Receptive field characteristics of a directionally selective movement detector in the visual system of the blowfly

Zaagman, W. H.; Mastebroek, H. A. K.; Buyse, T.; Kuiper, Jw

doi:10.1007/bf00605515

Cited by 40 publications

(19 citation statements)

References 16 publications

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“…Preliminary results obtained by sequentially flashing other pairs of receptors within the same ommatidium suggest that there may exist other EMD's, in particular one driven by two obliquely placed, nearest neighboring receptors such as R2-R4. A similar oblique interaction with small sampling basis was previously inferred from several electrophysiological studies on HI (Zaagman et al 1977;Mastebroek et al 1980;Srinivasan and Dvorak 1980;Lenting 1985), and optomotor studies on Drosophila (Buchner 1976) and Musca (Pick and Buchner 1979;see, however, Kirschfeld 1972).…”

Section: Resultssupporting

confidence: 50%

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Directionally Selective Motion Detection by Insect Neurons

Franceschini¹,

Riehle²,

Nestour³

1989

Facets of Vision

276

179

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Section: Resultssupporting

confidence: 50%

“…5. The array of EM D's feeding H 1 must be wired down with fine grain because HI readily responds to local motion between two points of the environment that are as little as one interommatidial angle apart (McCann and Arnett 1972;McCann 1973;Zaagman et al 1977;Mastebroek et al 1980). …”

Section: The Correlation Model Of Motion Perceptionmentioning

confidence: 99%

Directionally Selective Motion Detection by Insect Neurons

Franceschini¹,

Riehle²,

Nestour³

1989

Facets of Vision

276

179

View full text Add to dashboard Cite

“…The two LPTCs examined in this paper differ from each other in several ways. The H1-cell produces regular action potentials to transfer visual motion information from one lobula plate to the other and responds preferentially to motion from the rear to the front of the eye (Hausen, 1976(Hausen, , 1977Zaagman et al, 1977;Eckert, 1980). In contrast, HS-cells synapse onto descending neurons and respond to visual motion by a graded shift of their axonal membrane potential.…”

Section: Abstract: Motion Detection; Signal-to-noise Ratio; Reverse mentioning

confidence: 99%

Encoding of Visual Motion Information and Reliability in Spiking and Graded Potential Neurons

Haag

Borst

1997

J. Neurosci.

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We investigated the information about stimulus velocity inherent in the membrane signals of two types of directionally selective, motion-sensitive interneurons in the fly visual system. One of the cells, the H1-cell, is a spiking neuron, whereas the other, the HS-cell, encodes sensory information mainly by a graded shift of its membrane potential. Using a pseudo-random velocity waveform by which a visual grating is moving along the horizontal axis of the eye, both cell types follow the stimulus velocity at higher precision than in response to a step-like velocity function. To measure how much information about the stimulus velocity is preserved in the cellular responses, we calculated the coherence between the stimulus and the neural signals as a function of stimulus frequency. At frequencies up to approximately 10 Hz motion information is well contained in the electrical signals of HS- and H1-cells: For HS-cells the coherence value amounts to approximately 70%, and for H1-cells this value is approximately 60%. Comparing these values with the coherence expected from a linear encoding reveals that the fidelity of the original stimulus is deteriorated in the neural signal partly by neural noise and partly by the nonlinearity inherent in the process of visual motion detection. The degree to which this nonlinearity contributes to the decrease in coherence depends on the maximum velocity used in the experiments; the smaller the stimulus amplitude, the higher the coherence and, thus, the smaller the nonlinearity in encoding of stimulus motion. All these results are in agreement with model simulations in which visual motion is processed by an array of local motion detectors, the spatially integrated output of which is considered the equivalent of the neural signals of HS- and H1-cells.

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“…It should be noted that these results do not imply that the local movement detectors responsible for this direction selectivity are necessarily anatomically aligned with the horizontal axis of the eye. Instead, there is good evidence that there are, in addition to horizontal detectors (Kirschfeld 1972;Riehle and Franceschini 1984;Schuling 1988), detectors which receive input from contiguous points of the hexagonal ommatidial lattice and, consequently, are inclined with respect to the horizontal axis of the eye (Buchner 1976;Zaagman et al 1977;Grtz and Buchner 1978;Schuling 1988). Nevertheless, since there are always pairs of them oriented mirror-symmetrically with respect to the eye's horizontal axis, the effective preferred direction of the summated activity of such pairs is again horizontal.…”

Section: The Retinotopic Movement Detector Inputmentioning

confidence: 99%

Processing of figure and background motion in the visual system of the fly

1989

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Abstract. The visual system of the fly is able to extract different types of global retinal motion patterns as may be induced on the eyes during different flight maneuvers and to use this information to control visual orientation. The mechanisms underlying these tasks were analyzed by a combination of quantitative behavioral experiments on tethered flying flies (Musca domestica) and model simulations using different conditions of oscillatory large-field motion and rela-

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Receptive field characteristics of a directionally selective movement detector in the visual system of the blowfly

Cited by 40 publications

References 16 publications

Directionally Selective Motion Detection by Insect Neurons

Directionally Selective Motion Detection by Insect Neurons

Encoding of Visual Motion Information and Reliability in Spiking and Graded Potential Neurons

Processing of figure and background motion in the visual system of the fly

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