Literature DB >> 16262641

Distinct properties of two major excitatory inputs to hippocampal pyramidal cells: a computational study.

Szabolcs Káli1, Tamás F Freund.   

Abstract

The two main sources of excitatory input to CA1 pyramidal cells, the Schaffer collaterals (SC) and the perforant path (PP), target different regions of the dendritic tree. This spatial segregation may have important consequences for the way in which different inputs affect the activity of principal neurons. We constructed detailed biophysical models of CA1 pyramidal cells, incorporating a variety of active conductances, and investigated the ability of synapses located in different dendritic segments to elicit a somatic voltage response. Synaptic efficacy as seen by the soma was strongly dependent on the site of the synapse, with PP inputs being more severely attenuated than SC inputs. Variability within SC inputs, but not between SC inputs and PP inputs, could be eliminated by appropriate scaling of synaptic efficacy. The spatial and temporal summation of multiple synaptic inputs was also investigated. While summation of SC inputs was linear up to the somatic spike threshold, PP inputs summed in a strongly sublinear fashion, with the somatic response remaining subthreshold even following the simultaneous activation of a large number of synapses and during stimulation with high-frequency trains. Finally, the relative impact of different pathways on somatic activity could be effectively altered by modulating the kinetic properties of dendritic transient K+ channels, corresponding to the activation of ascending modulatory neurotransmitter systems. In this case, the efficacy of the PP was enhanced by the dendritic generation and limited spread of action potentials. Strong PP activation could also evoke dendritic Ca++ spikes, which often triggered a somatic burst.

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Year:  2005        PMID: 16262641     DOI: 10.1111/j.1460-9568.2005.04406.x

Source DB:  PubMed          Journal:  Eur J Neurosci        ISSN: 0953-816X            Impact factor:   3.386


  8 in total

1.  The effect of dendritic voltage-gated conductances on the neuronal impedance: a quantitative model.

Authors:  Szabolcs Káli; Rita Zemankovics
Journal:  J Comput Neurosci       Date:  2012-02-17       Impact factor: 1.621

2.  HippoUnit: A software tool for the automated testing and systematic comparison of detailed models of hippocampal neurons based on electrophysiological data.

Authors:  Sára Sáray; Christian A Rössert; Shailesh Appukuttan; Rosanna Migliore; Paola Vitale; Carmen A Lupascu; Luca L Bologna; Werner Van Geit; Armando Romani; Andrew P Davison; Eilif Muller; Tamás F Freund; Szabolcs Káli
Journal:  PLoS Comput Biol       Date:  2021-01-29       Impact factor: 4.475

3.  Analysis of intracerebral EEG recordings of epileptic spikes: insights from a neural network model.

Authors:  Sophie Demont-Guignard; Pascal Benquet; Urs Gerber; Fabrice Wendling
Journal:  IEEE Trans Biomed Eng       Date:  2009-07-31       Impact factor: 4.538

Review 4.  Neural Activity Patterns Underlying Spatial Coding in the Hippocampus.

Authors:  Marielena Sosa; Anna K Gillespie; Loren M Frank
Journal:  Curr Top Behav Neurosci       Date:  2018

5.  Encoding of spatio-temporal input characteristics by a CA1 pyramidal neuron model.

Authors:  Eleftheria Kyriaki Pissadaki; Kyriaki Sidiropoulou; Martin Reczko; Panayiota Poirazi
Journal:  PLoS Comput Biol       Date:  2010-12-16       Impact factor: 4.475

6.  The Effects of Realistic Synaptic Distribution and 3D Geometry on Signal Integration and Extracellular Field Generation of Hippocampal Pyramidal Cells and Inhibitory Neurons.

Authors:  Attila I Gulyás; Tamás F Freund; Szabolcs Káli
Journal:  Front Neural Circuits       Date:  2016-11-08       Impact factor: 3.492

7.  Input-to-output transformation in a model of the rat hippocampal CA1 network.

Authors:  Andrey V Olypher; William W Lytton; Astrid A Prinz
Journal:  Front Comput Neurosci       Date:  2012-08-06       Impact factor: 2.380

8.  A flexible, interactive software tool for fitting the parameters of neuronal models.

Authors:  Péter Friedrich; Michael Vella; Attila I Gulyás; Tamás F Freund; Szabolcs Káli
Journal:  Front Neuroinform       Date:  2014-07-10       Impact factor: 4.081

  8 in total

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