B. J. Arthur

发表

The ability of the parasitoid fly Ormia ochracea to distinguish sounds in the vertical plane.

B. J. Arthur, R. Hoy, 2006, The Journal of the Acoustical Society of America.

Harmonic Convergence in the Love Songs of the Dengue Vector Mosquito

B. J. Arthur, R. Hoy, L. Cator, 2009, Science.

Multi-channel acoustic recording and automated analysis of Drosophila courtship songs

Mala Murthy, Philip Coen, B. J. Arthur, 2013, BMC Biology.

Reported Drosophila Courtship Song Rhythms Remain Data Analysis Artifacts

Adam J. Calhoun, Philip Coen, B. J. Arthur, 2017 .

Female mice ultrasonically interact with males during courtship displays

Joshua P. Neunuebel, B. J. Arthur, Adam L. Taylor, 2015, eLife.

Reconstruction of 1,000 Projection Neurons Reveals New Cell Types and Organization of Long-Range Connectivity in the Mouse Brain

Charles R. Gerfen, Erhan Bas, Nelson Spruston, 2019, Cell.

Neural Changes Underlying Rapid Fly Song Evolution

Gordon J. Berman, B. Dickson, B. J. Arthur, 2017, bioRxiv.

Evidence for an audience effect in mice: male social partners alter the male vocal response to female cues

Kelly M Seagraves, S E Roian Egnor, B. J. Arthur, 2016, Journal of Experimental Biology.

Hierarchical Organization of Auditory Temporal Context Sensitivity

M S Lewicki, M. Lewicki, B. J. Arthur, 1996, The Journal of Neuroscience.

Neural responses to one- and two-tone stimuli in the hearing organ of the dengue vector mosquito

B. J. Arthur, R. Hoy, R. Wyttenbach, 2010, Journal of Experimental Biology.

Reconstruction of 1,000 Projection Neurons Reveals New Cell Types and Organization of Long-Range Connectivity in the Mouse Brain

Charles R. Gerfen, Erhan Bas, Nelson Spruston, 2019, Cell.

Sensitivity to spectral interaural intensity difference cues in space-specific neurons of the barn owl

B. J. Arthur, 2003, Journal of Comparative Physiology A.

Title: Hierarchical Organization of Auditory Temporal Context Sensitivity

M. Lewicki, T. Carew, A. Doupe, 1996 .

Experimental and statistical re-evaluation provides no evidence for Drosophila courtship song rhythms

Adam J. Calhoun, Philip Coen, B. J. Arthur, 2017, bioRxiv.

A scalable implementation of the recursive least-squares algorithm for training spiking neural networks

Christopher M. Kim, S. Preibisch, B. J. Arthur, 2022, bioRxiv.

Experimental and statistical reevaluation provides no evidence for Drosophila courtship song rhythms

Adam J. Calhoun, Philip Coen, B. J. Arthur, 2017, Proceedings of the National Academy of Sciences.

Neural Evolution of Context-Dependent Fly Song

Gordon J. Berman, B. Dickson, B. J. Arthur, 2019, Current Biology.

SongExplorer: A deep learning workflow for discovery and segmentation of animal acoustic communication signals

Srinivas C. Turaga, B. J. Arthur, D. Stern, 2021, bioRxiv.

Mosquito (Aedes aegypti) flight tones: frequency, harmonicity, spherical spreading, and phase relationships.

Robert A Wyttenbach, B. J. Arthur, R. Hoy, 2014, The Journal of the Acoustical Society of America.

Multi-channel acoustic recording and automated analysis of Drosophila courtship songs

Philip Coen, B. J. Arthur, M. Murthy, 2013, BMC Biology.

Reconstruction of 1,000 Projection Neurons Reveals New Cell Types and Organization of Long-Range Connectivity in the Mouse Brain

Michael N. Economo, S. D. Murphy, David M. Schauder, 2019, Cell.

Behavioral Observations and Sound Recordings of Free-Flight Mating Swarms of Ae. aegypti (Diptera: Culicidae) in Thailand

Lauren J. Cator, Alongkot Ponlawat, Laura C. Harrington, 2011, Journal of medical entomology.

Sensitivity optimization of a rhodopsin-based fluorescent voltage indicator

Michael N. Economo, Mighten C Yip, Andrew L. Lemire, 2021, Neuron.

Classical conditioning through auditory stimuli in Drosophila: methods and models

R. Strawderman, P. Rivlin, B. J. Arthur, 2011, Journal of Experimental Biology.

RESEARCH ARTICLE Classical conditioning through auditory stimuli in Drosophila: methods and models

R. Strawderman, P. Rivlin, B. J. Arthur, 2011 .

A scalable implementation of the recursive least-squares algorithm for training spiking neural networks

Christopher M. Kim, S. Preibisch, B. J. Arthur, 2023, bioRxiv.

Adaptive auditory risk assessment in the dogbane tiger moth when pursued by bats

B. J. Arthur, R. Hoy, J. Fullard, 2010, Proceedings of the Royal Society B: Biological Sciences.

Tiger moths and the threat of bats: decision-making based on the activity of a single sensory neuron

B. J. Arthur, R. Hoy, J. Fullard, 2009, Biology Letters.

Distribution within the barn owl's inferior colliculus of neurons projecting to the optic tectum and thalamus

B. J. Arthur, Ben J Arthur, 2005, The Journal of comparative neurology.

Registration and resampling of large-scale 3 D mosaic images

Nathan G. Clack, Erhan Bas, B. J. Arthur, 2015 .

Neural computations leading to space-specific auditory responses in the barn owl.

Benjamin Jacob Arthur, B. J. Arthur, 2002 .