Publications Computational Neuroscience Group

A.L. Wantz, J.S. Lobmaier, F.W. Mast, W. Senn.
Spatial But Not Oculomotor Information Biases Perceptual Memory: Evidence From Face Perception and Cognitive Modeling. Cognitive Science 41:1533–1554, 2017 DOI

J. Brea, A. Gaál, R. Urbanczik †, W. Senn.
Prospective Coding by Spiking Neurons. PLoS Comput Biol 12(6): e100500, 2016 DOI pdf

M. Schiess, R. Urbanczik, W. Senn.
Somato-dendritic Synaptic Plasticity and Error-backpropagation in Active Dendrites. PLoS Comput Biol 12(2): e1004638, 2016 DOI pdf

W. Senn, J. Sacramento.
Backward reasoning the formation rules. Nat. Neurosci. 18(12):1705-1706, 2015 DOI pdf

B.B. Vladimirskiy, R. Urbanczik, W. Senn.
Hierarchical Novelty-Familiarity Representation in the Visual System by Modular Predictive Coding. PLoS ONE 10(12): e0144636, 2015 DOI

A.M. Clarke, J. Friedrich, E.M. Tartaglia, S. Marchesotti, W. Senn, M.H. Herzog.
Human and Machine Learning in Non-Markovian Decision Making. PLoS ONE 10(4): e0123105, 2015 DOI

W. Senn, J. Brea.
Neurons that Remember How We Got There. Neuron 85(4):664-666, 2015 DOI

A. Khajeh-Alijani, R. Urbanczik, W. Senn.
Scale-Free Navigational Planning by Neuronal Traveling Waves. PLoS ONE 10(7): e0127269, 2015 DOI

J. Brea, W. Senn.
Vom Nutzen des Vergessens oder was uns die Fruchtfliege ­lehren kann. VSAO J. 2:32-33, 2015

J. Brea, R. Urbanczik, W. Senn.
A Normative Theory of Forgetting: Lessons from the Fruit Fly. PLoS Comput Biol 10(6): e1003640, 2014 DOI pdf

J. Friedrich, R. Urbanczik, W. Senn.
Code-specific Learning Rules Improve Action Selection by Populations of Spiking Neurons. Int. J. of Neural Systems 24: 1, 2014 DOI

R. Urbanczik, W. Senn.
Learning by the dendritic prediction of somatic spiking. Neuron 81(3):521–528, 2014 DOI pdf

T. Lüdge, R. Urbanczik, W. Senn.
Modulation of orientation-selective Neurons by motion: when additive, when multiplicative?. Front.Comput.Neurosci. 8:67, 2014 DOI

SM Blom, J.P. Pfister, M. Santello, W. Senn & T. Nevian.
Nerve injury-induced neuropathic pain causes disinhibition of the anterior cingulate cortex. J. Neurosci. 34(17):5754-5764, 2014 DOI

W. Senn, J.P. Pfister.
Reinforcement learning in cortical networks. Springer 2014

W. Senn, J.P. Pfister.
Spike-Timing Dependent Plasticity, Learning Rules. Springer 2014

R. Caspar, Supervisors: W. Senn, R. Urbanczik.
Master Thesis: "Mapping the Hodkgin-Huxley Neuron to an Escape Rate Neuron". 2013

J. Brea, W. Senn, J.P. Pfister.
Matching Recall and Storage in Sequence Learning with Spiking Neural Networks. J. Neurosci. 33(23): 9565–9575, 2013 DOI

M. Schiess, R. Urbanzik, W. Senn.
Gradient estimation in dendritic reinforcement learning. J. Math Neuroscience 2: 2, 2012 DOI

J. Friedrich, W. Senn.
Spike-based Decision Learning of Nash Equilibria in Two-Player Games. PLoS Comput Biol 2012 DOI

J. Brea, W. Senn, and J.-P. Pfister.
Sequence learning with hidden units in spiking neural networks.In J. Shawe-Taylor, R. Zemel, P. Bartlett, F. Pereira, and K. Weinberger, editors. Advances in Neural Information Processing Systems 24 pp. 1422-1430, 2011

