Computational implications of biophysical diversity and multiple timescales in neurons and synapses for circuit performance
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Despite advances in experimental and theoretical neuroscience, we are still trying to identify key biophysical details that are important for characterizing the operation of brain circuits. Biological mechanisms at the level of single neurons and synapses can be combined as 'building blocks' to generate circuit function. We focus on the importance of capturing multiple timescales when describing these intrinsic and synaptic components. Whether inherent in the ionic currents, the neuron's complex morphology, or the neurotransmitter composition of synapses, these multiple timescales prove crucial for capturing the variability and richness of circuit output and enhancing the information-carrying capacity observed across nervous systems.
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The addition of new human cell types, or specialization of existing types through major modification of cellular features, would be expected to alter circuit function and therefore cannot be studied in rodents.
“Addition of new human cell types, or specialization of existing types through major modification of cellular features, would be expected to alter circuit function3,43,44, and therefore cannot be studied in rodents.”
From Transcriptomic and morphophysiological evidence for a specialized human cortical GABAergic cell type (2018) · cites this paper as [44]
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- Authors
- Gjorgjieva, J., Drion, G., & Marder, E.
- Affiliations
- Brandeis University (US)
- University of Liège (BE)
- Corresponding author
- Marder, Eve
- Venue
- Current Opinion in Neurobiology
- Publisher
- Elsevier BV
- Published
- 2016-04
- Volume
- 37
- Pages
- 44-52
- ISSN
- 0959-4388 (ISSN-L)
- PMC
- PMC4860045
- OpenAlex
- W2296682098
- Cited by
- 127
- References
- 96
- Citations by year
- 2026: 8 · 2025: 10 · 2024: 12 · 2023: 17 · 2022: 9 · 2021: 14 · 2020: 10 · 2019: 13 · 2018: 13 · 2017: 15 · 2016: 6
- FWCI
- 1.65
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Current Opinion in Neurobiology (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- ORBi (University of Liège) (submittedVersion, other-oa)
- MPG.PuRe (Max Planck Society) (submittedVersion)
- Funders
- NIH (NS17813)
- Swartz Foundation
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Advanced Memory and Neural Computing
- Keywords
- multiple time scales, synaptic variability, brain circuits, circuit performance, ionic currents, neuronal morphology, information capacity, computational neuroscience
- MeSH terms
- Humans, Neurons, Synapses, Time, Biophysical Phenomena
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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