visual control of prey-capture flight in dragonflies
TRANSCRIPT
Visual control of prey-capture flight in dragonfliesRobert M Olberg
Available online at www.sciencedirect.com
Interacting with a moving object poses a computational
problem for an animal’s nervous system. This problem has
been elegantly solved by the dragonfly, a formidable visual
predator on flying insects. The dragonfly computes an
interception flight trajectory and steers to maintain it during its
prey-pursuit flight. This review summarizes current knowledge
about pursuit behavior and neurons thought to control
interception in the dragonfly. When understood, this system
has the potential for explaining how a small group of neurons
can control complex interactions with moving objects.
Address
Department of Biological Sciences, Union College, 807 Union Street,
Schenectady, NY 12308, USA
Corresponding author: Olberg, Robert M ([email protected])
Current Opinion in Neurobiology 2012, 22:267–271
This review comes from a themed issue on
Neuroethology
Edited by Michael Dickinson and Cynthia Moss
Available online 21st December 2011
0959-4388/$ – see front matter
# 2011 Elsevier Ltd. All rights reserved.
DOI 10.1016/j.conb.2011.11.015
IntroductionInteracting with a moving object poses a computational
problem for an animal’s nervous system. Whether the
animal is catching a ball, a conspecific or a prey item, it
must predict the object’s future location to compensate
for the time required to process sensory information and
move to the point of interception. The dragonfly is a
superb example of an animal that captures rapidly moving
prey. In this review I will summarize what is known about
capture strategies, focusing especially on the dragonfly, its
interception behavior and its nervous system.
Dragonfly eyes and vision
With as many as 30,000 ommatidea [1] the dragonfly
compound eye is among the largest of insect eyes. The
eye covers the majority of the head (Figure 1a), so that the
dragonfly’s visual field is nearly a complete sphere. A
major regional specialization of the eye is the presence of
a ‘dorsal acute zone’ a region of the eye with larger facets
and more closely aligned optical axes [1,2]. The dorsal
acute zone forms a crescent of relatively high resolution
about 558 above the horizon, and projecting at right angles
to visual midline down toward the horizon on each side of
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the head. Behavioral evidence suggests that this region is
important for detecting [3] and pursuing [4] flying-insect
prey. The dorsal acute zone in the dragonfly Sympetrum is
exclusively sensitive to short wavelengths of light (blue
and UV) [5], a regional specialization for foraging against
blue sky, whereas at least five spectral types of photo-
receptors are present in the ventral eye [6] (see review by
Stavenga [7]). Finally, physiological [8], anatomical [9],
and behavioral evidence [10,11] indicate that the dragon-
fly eye is polarization sensitive. Whether polarized light is
important for prey pursuit is not known.
Optic lobes
There have been many excellent studies of the peripheral
optic lobes of dragonflies, both anatomical [12–14] and
physiological [6,8,9,15–19]. However, this review of the
neural basis of prey interception will begin with the third
optic neuropil, the lobula complex. O’Carroll [20�] first
described neurons in the lobula complex that were exqui-
sitely sensitive (and usually directionally selective) to
small-target (1–28) motion but not at all to longer bars
or gratings. He suggested that these neurons were likely
to contribute to the detection of prey or other dragonflies.
In further studies the lobular neurons were termed Small
Target Motion Detectors (STMDs). One of these,
CSTMD1, was identified anatomically by Geurten
et al. [21] who explored the lateral inhibitory connections
that underlie its small target selectivity. Bolzon et al. [22]
presented evidence that the two contralateral homolog
CSTMD1s inhibit one another, providing long-range
inhibition in addition to the local inhibitory connections.
They suggested that such interocular inhibition could
support attention to one target in the presence of poten-
tially distracting targets. A more detailed treatment of the
target-selective neurons in the lobula complex can be
found in the Nordstrom review in this volume [23].
The STMDs of the lobula are likely to provide indirect
input to another set of identified neurons, called Target-
Selective Descending Neurons (TSDNs) [24–26], which
transmit target motion information from the protocereb-
rum down the ventral nerve cord (VNC) to the thoracic
ganglia. In the Aeshnid dragonflies in which they were
identified, TSDN axons run through the dorsal VNC,
passing through the abdominal ganglia in either the
median dorsal tract (MDT) or the dorsal intermediate
tract (DIT), and they are named accordingly. Unlike
STMDs, each of the TSDNs is completely silent unless
the dragonfly is presented with a target of appropriate size
within its receptive field and in its preferred direction.
TSDNs vary in their preferred target-size preference, and
all show very rapid and long lasting habituation to target
Current Opinion in Neurobiology 2012, 22:267–271
268 Neuroethology
Figure 1
(b) (c) (d)
(f) (g)(e)
(a)
Current Opinion in Neurobiology
Dragonfly interception flights guided by compound eyes. (a) Perched
dragonfly Pachydiplax longipennis showing large compound eyes and
outstretched wings. Photo by Tom D. Schultz. (b–g) Digitized high-
speed video records (500 frames/s) of six flights of Erythemis
simplicicollis to a 2 mm white bead moved on a fine monofilament. Open
circles mark bead locations at 2 ms intervals with larger open circles
every 10 frames (20 ms). First open circle marks bead location at takeoff.
