https://doi.org/10.1007/s10051-001-8691-4
Probabilistic properties of neuron spiking time-series obtained in vivo
1
ICAR, PO Box 31155, Jerusalem 91000, Israel
and
Mason Laboratory, Yale University, New Haven,
CT 06520-8284, USA
2
Faculty of Life Sciences, Bar-Ilan University,
Ramat-Gan 52900, Israel
3
Department of Physics, Chuo University, Tokyo
112-8551, Japan
Corresponding author: a ark2@eudoramail.com
Received:
13
May
2001
Revised:
20
September
2001
Published online: 15 December 2001
Probabilistic properties of spiking time-series
obtained in vivo from singular neurons
belonging to Red Nucleus of brain are analyzed
for two groups of rats: genetically defined rat
model of depression (Flinders Sensitive Rat Line -
FSL) and a control (healthy) group. The FSL group
shows a distribution of interspike intervals with
a much longer tail than that found for normal
rats. The former distribution (for the FSL group)
indicates a power-law with exponent
. A simple thermodynamic
(noise) model is elaborated
to explain obtained results.
PACS: 87.19.La – Neuroscience / 87.18.Sn – Neural networks / 87.17.-d – Cellular structure and processes / 87.10.+e – General theory and mathematical aspects
© EDP Sciences, Società Italiana di Fisica, Springer-Verlag, 2001