Manipulation of nervous systems by electric fields

HG Loos - US Patent 5,899,922, 1999 - Google Patents
Sensory resonance. The resonances found So far include one near 72 HZ which affects the
autonomic nervous System, and a resonance near 2.4 Hz, that causes slowing of certain …

Cortical activation, signal-to-noise ratio and stochastic resonance during information processing in man

G Winterer, M Ziller, H Dorn, K Frick, C Mulert… - Clinical …, 1999 - Elsevier
Objectives: The goal of this study was to determine the relation between EEG, event-related
potentials and information processing as measured by an acoustical choice reaction time …

Low-dimensional dynamics in sensory biology 2: facial cold receptors of the rat

HA Braun, M Dewald, K Schäfer, K Voigt, X Pei… - Journal of computational …, 1999 - Springer
We report the results of a search for evidence of unstable periodic orbits in the sensory
afferents of the facial cold receptors of the rat. Cold receptors are unique in that they exhibit …

Consequences of deterministic and random dynamics for the course of affective disorders

MT Huber, HA Braun, JC Krieg - Biological psychiatry, 1999 - Elsevier
Background: Uni-and bipolar affective disorders tend to be recurrent and progressive. Illness
patterns can evolve from isolated episodes to more rapid, rhythmic, and “chaotic” mood …

A joint interspike interval difference stochastic spike train analysis: detecting local trends in the temporal firing patterns of single neurons

MA Fitzurka, DC Tam - Biological cybernetics, 1999 - Springer
We introduce a stochastic spike train analysis method called joint interspike interval
difference (JISID) analysis. By design, this method detects changes in firing interspike …

[PDF][PDF] Aspects of signal processing in noisy neurons

HE Pleßer - 1999 - d-nb.info
Das menschliche Gehirn ist das faszinierendste Rätsel der Naturwissenschaften. Mit einer
Leistungsaufnahme von nur 12 Watt (Sarpeshkar 1998) ermöglicht uns dieses Organ, uns in …

[引用][C] Stochastic resonance as artefact of oversimplification of a neuron model

HE Plesser, T Geisel - Phys. Rev. E, 1999