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BRES 23965

The role of GABA in detecting visual motion

Martin Egelhaaf, Alexander Borst and Birgit Pilz

Max-Planck-lnstitut far biologische Kybernetik, Tiibingen ( E R. G. )

(Accepted 7 November 1989)

Key words:

Vision; Motion detection; Direction selectivity; Shunting inhibition; Fly; y-Aminobutyric acid

The basic computations underlying the extraction of motion from the visual environment have been characterized in great detail. A non-linear interaction, such as a multiplication, between neighbouring visual elements was shown to be the core of biological motion detectors in different species ranging from insects to man. GABA (y-aminobutyric acid)-ergic inhibitory synapses suppressing the responses to motion in one direction but not in the other are widely accepted to be the cellular basis for this non-linear interaction. Based on model predictions we can show in combined pharmacological and eleetrophysiological experiments that in the fly motion detection system GABAergic synapses do not play this role but rather are involved in another important step of motion computation. This makes a reconsideration of the role of inhibition in other motion detection systems necessary.

T h e analysis of m o t i o n plays a central role in biological vision systems. T h e direction and velocity of a moving object, h o w e v e r , are not explicitly encoded at the level of the retinal input. Instead, they have to be c o m p u t e d from the t i m e - d e p e n d e n t brightness fluctuations of the retinal image in a series of processing steps. There is good evidence in several biological vision systems ranging from insects to different v e r t e b r a t e species including m a n in favour of a particular class of motion detection mecha- nisms, the so-called correlation-type of m o v e m e n t detec- tors 7"21'22, or mathematically equivalent versions of t h e m 1'z3. Roughly speaking, this type of m o v e m e n t detector has two spatially separated input channels which interact in a non-linear way after one of the signals has been delayed. Various formal operations were p r o p o s e d for this non-linear interaction. E x a m p l e s are a logical gate as in the well-known B a r l o w - L e v i c k scheme 4, a s u m m a t i o n followed by a threshold operation 14, or simply a multiplication as in the eldest and most widely discussed scheme of this class of m o v e m e n t detection m o d e l s 2a'2~. It is obvious that a motion detection unit built in this way is directionally selective to some extent.

H o w e v e r , under realistic conditions it would also respond to correlated input signals which are independent of the direction of m o t i o n , such as fluctuations of the m e a n light intensity 9'23. This p r o b l e m can be alleviated in a simple way by composing the detector of two such units, mirror-symmetrically a r r a n g e d and subtracted from each other (Fig. 1 left). Since the m o t i o n - i n d e p e n d e n t re- sponse c o m p o n e n t s are identical in both subunits, they

are eliminated by the subtraction stage9. Thus direction selectivity of a m o v e m e n t detector is considerably en- hanced, if it is c o m p u t e d by a two-stage process consist- ing of a non-linear interaction and a subsequent subtrac- tion stage.

Which are the cellular mechanisms responsible for the different operations in the formal m o v e m e n t detector model? To account for the non-linear interaction between the two detector input channels, various cellular models have been p r o p o s e d 14'26'27. T h e so-called shunting-inhibi- tion model is the most p o p u l a r one a m o n g neurophysio- logists. This cellular model relies on the non-linear interaction of an excitatory and an inhibitory, G A B A (7-aminobutyric acid)-ergic synapse which receive their input f r o m neighbouring locations in visual space. To some extent, it a p p r o x i m a t e s a multiplication-like inter- action 14'27. During m o t i o n in the detector's preferred direction, signals are transmitted by the excitatory syn- apse, while they are suppressed during m o t i o n in the opposite direction. This m e c h a n i s m owes its popularity to the finding that direction selectivity of motion-sensitive cells in the retina 2'3's'29 and the visual cortex 25 of various v e r t e b r a t e species as well as in the

fly24

is greatly reduced by application of G A B A antagonists. This has been interpreted as an interference with the essential non- linear interaction of the detector input channels and, thus, in favor of the shunting inhibition m o d e l 2'16'24. This interpretation, however, is only conclusive, if direction selectivity is acquired in a single processing step, i.e. just by the non-linear interaction of the m o v e m e n t detector

Correspondence:

