Richard Hahnloser
Richard Hahnloser
Institute of Neuroinformatics, ETH Zurich and University of Zurich
Verified email at
Cited by
Cited by
Digital selection and analogue amplification coexist in a cortex-inspired silicon circuit
RHR Hahnloser, R Sarpeshkar, MA Mahowald, RJ Douglas, HS Seung
nature 405 (6789), 947-951, 2000
An ultra-sparse code underliesthe generation of neural sequences in a songbird
RHR Hahnloser, AA Kozhevnikov, MS Fee
Nature 419 (6902), 65-70, 2002
Permitted and forbidden sets in symmetric threshold-linear networks
R Hahnloser, HS Seung
Advances in neural information processing systems 13, 2000
Spike-time-dependent plasticity and heterosynaptic competition organize networks to produce long scale-free sequences of neural activity
IR Fiete, W Senn, CZH Wang, RHR Hahnloser
Neuron 65 (4), 563-576, 2010
Neural mechanisms of vocal sequence generation in the songbird
MS Fee, AA Kozhevnikov, RHR Hahnloser
Annals of the New York Academy of Sciences 1016 (1), 153-170, 2004
Neural processing of auditory feedback during vocal practice in a songbird
GB Keller, RHR Hahnloser
Nature 457 (7226), 187-190, 2009
On the piecewise analysis of networks of linear threshold neurons
RLT Hahnloser
Neural Networks 11 (4), 691-697, 1998
Double-ring network model of the head-direction system
X Xie, RHR Hahnloser, HS Seung
Physical Review E 66 (4), 041902, 2002
Deep sleep maintains learning efficiency of the human brain
S Fattinger, TT de Beukelaar, KL Ruddy, C Volk, NC Heyse, JA Herbst, ...
Nature communications 8 (1), 15405, 2017
Temporal sparseness of the premotor drive is important for rapid learning in a neural network model of birdsong
IR Fiete, RHR Hahnloser, MS Fee, HS Seung
Journal of neurophysiology 92 (4), 2274-2282, 2004
Rhythmic continuous-time coding in the songbird analog of vocal motor cortex
GF Lynch, TS Okubo, A Hanuschkin, RHR Hahnloser, MS Fee
Neuron 90 (4), 877-892, 2016
Rapid interhemispheric switching during vocal production in a songbird
CZH Wang, JA Herbst, GB Keller, RHR Hahnloser
PLoS biology 6 (10), e250, 2008
Sleep-related neural activity in a premotor and a basal-ganglia pathway of the songbird
RHR Hahnloser, AA Kozhevnikov, MS Fee
Journal of neurophysiology 96 (2), 794-812, 2006
Reconstruction of vocal interactions in a group of small songbirds
VN Anisimov, JA Herbst, AN Abramchuk, AV Latanov, RHR Hahnloser, ...
nature methods 11 (11), 1135-1137, 2014
Selectively grouping neurons in recurrent networks of lateral inhibition
X Xie, RHR Hahnloser, HS Seung
Neural computation 14 (11), 2627-2646, 2002
Feedback interactions between neuronal pointers and maps for attentional processing
R Hahnloser, RJ Douglas, M Mahowald, K Hepp
nature neuroscience 2 (8), 746-752, 1999
Auditory representations and memory in birdsong learning
RHR Hahnloser, A Kotowicz
Current opinion in neurobiology 20 (3), 332-339, 2010
Songbirds work around computational complexity by learning song vocabulary independently of sequence
D Lipkind, AT Zai, A Hanuschkin, GF Marcus, O Tchernichovski, ...
Nature communications 8 (1), 1247, 2017
Timing of ossification in duck, quail, and zebra finch: intraspecific variation, heterochronies, and life history evolution
C Mitgutsch, C Wimmer, MR Sánchez-Villagra, R Hahnloser, ...
Zoological science 28 (7), 491, 2011
A Hebbian learning rule gives rise to mirror neurons and links them to control theoretic inverse models
A Hanuschkin, S Ganguli, RHR Hahnloser
Frontiers in neural circuits 7, 106, 2013
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