Birdsong Group  Richard Hahnloser's page 

Publications

Journal Papers

Hahnloser, R.H., Kotowicz, A. Auditory representations and memory in birdsong learning. Current Opinion in Neurobiology, in press (2010).

Fiete, I.R., Senn, W., Wang, C. & Hahnloser, R.H. Spike time-dependent plasticity and heterosynaptic competition organize networks to produce long scale-free sequences of neural activity. Neuron, 65(4): 563-76 (2010).

D'Souza, P., Liu., S.-C. & Hahnloser, R.H. The perceptron learning rule derived from spike-frequency adaptation and spike-time dependent plasticity. PNAS, 107(10): 4722-7 (2010).

Keller, G.B. & Hahnloser, R.H. Neural processing of auditory feedback during vocal practice in a songbird. Nature, 457(7226): 187-90 (2009).

Wang, C.Z., Herbst, J.A., Keller, G.B. & Hahnloser, R.H. Rapid interhemispheric switching during vocal production in a songbird. PLoS Biol 6, e250 (2008).

Herbst, J.A., Gammeter, S., Ferrero, D. & Hahnloser, R.H. Spike sorting with hidden Markov models. J Neurosci Methods 174, 126-134 (2008).

Hahnloser, R.H., Wang, C.Z., Nager, A. & Naie, K. Spikes and bursts in two types of thalamic projection neurons differentially shape sleep patterns and auditory responses in a songbird. J Neurosci 28, 5040-5052 (2008).

Weber, A.P. & Hahnloser, R.H. Spike correlations in a songbird agree with a simple markov population model. PLoS Comput Biol 3, e249 (2007).

Hahnloser, R.H. & Fee, M.S. Sleep-related spike bursts in HVC are driven by the nucleus interface of the nidopallium. J Neurophysiol 97, 423-435 (2007).

Hahnloser, R.H. Cross-intensity functions and the estimate of spike-time jitter. Biol Cybern 96, 497-506 (2007).

Hahnloser, R.H., Kozhevnikov, A.A. & Fee, M.S. Sleep-related neural activity in a premotor and a basal-ganglia pathway of the songbird. J Neurophysiol 96, 794-812 (2006).

Fiete, I.R., Hahnloser, R.H., Fee, M.S. & Seung, H.S. Temporal sparseness of the premotor drive is important for rapid learning in a neural network model of birdsong. J Neurophysiol 92, 2274-2282 (2004).

Fee, M.S., Kozhevnikov, A.A. & Hahnloser, R.H. Neural mechanisms of vocal sequence generation in the songbird. Ann N Y Acad Sci 1016, 153-170 (2004).

Hahnloser, R.H., Seung, H.S. & Slotine, J.J. Permitted and forbidden sets in symmetric threshold-linear networks. Neural Comput 15 , 621-638 (2003).

Hahnloser, R.H. Stationary transmission distribution of random spike trains by dynamical synapses. Phys Rev E Stat Nonlin Soft Matter Phys 67, 022901 (2003).

Hahnloser, R.H. Emergence of neural integration in the head-direction system by visual supervision. Neuroscience 120, 877-891 (2003).

Xie, X., Hahnloser, R.H. & Seung, H.S. Selectively grouping neurons in recurrent networks of lateral inhibition. Neural Comput 14, 2627-2646 (2002).

Xie, X., Hahnloser, R.H. & Seung, H.S. Double-ring network model of the head-direction system. Phys Rev E Stat Nonlin Soft Matter Phys 66, 041902 (2002).

Hahnloser, R.H., Kozhevnikov, A.A. & Fee, M.S. An ultra-sparse code underlies the generation of neural sequences in a songbird. Nature 419, 65-70 (2002).

Hahnloser, R.H., Douglas, R.J. & Hepp, K. Attentional recruitment of inter-areal recurrent networks for selective gain control. Neural Comput 14, 1669-1689 (2002).

Rasche, C. & Hahnloser, R.H. Silicon synaptic depression. Biol Cybern 84, 57-62 (2001).

Hahnloser, R.H., Sarpeshkar, R., Mahowald, M.A., Douglas, R.J. & Seung, H.S. Digital selection and analogue amplification coexist in a cortex-inspired silicon circuit. Nature 405, 947-951 (2000).

Mudra, R., Hahnloser, R. & Douglas, R.J. Integrating neuromorphic action-oriented perceptual inputs to generate a navigation behaviour for a robot. Int J Neural Syst 9, 411-416 (1999).

Hahnloser, R., Douglas, R.J., Mahowald, M. & Hepp, K. Feedback interactions between neuronal pointers and maps for attentional processing. Nat Neurosci 2, 746-752 (1999).

Hahnloser, R.L. On the piecewise analysis of networks of linear threshold neurons. Neural Netw 11, 691-697 (1998).

Hahnloser, R. Learning algorithms based on linearization. Network 9, 363-380 (1998).

Conference Proceedings

Danóczy, M. & Hahnloser, R.H.R. Efficient estimation of hidden state dynamics from spike trains in NIPS Vol. 17 (2005).

Hahnloser, R.H.R., Xie, X. & Seung, H.S. A theory of neural integration in the head-direction system. . in NIPS, Vol. 14 (2002).

Xie, X., Hahnloser, R.H.R. & Seung, H.S. Learning Winner-Take-All competition between Groups of Neurons in Lateral Inhibitory Networks. . in NIPS, Vol. 13 (2001).

Hahnloser, R.H.R. & Seung, S. Permitted and Forbidden Sets in Symmetric Threshold Linear Networks. in NIPS, Vol. 13. (2001).

Mudra, R., Hahnloser, R.H.R. & Douglas, R.J. Integrating Neuromorphic Action-Oriented Perceptual Inputs to Generate a Navigation Behaviour for a Robot. . in EWNS2: 2nd European Workshop on Neuromorphic Systems (University of Stirling, 1999).

Mudra, R., Hahnloser, R. & Douglas, R.J. Neuromorphic active vision used in simple navigation behavior for a robot. Proceedings of the Seventh International Conference on Microelectronics for Neural, Fuzzy and Bio-Inspired Systems, Micorneuro'99, 32-36 (1999).