Thermodynamically Equivalent Silicon Models of Voltage-Dependent Ion Channels
We model ion channels in silicon by exploiting similarities between the thermodynamic principles that govern ion channels and those that govern transistors. Using just eight transistors, we replicate—for the first time in silicon—the sigmoidal voltage dependence of activation (or inactivation) and the bell-shaped voltage-dependence of its time constant. We derive equations describing the dynamics of our silicon analog and explore its flexibility by varying various parameters. In addition, we validate the design by implementing a channel with a single activation variable. The design's compactness allows tens of thousands of copies to be built on a single chip, facilitating the study of biologically realistic models of neural computation at the network level in silicon.
Top-30
Journals
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IEEE Transactions on Circuits and Systems I: Regular Papers
3 publications, 9.09%
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Neurocomputing
2 publications, 6.06%
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Frontiers in Neuroscience
1 publication, 3.03%
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Scientific Reports
1 publication, 3.03%
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Neuromorphic Computing and Engineering
1 publication, 3.03%
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Organic Electronics
1 publication, 3.03%
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Current Opinion in Neurobiology
1 publication, 3.03%
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Physics Letters, Section A: General, Atomic and Solid State Physics
1 publication, 3.03%
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Journal of Physical Chemistry B
1 publication, 3.03%
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HFSP Journal
1 publication, 3.03%
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IEEE Transactions on Biomedical Engineering
1 publication, 3.03%
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IEEE Transactions on Biomedical Circuits and Systems
1 publication, 3.03%
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IEEE Transactions on Electron Devices
1 publication, 3.03%
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Proceedings of the IEEE
1 publication, 3.03%
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Computing in Science and Engineering
1 publication, 3.03%
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Proceedings of the National Academy of Sciences of the United States of America
1 publication, 3.03%
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Journal of Neuroscience
1 publication, 3.03%
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Biophysical Reports
1 publication, 3.03%
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Circuits, Systems, and Signal Processing
1 publication, 3.03%
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Mesoscience and Nanotechnology
1 publication, 3.03%
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Publishers
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Institute of Electrical and Electronics Engineers (IEEE)
13 publications, 39.39%
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Elsevier
6 publications, 18.18%
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Wiley
3 publications, 9.09%
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Springer Nature
2 publications, 6.06%
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Frontiers Media S.A.
1 publication, 3.03%
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IOP Publishing
1 publication, 3.03%
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American Chemical Society (ACS)
1 publication, 3.03%
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Taylor & Francis
1 publication, 3.03%
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AIP Publishing
1 publication, 3.03%
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Proceedings of the National Academy of Sciences (PNAS)
1 publication, 3.03%
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Cold Spring Harbor Laboratory
1 publication, 3.03%
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Society for Neuroscience
1 publication, 3.03%
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Treatise
1 publication, 3.03%
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- We do not take into account publications without a DOI.
- Statistics recalculated only for publications connected to researchers, organizations and labs registered on the platform.
- Statistics recalculated weekly.