scholarly journals The physiological basis for the computation of direction selectivity in the Drosophila OFF pathway

2021 ◽  
Author(s):  
Giordano Ramos-Traslosheros ◽  
Marion Silies
Keyword(s):  
Receptive Field ◽  
Cortical Neurons ◽  
Receptive Fields ◽  
Direction Selectivity ◽  
Physiological Basis ◽  
Motion Computation ◽  
Biological Substrate ◽  
Field Organization ◽  
Receptive Field Organization ◽  
Neuronal Computation

In Drosophila, direction-selective neurons implement a mechanism of motion computation similar to cortical neurons, using contrast-opponent receptive fields with ON and OFF subunits. It is not clear how the presynaptic circuitry of direction-selective neurons in the OFF pathway supports this computation, because all major inputs are OFF-rectified neurons. Here, we reveal the biological substrate for motion computation in the OFF pathway. Three interneurons, Tm2, Tm9 and CT1, also provide information about ON stimuli to the OFF direction-selective neuron T5 across its receptive field, supporting a contrast-opponent receptive field organization. Consistent with its prominent role in motion detection, variability in Tm9 receptive field properties is passed on to T5, and calcium decrements in Tm9 in response to ON stimuli are maintained across behavioral states, while spatial tuning is sharpened by active behavior. Together, our work shows how a key neuronal computation is implemented by its constituent neuronal circuit elements to ensure direction selectivity.

scholarly journals The physiological basis for contrast opponency in motion computation in Drosophila

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Giordano Ramos-Traslosheros ◽  
Marion Silies
Keyword(s):  
Receptive Field ◽  
Cortical Neurons ◽  
Receptive Fields ◽  
Direction Selectivity ◽  
Physiological Basis ◽  
Motion Computation ◽  
Biological Substrate ◽  
Field Organization ◽  
Receptive Field Organization ◽  
Neuronal Computation

AbstractIn Drosophila, direction-selective neurons implement a mechanism of motion computation similar to cortical neurons, using contrast-opponent receptive fields with ON and OFF subfields. It is not clear how the presynaptic circuitry of direction-selective neurons in the OFF pathway supports this computation if all major inputs are OFF-rectified neurons. Here, we reveal the biological substrate for motion computation in the OFF pathway. Three interneurons, Tm2, Tm9 and CT1, provide information about ON stimuli to the OFF direction-selective neuron T5 across its receptive field, supporting a contrast-opponent receptive field organization. Consistent with its prominent role in motion detection, variability in Tm9 receptive field properties transfers to T5, and calcium decrements in Tm9 in response to ON stimuli persist across behavioral states, while spatial tuning is sharpened by active behavior. Together, our work shows how a key neuronal computation is implemented by its constituent neuronal circuit elements to ensure direction selectivity.

Two-dimensional receptive-field organization in striate cortical neurons of the cat

1994 ◽  
Vol 11 (4) ◽  
pp. 703-720 ◽  
Author(s):  
Ming Sun ◽  
A. B. Bonds
Keyword(s):  
Receptive Field ◽  
Cortical Neurons ◽  
Ocular Dominance ◽  
Receptive Fields ◽  
Field Size ◽  
Two Dimensional ◽  
Cortical Layers ◽  
Field Organization ◽  
Receptive Field Organization ◽  
Cortical Receptive Fields

AbstractThe two-dimensional organization of receptive fields (RFs) of 44 cells in the cat visual cortex and four cells from the cat LGN was measured by stimulation with either dots or bars of light. The light bars were presented in different positions and orientations centered on the RFs. The RFs found were arbitrarily divided into four general types: Punctate, resembling DOG filters (11%); those resembling Gabor filters (9%); elongate (36%); and multipeaked-type (44%). Elongate RFs, usually found in simple cells, could show more than one excitatory band or bifurcation of excitatory regions. Although regions inhibitory to a given stimulus transition (e.g. ON) often coincided with regions excitatory to the opposite transition (e.g. OFF), this was by no means the rule. Measurements were highly repeatable and stable over periods of at least 1 h. A comparison between measurements made with dots and with bars showed reasonable matches in about 40% of the cases. In general, bar-based measurements revealed larger RFs with more structure, especially with respect to inhibitory regions. Inactivation of lower cortical layers (V-VI) by local GABA injection was found to reduce sharpness of detail and to increase both receptive-field size and noise in upper layer cells, suggesting vertically organized RF mechanisms. Across the population, some cells bore close resemblance to theoretically proposed filters, while others had a complexity that was clearly not generalizable, to the extent that they seemed more suited to detection of specific structures. We would speculate that the broadly varying forms of cat cortical receptive fields result from developmental processes akin to those that form ocular-dominance columns, but on a smaller scale.

