Journal article
Modeling the Short-Term Dynamics of in Vivo Excitatory Spike Transmission
The Journal of neuroscience, Vol.40(21), pp.4185-4202
05/20/2020
DOI: 10.1523/JNEUROSCI.1482-19.2020
PMID: 32303648
Abstract
Information transmission in neural networks is influenced by both short-term synaptic plasticity (STP) as well as nonsynaptic factors, such as after-hyperpolarization currents and changes in excitability. Although these effects have been widely characterized
using intracellular recordings, how they interact
is unclear. Here, we develop a statistical model of the short-term dynamics of spike transmission that aims to disentangle the contributions of synaptic and nonsynaptic effects based only on observed presynaptic and postsynaptic spiking. The model includes a dynamic functional connection with short-term plasticity as well as effects due to the recent history of postsynaptic spiking and slow changes in postsynaptic excitability. Using paired spike recordings, we find that the model accurately describes the short-term dynamics of
spike transmission at a diverse set of identified and putative excitatory synapses, including a pair of connected neurons within thalamus in mouse, a thalamocortical connection in a female rabbit, and an auditory brainstem synapse in a female gerbil. We illustrate the utility of this modeling approach by showing how the spike transmission patterns captured by the model may be sufficient to account for stimulus-dependent differences in spike transmission in the auditory brainstem (endbulb of Held). Finally, we apply this model to large-scale multielectrode recordings to illustrate how such an approach has the potential to reveal cell type-specific differences in spike transmission
Although STP parameters estimated from ongoing presynaptic and postsynaptic spiking are highly uncertain, our results are partially consistent with previous intracellular observations in these synapses.
Although synaptic dynamics have been extensively studied and modeled using intracellular recordings of postsynaptic currents and potentials, inferring synaptic effects from extracellular spiking is challenging. Whether or not a synaptic current contributes to postsynaptic spiking depends not only on the amplitude of the current, but also on many other factors, including the activity of other, typically unobserved, synapses, the overall excitability of the postsynaptic neuron, and how recently the postsynaptic neuron has spiked. Here, we developed a model that, using only observations of presynaptic and postsynaptic spiking, aims to describe the dynamics of
spike transmission by modeling both short-term synaptic plasticity (STP) and nonsynaptic effects. This approach may provide a novel description of fast, structured changes in spike transmission.
Details
- Title: Subtitle
- Modeling the Short-Term Dynamics of in Vivo Excitatory Spike Transmission
- Creators
- Abed Ghanbari - Department of Biomedical EngineeringNaixin Ren - Department of Psychological Sciences, University of Connecticut, Storrs, CT 06268Christian Keine - Carver College of Medicine, Iowa Neuroscience Institute, Department of Anatomy and Cell Biology, University of Iowa, Iowa, IA 52242Carl Stoelzel - Department of Psychological Sciences, University of Connecticut, Storrs, CT 06268Bernhard Englitz - Department of Neurophysiology, Donders Institute for Brain, Cognition and Behavior, Radboud University, 6525 AJ Nijmegen, NetherlandsHarvey A Swadlow - Department of Psychological Sciences, University of Connecticut, Storrs, CT 06268Ian H Stevenson - Department of Psychological Sciences, University of Connecticut, Storrs, CT 06268
- Resource Type
- Journal article
- Publication Details
- The Journal of neuroscience, Vol.40(21), pp.4185-4202
- Publisher
- United States
- DOI
- 10.1523/JNEUROSCI.1482-19.2020
- PMID
- 32303648
- ISSN
- 0270-6474
- eISSN
- 1529-2401
- Language
- English
- Date published
- 05/20/2020
- Academic Unit
- Anatomy and Cell Biology
- Record Identifier
- 9984071795302771
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