SYMPOSIUM 6

Innovation in recording of behavior and physiology

Oral presentations
Friday, August 30, 09:00-12:00, Aula
Chair: Eco de Geus (Amsterdam, The Netherlands)

09:00

R.H. Geuze and S. Hunnius (Groningen, The Netherlands). Measurement and analysis of eye movement and heart rate as markers of visual attention in babies.

09:20

J. Boenigk (Mondsee, Austria). On the use of video-microscopy for the analysis of protist feeding behavior.

09:40

J. Ceunen, E. Struelens, A. Janssen, F. Tuyttens, K. de Baere, J. Zoons, B. Sonck, E. Vranken and D. Berckmans (Leuven, Belgium). Developing a quantitative method for objectively evaluating the behavior of laying hens in furnished cages.

10:00

A. Bartoletti, A. Graziano and L. Petrosini (Pisa, Italy). Automatic recognition of different cognitive strategies in the Morris water maze.

10:20

Coffee break

11:00

D. Dow-Edwards and S. Melnick (Brooklyn, NY, U.S.A.). Correlating brain metabolism with stereotypic and locomotor behavior.

11:20

K.M. Scheibe, A. Berger, S. Michaelis and J.W. Streich (Berlin, Germany). Evaluating the living conditions of free ranging animals by automated chronobiological analysis of behavior.

11:40

G. Bernroider, A. Rötzer and R. Fuchs (Salzburg, Austria). A behavioral assay for endocrine disrupting compounds (EDCs) based on avian calling patterns.

12:00 M.C.M. Bruijs, R.H. Hadderingh and H.A. Jenner (Arnhem, The Netherlands). Deflecting eels from water intakes with light.
12:20 B. Houx, B. Spruijt and J.Baars (Utrecht, The Netherlands). Automated infrared thermographic tracking as a non-invasive tool for measuring long-term temperature effects of social stress.

Poster presentations and demonstrations
Thursday, August 29, 14:00-17:30

6.1

L. Ciampolini (Firenze, Italy). Predicting current glycemia by training subjects to use subjective feelings before feeding.

6.2

A. Döhrn, M.A. Pabst and K Kral (Graz, Austria). 3-D representation of the landing approach of Libellula depressa in a study of navigation mechanisms in natural surroundings.

6.3 J. Edgerly-Rooks and S.M. Shenoy (Santa Clara, CA, U.S.A.). Measuring the metabolic cost of spinning silk: developing a method for investigating a silk-spinning insect.
6.4 E.M. Nilsson and G. Bengtsson (Lund, Sweden). Predator avoidance in Protaphorura armata (Collembola).
6.5 B. Puppe, P.C. Schön and G. Manteuffel (Dummerstorf, Germany). Monitoring stress calls of domestic pigs using linear prediction coding analysis and a self-organising neuronal network.
6.6 E. Said and M. Khaled Choulli (Kenitra, Morocco). Developing a new video analysis system for the study of animal behavioral.
6.7 T.V. Mukhina, A.O. Lukashev, K.V. Anokhin and S.O. Bachurin (Moscow, Russian Federation). Analysing animal path trajectories in terms of individual behavioral acts.
6.8 M.A.G. Formanoy, F.C. Schasfoort, J.B.J. Bussmann, J.W. Peters, D. Tibboel and H.J. Stam (Rotterdam, The Netherlands). Continuous objective measurement of pain indicators in children: a feasibility study.
6.9

W.F. Fledelius (Aarhus, Denmark). Using hand-held game consoles for animal monitoring.

