<=
span
style=3D'font-size:75%'>• Behavior defined
<=
span
style=3D'font-size:75%'>• The measurement method
<=
span
style=3D'font-size:75%'>• The functionality
<=
/div>
<=
span
style=3D'font-size:75%'>• The limitations of Video based
alternatives
<=
span
style=3D'font-size:75%'>• LABORAS fact sheets
<=
span
style=3D'font-size:75%'>• Comparison: Experiment examples
<=
/span>
•
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LABORAS-vs-Competitors
Behavi=
or
defined
• LABORAS
•<=
/span> The behaviors detected in LABORAS are=
defined
based on
descriptions of ethologists
•<=
/span> Behaviors in LABORAS have pharmacolog=
ical
relevance
•
• Competitors
•<=
/span> Behavior and position tracking (or ac=
tivity)
are incorrectly used
as synonyms (Video Tracking systems)
•<=
/span> Behaviors are poorly defined and are
therefore not a good
start for automatic behavior detection ( one US competitor)
•<=
/span> Irrelevant behaviors like
“hanging-up-side-down”
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LABORAS-vs-Competitors
Measur=
ement
method
• LABORAS
•<=
/span> Based on detection of energy and anim=
al
movements &#=
13;
•<=
/span> Direct measurement
•<=
/span> High temporal resolution
<=
/span>
•
• Competitors
•<=
/span> Based on position (infrared beam or v=
ideo
tracking)
•<=
/span> Based on posture of animal (multipoin=
t video
tracking)
•<=
/span> Indirect measurement (based on
interpretation)
•<=
/span> Low temporal resolution (video frame =
rate)
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LABORAS-vs-Competitors
Measur=
ement
method
• LABORAS
•<=
/span> Independent of light (nocturnal anima=
ls show
interesting behav=
iors
during night)
•<=
/span> Behavior data fully captured by LABOR=
AS
sensors
•<=
/span> Cage and bedding material don’t=
effect
measurement
•
• Competitors
• Dependent on light (quality & funct. degraded =
in
dark)
•<=
/span> One camera can only capture about 40 =
to 50%
of the beha=
viors
(dependent on animal and camera position)
•<=
/span> Animal cage and bedding material effe=
cts
measurement
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LABORAS-vs-Competitors
Measur=
ement
method
• LABORAS
•<=
/span> All raw data will be stored for later=
use (1
MB / hour)
•<=
/span> Can capture fast behaviors (scratchin=
g)
•<=
/span> Can capture short behaviors (head
twitches)
•<=
/span> Can be dependent on vibration or airf=
low
•
• Competitors
•<=
/span> Raw Data can not easily be stored (1.=
5 GB /
hour)
•<=
/span> Short and fast behaviors are difficul=
t to
capture
•<=
/span> Can be effected by light sources
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LABORAS-vs-Competitors
The Functionality
Normal behaviors
&O=
slash; Locomotion
&O=
slash; Immobility
&O=
slash; Rearing
&O=
slash; Climbing
&O=
slash; Eating
&O=
slash; Drinking
&O=
slash; Grooming
Ø
Ø
Ø LABORAS
Integration Telemetry
<=
/div>
Special behaviors
&O=
slash; Scratching
&O=
slash; Paw licking
&O=
slash; Purposeless chewing
&O=
slash; Circling/Turning
Ø Seizures (tonic-cloni=
c convulsions, barrel-rolls,
Racine P5 and
P4)
&O=
slash; Wet dog shakes
&O=
slash; Headshakes
&O=
slash; Head twitches *
<=
/span>
Behaviors
&O=
slash; Rear up 1)
&O=
slash; Rear down 1)
&O=
slash; Rear Hold
&O=
slash; Hanging up-side down 2)
&O=
slash; Remain low 3)
&O=
slash; Pauze 4)
&O=
slash; Awaken 4)&#=
13;
&O=
slash; Twitch 5)
&O=
slash; Etc.
1) Dependent behaviors
2) Irrelevant behavior
3) Not a behavior
4) Transitions / not behaviors
5) UIncorrect definition
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LABORAS-vs-Competitors
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