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Literature DB >> 1557430

White-noise analysis in neurophysiology.

H M Sakai¹.

Abstract

Mesh：

Year: 1992 PMID： 1557430 DOI： 10.1152/physrev.1992.72.2.491

Source DB: PubMed Journal: Physiol Rev ISSN： 0031-9333 Impact factor: 37.312

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19 in total

1. Auditory space-time receptive field dynamics revealed by spherical white-noise analysis.

Authors: R L Jenison; J W Schnupp; R A Reale; J F Brugge
Journal: J Neurosci Date: 2001-06-15 Impact factor: 6.167

2. Characterizing the fine structure of a neural sensory code through information distortion.

Authors: Alexander G Dimitrov; Graham I Cummins; Aditi Baker; Zane N Aldworth
Journal: J Comput Neurosci Date: 2010-08-21 Impact factor: 1.621

3. The dynamical response properties of neocortical neurons to temporally modulated noisy inputs in vitro.

Authors: Harold Köndgen; Caroline Geisler; Stefano Fusi; Xiao-Jing Wang; Hans-Rudolf Lüscher; Michele Giugliano
Journal: Cereb Cortex Date: 2008-02-09 Impact factor: 5.357

4. Systems-based analysis of dendritic nonlinearities reveals temporal feature extraction in mouse L5 cortical neurons.

Authors: Brian E Kalmbach; Richard Gray; Daniel Johnston; Erik P Cook
Journal: J Neurophysiol Date: 2017-03-01 Impact factor: 2.714

5. The dynamic nonlinear behavior of fly photoreceptors evoked by a wide range of light intensities.

Authors: A S French; M J Korenberg; M Järvilehto; E Kouvalainen; M Juusola; M Weckström
Journal: Biophys J Date: 1993-08 Impact factor: 4.033

6. Characterisation of columnar neurons and visual signal processing in the medulla of the locust optic lobe by system identification techniques.

Authors: A C James; D Osorio
Journal: J Comp Physiol A Date: 1996-02 Impact factor: 1.836

White-noise analysis in neurophysiology.

1. Auditory space-time receptive field dynamics revealed by spherical white-noise analysis.

2. Characterizing the fine structure of a neural sensory code through information distortion.

3. The dynamical response properties of neocortical neurons to temporally modulated noisy inputs in vitro.

4. Systems-based analysis of dendritic nonlinearities reveals temporal feature extraction in mouse L5 cortical neurons.

5. The dynamic nonlinear behavior of fly photoreceptors evoked by a wide range of light intensities.

6. Characterisation of columnar neurons and visual signal processing in the medulla of the locust optic lobe by system identification techniques.

7. Functional identification of the input-output transforms of motoneurones in the rat and cat.

Review 8. Modeling convergent ON and OFF pathways in the early visual system.

9. The iso-response method: measuring neuronal stimulus integration with closed-loop experiments.

10. A method for decoding the neurophysiological spike-response transform.