Does morphology influence temporal plasticity?
Sterratt, D. C., and Van Ooyen, A. (2002). In: Dorronsoro, J. R., ed. Artificial Neural Networks - ICANN 2002, International Conference on Artificial Neural Networks, Vol. 2415 of Lecture Notes in Computer Science. Berlin: Springer, pp. 186-191. [Full text: PDF]
Applying a bounded weight-independent temporal plasticity rule to synapses from independent Poisson firing presynaptic neurons onto a conductance-based integrate-and-fire neuron leads to a bimodal distribution of synaptic strength (Song et al., 2000). We extend this model to investigate the effects of spreading the synapses over the dendritic tree. The results suggest that the distal synapses tend to lose out to proximal ones in the competition for synaptic strength. Against expectations, versions of the plasticity rule with a smoother transition between potentiation and depression make little difference to the distribution or lead to all synapses losing.