J. Friedrich, R. Urbanczik, W. Senn.
Spatio-Temporal Credit Assignment in Neuronal Population Learning. PLoS Comput Biol 7:1-13, 2011 DOI pdf

J. Friedrich, R. Urbanczik, W. Senn.
Learning Spike-Based Population Codes by Reward and Population Feedback. Neural Comput. 22:1698-1717, 2010

I.R. Fiete, W. Senn, C.Z.H. Wang, R.H.R. Hahnloser.
Spike-Time-Dependent Plasticity and Heterosynaptic Competition Organize Networks to Produce Long Scale-Free Sequences of Neural Activity. Neuron 65:563-576, 2010 pdf

R. Urbanczik, W. Senn.
A gradient learning rule for the tempotron. Neural Comput. 21:340-352, 2009

R. Schäfer, E. Vasilaki, W. Senn.
Adaptive Gain Modulation in V1 Explains Contextual Modifications during Bisection Learning. PLoS Comput Biol 5:1-12, 2009 DOI pdf

M. Murayama, E. Pérez-Garci, T. Nevian, T. Bock, W. Senn, M.E. Larkum.
Dendritic encoding of sensory stimuli controlled by deep cortical interneurons. Nature 457:1137-1141, 2009 DOI pdf

E. Vasilaki, S. Fusi, X.J. Wang, W. Senn.
Learning flexible sensori-motor mappings in a complex network. Biol. Cybern. 100:147–158, 2009 DOI

W. Senn.
Mathematisierung der Biologie: Mode oder Notwendigkeit? Aktualität und Vergänglichkeit der Leitwissenschaften. Peter Lang AG, Internationaler Verlag der Wissenschaften S. 97-118, 2009

R. Urbanczik, W. Senn.
Reinforcement learning in populations of spiking neurons. Nat. Neurosci. 12:250-252, 2009 DOI

E. Vasilaki, N. Frémaux, R. Urbanczik, W. Senn, W. Gerstner.
Spike-Based Reinforcement Learning in Continuous State and Action Space: When Policy Gradient Methods Fail. PLoS Comput Biol 5:1-17, 2009 DOI

B.B. Vladimirskiy, E. Vasilaki, R. Urbanczik, W. Senn.
Stimulus sampling as an exploration mechanism for fast reinforcement learning. Springer-Verlag Biol. Cybern. 100:319-330, 2009 DOI

K. Thurley, W. Senn, Hans-R. Lüscher.
Dopamine increases the gain of the input-output response of rat prefrontal pyramidal neurons. J. Neurophysiol. 99:2985-2997, 2008

Y. Kim, B.B. Vladimirskiy, W. Senn.
Modulating the granularity of category formation by global cortical states. Front.Comput.Neurosci. 2:1-14, 2008 DOI

M. Giugliano, G. La Camera, S. Fusi, W. Senn.
The response of cortical neurons to in vivo-like input current: theory and experiment II. Time-varying and spatially distributed inputs. Biol. Cybern. 99(4-5):303-18, 2008 DOI

G. La Camera, M. Giuglianio, W. Senn, S. Fusi.
The response of cortical neurons to in vivo-like input current: theoryand experiment I. Noisy inputs with stationary statistics. Biol. Cybern. 99(4-5):279-301, 2008 DOI

J.M. Brader, W. Senn, S. Fusi.
Learning real-world stimuli in a neural network with spike-driven synaptic dynamics. Neural Comput. 19:2881-2912, 2007

R. Schäfer, E. Vasilaki, W. Senn.
Perceptual learning via modification of cortical top-down signals. PLoS Comput Biol 3(8):e165, 2007 DOI

S. Fusi, W. Senn.
Eluding oblivion with smart stochastic selection of synaptic updates. Chaos, An Interdisciplinary Journal of Nonlinear Science 16, 026112, 1-11, 2006