M. Egeihaaf, Max-Planck-Institut fiir biologische Kybernetik, Spemannstral3e 38, D-7400 Tiibingen, ER.G.

0006-8993/90/$03.50 (~) 1990 Elsevier Science Publishers B.V. (Biomedical Division)

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i n p u t c h a n n e l s . It m a y b e n o t c o g e n t in c a s e o f a t w o - s t a g e p r o c e s s such as s h o w n in Fig. 1, since t h e n d i r e c t i o n s e l e c t i v i t y is n o t o n l y r e d u c e d by d i s t u r b a n c e of t h e n o n - l i n e a r i n t e r a c t i o n b u t also w h e n t h e s u b t r a c t i o n p r o c e s s is i m p a i r e d by G A B A a n t a g o n i s t s . T h i s suggests t h a t d i r e c t i o n s e l e c t i v i t y o n its o w n d o e s n o t r e p r e s e n t a g o o d i n d i c a t o r f o r t h e p e r f o r m a n c e o f t h e m o v e m e n t d e t e c t o r ' s n o n - l i n e a r p r o c e s s i n g stage.

T o d e c i d e b e t w e e n t h e s e a l t e r n a t i v e s , i.e. e f f e c t s o f G A B A a n t a g o n i s t s o n t h e n o n - l i n e a r i n t e r a c t i o n vs s u b t r a c t i o n , a d d i t i o n a l i n f o r m a t i o n is r e q u i r e d w h i c h is m o r e specific t h a n d i r e c t i o n s e l e c t i v i t y . If t h e n o n - l i n e a r i n t e r a c t i o n c a n b e a p p r o x i m a t e d sufficiently w e l l by a m u l t i p l i c a t i o n a n d n o o t h e r n o n - l i n e a r i t i e s d i s t o r t t h e d e t e c t o r i n p u t signals s i g n i f i c a n t l y , this i n f o r m a t i o n c a n b e d e r i v e d f r o m F o u r i e r analysis o f local m o v e m e n t d e t e c t o r r e s p o n s e s (Fig. 1 right). W h e n a g r a t i n g w i t h

Fig. 1. Correlation-type of movement detector and its response to a grating with sinusoidally modulated brightness moving from the left to the right. A detector in its simplest form consists of two mirror-symmetrical subunits. In each subunit the signal carried by one input channel is delayed in some way (indicated by e), such as by a low-pass filter, and then interacts non-linearly with the instantaneous signal of the neighbouring input channel. The final detector output is given by the difference of the subunit outputs.

The model simulations of the detector signals as displayed on the right hand side are based on two assumptions: (i) the non-linear interaction stage is given by a multiplication; (ii) there are no non-linearities prior to the movement detector which significantly distort the time course of the input signals. The two signals simultaneously arriving at the multiplication stage (shown here for the right detector subunit) are then sinusoids and the result of their multiplication consists of only the fundamental and second harmonic frequency component of the temporal frequency of the stimulus.

After subtracting the two detector subunits the amplitude of the second harmonic decreases and may completely vanish in case of mathematically perfect subtraction. For the model simulations shown here, it has been assumed that the two detector subunits are not exactly balanced and that the subunit which contributes to the overall response of the detector with a negative sign has the smaller gain (0.9).

s i n u s o i d a l l y m o d u l a t e d b r i g h t n e s s p a s s e s a m o v e m e n t d e t e c t o r w i t h a c o n s t a n t v e l o c i t y , t h e signals c o n v e r g i n g at t h e m u l t i p l i c a t i o n s t a g e s h o u l d also b e s i n u s o i d a l l y m o d u l a t e d in t i m e . T h e r e s u l t i n g r e s p o n s e s o f t h e d e t e c t o r s u b u n i t s a r e t h e n m o d u l a t e d w i t h t h e f u n d a - m e n t a l f r e q u e n c y a n d t h e s e c o n d h a r m o n i c of t h e i n p u t signal 9"14. A f t e r s u b t r a c t i n g t h e s u b u n i t s ' signals f r o m e a c h o t h e r , t h e s e c o n d h a r m o n i c is less p r o n o u n c e d in t h e final d e t e c t o r o u t p u t a n d m a y e v e n d i s a p p e a r 9. S i n c e t h e s e c o n d h a r m o n i c f r e q u e n c y c o m p o n e n t is p r o d u c e d by t h e m u l t i p l i c a t i o n p r o c e s s a n d r e d u c e d by t h e s u b t r a c t i o n s t a g e (Fig. 1 r i g h t ) , it c a n b e u s e d to d e c i d e at w h i c h p r o c e s s i n g s t a g e o f a m o v e m e n t d e t e c t o r G A B A plays its

a C

GAE]A Antagonist

[ > I

Blocking of inh_ Synapses

b d ~

B - "

