Spike generation estimated from stationary spike trains in a variety of neurons in vivo
(2014) In Frontiers in Cellular Neuroscience 8.- Abstract
- To any model of brain function, the variability of neuronal spike firing is a problem that needs to be taken into account. Whereas the synaptic integration can be described in terms of the original Hodgkin-Huxley (H-H) formulations of conductance-based electrical signaling, the transformation of the resulting membrane potential into patterns of spike output is subjected to stochasticity that may not be captured with standard single neuron H-H models. The dynamics of the spike output is dependent on the normal background synaptic noise present in vivo, but the neuronal spike firing variability in vivo is not well studied. In the present study, we made long-term whole cell patch clamp recordings of stationary spike firing states across a... (More)
- To any model of brain function, the variability of neuronal spike firing is a problem that needs to be taken into account. Whereas the synaptic integration can be described in terms of the original Hodgkin-Huxley (H-H) formulations of conductance-based electrical signaling, the transformation of the resulting membrane potential into patterns of spike output is subjected to stochasticity that may not be captured with standard single neuron H-H models. The dynamics of the spike output is dependent on the normal background synaptic noise present in vivo, but the neuronal spike firing variability in vivo is not well studied. In the present study, we made long-term whole cell patch clamp recordings of stationary spike firing states across a range of membrane potentials from a variety of subcortical neurons in the non-anesthetized, decerebrated state in vivo. Based on the data, we formulated a simple, phenomenological model of the properties of the spike generation in each neuron that accurately captured the stationary spike firing statistics across all membrane potentials. The model consists of a parametric relationship between the mean and standard deviation of the inter-spike intervals, where the parameter is linearly related to the injected current over the membrane. This enabled it to generate accurate approximations of spike firing also under inhomogeneous conditions with input that varies over time. The parameters describing the spike firing statistics for different neuron types overlapped extensively, suggesting that the spike generation had similar properties across neurons. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/4590656
- author
- Spanne, Anton LU ; Geborek, Pontus LU ; Bengtsson, Fredrik LU and Jörntell, Henrik LU
- organization
- publishing date
- 2014
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- spike firing statistics, stochasticity, spinal interneurons, purkinje, cells, golgi cells, molecular layer interneurons, synaptic integration, whole cell recordings in vivo
- in
- Frontiers in Cellular Neuroscience
- volume
- 8
- article number
- 199
- publisher
- Frontiers Media S. A.
- external identifiers
-
- wos:000339425800001
- pmid:25120429
- scopus:84904972428
- pmid:25120429
- ISSN
- 1662-5102
- DOI
- 10.3389/fncel.2014.00199
- language
- English
- LU publication?
- yes
- id
- 5bad4e2b-ccc3-4cda-ae09-1cf490b3d49d (old id 4590656)
- alternative location
- http://www.ncbi.nlm.nih.gov/pubmed/25120429?dopt=Abstract
- date added to LUP
- 2016-04-01 13:56:04
- date last changed
- 2022-04-22 00:32:44
@article{5bad4e2b-ccc3-4cda-ae09-1cf490b3d49d,
abstract = {{To any model of brain function, the variability of neuronal spike firing is a problem that needs to be taken into account. Whereas the synaptic integration can be described in terms of the original Hodgkin-Huxley (H-H) formulations of conductance-based electrical signaling, the transformation of the resulting membrane potential into patterns of spike output is subjected to stochasticity that may not be captured with standard single neuron H-H models. The dynamics of the spike output is dependent on the normal background synaptic noise present in vivo, but the neuronal spike firing variability in vivo is not well studied. In the present study, we made long-term whole cell patch clamp recordings of stationary spike firing states across a range of membrane potentials from a variety of subcortical neurons in the non-anesthetized, decerebrated state in vivo. Based on the data, we formulated a simple, phenomenological model of the properties of the spike generation in each neuron that accurately captured the stationary spike firing statistics across all membrane potentials. The model consists of a parametric relationship between the mean and standard deviation of the inter-spike intervals, where the parameter is linearly related to the injected current over the membrane. This enabled it to generate accurate approximations of spike firing also under inhomogeneous conditions with input that varies over time. The parameters describing the spike firing statistics for different neuron types overlapped extensively, suggesting that the spike generation had similar properties across neurons.}},
author = {{Spanne, Anton and Geborek, Pontus and Bengtsson, Fredrik and Jörntell, Henrik}},
issn = {{1662-5102}},
keywords = {{spike firing statistics; stochasticity; spinal interneurons; purkinje; cells; golgi cells; molecular layer interneurons; synaptic integration; whole cell recordings in vivo}},
language = {{eng}},
publisher = {{Frontiers Media S. A.}},
series = {{Frontiers in Cellular Neuroscience}},
title = {{Spike generation estimated from stationary spike trains in a variety of neurons in vivo}},
url = {{https://lup.lub.lu.se/search/files/3674301/7864275.pdf}},
doi = {{10.3389/fncel.2014.00199}},
volume = {{8}},
year = {{2014}},
}