Richard Hahnloser

Email:	rich@ini.phys.ethz.ch
Work phone:	41 44/ 635 3060
Home page:	http://www.ini.uzh.ch/~rich

I studied physics and obtained my PhD at the ETH Zurich. I am interested in brain functions that can be characterized by a computational goal encompassing sensory inputs and motor outputs. My favorite examples are vocal production and vocal learning, which I study in songbirds using reductionist experimental and theoretical approaches.

Projects

Teaching

INI-414 Neurophysics

INI-425 Block: Computational Neuroscience

INI-426 Block: Systems Neuroscience

INI-431 Foundational Literature of Neuroscience

INI-432 Neuroscience: From Networks to Systems

INI-434 Block: Insights Into Neuroinformatics

INI-502 Basics of instrumentation, measurement and analysis

INI-503 NSC Master Thesis (long) and Exam

INI-504 NSC Master Thesis (short) and Exam

INI-505 NSC Master Short Project I

INI-506 NSC Master Short Project II

INI-701 Kolloquium in Neuroinformatik

Publications

2011

Blättler, F. and Hahnloser, R.H.R. An Efficient Coding Hypothesis Links Sparsity and Selectivity of Neural Responses, PloS one, 6:(10) e25506, 2011
Mitgutsch, C and Wimmer, C and Sánchez-Villagra, M R and Hahnloser, R H R and Schneider, R A Timing of ossification in duck, quail, and zebra finch: intraspecific variation, heterochronies, and life history evolution, Zoological science, 28: 491-500, 2011
Naie, K. and Hahnloser, R.H.R. Regulation of learned vocal behavior by an auditory motor cortical nucleus in juvenile zebra finches, Journal of Neurophysiology, 106:(1) 291-300, 2011
Oberti, D. and Kirschmann, M.A. and Hahnloser, R.H.R. Projection neuron circuits resolved using correlative array tomography, Frontiers in neuroscience, 5: 50, 2011

2010

D'Souza, P and Liu, S C and Hahnloser, R H R Perceptron learning rule derived from spike-frequency adaptation and spike-time-dependent plasticity, Proceedings of the National Academy of Sciences of the United States of America, 107:(10) 4722-4727, 2010
Fiete, I R and Senn, W and Wang, C Z H and Hahnloser, R H R Spike time-dependent plasticity and heterosynaptic competition organize networks to produce long scale-free sequences of neural activity, Neuron, 65:(4) 563-576, 2010
Hahnloser, R H R and Kotowicz, A Auditory representations and memory in birdsong learning, Current Opinion in Neurobiology, 20:(3) 332-339, 2010

2008

Hahnloser, Richard H.R. and Wang, Claude Z.H. and Nager, Aymeric and Naie, Katja Spikes and Bursts in Two Types of Thalamic Projection Neurons Differentially Shape Sleep Patterns and Auditory Responses in a Songbird, Journal of Neuroscience, 28:(19) 5040-5052, 2008
Herbst, Joshua A. and Gammeter, Stephan and Ferrero, David and Hahnloser, Richard H.R. Spike sorting with hidden Markov models, Journal of Neuroscience Methods, 174:(1) 126-34, 2008
Keller, GB and Hahnloser, RHR Neural processing of auditory feedback during vocal practice in a songbird, Nature, 456:(7219) 187-190, 2008
Wang, Claude Z. H. and Herbst, Joshua A. and Keller, Georg B. and Hahnloser, Richard H.R. Rapid Interhemispheric Switching during Vocal Production in a Songbird, PLoS Biology, 6:(10) 2154-2162, 2008

2007

Hahnloser, R.H. Cross-intensity functions and the estimate of spike-time jitter, Biological Cybernetics, 96:(5) 497-506, 2007
Hahnloser, R.H.R. and Fee, M.S. Sleep-related spike bursts in HVC are driven by the nucleus interface of the nidopallium, Journal of Neurophysiology, 97:(1) 423-435, 2007
Weber, A.P. and Hahnloser, R.H. Spike correlations in a songbird agree with a simple Markov population model, PLoS Computational Biology, 3:(12) e249 doi:10.1371/journal.pcbi.0030249, 2007

2006

Hahnloser, R.H.R. and Kozhevnikov, A. and Fee, M.S. Sleep-related neural activity in a premotor and a basal-ganglia pathway of the songbird.of birdsong., Journal of Neurophysiology, 96:(2) 794-812, 2006

2005

Danóczy, M and Hahnloser, R.H.R. Efficient estimation of hidden state dynamics from spike trains , NIPS Proceedings, 17:, 2005

2004

Fiete, I and Hahnloser, R and Fee, M and Seung, S Temporal sparseness of the premotor drive is important for rapid learning in a neural network model of birdsong., Journal of Neurophysiology, 92:(4) 2274-82, 2004
Fee, Michale and Kozhevnikov, Alex and Hahnloser, Richard Neural mechanisms of vocal sequence generation in the songbird., Behavioral Neurobiology of Birdsong 153-170, 2004

2002

Hahnloser, RH and Douglas, RJ and Hepp, K Attentional recruitment of inter-areal recurrent networks for selective gain control., Neural Computation, 14:(7) 1669-89, 2002

2001

Rasche, C. and Hahnloser, R. Silicon Synaptic Depression, Biological Cybernetics, 84:(1) 57-62, 2001

2000

Hahnloser, Richard and Sarpeshkar, R. and Mahowald, Misha and Douglas, Rodney J. and Seung, S. Digital selection and analog amplification co-exist in an electronic circuit inspired by neocortex, Nature, 405: 947-951, 2000

1999

Hahnloser, R and Douglas, R and Mahowald, M and Hepp, K Feedback interactions between neuronal pointers and maps for attentional processing, Nature Neuroscience, 2: 746-752, 1999
Mudra, R. and Hahnloser, R. and Douglas, R.J. Neuromorphic Active Vision Used in Simple Navigation Behavior for a Robot, Proceedings of the 7th International Conference on Microelectronics for Neural Networks, 1: 32-36, 1999

1998

Hahnloser, R.H.R. Generating Network Trajectories Using Gradient Descent in State Space, IJCNN - International Joint Conference on Neural Networks 2373-2377, 1998
Hahnloser, Richard H.R. Learning Algorithms Based on Linearization, Network, Computation in Neural Systems, 9(3): 363-380, 1998
Hahnloser, Richard H.R. About the Piecewise Analysis of Networks of Linear Threshold Neurons, Neural Networks, 11: 691-697, 1998