T. Nyffeler, P. Wurtz, H.-R. Lüscher, C.W. Hess, W. Senn, T. Pflugshaupt, R. von Wartburg, M. Lüthi, R.M. Müri.
Extending lifetime of plastic changes in the human brain. EJN 24:2961-2966 , 2006

G. La Camera, A. Rauch, D. Thurbon, H.-R. Lüscher, W. Senn, S. Fusi.
Multiple Time Scales of Temporal Response in Pyramidal and Fast Spiking Cortical Neurons. Epub 2006 Jun 28. J. Neurophysiol. 96(6):3448-3464 , 2006

T. Nyffeler, P. Wurtz, H.-R. Lüscher, C.W. Hess, W. Senn, T. Pflugshaupt, R. von Wartburg, M. Luthi, R.M. Muri.
Repetitive TMS over the human oculomotor cortex: Comparison of 1-Hz and theta burst stimulation. Epub 2006 Oct 17. Neurosci. Lett. 409(1):57-60 , 2006

W. Senn, S. Fusi.
Convergence of stochastic learning in perceptrons with binary synapses. PhysRev E71:061907-1 - 061, 2005

W. Senn, S. Fusi.
Learning only when necessary: better memories of correlated patterns in networks with bounded synapses. Neural Comput. 17:2106-2138, 2005

J. Reutimann, V. Yakovlev, S. Fusi, W. Senn..
Climbing neuronal activity as an event-based cortical representation of time. J. Neurosci. 24(13):3295-3303 , 2004

G. La Camera, W. Senn, S. Fusi.
Comparison between networks of conductance- and current-driven neurons: stationary spike rates and subthreshold depolarization. Neurocomputing 58-60:253-258 , 2004

G. La Camera, A. Rauch, H.-R. Lüscher, W. Senn, S. Fusi..
Minimal models of adapted neuronal response to in vivo-like input currents. Neural Comput. 16: 2101-2124, 2004

W. Senn, S. Fusi.
Slow stochastic learning with global inhibition: a biological solution to the binary perceptron problem. Neurocomputing 58-60:321-326 , 2004

M.E. Larkum, W. Senn, H.-R. Lüscher.
Top-down dendritic input increases the gain of layer 5 pyramidal neurons. Cereb. Cortex 14:1059-1070, 2004

G. La Camera, W. Senn, S. Fusi.
Equivalent networks of conductance- and current driven neurons. In: O.Kaynak (eds.): Suppl. Proceedings of ICANN/ICONIP, 2003, LCNS 2714, pp. 449-452, Springer Verlag, 2003

T. Berger, W. Senn, H.-R. Lüscher.
Hyperpolarization-activated current Ih disconnects somatic and dendritic spike initiation zones in layer V pyramidal neurons. J. Neurophysiol. 90:2428-2437, 2003

A. Rauch, G. La Camera, H.-R. Lüscher, W. Senn, S. Fusi.
Neocortical pyramidal cells respond as integrate-and-fire neurons to in vivo-like input currents. J. Neurophysiol. 90:1598-1612, 2003

W. Senn, N.J. Buchs.
Spike-based synaptic plasticity and the emergence of direction selective simple cells: mathematical analysis. J. Comput. Neurosci. 14:119-138, 2003

M. Carandini, D.J. Heeger, W. Senn.
A synaptic explanation of suppression in visual cortex. J. Neurosci. 22(22):10053-10065, 2002

W. Senn, M. Schneider, B. Ruf.
Activity-dependent development of axonal and dendritic delays, or, why synaptic transmission should be unreliable. Neural Comput. 14:583-619, 2002

W. Senn.
Beyond spike timing: the role of nonlinear synapses. Biol. Cybern. 87:344-355, 2002

G. La Camera, A. Rauch, W. Senn, H.-R. Lüscher, S. Fusi.
Firing rate adaptation without losing sensitivity to input fluctuations. In: J.R. Dorronsoro (Ed.):. Springer-Verlag Proceedings of ICANN 2002, LNCS 2415, pp. 180-185, 2002

N.J. Buchs, W. Senn.
Spike-based synaptic plasticity and the emergence of direction selective simple cells: simulation results. J. Comput. Neurosci. 13:167:186, 2002

