6 Works

Data from: Lateralization in alpha-band oscillations predicts the locus and spatial distribution of attention

Akiko Ikkai, Sangita Dandekar & Clayton E. Curtis
Attending to a task-relevant location changes how neural activity oscillates in the alpha band (8–13Hz) in posterior visual cortical areas. However, a clear understanding of the relationships between top-down attention, changes in alpha oscillations in visual cortex, and attention performance are still poorly understood. Here, we tested the degree to which the posterior alpha power tracked the locus of attention, the distribution of attention, and how well the topography of alpha could predict the locus...

Data from: High-frequency resonance in the gerbil medial superior olive

Jason Mikiel-Hunter, Vibhakar Kotak & John Rinzel
A high-frequency, subthreshold resonance in the guinea pig medial superior olive (MSO) was recently linked to the efficient extraction of spatial cues from the fine structure of acoustic stimuli. We report here that MSO neurons in gerbil also have resonant properties and, based on our whole-cell recordings and computational modeling, that a low-voltage-gated potassium current, IKLT, underlies the resonance. We show that resonance was lost following dynamic clamp replacement of IKLT with a leak conductance...

Data from: Towards the automatic classification of avian flight calls for bioacoustic monitoring

Justin Salamon, Juan Pablo Bello, Andrew Farnsworth, Matt Robbins, Sara Keen, Holger Klinck & Steve Kelling
Automatic classification of animal vocalizations has great potential to enhance the monitoring of species movements and behaviors. This is particularly true for monitoring nocturnal bird migration, where automated classification of migrants’ flight calls could yield new biological insights and conservation applications for birds that vocalize during migration. In this paper we investigate the automatic classification of bird species from flight calls, and in particular the relationship between two different problem formulations commonly found in the...

Data from: Multiple processes drive genetic structure of humpback whale (Megaptera novaeangliae) populations across spatial scales

Francine Kershaw, Inês Carvalho, Jacqueline Loo, Cristina Pomilla, Peter B. Best, Ken P. Findlay, Salvatore Cerchio, Tim Collins, Marcia H. Engel, Gianna Minton, Peter Ersts, Jaco Barendse, P. G. H. Kotze, Yvette Razafindrakoto, Solange Ngouessono, Michael Meӱer, Meredith Thornton & Howard C. Rosenbaum
Elucidating patterns of population structure for species with complex life histories, and disentangling the processes driving such patterns, remains a significant analytical challenge. Humpback whale (Megaptera novaeangliae) populations display complex genetic structures that have not been fully resolved at all spatial scales. We generated a data set of nuclear markers for 3,575 samples spanning the seven breeding stocks and substocks found in the South Atlantic and western and northern Indian Oceans. For the total sample,...

Data from: Extreme QTL mapping of germination speed in Arabidopsis thaliana

Wei Yuan, Jonathan M. Flowers, Dustin J. Sahraie, Ian M. Ehrenreich & Michael D. Purugganan
Seed germination is a key life history transition for annual plants and partly determines lifetime performance and fitness. Germination speed, the elapsed time for a nondormant seed to germinate, is a poorly understood trait important for plants’ competitiveness and fitness in fluctuating environments. Germination speed varied by 30% among 18 Arabidopsis thaliana populations measured, and exhibited weak negative correlation with flowering time and seed weight, with significant genotype effect (P < 0.005). To dissect the...

Data from: The evolutionary relationships and age of Homo naledi: an assessment using dated Bayesian phylogenetic methods

Mana Dembo, Davorka Radovčić, Heather M. Garvin, Myra F. Laird, Lauren Schroeder, Jill E. Scott, Juliet Brophy, Rebecca R. Ackermann, Charles M. Musiba, Darryl J. De Ruiter, Arne Ø. Mooers, Mark Collard & Chares M. Musiba
Homo naledi is a recently discovered species of fossil hominin from South Africa. A considerable amount is already known about H. naledi but some important questions remain unanswered. Here we report a study that addressed two of them: “Where does H. naledi fit in the hominin evolutionary tree?” and “How old is it?” We used a large supermatrix of craniodental characters for both early and late hominin species and Bayesian phylogenetic techniques to carry out...

Registration Year

  • 2016

Resource Types

  • Dataset


  • New York University
  • New York University Abu Dhabi
  • University of Pretoria
  • Columbia University
  • University of Aveiro
  • University of Aberdeen
  • Texas A&M University
  • Department of Environmental Affairs
  • Wildlife Conservation Society
  • Simon Fraser University