Comparison of response properties of cells in the cat's visual cortex at high and low luminance levels

1985 ◽  
Vol 54 (1) ◽  
pp. 61-72 ◽  
Author(s):  
A. S. Ramoa ◽  
R. D. Freeman ◽  
A. Macy
Keyword(s):  
Receptive Field ◽  
Spatial Frequency ◽  
Cortical Neurons ◽  
Ganglion Cells ◽  
Scattered Light ◽  
Cortical Cells ◽  
Response Properties ◽  
Low Luminance ◽  
Field Organization ◽  
Receptive Field Organization

Receptive-field organization of cells in the cat's striate cortex and lateral geniculate nucleus (LGN) was investigated by using bars of light as stimuli. The aim was to determine if differences occur between conditions of high and low luminance levels. Of 72 cortical cells studied, the receptive fields of 63 were clearly different at high compared with low luminances. Units that gave on-off responses to flashed bars, for example, typically displayed on-only responses at low luminance. By far the most frequent change was that off responses were reduced or absent at low luminance levels. Of 63 cells that showed clear changes, 54 were of this type. This altered receptive-field organization appears to remain for extended periods (we have monitored the steady-state case for up to 2 h). Additional tests allow us to rule out the possible influence of overall changes in response strength and scattered light. To see if similar changes in receptive-field organization are present at the level of the LGN, we recorded from a small number of cells in the LGN (n = 10) and from an additional five afferent fibers in the cortex. In each case, there was a change in center-surround organization between high and low luminance levels similar to that previously reported for retinal ganglion cells. The excitatory responses from the surround for both on-center and off-center cells were absent at low luminance. Taken together, the results suggest that surround responses that can be elicited from ganglion cells and LGN cells make an important contribution to the receptive-field organization of cortical neurons. Changes in receptive-field organization of cortical cells are apparently not accompanied by alterations of other basic response properties. Orientation (7 cells) and spatial frequency (53 cells) selectivity remain relatively unchanged when measured at different luminances. Although optimal spatial frequency is slightly lower at low luminance levels, the low spatial frequency attenuation remains unaltered. Since receptive-field changes between high and low luminance levels suggest that a unit's classification may also vary, we examined simple and complex cell characteristics using sinusoidal gratings (65 cells). Contrary to what we had anticipated, the degree of modulation of responses was relatively independent of luminance, indicating that cell classification does not vary with stimulus luminance.

Responses and receptive-field organization of cones in perch retinas

1977 ◽  
Vol 40 (1) ◽  
pp. 53-62 ◽  
Author(s):  
D. A. Burkhardt
Keyword(s):  
Receptive Field ◽  
Direct Evidence ◽  
Receptive Fields ◽  
Outer Diameter ◽  
Closely Related Species ◽  
Small Spot ◽  
Peak Sensitivity ◽  
Hyperpolarizing Response ◽  
Field Organization ◽  
Receptive Field Organization

1. Cones in the retinas of two closely related species of perch, the walleye and sauger (S, vitreum vitreum and S. canadense), are remarkably large. This paper reports a first series of intracellular recordings obtained from 77 of these cones. 2. A small spot of light evokes a sustained hyperpolarizing response from perch cones which may exceed 10 mV in amplitude, is graded with stimulus intensity, and is markedly reduced when the spot is decentered. Most cones seem to be orange sensitive with peak sensitivity at about 600 nm. 3. Enlarging the stimulus diameter from 0.04 to 0.25 mm produces a modest increase in the hyperpolarizing response. However, larger stimuli which illuminate surrounding regions of the retina often evoke a delayed depolarizing potential which antagonizes the sustained phase of the cone's hyperpolarizing response to central illumination. 4. The outer diameter of the region of the antagonistic surround is at least 2.2 mm in extent. An annulus evokes a depolarizing response only if the central region of the receptive field is simultaneously activated. 5. The present results provide the first direct evidence that the receptive fields of cones in fish retinas have an antagonistic center-surround organization. Luminosity-type horizontal cells probably serve as the interneurons which mediate the depolarizing influence of the surround.

Efficient coding correlates with spatial frequency tuning in a model of V1 receptive field organization

2009 ◽  
Vol 26 (1) ◽  
pp. 21-34 ◽  
Author(s):  
JAN WILTSCHUT ◽  
FRED H. HAMKER
Keyword(s):  
Experimental Data ◽  
Receptive Field ◽  
Visual Processing ◽  
Hebbian Learning ◽  
Frequency Tuning ◽  
Receptive Fields ◽  
Efficient Coding ◽  
Early Visual Processing ◽  
Field Organization ◽  
Receptive Field Organization

AbstractEfficient coding has been proposed to play an essential role in early visual processing. While several approaches used an objective function to optimize a particular aspect of efficient coding, such as the minimization of mutual information or the maximization of sparseness, we here explore how different estimates of efficient coding in a model with nonlinear dynamics and Hebbian learning determine the similarity of model receptive fields to V1 data with respect to spatial tuning. Our simulation results indicate that most measures of efficient coding correlate with the similarity of model receptive field data to V1 data, that is, optimizing the estimate of efficient coding increases the similarity of the model data to experimental data. However, the degree of the correlation varies with the different estimates of efficient coding, and in particular, the variance in the firing pattern of each cell does not predict a similarity of model and experimental data.

