Richard H.R. Hahnloser

Affiliations: 
INI, ETH Zurich, Zürich, Zürich, Switzerland 
Area:
computational neuroscience; birdsong electrophysiology
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"Richard Hahnloser"
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Publications

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Narula G, Herbst JA, Rychen J, et al. (2018) Learning auditory discriminations from observation is efficient but less robust than learning from experience. Nature Communications. 9: 3218
Fattinger S, de Beukelaar TT, Ruddy KL, et al. (2018) Author Correction: Deep sleep maintains learning efficiency of the human brain. Nature Communications. 9: 16182
Lipkind D, Zai AT, Hanuschkin A, et al. (2017) Songbirds work around computational complexity by learning song vocabulary independently of sequence. Nature Communications. 8: 1247
Fattinger S, de Beukelaar TT, Ruddy KL, et al. (2017) Deep sleep maintains learning efficiency of the human brain. Nature Communications. 8: 15405
Vyssotski AL, Stepien AE, Keller GB, et al. (2016) A Neural Code That Is Isometric to Vocal Output and Correlates with Its Sensory Consequences. Plos Biology. 14: e2000317
Lynch GF, Okubo TS, Hanuschkin A, et al. (2016) Rhythmic Continuous-Time Coding in the Songbird Analog of Vocal Motor Cortex. Neuron. 90: 877-92
Bhargava S, Blättler F, Kollmorgen S, et al. (2015) Linear Methods for Efficient and Fast Separation of Two Sources Recorded with a Single Microphone. Neural Computation. 27: 2231-59
Anisimov VN, Herbst JA, Abramchuk AN, et al. (2014) Reconstruction of vocal interactions in a group of small songbirds. Nature Methods. 11: 1135-7
Canopoli A, Herbst JA, Hahnloser RH. (2014) A higher sensory brain region is involved in reversing reinforcement-induced vocal changes in a songbird. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 34: 7018-26
Giret N, Kornfeld J, Ganguli S, et al. (2014) Evidence for a causal inverse model in an avian cortico-basal ganglia circuit. Proceedings of the National Academy of Sciences of the United States of America. 111: 6063-8
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