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Linear vs non-linear integration in CA1 oblique dendrites (Gómez González et al. 2011)
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Model Information
Model File
Accession:
144450
The hippocampus in well known for its role in learning and memory processes. The CA1 region is the output of the hippocampal formation and pyramidal neurons in this region are the elementary units responsible for the processing and transfer of information to the cortex. Using this detailed single neuron model, it is investigated the conditions under which individual CA1 pyramidal neurons process incoming information in a complex (non-linear) as opposed to a passive (linear) manner. This detailed compartmental model of a CA1 pyramidal neuron is based on one described previously (Poirazi, 2003). The model was adapted to five different reconstructed morphologies for this study, and slightly modified to fit the experimental data of (Losonczy, 2006), and to incorporate evidence in pyramidal neurons for the non-saturation of NMDA receptor-mediated conductances by single glutamate pulses. We first replicate the main findings of (Losonczy, 2006), including the very brief window for nonlinear integration using single-pulse stimuli. We then show that double-pulse stimuli increase a CA1 pyramidal neuron’s tolerance for input asynchrony by at last an order of magnitude. Therefore, it is shown using this model, that the time window for nonlinear integration is extended by more than an order of magnitude when inputs are short bursts as opposed to single spikes.
Reference:
1 .
Gómez González JF, Mel BW, Poirazi P (2011) Distinguishing Linear vs. Non-Linear Integration in CA1 Radial Oblique Dendrites: It's about Time.
Front Comput Neurosci
5
:44
[
PubMed
]
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Model Information
(Click on a link to find other models with that property)
Model Type:
Neuron or other electrically excitable cell;
Brain Region(s)/Organism:
Cell Type(s):
Hippocampus CA1 pyramidal GLU cell;
Channel(s):
I Na,p;
I CAN;
I Sodium;
I Calcium;
I Potassium;
I_AHP;
Gap Junctions:
Receptor(s):
NMDA;
Gene(s):
Transmitter(s):
Simulation Environment:
NEURON;
Model Concept(s):
Active Dendrites;
Detailed Neuronal Models;
Synaptic Integration;
Implementer(s):
Search NeuronDB
for information about:
Hippocampus CA1 pyramidal GLU cell
;
NMDA
;
I Na,p
;
I CAN
;
I Sodium
;
I Calcium
;
I Potassium
;
I_AHP
;
/
CA1_Gomez_2011
template
BasalPath.hoc
EPSPTuning.hoc
*
Other models using EPSPTuning.hoc:
CA1 pyramidal neuron: as a 2-layer NN and subthreshold synaptic summation (Poirazi et al 2003)
CA1 pyramidal neuron: synaptically-induced bAP predicts synapse location (Sterratt et al. 2012)
Modelling reduced excitability in aged CA1 neurons as a Ca-dependent process (Markaki et al. 2005)
ExperimentControl.hoc
ObliquePath.hoc
*
Other models using ObliquePath.hoc:
Active dendrites shape signaling microdomains in hippocampal neurons (Basak & Narayanan 2018)
Amyloid-beta effects on release probability and integration at CA3-CA1 synapses (Romani et al. 2013)
CA1 pyramidal neuron (Combe et al 2018)
CA1 pyramidal neuron: as a 2-layer NN and subthreshold synaptic summation (Poirazi et al 2003)
CA1 pyramidal neuron: dendritic Ca2+ inhibition (Muellner et al. 2015)
CA1 pyramidal neuron: depolarization block (Bianchi et al. 2012)
CA1 pyramidal neuron: synaptic plasticity during theta cycles (Saudargiene et al. 2015)
CA1 pyramidal neuron: synaptically-induced bAP predicts synapse location (Sterratt et al. 2012)
Chirp stimulus responses in a morphologically realistic model (Narayanan and Johnston, 2007)
Modelling reduced excitability in aged CA1 neurons as a Ca-dependent process (Markaki et al. 2005)
RangeRef.hoc
*
Other models using RangeRef.hoc:
Amyloid-beta effects on release probability and integration at CA3-CA1 synapses (Romani et al. 2013)
CA1 pyramidal neuron: as a 2-layer NN and subthreshold synaptic summation (Poirazi et al 2003)
CA1 pyramidal neuron: depolarization block (Bianchi et al. 2012)
CA1 pyramidal neuron: synaptically-induced bAP predicts synapse location (Sterratt et al. 2012)
Layer V PFC pyramidal neuron used to study persistent activity (Sidiropoulou & Poirazi 2012)
Modelling reduced excitability in aged CA1 neurons as a Ca-dependent process (Markaki et al. 2005)
SynapseBand.hoc
*
Other models using SynapseBand.hoc:
Layer V PFC pyramidal neuron used to study persistent activity (Sidiropoulou & Poirazi 2012)
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