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Richard H.R. Hahnloser - Publications

Affiliations: 
INI, ETH Zurich, Zürich, Zürich, Switzerland 
Area:
computational neuroscience; birdsong electrophysiology
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45 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2019 Daliparthi VK, Tachibana RO, Cooper BG, Hahnloser RH, Kojima S, Sober SJ, Roberts TF. Transitioning between preparatory and precisely sequenced neuronal activity in production of a skilled behavior. Elife. 8. PMID 31184589 DOI: 10.7554/Elife.43732  0.769
2019 Lee J, Kojima S, Hahnloser R. Neural ensemble dynamics during vocal learning Ibro Reports. 6: S158. DOI: 10.1016/j.ibror.2019.07.500  0.381
2019 Hahnloser R, Zai A. A computational view on motor exploration during reinforcement learning Ibro Reports. 6: S50. DOI: 10.1016/j.ibror.2019.07.155  0.381
2018 Huang Z, Khaled HG, Kirschmann M, Gobes SM, Hahnloser RH. Excitatory and inhibitory synapse reorganization immediately after critical sensory experience in a vocal learner. Elife. 7. PMID 30355450 DOI: 10.7554/eLife.37571  0.404
2017 Hahnloser RH, Narula G. A Bayesian Account of Vocal Adaptation to Pitch-Shifted Auditory Feedback. Plos One. 12: e0169795. PMID 28135267 DOI: 10.1371/journal.pone.0169795  0.405
2017 Jovalekic A, Cavé-Lopez S, Canopoli A, Ondracek JM, Nager A, Vyssotski AL, Hahnloser RH. A lightweight feedback-controlled microdrive for chronic neural recordings. Journal of Neural Engineering. 14: 026006. PMID 28071593 DOI: 10.1088/1741-2552/Aa5848  0.777
2016 Vyssotski AL, Stepien AE, Keller GB, Hahnloser RH. A Neural Code That Is Isometric to Vocal Output and Correlates with Its Sensory Consequences. Plos Biology. 14: e2000317. PMID 27723764 DOI: 10.1371/journal.pbio.2000317  0.816
2016 Lynch GF, Okubo TS, Hanuschkin A, Hahnloser RH, Fee MS. Rhythmic Continuous-Time Coding in the Songbird Analog of Vocal Motor Cortex. Neuron. 90: 877-92. PMID 27196977 DOI: 10.1016/J.Neuron.2016.04.021  0.808
2014 Canopoli A, Herbst JA, Hahnloser RH. 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. PMID 24828654 DOI: 10.1523/JNEUROSCI.0266-14.2014  0.416
2014 Giret N, Kornfeld J, Ganguli S, Hahnloser RH. 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. PMID 24711417 DOI: 10.1073/Pnas.1317087111  0.801
2014 Kollmorgen S, Hahnloser RH. Dynamic alignment models for neural coding. Plos Computational Biology. 10: e1003508. PMID 24625448 DOI: 10.1371/journal.pcbi.1003508  0.394
2013 Graber MH, Helmchen F, Hahnloser RH. Activity in a premotor cortical nucleus of zebra finches is locally organized and exhibits auditory selectivity in neurons but not in glia. Plos One. 8: e81177. PMID 24312533 DOI: 10.1371/journal.pone.0081177  0.533
2013 Hanuschkin A, Ganguli S, Hahnloser RH. A Hebbian learning rule gives rise to mirror neurons and links them to control theoretic inverse models. Frontiers in Neural Circuits. 7: 106. PMID 23801941 DOI: 10.3389/Fncir.2013.00106  0.54
2013 Lewandowski B, Vyssotski A, Hahnloser RH, Schmidt M. At the interface of the auditory and vocal motor systems: NIf and its role in vocal processing, production and learning. Journal of Physiology, Paris. 107: 178-92. PMID 23603062 DOI: 10.1016/J.Jphysparis.2013.04.001  0.467
2011 Blättler F, Hahnloser RH. An efficient coding hypothesis links sparsity and selectivity of neural responses. Plos One. 6: e25506. PMID 22022405 DOI: 10.1371/journal.pone.0025506  0.479
2011 Naie K, Hahnloser RH. Regulation of learned vocal behavior by an auditory motor cortical nucleus in juvenile zebra finches. Journal of Neurophysiology. 106: 291-300. PMID 21525374 DOI: 10.1152/jn.01035.2010  0.439
2011 Oberti D, Kirschmann MA, Hahnloser RH. Projection neuron circuits resolved using correlative array tomography. Frontiers in Neuroscience. 5: 50. PMID 21519397 DOI: 10.3389/fnins.2011.00050  0.397
2011 Husain M, Thomas C, Kirschmann M, Oberti D, Hahnloser R. Functional and Structural Investigation of Songbird Brain Projection Neurons with Shuttle and Find Microscopy and Microanalysis. 17: 242-243. DOI: 10.1017/S143192761100208X  0.349
2010 Oberti D, Kirschmann MA, Hahnloser RH. Correlative microscopy of densely labeled projection neurons using neural tracers. Frontiers in Neuroanatomy. 4: 24. PMID 20676237 DOI: 10.3389/fnana.2010.00024  0.403
2010 Hahnloser RH, Kotowicz A. Auditory representations and memory in birdsong learning. Current Opinion in Neurobiology. 20: 332-9. PMID 20307967 DOI: 10.1016/j.conb.2010.02.011  0.467
2010 Fiete IR, Senn W, Wang CZ, Hahnloser RH. Spike-time-dependent plasticity and heterosynaptic competition organize networks to produce long scale-free sequences of neural activity. Neuron. 65: 563-76. PMID 20188660 DOI: 10.1016/j.neuron.2010.02.003  0.788
