Activity-dependent neurite outgrowth in a simple neural network model including excitation and inhibition
Van Oss, C., and Van Ooyen, A. (1995). In: Proceedings ESANN 1995, European Symposium on Artificial Neural Networks, Brussels, Belgium, April 1995, pp. 87-92. [Full text: PDF]
Emperical studies have demonstrated that electrical activity of the neuron can directly affect neurite outgrowth. In this paper the implications of activity-dependent outgrowth in a simple two-cell model are studied. The results show that the interactions among neurite outgrowth ('slow dynamics'), excitation and inhibition ('fast dynamics') can generate interesting dynamical behaviour, such as bistability, normal and 'bursting' oscillations. These features might be associated with two states of the network: a 'normal' and a 'pathological' one, where the last one shows epileptiform activity patterns.