2018
DOI: 10.1371/journal.pcbi.1006423
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The physiological variability of channel density in hippocampal CA1 pyramidal cells and interneurons explored using a unified data-driven modeling workflow

Abstract: Every neuron is part of a network, exerting its function by transforming multiple spatiotemporal synaptic input patterns into a single spiking output. This function is specified by the particular shape and passive electrical properties of the neuronal membrane, and the composition and spatial distribution of ion channels across its processes. For a variety of physiological or pathological reasons, the intrinsic input/output function may change during a neuron’s lifetime. This process results in high variabilit… Show more

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Cited by 105 publications
(212 citation statements)
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“…Thus, what may simply be regarded as biological variability or noise turns out, in fact, into a richness of properties that the circuit could exploit to carry out its internal computations (Getting, 1989;Yarom and Hounsgaard, 2011;Gjorgjieva et al, 2016). Similar considerations may apply to other neurons like those of the hippocampus (Migliore et al, 2018). A question that remains to be answered is now whether differentiated neuronal and synaptic properties are determined by neuromodulatory processes or induced by plasticity.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Thus, what may simply be regarded as biological variability or noise turns out, in fact, into a richness of properties that the circuit could exploit to carry out its internal computations (Getting, 1989;Yarom and Hounsgaard, 2011;Gjorgjieva et al, 2016). Similar considerations may apply to other neurons like those of the hippocampus (Migliore et al, 2018). A question that remains to be answered is now whether differentiated neuronal and synaptic properties are determined by neuromodulatory processes or induced by plasticity.…”
Section: Discussionmentioning
confidence: 99%
“…In a recent work (Masoli et al, 2017), automatic optimization procedures (Druckmann et al, 2007;Druckmann et al, 2011;Van Geit et al, 2016;Migliore et al, 2018) were applied to GrC models yielding a family of solutions with maximum ionic conductance values falling within the range of physiological variability. During short current injections (500-800 ms, as used in previous experiments), all GrC models conformed to the canonical firing pattern but, unexpectedly, prolonged current injections (2 sec) revealed a rich repertoire of adaptation properties.…”
Section: Introductionmentioning
confidence: 99%
“…In most encoding or homeostatic scenarios involving changes in constituent components, however, the functional outcome that is expected is a more quantitative readout of, say, firing rate or calcium concentration altered or returned to specific values . Therefore, a widely employed alternate interpretation (Basak & Narayanan, ; Foster et al, ; Goldman et al, ; Marder, ; Marder & Goaillard, ; Marder et al, ; Marder & Taylor, ; Migliore et al, ; Mishra & Narayanan, ; Mittal & Narayanan, ; Prinz et al, ; Rathour & Narayanan, ; Rathour & Narayanan, ; Srikanth & Narayanan, ; Taylor et al, ) is where degeneracy is assessed as the ability of different structural components to elicit quantitatively similar functional measurements. With reference to our chosen example, this would translate to assessing degeneracy as the ability to achieve a specific range of values of resonance frequency with disparate combinations of parameters (Figure b).…”
Section: Degeneracy: Foundations From the Perspective Of An Encoding mentioning
confidence: 99%
“…In addition to the example assessing degeneracy in resonance properties (Section 2.1-2.2, Figures 2 and 3), we could also consider the example of maintaining neuronal firing rates at specific levels. Whereas fast Na + and delayed rectifier K + channels mediate action potential firing in hippocampal neurons, their firing rate profiles are regulated by an array of ion channels including the A-type K + , HCN, GIRK, M-type K + and SK channels (Adelman, Maylie, & Sah, 2012;Gasparini & DiFrancesco, 1997;Gu, Vervaeke, Hu, & Storm, 2005;Hu, Vervaeke, & Storm, 2007;Kim & Johnston, 2015;Kim et al, 2005;Malik & Johnston, 2017;Migliore et al, 2018;Narayanan & Johnston, 2007;Rathour et al, 2016).…”
Section: Degeneracy In Neuronal Physiological Propertiesmentioning
confidence: 99%
“…Aspiny Cell from the mouse visual cortex. Medium spiny neuron from the mouse basal ganglia 54 ; two rat thalamocortical neurons 55 ; Golgi cell from mouse cerebellar cortex and one inhibitory hippocampal neuron from the rat 56 . We also took two additional neuron models from our laboratory: rat L2/3 large basket cell 57 and a model of a human L2/3 pyramidal cell from the temporal cortex 58 .…”
Section: Neuron-reduce Can Be Implemented Successfully On a Variety Omentioning
confidence: 99%