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CA1 pyramidal neuron: as a 2-layer NN and subthreshold synaptic summation (Poirazi et al 2003)
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We developed a CA1 pyramidal cell model calibrated with a broad spectrum of in vitro data. Using simultaneous dendritic and somatic recordings, and combining results for two different response measures (peak vs. mean EPSP), two different stimulus formats (single shock vs. 50 Hz trains), and two different spatial integration conditions (within vs. between-branch summation), we found the cell's subthreshold responses to paired inputs are best described as a sum of nonlinear subunit responses, where the subunits correspond to different dendritic branches. In addition to suggesting a new type of experiment and providing testable predictions, our model shows how conclusions regarding synaptic arithmetic can be influenced by an array of seemingly innocuous experimental design choices.
Poirazi P, Brannon T, Mel BW (2003a) Arithmetic of subthreshold synaptic summation in a model CA1 pyramidal cell.
Poirazi P, Brannon T, Mel BW (2003b) Pyramidal Neuron as Two-Layer Neural Network.
Poirazi P, Brannon T, Mel BW (2003ab-sup) Online Supplement: About the Model
Polsky A, Mel BW, Schiller J (2004) Computational subunits in thin dendrites of pyramidal cells.
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Neuron or other electrically excitable cell;
Hippocampus CA1 pyramidal cell;
I L high threshold;
I T low threshold;
Action Potential Initiation;
Dendritic Action Potentials;
Influence of Dendritic Geometry;
Detailed Neuronal Models;
Poirazi, Panayiota [poirazi at imbb.forth.gr];
for information about:
Hippocampus CA1 pyramidal cell
I L high threshold
I T low threshold
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