𝔖 Bobbio Scriptorium
✦   LIBER   ✦

On the description of neuronal output properties using spike train data

✍ Scribed by F. Awiszus

Publisher
Springer-Verlag
Year
1989
Tongue
English
Weight
1023 KB
Volume
60
Category
Article
ISSN
0340-1200

No coin nor oath required. For personal study only.

πŸ“œ SIMILAR VOLUMES

Analytical reconstruction of the neurona
Analytical reconstruction of the neuronal input current from spike train data
✍ F. Awiszus πŸ“‚ Article πŸ“… 1992 πŸ› Springer-Verlag 🌐 English βš– 588 KB

The time course of the current driving action potential generation at a neuron investigated experimentally is in general not measurable directly. In this paper an indirect method is introduced that allows estimation of this unknown current time course using only spike train data. Assuming the leaky

Stochastic resonance in the mutual infor
Stochastic resonance in the mutual information between input and output spike trains of noisy central neurons
✍ Gustavo Deco; Bernd SchΓΌrmann πŸ“‚ Article πŸ“… 1998 πŸ› Elsevier Science 🌐 English βš– 422 KB

Within the framework of information theory, we investigate the phenomenon of stochastic resonance in a realistic stochastic model of central neurons. The essential point is that, for central neurons, the input is not a continuous signal but a train of spikes which has, in general, a non-periodic dis

On the description of interfacial electr
On the description of interfacial electromagnetic properties using singular fields, charge density and currents at a dividing surface
✍ A.M. Albano; D. Bedeaux; J. Vlieger πŸ“‚ Article πŸ“… 1980 πŸ› Elsevier Science 🌐 English βš– 670 KB

On the basis of the Maxwell equations for the continuously varying electromagnetic fields, describing a system with an interfacial layer between two bulk phases, interfacial electromagnetic fields, charge density and currents are defined at the dividing surface. It is shown that the behaviour of the