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Literature DB >> 8452886

Further study on 1/f fluctuations observed in central single neurons during REM sleep.

F Grüneis¹, M Nakao, Y Mizutani, M Yamamoto, M Meesmann, T Musha.

Abstract

Recently, 1/f fluctuations have been discovered in the single-unit activity of mesencephalic reticular formation (MRF) neurons during REM sleep. In a previous paper, such behavior could satisfyingly be interpreted on the basis of the clustering Poisson process. The question of applicability of this model to other MRF neurons remained unanswered. The present paper reports on 1/f fluctuations in 12 MRF neurons all of which can satisfyingly be modeled by the clustering Poisson process.

Entities: Disease

Mesh：

Year: 1993 PMID： 8452886 DOI： 10.1007/bf00224851

Source DB: PubMed Journal: Biol Cybern ISSN： 0340-1200 Impact factor: 2.086

14 in total

Review 1. Simulation study on dynamics transition in neuronal activity during sleep cycle by using asynchronous and symmetry neural network model.

Authors: M Nakao; T Takahashi; Y Mizutani; M Yamamoto
Journal: Biol Cybern Date: 1990 Impact factor: 2.086

2. Fractal shot noise.

Authors:
Journal: Phys Rev Lett Date: 1989-10-23 Impact factor: 9.161

3. Slow fluctuations of single unit activities of hippocampal and thalamic neurons in cats. I. Relation to natural sleep and alert states.

Authors: T Kodama; H Mushiake; K Shima; H Nakahama; M Yamamoto
Journal: Brain Res Date: 1989-05-15 Impact factor: 3.252

4. Oscillatory responses in cat visual cortex exhibit inter-columnar synchronization which reflects global stimulus properties.

Authors: C M Gray; P König; A K Engel; W Singer
Journal: Nature Date: 1989-03-23 Impact factor: 49.962

5. An interpretation of 1/f fluctuations in neuronal spike trains during dream sleep.

Authors: F Grüneis; M Nakao; M Yamamoto; T Musha; H Nakahama
Journal: Biol Cybern Date: 1989 Impact factor: 2.086

6. Fractal character of the auditory neural spike train.

Authors: M C Teich
Journal: IEEE Trans Biomed Eng Date: 1989-01 Impact factor: 4.538

7. Stochastic properties of spontaneous unit discharges in somatosensory cortex and mesencephalic reticular formation during sleep-waking states.

Authors: M Yamamoto; H Nakahama
Journal: J Neurophysiol Date: 1983-05 Impact factor: 2.714

8. 1/f fluctuation of heartbeat period.

Authors: M Kobayashi; T Musha
Journal: IEEE Trans Biomed Eng Date: 1982-06 Impact factor: 4.538

9. Slow fluctuations of single unit activities of hippocampal and thalamic neurons in cats. II. Role of serotonin on the stability of neuronal activities.

Authors: T Kodama; H Mushiake; K Shima; T Hayashi; M Yamamoto
Journal: Brain Res Date: 1989-05-15 Impact factor: 3.252

10. Fluctuations in spontaneous discharge of hippocampal theta cells during sleep-waking states and PCPA-induced insomnia.

Authors: H Mushiake; T Kodama; K Shima; M Yamamoto; H Nakahama
Journal: J Neurophysiol Date: 1988-09 Impact factor: 2.714

5 in total

Further study on 1/f fluctuations observed in central single neurons during REM sleep.

Review 1. Simulation study on dynamics transition in neuronal activity during sleep cycle by using asynchronous and symmetry neural network model.

2. Fractal shot noise.

3. Slow fluctuations of single unit activities of hippocampal and thalamic neurons in cats. I. Relation to natural sleep and alert states.

4. Oscillatory responses in cat visual cortex exhibit inter-columnar synchronization which reflects global stimulus properties.

5. An interpretation of 1/f fluctuations in neuronal spike trains during dream sleep.

6. Fractal character of the auditory neural spike train.

7. Stochastic properties of spontaneous unit discharges in somatosensory cortex and mesencephalic reticular formation during sleep-waking states.

8. 1/f fluctuation of heartbeat period.

9. Slow fluctuations of single unit activities of hippocampal and thalamic neurons in cats. II. Role of serotonin on the stability of neuronal activities.

10. Fluctuations in spontaneous discharge of hippocampal theta cells during sleep-waking states and PCPA-induced insomnia.

1. Fractal stochastic modeling of spiking activity in suprachiasmatic nucleus neurons.

2. Fractals in the nervous system: conceptual implications for theoretical neuroscience.

3. Quantal neurotransmitter secretion rate exhibits fractal behavior.

4. Fractal character of the electrocardiogram: distinguishing heart-failure and normal patients.

5. Heavy-tailed prediction error: a difficulty in predicting biomedical signals of 1/f noise type.