variability of the interspike interval was also in part captured by the model neurons, by tuning the parameters of the model to match the mean spike frequencies only. We conclude that the integrate-and-fire model with spike-frequency–dependent adaptation/facilitation is an adequate model reduction of cortical cells when the mean spike-frequency response to in vivo–like currents with stationary statistics is considered.

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Metadata

Authors
Rauch, A., La Camera, G., Lüscher, H.-R., Senn, W., & Fusi, S.
Affiliations
  • University of Bern (CH)
  • Institute of Physiology, University of Bern, 3012 Bern, Switzerland
ORCID
Venue
Journal of Neurophysiology
Publisher
American Physiological Society
Published
2003-09
Volume
90
Issue
3
Pages
1598-1612
ISSN
  • 0022-3077 (ISSN-L)
  • 1522-1598
DOI
10.1152/jn.00293.2003
OpenAlex
W2120259469
Cited by
264
References
59
Citations by year
2026: 2 · 2025: 3 · 2024: 10 · 2023: 15 · 2022: 9 · 2021: 6 · 2020: 8 · 2019: 10 · 2018: 9 · 2017: 14 · 2016: 20 · 2015: 12 · 2014: 13 · 2013: 8 · 2012: 6
FWCI
7.83
Type
journal article
Language
en
Open access
closed
Locations
  • Journal of Neurophysiology (publishedVersion)
  • PubMed (publishedVersion)
  • BORIS (University Library Bern) (submittedVersion)
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
  • Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › stochastic dynamics and bifurcation
  • Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
Keywords
neocortical pyramidal cells, integrate-and-fire neuron model, spike frequency adaptation, facilitation, Ornstein-Uhlenbeck process, coefficient of variation, synaptic noise, rat neocortex
MeSH terms
Action Potentials, Animals, Female, Male, Models, Biological, Neurons, Rats, Wistar, Pyramidal Cells, Neocortex, Rats, In Vitro Techniques

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