6.10 M.A. Rowley, J. Stitt and F.E. Hanson (Baltimore, U.S.A.). Image analysis of caterpillar feeding behavior.
6.11 L.L. Meers, E. van Avermaet, C. Moons and F.O. Ödberg (Merelbeke, Belgium). Behavioral responses and heart rates of stereotyping and non-stereotyping geldings to four stimuli.
6.12 R. Müller and L. Schrader (Schwerzenbach, Switzerland). Measuring daily activity patterns in dairy cows.
6.13 L. Riddle, T.L. Albrecht, M.D. Coovert, L.A. Penner, G. Quinn, J. Ruckdeschel and C.E. Blanchard (Tampa, FA, U.S.A.). The Observer Video-Pro based coding: empirical evidence of value added.
6.14 P.G. Tillman and B.G. Mullinix (Tifton, GA, U.S.A.). Measuring the host-searching and ovipositional behavior of a parasitoid of the tobacco budworm on tobacco and cotton.
6.15 H.K. Käfer and G.K. Kastberger (Graz, Austria). Mobilising for mass release of guard bees in Apis dorsata.
6.16 C.J. Machado and J. Bachevalier (Houston, U.S.A.). Using two distinct testing environments to assess decision-making skills in rhesus monkeys (Macaca mulatta) after selective amygdala, hippocampal or orbital frontal cortex lesions.
6.17 I. Cascão, R. Gaspar and A.L. Custódio (Quinta Do Condo, Portugal). The impact of dolphin-watching boats on the resident bottlenose dolphins, Tursiops truncatus, in the Sado Estuary, Portugal.
6.18 S. Ellegaard and M.B. Andersen (Faaborg, Denmark). Using databases in behavioral research - a practical approach.
6.19 D.R. Pasquali and P. Renzi (Roma, Italy). A microwave radar device for monitoring locomotor behavior in insects.
6.20 P.J. Clemins and M.T. Johnson (Milwaukee, U.S.A.). Automatic speech recognition and speaker identification of animal vocalizations.
6.21 M. Panzera and E. Trobia (Messina, Italy). The influence of different management conditions and preweaning handling methods on foal/mare ethograms.
6.22 Z.V. Virányi, J. Topál, A. Miklósi and V. Csányi (Budapest, Hungary). Do they know what we know? A comparative study of knowledge attribution in dogs and children.
6.23 M.R. Murphy and S.A. Miller (San Antonio, U.S.A.). Ultrasonic vocalizations as a versatile index of emotionality.
6.24 P.C. Pearce, T.M. Mann, K.E. Williams, A. Smith and E.A.M. Scott (Salisbury, U.K.). Actimetry for marmosets.
6.25 B. Gregersen, S.J. Greene and K.S. Gannon (Indianapolis, U.S.A.). Novel application of the Noldus UltraVox system for automated recording of maternal separation-induced audible distress vocalizations in the guinea pig.
6.26 A. Naujeck and J. Hill (Chelmsford, U.K.). Foraging behavior in horses: measuring bite dimensions.
6.27 R. Zemek and R. Socha (Ceske Budejovice, Czech Republic). A cost-effective system for measuring motion activity based on video image analysis.
6.28 M. van Tilborg, P. Roessingh, J.N.C. van der Pers and M.W. Sabelis (Amsterdam, The Netherlands). Feeding state-dependent and odour-conditioned anemotactic responses of a tiny predatory mite on a newly developed locomotion compensator.
6.29 U.R.R. Shafiq-ur-Rehman (Srinagar, India). Open-field behavior of fish: correlates of brain lipid peroxidation in lead exposure.
6.30 A. van Hirtum, J. Ceunen and D. Berckmans (Leuven, Belgium). Vocality of the sound of coughing.
6.31 R.K. Kumar (Pithoragarh, India). Measuring the behavioral effects of antidepressant drugs on Rhesus monkeys (Macaca mulatta).
6.32 A.E.W. Wibe (Sunndalsøra, Norway). Using video analysis to study of behavioral effects of butyl benzyl phthalate in threespine stickleback.
6.33 V.N. Radchenko (Sevastapol, Ukraine). Illumination-dependent variations of behavior and physiological indices in cultivated salmon (Oncorhynchus mykiss).
6.34 B.F. Bianco (Parma, Italy). Captive bred cheetah behavior: a study of an ex-situ conservation program.
6.35 S. Gohole (Wageningen, The Netherlands). Investigating the foraging behavior of a pupal parasitoid of stemborers in an intercrop situation.
6.36 A.P. Goursaud (Houston, TX, U.S.A.). A mirror-task to assess emotional reactivity and temperament in non-human primates.
6.37 M. Speroni (Cremona, Italy). Measuring the behavior of dairy cows milked by robot: automaticall recorded data.
6.38 S.G. Gebhardt-Henrich. (Bern, Switzerland). Behavior and fertility in different types of budgerigar.