| 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 | 1699 | 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 | 1199 | 2002 |
| Permitted and forbidden sets in symmetric threshold-linear networks R Hahnloser, HS Seung Advances in neural information processing systems 13, 2000 | 314 | 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 | 307 | 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 | 288 | 2004 |
| Neural processing of auditory feedback during vocal practice in a songbird GB Keller, RHR Hahnloser Nature 457 (7226), 187-190, 2009 | 259 | 2009 |
| On the piecewise analysis of networks of linear threshold neurons RLT Hahnloser Neural Networks 11 (4), 691-697, 1998 | 159 | 1998 |
| 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 | 141 | 2017 |
| Double-ring network model of the head-direction system X Xie, RHR Hahnloser, HS Seung Physical Review E 66 (4), 041902, 2002 | 132 | 2002 |
| 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 | 115 | 2016 |
| 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 | 114 | 2004 |
| Rapid interhemispheric switching during vocal production in a songbird CZH Wang, JA Herbst, GB Keller, RHR Hahnloser PLoS biology 6 (10), e250, 2008 | 95 | 2008 |
| 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 | 93 | 2014 |
| 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 | 92 | 2006 |
| Selectively grouping neurons in recurrent networks of lateral inhibition X Xie, RHR Hahnloser, HS Seung Neural computation 14 (11), 2627-2646, 2002 | 84 | 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 | 77 | 1999 |
| 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 | 72 | 2017 |
| Auditory representations and memory in birdsong learning RHR Hahnloser, A Kotowicz Current opinion in neurobiology 20 (3), 332-339, 2010 | 72 | 2010 |
| 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 | 68 | 2011 |
| Spike sorting with hidden Markov models JA Herbst, S Gammeter, D Ferrero, RHR Hahnloser Journal of neuroscience methods 174 (1), 126-134, 2008 | 63 | 2008 |
