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Drosophila

Vision of invertebrate species was the subject of extensive research which led to the discovery of important fundamental principles that apply to all senses. Drosophila. Visual system is an ideal model to investigate the mechanisms underlying early neural processing with a wealth of detailed knowledge from tens of years of genetic, anatomical, physiological and behavioural studies. Intracellular recordings and patch clamp recordings from dissociated wild-type and hdc. Is a biophysically realistic photore...

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Drosophila | dflybrain.org Reviews

<META> DESCRIPTION

Vision of invertebrate species was the subject of extensive research which led to the discovery of important fundamental principles that apply to all senses. Drosophila. Visual system is an ideal model to investigate the mechanisms underlying early neural processing with a wealth of detailed knowledge from tens of years of genetic, anatomical, physiological and behavioural studies. Intracellular recordings and patch clamp recordings from dissociated wild-type and hdc. Is a biophysically realistic photore...

<META> KEYWORDS

1 reverse engineering drosophila

2 retinal networks

3 project overview

4 background

5 photoreceptor biology

6 histamine deficient mutants

7 experimental methods

8 intracellular recordings

9 experimental data

10 modelling approach

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reverse engineering drosophila,retinal networks,project overview,background,photoreceptor biology,histamine deficient mutants,experimental methods,intracellular recordings,experimental data,modelling approach,modelling overview,system identification

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Drosophila | dflybrain.org Reviews

https://dflybrain.org

Vision of invertebrate species was the subject of extensive research which led to the discovery of important fundamental principles that apply to all senses. Drosophila. Visual system is an ideal model to investigate the mechanisms underlying early neural processing with a wealth of detailed knowledge from tens of years of genetic, anatomical, physiological and behavioural studies. Intracellular recordings and patch clamp recordings from dissociated wild-type and hdc. Is a biophysically realistic photore...

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dflybrain.org

1

Frequency Domain Methods

http://www.dflybrain.org/FrequencyDomainMethods.html

In order to characterize the nonlinear transformations performed by photoreceptors we analytically computed the higher-order or Generalized Frequency Response Functions (GFRFs) of the identified nonlinear photoreceptor model. GFRFs, which are extensions to the classical linear frequency response function, can reveal the mechanisms by which the frequency spectrum of the photoreceptor responses is enriched compared with the input spectrum and thus provide insight into the nonlinear coding algorithms in...

2

Project Details

http://www.dflybrain.org/ProjectDetails.html

BBSRC, D. Coca, M. Juusola, S.A. Billings `Reverse Engineering Drosophila. S Retinal Networks , 15.08.10 to 14.08.13, 648,008. Friederich, U., Billings, S.A., Juusola, M. and Coca, D. (2012), Reverse Engineering Gain Adaptation in Sensory Systems, Acta Press, Proceedings of the 9th IASTED International Conference on Biomedical Engineering. Friederich, U. Billings, S.A., Juusola, M and Coca, D. (2013), We now know what fly photoreceptors compute, BMC Neuroscience, 14(1). Department of Biomedical Science.

3

Gain Control Model

http://www.dflybrain.org/GainControlModel.html

To characterize in full the nonlinear photoreceptor dynamics, we used naturalistic input stimuli that resemble light fluctuations these cells are subjected to in a fly’s natural habitat. The synthetic stimulus sequence, derived as explained here. Stimuli range for which the responses are dominated by noise. Moreover, the structure of the model allows us to derive analytically the higher-order frequency response functions. Adaptation parameters part of the divisive gain control law, optimised by the numer...

4

Data

http://www.dflybrain.org/ExperimentalData.html

In system identification it is important that the inputs are persistently exciting the system dynamics. To characterize in full the nonlinear photoreceptor dynamics, we used naturalistic input patterns, chosen from the Van Hateren natural stimuli collection (Van Hateren, 1997), which resemble light fluctuations the cells are subjected to in a fly’s natural habitat. To very dark (BG. An example of such input signal with five mean intensity levels is shown in the top plot in the figure above. A bandlimited...

5

Generalized Frequency Response Functions Results

http://www.dflybrain.org/GFRFResults.html

Generalized Frequency Response Functions Results. A,b) Magnitude and phase of the first-order frequency response function; c,d) Magnitude and phase of the second order frequency response function; e,f) Second order magnitude and phase plots along integration lines ω. Ω, for ω = 1Hz and ω = 31Hz. 10Hz) by appropriately modifying the phases of a Gaussian white noise signal. The resulting phase-modified signal has the same first- and second-order statistics as the original white noise signal.

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dflybrain.org

Drosophila

Vision of invertebrate species was the subject of extensive research which led to the discovery of important fundamental principles that apply to all senses. Drosophila. Visual system is an ideal model to investigate the mechanisms underlying early neural processing with a wealth of detailed knowledge from tens of years of genetic, anatomical, physiological and behavioural studies. Intracellular recordings and patch clamp recordings from dissociated wild-type and hdc. Is a biophysically realistic photore...

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