Birdsong Group  Richard Hahnloser's page 

Publications

Journal Papers

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, in press.

D'Souza, P., Liu., S.-C. & Hahnloser, R.H. The perceptron learning rule derived from spike-frequency adaptation and spike-time dpenedent plasticity. PNAS, in press.

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).