Filled diamonds indicate center of dragonfly head with large filled circle
every 20 ms. Gray lines indicate the length and position of dragonfly
body (no lines in d, e, and g, because animal viewed head-on). Plus signs
at a–c and f indicate position of head and bead at capture. Calibration
bars = 2 cm. (b–d) Straight-line interception course when bead moves
along a linear trajectory. (e–g) Turns in response to changes in bead
direction.
Reproduced with permission from Ref. [4].
motion repeated along the same trajectory. The TSDNs
show complex responses to color contrast over a wide
color spectrum, leading Horridge [27] to conclude that
that they receive (indirect) inputs from a variety of re-
ceptor types, but that they do not signal object color.
When stimulated intracellularly, TSDNs elicit small
movements of the wings that we interpret as steering
adjustments. The receptive fields of all of these neurons
are located in the dorso-frontal visual field, and include
some of the dorsal acute zone. As will be described below,
this is the region of prey fixation during pursuit.
Current Opinion in Neurobiology 2012, 22:267–271
Prey capture behaviorDragonflies forage on flying insects. They approach their
prey from below, tipping upward at the final moment of
approach to secure the prey with their outstretched legs.
Some species of dragonflies (‘perchers’) are sit-and-wait
predators, perching on the ground or on vegetation and
periodically taking off to intercept small insects as they fly
by. Others (‘hawkers’) remain in flight continuously
throughout the day, periodically swooping up to grab
insects passing overhead [28�]. Prey-capture flights are
highly accurate; reported capture success rates range from
76% [29] to as high as 97% [30].
Olberg et al. [30] studied prey capture in Libellulid
dragonflies (perchers) in the field. This study was fol-
lowed by a high-speed video study of dragonflies ‘captur-
ing’ tethered beads in an outdoor arena [4]. The
movements of the ‘prey,’ a bead on a fine nylon or
tungsten line, were restricted to a plane containing the
dragonfly and normal to the camera axis, resulting in
flights that were mostly in two dimensions, simplifying
analysis.
Before taking off after a flying object, the dragonfly
estimates its distance and thus its absolute size. We know
this, because the dragonfly only takes off after objects in
an appropriate absolute size range, implying that it is able
to assess distance [31]. How this distance estimation is
done is not known, but the most likely explanation is the
use of motion parallax information from a head bob [31–33] that precedes flight. When a target passes by over-
head, the dragonfly’s head rocks up with a large transla-
tional component in addition to the rotation. As the head
moves, images of nearby objects move farther on the
retina than farther objects, a potential source of distance
information. Motion parallax is used for distance esti-
mation in grasshoppers [34–36] and for figure/ground
discrimination in honeybees [37].
Interception
After taking off, how does the dragonfly approach its prey?
Collett and Land [38�] described two alternative strat-
egies that might be employed in insect chases, ‘tracking’
versus ‘interception’. In tracking, the pursuer aims
directly at the perceived location of the target, usually
resulting in a spiraling approach. In interception the
pursuer flies toward a point in front of the target, resulting
in a relatively straight approach to the point of contact. In
their study of hoverfly chases, Collett and Land [38�]found that the male pursuit of females is an interception
flight; the male often takes off in an entirely different
direction from the direction of the female when first
detected, only to intercept her as her course intersects
his own. They proposed that the males use a special
algorithm that applies only to intercepting female hover-
flies, because it is based on the known size and flight
speed of the female.
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Visual control of prey-capture flight in dragonflies Olberg 269
Dragonflies chase prey of highly variable size and flight
speed. Nevertheless, digitized flight tracks from free
flying dragonflies in the field [30] and in an outdoor flight
arena [4] reveal that the dragonfly steers an interception
course to capture its prey, that is, the trajectory is aimed
directly toward the point of contact rather than toward the
prey (Figure 1b–d). The interception flight is under
continuous visual control, so that a change in the prey’s
flight speed or direction elicits a change in the dragonfly’s
flight course (Figure 1e–g), with a remarkably short
latency of about 30 ms [4].
Interception trajectories have been documented in a wide
variety of animals in addition to hoverflies and dragon-
flies, including teleost fish catching food items [39], bats
catching flying insects [40], dogs catching Frisbees [41],
and humans catching baseballs [42] or walking to targets
in a virtual environment [43].