GABA Antagonist /

/

Blocking of Inh. S y n a p s e s

Fig. 2. Predicted consequences of a pharmacological impairment of either the multiplication (a,c) or the subtraction (b,d) stage of the movement detector, a: the neuronal realization of the multiplica- tion-like interaction is assumed to be represented by the interaction of an excitatory and a GABAergic inhibitory synapse as proposed by Torre and Poggio 27. Blocking of this synapse by a G A B A antagonist should gradually reduce the power of the second har- monic frequency component of the movement detector response (c).

b: the negative input to the subtraction stage of the formal move- ment detector model is assumed to correspond to a GABAergic inhibitory synapse in a neuronal implementation of the detector. If this synapse is blocked by a G A B A antagonist, the power of the second harmonic frequency component in the output signal of the movement detector is predicted to increase (d). Hence interference with either the multiplication or the subtraction stage leads to qualitatively different predictions with respect to the contribution of the second harmonic frequency component to the overall movement detector response. The model simulations were based on the equation of an electrical equivalent circuit of biological membranes V(t) = (geEe + giE i + g~EO/(g e + g~ + gO. ge, g~ and g~ denote the conductance of the excitatory and GABAergic inhibitory synapses as well as the leak conductance, respectively. E~, E~ and E~ denote the corresponding batteries. If the non-linear interaction is to be represented by this equation, the following numerical values were chosen: E~ = -10 mV, El = E~ = -70 mV; see ref. 27. In case of the subtraction stage, the numerical values of the different batteries in this equation amounted to: E e = -10 mV, E~ = -70 mV, E~ = -50 inV. The conductances ge and g~ were assumed to be proportional to the corresponding input signals of the synapses; g~ was constant.

c and d: the inhibitory synapses were weighted by a gain factor which was varied in the simulation between 1 and 0.

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critical role (Fig. 2). If inhibitory G A B A e r g i c synapses are the basis of the non-linear interaction of the detector input channels, the power of the second harmonic frequency response c o m p o n e n t is expected to decrease after blocking the G A B A e r g i c synapses by an antagonist (Fig. 2a). This prediction is not affected if, in addition to the non-linear interaction, also the subtraction stage is based on G A B A e r g i c synapses and blocked pharmaco- logically. H o w e v e r , if G A B A e r g i c synapses are respon- sible for the subtraction process alone the second har- monic frequency c o m p o n e n t should increase (Fig. 2b).

These predictions were tested in the motion detection system of the fly which proved to be an excellent model system for studying various visual information processing tasks 6"1°. In particular, its motion detection system can be described satisfactorily by the formal scheme outlined above: it computes motion in a two-stage process with a multiplication-like interaction of the detector input chan- nels and a separate subtraction stage 9. In the third visual ganglion of the blowfly Calliphora erythrocephala we recorded the responses of a directionally selective mo- tion-sensitive interneurone, the Hl-cell, which can be identified individually in different preparations iS. This cell has an extended receptive field and spatially inte- grates the output signals of large retinotopic arrays of local m o v e m e n t detectors. Since the local m o v e m e n t detectors all look at a different spatial phase of the stimulus pattern, their response modulations are ex- pected to be phase-shifted in time. Spatial integration then eliminates the temporal modulations of the local detector responses. We prevent spatial integration by presenting the motion stimulus to the fly's eye through a sufficiently small vertical slit. In this way local detector responses can be derived from spatially integrating visual interneurones 9. W h e n a sinewave grating is moved behind the slit one obtains, as predicted for a multipli- cation-like m o v e m e n t detector non-linearity, periodic responses to m o t i o n in both the cell's preferred and null direction which are modulated in time. The temporal modulations consist of almost only the fundamental and second harmonic frequency c o m p o n e n t 9. (Fig. 3). In the present study we combine the slit stimulation technique with injection of picrotoxinin into the fly's h a e m o l y m p h next to the third visual ganglion. Picrotoxinin is known to be a non-competitive blocker of inhibitory chloride channels, especially, though not exclusively, of those activated by G A B A 5. A f t e r a short delay of about 5-20

s the responses, on average, change dramatically for some 20-60 min before returning again to their prein- jection shape. Most notably, the power of the second harmonic frequency increases by about a factor of 10.