Development of spatial receptive-field organization and orientation selectivity in kitten striate cortex

1985 ◽  
Vol 53 (5) ◽  
pp. 1158-1178 ◽  
Author(s):  
B. O. Braastad ◽  
P. Heggelund
Keyword(s):  
Receptive Field ◽  
Striate Cortex ◽  
Receptive Fields ◽  
Orientation Selectivity ◽  
Half Width ◽  
Orientation Tuning ◽  
Maximal Response ◽  
Tuning Curves ◽  
Field Organization ◽  
Receptive Field Organization

The functional organization of the receptive field of neurons in striate cortex of kittens from 8 days to 3 mo of age was studied by extracellular recordings. A quantitative dual-stimulus technique was used, which allowed for analysis of both enhancement and suppression zones in the receptive field. Furthermore the development of orientation selectivity was studied quantitatively in the same cells. Already in the youngest kittens the receptive fields were spatially organized like adult fields, with a central zone and adjacent flanks that responded in opposite manner to the light stimulus. The relative suppression in the subzones was as strong as in adult cells. Both simple and complex cells were found from 8 days. The receptive fields were like magnified adult fields. The width of the dominant discharge-field zone and the distance between the positions giving maximum discharge and maximum suppression decreased with age in the same proportions. The decrease could be explained by a corresponding decrease of the receptive-field-center size of retinal ganglion cells. Forty percent of the cells were orientation selective before 2 wk, and the fraction increased to 94% at 4 wk. Cells whose responses could be attenuated to at least half of the maximal response by changes of slit orientation were termed orientation selective. The half-width of the orientation-tuning curves narrowed during the first 5 wk, and this change was most marked in simple cells. The ability of the cells to discriminate between orientations in statistical terms was weak in the youngest kittens due to a large response variability, and showed a more pronounced development than the half-width did. The orientation-tuning curves were fitted by an exponential function, which showed the shape to be adultlike in all age groups. Two kittens were dark reared until recording at 1 mo of age. The spatial receptive-field organization and the orientation selectivity in these kittens were similar to normal-reared kittens at 1 mo. The responsivity of the cells of the dark-reared kittens was lower, and the latency before firing was longer than in the normal-reared kittens of the same age, and these response properties were more similar to those in 1- to 2-wk-old normal kittens. Our results indicate that the spatial organization of the receptive field is innate in most cells and that visual experience is unnecessary for the organization to be maintained and for the receptive-field width to mature during the first month postnatally.(ABSTRACT TRUNCATED AT 400 WORDS)

scholarly journals Early visual experience and the receptive-field organization of optic flow processing interneurons in the fly motion pathway

2001 ◽  
Vol 18 (1) ◽  
pp. 1-8 ◽  
Author(s):  
KATJA KARMEIER ◽  
RICO TABOR ◽  
MARTIN EGELHAAF ◽  
HOLGER G. KRAPP
Keyword(s):  
Receptive Field ◽  
Visual System ◽  
Optic Flow ◽  
Time Scale ◽  
Visual Experience ◽  
Receptive Fields ◽  
Visual Input ◽  
Complete Darkness ◽  
Field Organization ◽  
Receptive Field Organization

The distribution of local preferred directions and motion sensitivities within the receptive fields of so-called tangential neurons in the fly visual system was previously found to match optic flow fields as induced by certain self-motions. The complex receptive-field organization of the tangential neurons and the recent evidence showing that the orderly development of the fly's peripheral visual system depends on visual experience led us to investigate whether or not early visual input is required to establish the functional receptive-field properties of such tangential neurons. In electrophysiological investigations of two identified tangential neurons, it turned out that dark-hatched flies which were kept in complete darkness for 2 days develop basically the same receptive-field organization as flies which were raised under seasonal light/dark conditions and were free to move in their cages. We did not find any evidence that the development of the sophisticated receptive-field organization of tangential neurons depends on sensory experience. Instead, the input to the tangential neurons seems to be “hardwired” and the specificity of these cells to optic flow induced during self-motions of the animal may have evolved on a phylogenetical time scale.

Integration Fields Beyond the Classical Receptive Field: Organization and Functional Properties

Physiology ◽  
1996 ◽  
Vol 11 (4) ◽  
pp. 181-186 ◽  
Author(s):  
C-Y Li
Keyword(s):  
Receptive Field ◽  
Functional Properties ◽  
Cortical Neurons ◽  
Cell Activity ◽  
Texture Features ◽  
Extensive Area ◽  
Classical Receptive Field ◽  
Field Organization ◽  
Receptive Field Organization

The integration field outside the classical receptive field of retinal, geniculate, and cortical neurons shows various modulatory effects on cell activity. Interactions between the two fields underlie the transmission of luminance gradients and enable cortical neurons to analyze texture features and texture contrasts over an extensive area.

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