"We use a computational model of a hippocampal CA1 pyramidal cell to demonstrate that spine head calcium provides an instantaneous readout at each synapse of the postsynaptic weighted sum of all presynaptic activity impinging on the cell. The form of the readout is equivalent to the functions of weighted, summed inputs used in neural network learning rules. Within a dendritic layer, peak spine head calcium levels are either a linear or sigmoidal function of the number of coactive synapses, with nonlinearity depending on the ability of voltage spread in the dendrites to reach calcium spike threshold. ..."
Model Type: Neuron or other electrically excitable cell
Region(s) or Organism(s): Hippocampus
Model Concept(s): Synaptic Integration
Simulation Environment: NEURON
Implementer(s): Graham, Bruce [B.Graham at cs.stir.ac.uk]