Diffusion approximation of the neuronal model with synaptic reversal potentials
Biological Cybernetics
Compartmental models of complex neurons
Methods in neuronal modeling
Saturation in excitatory synapses of hippocampus investigated by computer simulations
Biological Cybernetics
Global Oscillations of Neural Fields in CA3
ICANN '08 Proceedings of the 18th international conference on Artificial Neural Networks, Part II
Excitatory synaptic interaction on the dendritic tree
BVAI'07 Proceedings of the 2nd international conference on Advances in brain, vision and artificial intelligence
| Hi-index | 0.00 |
The problem of the code used by brain to transmit information along the different cortical stages is yet unsolved. Two main hypotheses named the rate code and the temporal code have had more attention, even though the highly irregular firing of the cortical pyramidal neurons seems to be more consistent with the first hypothesis. In the present article, we present a model of cortical pyramidal neuron intended to be biologically plausible and to give more information on the neural coding problem. The model takes into account the complete set of excitatory and inhibitory inputs impinging on a pyramidal neuron and simulates the output behaviour when all the huge synaptic machinery is active. Our results show neuronal firing conditions, very similar to those observed in in vivo experiments on pyramidal cortical neurons. In particular, the variation coefficient (CV) computed for the Inter-Spike-Intervals in our computational experiments is very close to the unity and quite similar to that experimentally observed. The bias toward the rate code hypothesis is reinforced by these results.