Stochastic modeling of neural discharge
β Scribed by B.G Mansourian; T Phan Tan
- Publisher
- Elsevier Science
- Year
- 1974
- Weight
- 360 KB
- Volume
- 4
- Category
- Article
- ISSN
- 0010-468X
No coin nor oath required. For personal study only.
β¦ Synopsis
Spontaneous neuronal discharge has been simulated using a Poisson distributed random number generation to provide excitatory post synaptic potentials of variable duration . Respective values of pulse height and threshold potential are given in the main program .
The resulting neural spike train is used to compute an interspike interval distribution and an expectation density function which are plotted as a function of threshold potential . The twenty curves thus obtained are displayed in perspective on a storage CRT .
π SIMILAR VOLUMES
A model of neural processing is proposed which is able to incorporate a great deal of neurophysiological detail, including effects associated with the mechanics of postsynaptic summation and cell surface geometry and is capable of hardware realisation as a 'probabilistic random access memory' (pRAM)