What neural computations underlie the ability of these
animals to intercept moving targets? They could be using
a simple tactic, known as the Constant Bearing Decreas-
ing Range (CBDR) strategy. This stems from a very old
nautical discovery that if another ship remains at the same
bearing and is getting closer, it is on a collision course with
the observing ship. CBDR reduces the complexity of the
interception problem, because the pursuer does not need
to know the absolute size, velocity, or distance of the
target; the pursuer simply needs to steer to maintain its
target at a constant bearing. The CBDR interception
strategy has been formalized in a guidance law known
as proportional navigation. In proportional navigation the
pursuer maintains a constant line-of-sight angle to the
target by applying rotational acceleration in the direction
of, and in proportion to, the line-of-sight angular velocity
of the target [44]. It is important to recognize that the
existence of a constant bearing from pursuer to target
does not necessarily imply a proportional navigation
strategy. However, proportional navigation is a parsimo-
nious way to achieve constant bearings.
The dragonfly appears to employ a constant bearing
strategy to intercept its prey, but whether its turning
responses reflect a proportional navigation mechanism
has not yet been determined. If so, the dragonfly only
needs to know the angular velocity of the prey image and
then generate proportional compensatory turning [4,30]
based on that information. The TSDNs in the dragonfly’s
nerve cord are excellent candidates to mediate such an
interception strategy. They are the largest, fastest axons
in the cord. They show directional responses to small-
object movement. They have receptive fields in the
direction that prey are fixated. Their responses increase
with object angular speed. And their activity drives steer-
ing movements of the wings. Interestingly two TSDNs
appear to predict future target location, with each spike
containing more information about future than present
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location [45��], a predictive property that might allow
them to compensate for visual latency.
It is possible that dragonflies could employ a slightly
different interception strategy, one described for foraging
bats [40]. Rather than maintaining a constant line-of-sight
bearing, bats appear to maintain a constant absolute angle
to their prey. This strategy has been shown to minimize
the time to interception of an erratically flying prey [40].
Maintaining a constant absolute angle also results in the
pursuer being stationary with respect to the background
from the viewpoint of the target. This lack of relative
motion results in ‘motion camouflage,’ and segments of
dragonfly chases have been analyzed that exhibit this
property [46].
Not all animals employ interception strategies. ‘Tracking’
strategies, where the pursuer heads directly toward the
target, have been described in free flying honeybees
pursuing target feed stations [47] and in several species
of male flies chasing females, other males or other small
targets [48,49,50��]. Tiger beetles show an open-loop
form of tracking, with short bouts of running toward their
prey punctuated by stops to reorient in the prey’s direc-
tion [51]. Interestingly, in response to a more slowly
moving, artificial prey item, the tiger beetle behavior
switches to continuous, closed-loop tracking. Both track-
ing and interception can be viewed as constant bearing
strategies, tracking being the special case in which the
bearing is held near 08 (straight ahead). Therefore pro-
portional navigation could result in either tracking or
interception scenarios.
Head movements
During the interception flight the dragonfly orients its
head so that the image of the prey falls within about 108 of
the intersection between the visual midline and the dorsal
acute zone [4]. This implies that the dragonfly is usually
not ‘looking’ in the direction of its flight path and rules out
a simple form of flight control in which the dragonfly flies
in the direction of its gaze. In addition, because the head
rotates to stabilize the prey image, the target image
displacement on the retina is probably much smaller than
it would be if the dragonfly were not fixating the prey.
Finally, since head orientation relative to the body is not
fixed, maintaining an interception course requires infor-
mation about head position. Head position information is
transmitted by a group of physiologically identified, mul-
timodal, descending neurons that show directionally se-
lective responses to rotation in various planes [52]. These
neurons could potentially be part of the neuronal circuitry
controlling the interception flight.
An unsolved problem in understanding target pursuit is
the conflict between the visual pathways signaling target
motion and those signaling wide-field motion that serve to
stabilize the eye in the visual environment. The problem
Current Opinion in Neurobiology 2012, 22:267–271
270 Neuroethology
is that any turn toward a target will be opposed by the
wide-field optomotor stabilization system. Nothing is
known about how these neural systems interact in the
dragonfly, but Trischler et al. have shown in free-flight
experiments with blowflies that the target-pursuit system
largely inhibits the optomotor response to a moving back-
ground [50��].
ConclusionsIn the dragonfly, eight pairs of descending interneurons
(TSDNs) are implicated as key elements in directing
aerial interceptions, and these interceptions are probably
based on flight corrections to maintain the prey at a
constant angle. Perhaps the best way to further our un-
derstanding of the role of the TSDNs in the behavior is to
record their activity while the behavior is playing out.
Work is underway in the Leonardo Lab (Janelia Farm,
HHMI) to do just that. A chronically implanted electrode
will record TSDN activity wirelessly in a freely flying
dragonfly outfitted with a small telemetry unit [53]. If this
attempt is successful it may be possible to reconstruct
precisely the visual input to the TSDNs during pursuit
and to infer the flight adjustments that result from their
activity, closing the loop from visual input to neuronal
activity to behavior.
AcknowledgementsI thank Andrea Worthington and the reviewers for helpful comments on themanuscript. This work was supported by the Air Force Office of ScientificResearch award FA9550-10-1-0472.
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