Motion sensitive interneurons in the optomotor system of the fly

Hausen, Klaus

doi:10.1007/bf00335352

Cited by 312 publications

(200 citation statements)

References 27 publications

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“…As a consequence, the membrane potentials of both the HSE cell and its model equivalent strongly fluctuate around the reference level (figures 3(C) and (D)), following to some extent the modulations of the angular velocity. It should be noted that the HSE cell responds to motion with pronounced graded de-and hyperpolarizations even when recorded close to the output terminal (Hausen 1982a). Despite differences in the fine structure of the time course of the HSE-cell response and the model response, both the cell and its model equivalent exhibit basically the same relationship between the instantaneous velocity and response amplitude.…”

Section: Resultsmentioning

confidence: 98%

“…Rather it also responds strongly to simple approximations of translational optic flow and even monocular motion Egelhaaf 2000, Hausen 1982b) as well as to purely translatory motion in a three-dimensional environment . Moreover, the response amplitude of the HSE cell was found to depend in a nonlinear way on stimulus parameters, such as velocity, contrast and the textural properties of the stimulus patterns and Reichardt 1987, Hausen 1982a. From these findings, we expected the responses of the HSE cell to behaviourally generated optic flow to provide only highly ambiguous information about the animal's self-motion.…”

Section: Introductionmentioning

confidence: 97%

See 1 more Smart Citation

Neuronal processing of behaviourally generated optic flow: experiments and model simulations

Kern¹,

Lutterklas²,

Petereit³

et al. 2001

Network: Computation in Neural Systems

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The stimuli traditionally used for analysing visual information processing are much simpler than what an animal sees when moving in its natural environment. Therefore, we analysed in a previous study the performance of an identified neuron in the optomotor system of the fly by using as visual stimuli image sequences that were experienced by the animal while walking in a structured environment. These electrophysiological experiments revealed that the fly visual system computes from behaviourally generated optic flow a rather unambiguous representation of the animal's self-motion. In contrast to conclusions based on simple stimuli, the directions of turns are represented by an interneuron, the HSE cell, quite independent of the spatial layout of the environment and its textural properties when the cell is stimulated with behaviourally generated optic flow. This conclusion is substantiated here by further experimental evidence. Moreover, it is shown that the largely unambiguous responses of the HSE cell to behaviourally generated optic flow can be replicated to a large extent by a network model of the fly's visual motion pathway. These results stress the significance of naturalistic stimuli for analysing what is encoded by neuronal circuits under natural operating conditions.

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Section: Resultsmentioning

confidence: 98%

Section: Introductionmentioning

confidence: 97%

Neuronal processing of behaviourally generated optic flow: experiments and model simulations

Kern¹,

Lutterklas²,

Petereit³

et al. 2001

Network: Computation in Neural Systems

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show abstract

“…However, at least two additional information processing stages had to be inferred indirectly by comparing the functional properties of the HSand FD-cells with the behavioral responses. (i) A kind of frequency filter was proposed in the path- (Hausen 1982a). As a representative of the FD-cells, the input organization of the FD4-cell is shown; other FDcells differ with respect to their receptive fields and the inhibitory influence exerted by movement in the contralateral visual field (Egelhaaf 1985 b).…”

Section: Discussionmentioning

confidence: 99%

“…The HScells are specialized to evaluate large-field image displacements as are induced during rotatory selfmotion of the animal about its vertical axis. The outputs of these cells, therefore, signal course deviations and are used to control corrective flight torques (Hausen 1981(Hausen , 1982aReichardt et al 1983;Hausen and Wehrhahn 1983, in press; for review see Egelhaafet al 1988;Hausen and Egelhaaf 1989). The FD-cells, on the other hand, signal retinal image displacements of relatively small objects against the background.…”

Section: Introductionmentioning

confidence: 99%

Visual afferences to flight steering muscles controlling optomotor responses of the fly

Egelhaaf

1989

J. Comp. Physiol.

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Summary. In tethered flying house-flies (Musca domestica) visually induced turning reactions weremonitored under open-loop conditions simultaneously with the spike activity of four types of steering muscles (M.bl, M.b2, M.II, M.III1). Specific behavioral response components are attributed to the activity of particular muscles. Compensatory optomotor turning reactions to large-field image displacements mainly occur when the stimulus pattern oscillates at low frequencies. In contrast, turning responses towards objects are preferentially induced by motion of relatively small stimuli at high oscillation frequencies. The different steering muscles seem to be functionally specialized in that they contribute to the control of these behavioral responses in different ways. The muscles I1, IIIl and b2 are preferentially active during small-field motion at high oscillation frequencies. They are much less active during small-field motion at low oscillation frequencies and large-field motion at all oscillation frequencies which were tested. M.b2 is most extreme in this respect. These steering muscles thus mediate :mainly turns towards objects. In contrast, M.bl responds best during large-field motion at low oscillation frequencies and, thus, is appropriate to control compensatory optomotor responses. However, the activity of this muscle is also strongly modulated during small-field motion at high oscillation frequencies and, therefore, may be involved also in the control of turns towards objects. These functional specializations of the different steering muscles in mediating different behavioral ~response components are related to the properties of two parallel visual pathways that are selectively tuned to largefield and small-field motion, respectively.Abbreviations. FD (cell) figure detection (cell); HS (cell) horizontal (cell)

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“…However, there is no clear distinction between these two response modes. In many cells in which graded membrane potential changes reach the presynaptic terminal, they are superimposed and modified by various sorts of active signals [29,31,32]. Whether the different signalling modes differ with respect to information capacity and whether one of them may be superior over the other have been a matter of considerable debate in recent years.…”

Section: The Performance Of Spiking and Graded Potential Neurons In Ementioning

confidence: 99%

Encoding of motion in real time by the fly visual system

Egelhaaf¹,

Warzechat²

1999

Current Opinion in Neurobiology

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Motion sensitive interneurons in the optomotor system of the fly

Cited by 312 publications

References 27 publications

Neuronal processing of behaviourally generated optic flow: experiments and model simulations

Neuronal processing of behaviourally generated optic flow: experiments and model simulations

Visual afferences to flight steering muscles controlling optomotor responses of the fly

Encoding of motion in real time by the fly visual system

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