Barry Wark
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Research Interests
Barry Wark has a total of 6 co-authors. Here are the top co-authors by number of shared publications:
Adrienne Fairhall
Dept. of Physiology and Biophysics, Univ. of Washington, Seattle, WA
2 shared publicationsAbigail R. Wark
Division of Human Biology, Fred Hutchinson Cancer Research Center, Seattle, USA
1 shared publicationBrian Nils Lundstrom
Department of Physiology and Biophysics, University of Washington
1 shared publication- Catherine L. Peichel
Division of Evolutionary Ecology, Institute of Ecology and Evolution, University of Bern
1 shared publication - Fred Rieke
Department of Neurobiology and Biophysics, University of Washington
1 shared publication Tessa J. Lageson
Division of Human Biology, Fred Hutchinson Cancer Research Center, Seattle, USA
1 shared publication
Latest Publications
- 29 December 2010
- Published by Springer Nature in Behavioral Ecology and Sociobiology
- Vol. 65 (5) , 1147-1157
Novel methods for discriminating behavioral differences between stickleback individuals and populations in a laboratory shoaling assay
Threespine sticklebacks (Gasterosteus aculeatus) from different habitats have been observed to differ in shoaling behavior, both in the wild and in laboratory studies. In the present study, we surveyed the shoaling behavior of sticklebacks from a variety of marine, lake, and stream habitats throughout the Pacific Northwest. We tested the shoaling tendencies of 113 wild-caught sticklebacks from 13 populations using a laboratory assay that was based on other published shoaling assays in sticklebacks. Using traditional behavioral measures for this assay, such as time spent shoaling and mean position in the tank, we were unable to find population differences in shoaling behavior. However, simple plotting techniques revealed differences in spatial distributions during the assay. When we collapsed individual trials into population-level data sets and applied information theoretic measurements, we found significant behavioral differences between populations. For example, entropy estimates confirm that populations display differences in the extent of clustering at various tank positions. Using log-likelihood analysis, we show that these population-level observations reflect consistent differences in individual behavioral patterns that can be difficult to discriminate using standard measures. The analytical techniques we describe may help improve the detection of potential behavioral differences between fish groups in future studies.
- 29 December 2010
- Published by Springer Nature in Behavioral Ecology and Sociobiology
- Vol. 65 (5) , 1147-1157
Novel methods for discriminating behavioral differences between stickleback individuals and populations in a laboratory shoaling assay
Threespine sticklebacks (Gasterosteus aculeatus) from different habitats have been observed to differ in shoaling behavior, both in the wild and in laboratory studies. In the present study, we surveyed the shoaling behavior of sticklebacks from a variety of marine, lake, and stream habitats throughout the Pacific Northwest. We tested the shoaling tendencies of 113 wild-caught sticklebacks from 13 populations using a laboratory assay that was based on other published shoaling assays in sticklebacks. Using traditional behavioral measures for this assay, such as time spent shoaling and mean position in the tank, we were unable to find population differences in shoaling behavior. However, simple plotting techniques revealed differences in spatial distributions during the assay. When we collapsed individual trials into population-level data sets and applied information theoretic measurements, we found significant behavioral differences between populations. For example, entropy estimates confirm that populations display differences in the extent of clustering at various tank positions. Using log-likelihood analysis, we show that these population-level observations reflect consistent differences in individual behavioral patterns that can be difficult to discriminate using standard measures. The analytical techniques we describe may help improve the detection of potential behavioral differences between fish groups in future studies.
- 1 August 2007
- Published by Elsevier in Current Opinion in Neurobiology
- Vol. 17 (4) , 423-429
Sensory adaptation
- 1 August 2007
- Published by Elsevier in Current Opinion in Neurobiology
- Vol. 17 (4) , 423-429
Sensory adaptation