Moreover, there is also a p r o n o u n c e d increase in the mean spike rate during motion in both the preferred and null direction resulting in a reduction of direction selectivity. The latter feature was already reported before and interpreted as evidence for the shunting inhibition model 24. According to our model predictions, however, the concomitant increase of the second harmonic fre- quency c o m p o n e n t following picrotoxinin injection sug- gests that in the fly visual system G A B A is involved in the subtraction and not in the multiplication process of motion detection.

W h e t h e r this holds also true for other systems where G A B A was found to impair direction selectivity cannot yet be decided. O t h e r criteria than were used here may be required for distinguishing between an elimination of the non-linear interaction stage and the subtraction stage in two cases: (i) if the non-linear interaction cannot be approximated sufficiently well by a multiplication, or (ii) if sinusoidal m o v e m e n t detector input signals are dis- torted by additional non-linearities. Some experimental evidence, in addition to the pharmacological one, has been adduced in favour of a direct involvement of inhibitory processes in the non-linear interaction stage in the retina of various

vertebrate species 4,16,1s'~s'29.

None of these studies, however, considers the significance and possible involvement of a subtraction stage, separate from the non-linear interaction, in generating direction selectivity. Interestingly, there are specific features com- monly found in the responses of directionally selective cells to apparent motion stimuli which suggest that both these processes may be involved in computing direction selectivity: during apparent motion in the null direction, suppression of the responses is frequently observed in directionally selective cells of the retina 4 and lateral geniculate nucleus 17 of the rabbit, the cat striate cortex

TM

13, as well as in area MT of m o n k e y s 19. in many of these cells, however, also an e n h a n c e m e n t of the responses during apparent motion in the cell's preferred direction can be detected11'13'a9'2°; this is even true for the rabbit retina as is revealed by the seminal paper of Barlow and Levick 4. It is obvious that an e n h a n c e m e n t and a suppression in a single cell can hardly be explained by a single-stage process of motion detection based on a

* A second harmonic frequency component could alternatively arise, if the input signals are half-wave rectified and processed in separate on- and off-detectors, the outputs of which are then summated to form the final detector response. This kind of preprocessing of the movement detector input has recently been proposed 12. Since the on- and off-detectors act in counterphase when stimulated by motion of sinewave gratings, the final response is expected to contain a strong second harmonic as long as the detector responds to motion at all. Moreover, the relative contribution of the second harmonic and the fundamental frequency should be more or less invariant with respect to the direction of motion as well as the strength of the subtraction stage. This, however, is in contrast to our experimental data (see Fig. 3 and ref. 9).

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b

!

(J + : - - . . P r e f e r r e d D i r e c t i o n

x o t

• il~/~.

:'

I i o m l n

T i m e

i s

N u D i r e c t i o n

Fig. 3. Responses of the HI-cell in the fly's third visual ganglion to motion in its preferred and null direction before and after application of the G A B A antagonist picrotoxinin (250 nl of a 1 mM solution of picrotoxinin (Sigma) in Ringer z4) into the fly's hae- molymph next to the third visual ganglion. The stimulus consisted of a vertical sine-wave grating with a spatial wavelength of 68 °, a mean luminance of 25 cd/m 2 and a contrast of 0.3. The pattern was seen by the fly through a vertical slit with a size of 8.5 ° x 81 ° which was located in front of the right eye at a horizontal angular position of 45 °. The stimulus pattern was generated on a CRT-screen (Tektronix 608) by an image synthesizer (Picasso, Innisfree) which was controlled by programs written in ASYST on an IBM-AT computer. With this slit technique the eye is stimulated by only part of a spatial wavelength of the stimulus pattern. This allows to infer the properties of local movement detectors from the responses of spatially integrating neurones 9. b: time course of the response of a HI-cell to motion in the preferred direction (i.e. from the back to the front; upper diagrams) and null direction (i.e. from the front to the back; lower diagrams); the middle diagrams show the brightness of the stimulus in the middle of the slit. Response traces are spike frequency histograms representing averages of 10 consecutive presentations of the stimulation program obtained in a single fly;