G. La Camera, S. Fusi, W. Senn, A. Rauch, H.-R. Lüscher.
When NMDA receptor conductances increase inter-spike interval variability. In: J.R. Dorronsoro (Ed):. Springer-Verlag Proceedings of ICANN 2002, LNCS 2415, pp. 235-240, 2002

J. Reutimann, S. Fusi, W. Senn, V. Yakovlev, E. Zohary.
A model of expectation effects in inferior temporal cortex. Neurocomputing 38-40:1533-1540, 2001

W. Senn, H. Markram, M. Tsodyks.
An algorithm for modifying neurotransmitter release probability based on pre- and post-synaptic spike timing. Neural Comput. 13(1):35-68, 2001

N.J. Buchs, W. Senn.
Learning direction selectivity through spike-timing dependent modification of neurotransmitter release probability. Neurocomputing 38-40:121-127, 2001

W. Senn, R. Urbanczik.
Similar non-leaky integrate-and-fire neurons with instantaneous couplings always synchronize. SIAM J Appl. Math 61(4):1143-1155, 2001

J. Tabak, W. Senn, M.J. O’Donovan, J. Rinzel.
Modeling of spontaneous activity in developing spinal cord using activity-dependent depression in an excitatory network. J. Neurosci. 20(8):3041-3056, 2000

W. Senn, R. Urbanczik.
Similar nonleaky integrate-and-fire neurons with instantaneous couplings always synchronize. SIAM J Appl. Math 61, No 4, 1143-1155, 2000

W. Senn.
Equilibrium forms of crystals and stable norm. J. Appl. Math. and Phys. 49:919-933, 1998 pdf

W. Senn, T. Wannier, J. Kleinle, H.-R. Lüscher, L. Müller, J. Streit, K. Wyler.
Pattern generation by two coupled time-discrete neural networks with synaptic depression. Neural Comput. 10:1251-1275, 1998

W. Senn.
Phase-locking in the multidimensional Frenkel-Kontorova model. Math Zeitschrift 227:623–643, 1998 pdf

W. Senn, I. Segev, M. Tsodyks.
Reading neuronal synchrony with depressing synapses. Neural Comput. 10:815-819, 1998

T. Wannier, W. Senn.
Recruitment of reticulospinal neurones and steady locomotion in lamprey. Neural Networks 11:1005-1015, 1998

W. Senn, K. Wyler, H.P. Clamann, J. Kleinle, H.-R. Lüscher, L. Müller.
Size principle and information theory. Biol. Cybern. 76:11-22, 1997

W. Senn, K. Wyler, J. Streit, M. Larkum, H.-R. Lüscher, H. Mey, L. Müller, D. Steinhauser, K. Vogt, T. Wannier.
Dynamics of a random neural network with synaptic depression. Neural Networks 9 No. 4:575-588, 1996

J. Kleinle, K. Vogt, H.-R. Lüscher, L. Müller, W. Senn, K. Wyler, J. Streit.
Transmitter concentration profiles in the synaptic cleft: an analytical model of release and diffusion. Biophys. J. 71:2413-2426, 1996

W. Eugster, W. Senn.
A cospectral correlation model for measurement of turbulent NO_2 flux. Boundary-Layer Meteorology 74:321-340, 1995 pdf

W. Senn.
Differentiability properties of the minimal average action. Calc. Var. 3:343-384, 1995 DOI pdf

Ch. Meier, W. Senn, R. Hauser, M. Zimmermann.
Strange limits of stability in host parasitoid systems. J. Math. Biol. 32:563-572, 1994 pdf

W. Senn.
Strikte Konvexität für Variationsprobleme auf dem n-dimensionalen Torus. manuscripta mathematica 71:45-65, 1991 DOI pdf

W. Senn.
Über Mosers regularisiertes Variationsproblem für minimale Blätterungen des n-dimensionalen Torus. J. Appl. Math. and Phys. 42: 527-546, 1991 DOI pdf