Evidence map›Paper›PMID 42322477›Full record

ArticleJournal of computational neuroscience2026

Modeling developmental spiking behavior driven by ionic current dynamics of mouse and human inner hair cells using a calcium-enhanced Izhikevich framework.

Sneha Singh, Biswajit Das, Soumik Roy

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Article in Journal of computational neuroscience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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

3 authors.

Sneha SinghDepartment of Electronics and Communication Engineering, Tezpur University, Dist- Sonitpur, Tezpur, Assam, 784028, India. snehasinghdec05@gmail.com.ORCID http://orcid.org/0009-0001-8956-3971
Biswajit DasDepartment of Electronics and Communication Engineering, Tezpur University, Dist- Sonitpur, Tezpur, Assam, 784028, India.ORCID http://orcid.org/0000-0002-8183-0860
Soumik RoyDepartment of Electronics and Communication Engineering, Tezpur University, Dist- Sonitpur, Tezpur, Assam, 784028, India.ORCID http://orcid.org/0000-0003-1778-6233

Funding

The Department of Science and Technology, Government of India. IF230180
6 · The paper itself

Abstract

Hearing loss (HL) is the third leading cause of years lived with disability worldwide, underscoring the critical need for comprehensive research to unravel the developmental mechanisms that shape auditory function. This work presents a biologically grounded yet computationally efficient model of the inner hair cell (IHC) maturation in the mammalian (Mouse and Human) cochlea replicating the temporal dynamics of spiking suppression along with membrane behaviour accurately. A hybrid modeling framework combining the spiking dynamics of the modified Izhikevich model with bio-physically inspired ionic currents is analysed in this study. The proposed model particularly emphasizes on the significance of calcium-induced potassium currents ([Formula: see text]) which are critical for early developmental excitability. The current study focuses on neonatal mice, reproducing key features of IHC electrophysiology which includes spontaneous action potential (AP) firing at postnatal day 7 (P7) and generation of graded action potentials by day 14(P14) and day 21(P21) stages. The model is further extended to human fetal IHCs at neonatal, mid-mature and adult stages. Unlike in rodents, human IHCs undergo significant maturation inside utero. Furthermore, the results from the current work aligns closely with available in vitro electro-physiological data, membrane potential profiles, intracellular calcium transients and delayed rectifier potassium currents. The proposed framework enables the study of auditory encoding development which may be used to mimic congenital hearing loss(HL) and guide the creation of auditory prostheses.

Indexed as

Action PotentialsCalciumHair Cells, Auditory, InnerModels, NeurologicalAnimalsAnimals, NewbornCochleaHumansMembrane PotentialsMiceCalciumAction potentialCalcium induced potassium currentCochleaDelayed rectifier potassium currentsInner hair cellModified Izhikevich model

Identifiers

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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.