motion in the preferred and null direction were presented alter- nately. The left diagrams show responses before injection of picrotoxinin; the middle and right diagrams show responses about 12 min and 55 rain after injection. The responses are modulated in time; after injection of picrotoxinin the mean response and the amplitude of the response modulations increase. Note that after picrotoxinin injection the responses are mainly modulated with the second harmonic of the temporal frequency of stimulus motion. The changes induced by picrotoxinin are reversible. (a) and (c): the power of the second harmonic frequency component of the responses to motion in the preferred and null direction as a function of time, respectively. The power of the second harmonic was determined from consecutively obtained response profiles such as shown in (b) by 'Fast Fourier Analysis'. The data represent mean values and standard errors of the mean obtained from 10 flies. After picrotoxinin injection (injection time indicated by an arrow) the mean power of the second harmonic frequency component increases steeply for both motion in the cell's preferred and null direction and only returns to its preinjection level after approximately 40-50 rain.

n o n - l i n e a r i t y o f t h e s h u n t i n g i n h i b i t i o n t y p e . I n c o n t r a s t , both a s u p p r e s s i o n a n d a n e n h a n c e m e n t , w i t h o n l y t h e i r r e l a t i v e s t r e n g t h d e p e n d i n g o n t h e e x a c t s t i m u l u s c o n d i - t i o n s , a r e a n a l m o s t i n e v i t a b l e c o n s e q u e n c e o f a t w o - s t a g e p r o c e s s o f c o m p u t i n g d i r e c t i o n s e l e c t i v i t y w i t h a s e p a r a t e n o n - l i n e a r i n t e r a c t i o n a n d a s u b t r a c t i o n s t a g e . •

T h u s , t h e r o l e o f i n h i b i t i o n in m o t i o n d e t e c t i o n s y s t e m s o t h e r t h a n t h e fly h a s t o b e r e c o n s i d e r e d .

We would like to thank R. Hardie and A. Schmid for helpful advice concerning pharmacological problems, K.G. G6tz, W.

Reichardt, A. Schmid and J.M. Zanker for critical comments on the manuscript, and E Buchst~iber for skillfully drawing the figures.

1 Adelson, E.H. and Bergen, J.R., Spatiotemporal energy models for the perception of motion, J. Opt. Soc. Am. A, 2 (1985) 284-299.

2 Ariel, M. and Adolph, A.R., Neurotransmitter inputs to directionally sensitive turtle retinal ganglion cells, J. Neurophys- icl., 54 (1985) 1123-1143•

3 Ariel, M. and Daw, N.W., Pharmacological analysis of direc- tionally sensitive rabbit retinal ganglion cells, J. Physiol.

(Lond.), 324 (1982) 161-185.

4 Barlow, H.B. and Levick, W.R., The mechanism of directionally selective units in rabbit's retina, J. Physiol. (Lond.), 178 (1965) 477-504.

5 Benson, J.A., Transmitter receptors on insect neuronal somata:

GABAergic and cholinergic pharmacology. In G.G. Lunt (Ed.),

Neurotox '88: Molecular Basis of Drug and Pesticide Action, Elsevier, Amsterdam, 1988.

6 Borst, A. and Bahde, S., Processing of movement information in the fly's landing system: a behavioral analysis. In N. Singh and N. Strausfeld (Eds.), International Conference on Neurobiology of Sensory Systems, Plenum, New York, in press.

7 Borst, A. and Egelhaaf, M., Principles of motion detection, Trends Neurosci., 12 (1989) 297-306.

8 Caldwell, J.H., Daw, N.W. and Wyatt, H.J., Effects of picro- toxin and strychnine on rabbit retinal ganglion cells: lateral interactions of cells with more complex receptive fields, J.

Physiol. (Lond.), 276 (1978) 277-298.

