Evidence map›Paper›PMID 41248174›Full record

ArticlePLoS computational biology2025

In vivo neural activity of electrosensory pyramidal cells: Biophysical characterization and phenomenological modeling.

Amin Akhshi, Michael G Metzen, Maurice J Chacron, Anmar Khadra

Abstract read
In one paragraph

Article in PLoS computational biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Small-Conductance CaNeuroscience bulletin · 2026
    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

4 authors.

Amin AkhshiDepartment of Physiology, McGill University, Montreal, Quebec, Canada.ORCID 0000-0002-6995-3884
Michael G MetzenDepartment of Physiology, McGill University, Montreal, Quebec, Canada.ORCID 0000-0002-2365-4192
Maurice J ChacronDepartment of Physiology, McGill University, Montreal, Quebec, Canada.ORCID 0000-0002-3032-452X
Anmar KhadraDepartment of Physiology, McGill University, Montreal, Quebec, Canada.ORCID 0000-0002-8228-9914

Funding

Canadian Institutes of Health Research (CIHR)Fonds de Recherche du Québec – Nature et Technologies (FRQNT)Healthy Brains Healthy Lives (HBHL)Natural Sciences and Engineering Research Council of Canada (NSERC)NSERC-CREATE in Complex Dynamics
6 · The paper itself

Abstract

Burst firing is an important property of neuronal activity, thought to enhance sensory encoding. While previous studies show significant differences in burst firing between in vivo and in vitro conditions, how burst firing contributes to neural coding in vivo and how it is modulated by underlying biophysical mechanisms when neurons are under active synaptic bombardments remains poorly understood. Here, we combined intracellular recordings and computational modeling to investigate how cellular and synaptic mechanisms can explain the in vivo firing activity of electrosensory lateral line lobe (ELL) pyramidal cells in Apteronotus leptorhynchus. We developed a biophysically detailed compartmental model incorporating voltage-gated currents, NMDA receptor-mediated calcium (Ca2 + ) influx, Ca2 + -activated SK channels, Ca2 +  mobilization, and stochastic synaptic inputs to reproduce in vivo firing activities of ELL pyramidal cells. Specifically, using bifurcation analysis, we identified dynamical transitions between quiescent, tonic, and bursting regimes, governed by interactions among SK conductance, NMDA receptor activation, and applied current. Model parameters were optimized against in vivo data, accurately reproducing action potential waveforms and temporal dynamics, including characteristic bimodal interspike interval distributions reflecting intra- and inter-burst intervals. We further developed a modified Hindmarsh-Rose model incorporating dual adaptation variables and stochastic noise. This simplified phenomenological model successfully captured burst firing comparable to that observed in the biophysical model and recorded data, while replicating diverse firing patterns observed across the population. Finally, parameter sensitivity analysis revealed slow adaptation dynamics and noise intensity as key determinants of spiking variability within cells. Overall, our modeling results demonstrate that in vivo bursting arises from synergistic interactions between intrinsic conductances (e.g., NMDA-SK coupling), Ca2 +  mobilization, and synaptic stochasticity, offering a potential reconciliation for discrepancies with in vitro firing activity. The models provide mechanistic insights into how background synaptic activity modulates burst firing.

Indexed as

Action PotentialsElectric FishModels, NeurologicalPyramidal CellsAnimalsCalciumComputational BiologyComputer SimulationReceptors, N-Methyl-D-AspartateCalciumReceptors, N-Methyl-D-Aspartate

Identifiers

PMID41248174
PMCPMC12633970

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.