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R Hahnloser

Showing results (31-40 of 57) with videos related to

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Nature Communications|August 15, 2018
Learning auditory discriminations from observation is efficient but less robust than learning from experienceGagan Narula, Joshua A Herbst, Joerg Rychen, et al.
Journal of Neuroscience Methods|July 16, 2008
Spike sorting with hidden Markov modelsJoshua A Herbst, Stephan Gammeter, David Ferrero, et al.
The Journal of Neuroscience : the Official Journal of the Society for Neuroscience|May 9, 2008
Spikes and bursts in two types of thalamic projection neurons differentially shape sleep patterns and auditory responses in a songbirdRichard H R Hahnloser, Claude Z-H Wang, Aymeric Nager, et al.
Frontiers in Bioinformatics|January 30, 2023
Interactive extraction of diverse vocal units from a planar embedding without the need for prior sound segmentationCorinna Lorenz, Xinyu Hao, Tomas Tomka, et al.
Elife|July 3, 2024
Goal-directed vocal planning in a songbirdAnja T Zai, Anna E Stepien, Nicolas Giret, et al.
Neural Computation|August 28, 2015
Linear Methods for Efficient and Fast Separation of Two Sources Recorded with a Single MicrophoneSaurabh Bhargava, Florian Blättler, Sepp Kollmorgen, et al.
Neuron|March 2, 2010
Spike-time-dependent plasticity and heterosynaptic competition organize networks to produce long scale-free sequences of neural activityIla R Fiete, Walter Senn, Claude Z H Wang, et al.
Journal of Neurophysiology|April 9, 2004
Temporal sparseness of the premotor drive is important for rapid learning in a neural network model of birdsongIla R Fiete, Richard H R Hahnloser, Michale S Fee, et al.
Plos Biology|October 11, 2016
A Neural Code That Is Isometric to Vocal Output and Correlates with Its Sensory ConsequencesAlexei L Vyssotski, Anna E Stepien, Georg B Keller, et al.
Iscience|January 26, 2026
Estimating the motor exploration in reinforcement learningAnja T Zai, Corinna Lorenz, Shakana Srikantharajah, et al.
Pageof 6

Showing results (31-40 of 57) with videos related to

Sort By:
Pageof 6
Nature Communications|August 15, 2018
Learning auditory discriminations from observation is efficient but less robust than learning from experienceGagan Narula, Joshua A Herbst, Joerg Rychen, et al.
Journal of Neuroscience Methods|July 16, 2008
Spike sorting with hidden Markov modelsJoshua A Herbst, Stephan Gammeter, David Ferrero, et al.
The Journal of Neuroscience : the Official Journal of the Society for Neuroscience|May 9, 2008
Spikes and bursts in two types of thalamic projection neurons differentially shape sleep patterns and auditory responses in a songbirdRichard H R Hahnloser, Claude Z-H Wang, Aymeric Nager, et al.
Frontiers in Bioinformatics|January 30, 2023
Interactive extraction of diverse vocal units from a planar embedding without the need for prior sound segmentationCorinna Lorenz, Xinyu Hao, Tomas Tomka, et al.
Elife|July 3, 2024
Goal-directed vocal planning in a songbirdAnja T Zai, Anna E Stepien, Nicolas Giret, et al.
Neural Computation|August 28, 2015
Linear Methods for Efficient and Fast Separation of Two Sources Recorded with a Single MicrophoneSaurabh Bhargava, Florian Blättler, Sepp Kollmorgen, et al.
Neuron|March 2, 2010
Spike-time-dependent plasticity and heterosynaptic competition organize networks to produce long scale-free sequences of neural activityIla R Fiete, Walter Senn, Claude Z H Wang, et al.
Journal of Neurophysiology|April 9, 2004
Temporal sparseness of the premotor drive is important for rapid learning in a neural network model of birdsongIla R Fiete, Richard H R Hahnloser, Michale S Fee, et al.
Plos Biology|October 11, 2016
A Neural Code That Is Isometric to Vocal Output and Correlates with Its Sensory ConsequencesAlexei L Vyssotski, Anna E Stepien, Georg B Keller, et al.
Iscience|January 26, 2026
Estimating the motor exploration in reinforcement learningAnja T Zai, Corinna Lorenz, Shakana Srikantharajah, et al.
Pageof 6