9 Egelhaaf, M., Borst, A. and Reichardt, W., Computational structure of a biological motion detection system as revealed by

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local detector analysis, J. Opt. Soc. Am. A, 6 (1989) 1070-1087.

10 Egelhaaf, M., Hausen, K., Reichardt, W. and Wehrhahn, C., Visual course control in flies relies on neuronal computation of object and background motion, Trends Neurosci.. 11 (1988) 351-358,

11 Emerson, R.C. and Gerstein, G.L., Simple striate neurons in the cat. II. Mechanisms underlying directional asymmetry and directional selectivity, J. Neurophysiol., 40 (1977) 136-154.

12 Franceschini, N., Riehle, A. and Le Nestour, A., Directionally selective motion detection by insect neurons. In D. Stavenga and R. Hardie (Eds.), Facets of Vision, Springer, Berlin, 1989, pp.

360-390.

13 Ganz, L. and Felder, R., Mechanism of directional selectivity in simple neurons of the cat's visual cortex analyzed with stationary flash sequences. J. Neurophysiol., 51 (1984) 294-324.

14 Grzywacz, N.M. and Koch, C., Functional properties of models for direction selectivity in the retina, Synapse, 1 (1987) 417-434.

15 Hausen, K., The lobula-complex of the fly: structure, function and significance in visual behaviour. In M.A. Ali (Ed.), Photoreception and Vision in Invertebrates, Plenum, New York, 1984, pp. 523-559.

16 Koch, C., Poggio, T. and Torre, V., Computations in the vertebrate retina: gain enhancement, differentiation and motion discrimination, Trends Neurosci., 9 (1986) 204-211.

17 Levick, W.R., Oyster, C.W. and Takahashi, E., Rabbit lateral geniculate nucleus: sharpener of directional information, Sci- ence, 165 (1969) 712-714.

18 Marchiafava, P.L., The organization of inputs establishes two functional and morphologically identifiable classes of ganglion cells in the retina of the turtle, Vis. Res., 23 (1983) 325-338.

19 Mikami, A., Newsome, W.T. and Wurtz, R.H., Motion selec- tivity in macaque visual cortex. I. Mechanisms of direction and speed selectivity in extrastriate area MT, J. Neurophysiol., 55

(1986) 1308-1327.

20 Movshon, J.A., Thompson, I.D. and Tolhurst, D.J., Receptive field organization of complex cells in the cat's striate cortex, J.

Physiol. (Lond.), 283 (1978) 79-99.

21 Reichardt, W., Autocorrelation, a principle for the evaluation of sensory information by the central nervous system. In W.A.

Rosenblith (Ed.), Sensory Communication. MIT/Wiley, New York, 196l, pp. 303-317.

22 Reichardt, W., Evaluation of optical motion information by movement detectors, J. Comp. Physiol. A, 161 (1987) 533-547.

23 Van Santen, J.P.H. and Sperling, G., Elaborated Reichardt detectors, J. Opt. Soc. Am. A, 2 (1985) 300-321.

24 Schmid, A. and Biilthoff, H., Using neuropharmacology to distinguish between excitatory and inhibitory movement detec- tion mechanisms in the fly, Calliphora ervthrocephala, Biol.

Cybern., 59 (1988) 71-80.

25 Sillito, A.M., Inhibitory processes underlying the directional specificity of simple, complex and hypercomplex cells in the cat's visual cortex, J. Physiol. (Lond.), 271 (1977) 699-720.

26 Srinivasan, M.V. and Bernard, G.D., A proposed mechanism for multiplication of neural signals, Biol. Cybern., 21 (1976) 227-236.

27 Torre, V. and Poggio, T., A synaptic mechanism possibly underlying directional selectivity to motion, Proc. R. Soc. Lond.

Ser. B., 202 (1978) 409-416.

28 Werblin, F., Maguire, G., Lukasiewicz, P., Eliasof, S. and Wu, S.M., Neural interactions mediating the detection of motion in the retina of the tiger salamander, Vis. Neurosci., 1 (1988) 317-329.

29 Wyatt, H.J. and Daw, N.W., Specific effects of neurotransmitter agonists on ganglion cells in rabbit retina, Science, 191 (1976) 204-205.

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