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Shouwen Ma
Shouwen Ma
Max Planck Institute for Biological Intelligence
Verifierad e-postadress på bi.mpg.de
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Integrating heterogeneous odor response data into a common response model: a DoOR to the complete olfactome
CG Galizia, D Münch, M Strauch, A Nissler, S Ma
Chemical senses 35 (7), 551-563, 2010
1042010
Machine learning reveals cryptic dialects that explain mate choice in a songbird
D Wang, W Forstmeier, DR Farine, AA Maldonado-Chaparro, K Martin, ...
Nature communications 13 (1), 1630, 2022
242022
Fast retrograde access to projection neuron circuits underlying vocal learning in songbirds
DN Düring, F Dittrich, MD Rocha, RO Tachibana, C Mori, K Okanoya, ...
Cell reports 33 (6), 2020
232020
Neurotelemetry reveals putative predictive activity in HVC during call-based vocal communications in zebra finches
S Ma, A Ter Maat, M Gahr
Journal of Neuroscience 40 (32), 6219-6227, 2020
122020
Power-law scaling of calling dynamics in zebra finches
S Ma, AT Maat, M Gahr
Scientific reports 7 (1), 8397, 2017
72017
Telemetry reveals rapid duel-driven song plasticity in a naturalistic social environment
P Alcami, S Ma, M Gahr
bioRxiv, 803411, 2019
32019
A telemetric approach for characterizing behavioral dynamics and neurophysiology of vocal interactions in Zebra Finches
S Ma
Ludwig-Maximilians-Universität München, 2017
2017
Analysis of Somata and Dentrites Odor Responses in Drosophila ORNs
S Ma
Universität Konstanz, 2010
2010
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Artiklar 1–8