2010 D'Souza P, Liu SC, Hahnloser RH. 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: 4722-7. PMID 20167805 DOI: 10.1073/pnas.0909394107  0.535
2009 Keller GB, Hahnloser RH. Neural processing of auditory feedback during vocal practice in a songbird. Nature. 457: 187-90. PMID 19005471 DOI: 10.1038/nature07467  0.818
2008 Wang CZ, Herbst JA, Keller GB, Hahnloser RH. Rapid interhemispheric switching during vocal production in a songbird. Plos Biology. 6: e250. PMID 18922044 DOI: 10.1371/journal.pbio.0060250  0.773
2008 Herbst JA, Gammeter S, Ferrero D, Hahnloser RH. Spike sorting with hidden Markov models. Journal of Neuroscience Methods. 174: 126-34. PMID 18619490 DOI: 10.1016/j.jneumeth.2008.06.011  0.768
2008 Hahnloser RH, Wang CZ, Nager A, Naie K. Spikes and bursts in two types of thalamic projection neurons differentially shape sleep patterns and auditory responses in a songbird. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 28: 5040-52. PMID 18463257 DOI: 10.1523/JNEUROSCI.5059-07.2008  0.693
2007 Weber AP, Hahnloser RH. Spike correlations in a songbird agree with a simple markov population model. Plos Computational Biology. 3: e249. PMID 18159941 DOI: 10.1371/journal.pcbi.0030249  0.466
2007 Hahnloser RH. Cross-intensity functions and the estimate of spike-time jitter. Biological Cybernetics. 96: 497-506. PMID 17387506 DOI: 10.1007/s00422-007-0143-7  0.423
2007 Hahnloser RH, Fee MS. Sleep-related spike bursts in HVC are driven by the nucleus interface of the nidopallium. Journal of Neurophysiology. 97: 423-35. PMID 17005618 DOI: 10.1152/jn.00547.2006  0.707
2006 Hahnloser RH, Kozhevnikov AA, Fee MS. Sleep-related neural activity in a premotor and a basal-ganglia pathway of the songbird. Journal of Neurophysiology. 96: 794-812. PMID 16495362 DOI: 10.1152/jn.01064.2005  0.752
2004 Fee MS, Kozhevnikov AA, Hahnloser RH. Neural mechanisms of vocal sequence generation in the songbird. Annals of the New York Academy of Sciences. 1016: 153-70. PMID 15313774 DOI: 10.1196/annals.1298.022  0.799
2004 Fiete IR, Hahnloser RH, Fee MS, Seung HS. Temporal sparseness of the premotor drive is important for rapid learning in a neural network model of birdsong. Journal of Neurophysiology. 92: 2274-82. PMID 15071087 DOI: 10.1152/jn.01133.2003  0.786
2003 Hahnloser RH. Emergence of neural integration in the head-direction system by visual supervision. Neuroscience. 120: 877-91. PMID 12895528 DOI: 10.1016/S0306-4522(03)00201-X  0.494
2003 Hahnloser RH. Stationary transmission distribution of random spike trains by dynamical synapses. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 67: 022901. PMID 12636725 DOI: 10.1103/Physreve.67.022901  0.305
2003 Hahnloser RH, Seung HS, Slotine JJ. Permitted and forbidden sets in symmetric threshold-linear networks. Neural Computation. 15: 621-38. PMID 12620160 DOI: 10.1162/089976603321192103  0.655
2002 Xie X, Hahnloser RH, Seung HS. Double-ring network model of the head-direction system. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 66: 041902. PMID 12443230 DOI: 10.1103/PhysRevE.66.041902  0.739
2002 Xie X, Hahnloser RH, Seung HS. Selectively grouping neurons in recurrent networks of lateral inhibition. Neural Computation. 14: 2627-46. PMID 12433293 DOI: 10.1162/089976602760408008  0.76
2002 Hahnloser RH, Kozhevnikov AA, Fee MS. An ultra-sparse code underlies the generation of neural sequences in a songbird. Nature. 419: 65-70. PMID 12214232 DOI: 10.1038/nature00974  0.779
2002 Hahnloser RH, Douglas RJ, Hepp K. Attentional recruitment of inter-areal recurrent networks for selective gain control. Neural Computation. 14: 1669-89. PMID 12079551 DOI: 10.1162/08997660260028665  0.697
2001 Rasche C, Hahnloser RH. Silicon synaptic depression. Biological Cybernetics. 84: 57-62. PMID 11204399 DOI: 10.1007/S004220170004  0.322
2001 Xie X, Hahnloser R, Seung HS. Learning winner-take-all competition between groups of neurons in lateral inhibitory networks Advances in Neural Information Processing Systems.  0.704
2000 Hahnloser RH, Sarpeshkar R, Mahowald MA, Douglas RJ, Seung HS. Digital selection and analogue amplification coexist in a cortex-inspired silicon circuit. Nature. 405: 947-51. PMID 10879535 DOI: 10.1038/35016072  0.783
1999 Mudra R, Hahnloser R, Douglas RJ. Integrating neuromorphic action-oriented perceptual inputs to generate a navigation behaviour for a robot. International Journal of Neural Systems. 9: 411-6. PMID 10630470 DOI: 10.1142/S012906579900040X  0.67
1999 Hahnloser R, Douglas RJ, Mahowald M, Hepp K. Feedback interactions between neuronal pointers and maps for attentional processing. Nature Neuroscience. 2: 746-52. PMID 10412065 DOI: 10.1038/11219  0.707
1998 Hahnloser R. Learning algorithms based on linearization Network: Computation in Neural Systems. 9: 363-380. DOI: 10.1088/0954-898X_9_3_006  0.362
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