Walter Senn - Publications

Affiliations: 
University of Bern, Bern, Bern, Switzerland 
Area:
Computational neuroscience
Website:
http://www.cns.unibe.ch/~wsenn/#pub

74 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
2020 Marti Mengual U, Wybo WAM, Spierenburg LJE, Santello M, Senn W, Nevian T. Efficient low-pass dendro-somatic coupling in the apical dendrite of layer 5 pyramidal neurons in the anterior cingulate cortex. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. PMID 33046549 DOI: 10.1523/JNEUROSCI.3028-19.2020  0.64
2016 Brea J, Gaál AT, Urbanczik R, Senn W. Prospective Coding by Spiking Neurons. Plos Computational Biology. 12: e1005003. PMID 27341100 DOI: 10.1371/journal.pcbi.1005003  1
2016 Schiess M, Urbanczik R, Senn W. Somato-dendritic Synaptic Plasticity and Error-backpropagation in Active Dendrites. Plos Computational Biology. 12: e1004638. PMID 26841235 DOI: 10.1371/journal.pcbi.1004638  1
2015 Vladimirskiy B, Urbanczik R, Senn W. Hierarchical Novelty-Familiarity Representation in the Visual System by Modular Predictive Coding. Plos One. 10: e0144636. PMID 26670700 DOI: 10.1371/journal.pone.0144636  1
2015 Senn W, Sacramento J. Backward reasoning the formation rules. Nature Neuroscience. 18: 1705-1706. PMID 26605880 DOI: 10.1038/nn.4172  1
2015 Khajeh-Alijani A, Urbanczik R, Senn W. Scale-Free Navigational Planning by Neuronal Traveling Waves. Plos One. 10: e0127269. PMID 26158660 DOI: 10.1371/journal.pone.0127269  1
2015 Clarke AM, Friedrich J, Tartaglia EM, Marchesotti S, Senn W, Herzog MH. Human and machine learning in non-Markovian decision making. Plos One. 10: e0123105. PMID 25898139 DOI: 10.1371/journal.pone.0123105  1
2015 Senn W, Brea J. Neurons that Remember How We Got There. Neuron. 85: 664-6. PMID 25695266 DOI: 10.1016/j.neuron.2015.01.029  1
2014 Lüdge T, Urbanczik R, Senn W. Modulation of orientation-selective neurons by motion: when additive, when multiplicative? Frontiers in Computational Neuroscience. 8: 67. PMID 24999328 DOI: 10.3389/fncom.2014.00067  1
2014 Brea J, Urbanczik R, Senn W. A normative theory of forgetting: lessons from the fruit fly. Plos Computational Biology. 10: e1003640. PMID 24901935 DOI: 10.1371/journal.pcbi.1003640  1
2014 Friedrich J, Urbanczik R, Senn W. Code-specific learning rules improve action selection by populations of spiking neurons. International Journal of Neural Systems. 24: 1450002. PMID 24875790 DOI: 10.1142/S0129065714500026  1
2014 Blom SM, Pfister JP, Santello M, Senn W, Nevian T. Nerve injury-induced neuropathic pain causes disinhibition of the anterior cingulate cortex. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 34: 5754-64. PMID 24760836 DOI: 10.1523/JNEUROSCI.3667-13.2014  1
2014 Urbanczik R, Senn W. Learning by the dendritic prediction of somatic spiking. Neuron. 81: 521-8. PMID 24507189 DOI: 10.1016/j.neuron.2013.11.030  1
2013 Brea J, Senn W, Pfister JP. Matching recall and storage in sequence learning with spiking neural networks. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 33: 9565-75. PMID 23739954 DOI: 10.1523/JNEUROSCI.4098-12.2013  1
2012 Friedrich J, Senn W. Spike-based decision learning of Nash equilibria in two-player games. Plos Computational Biology. 8: e1002691. PMID 23028289 DOI: 10.1371/journal.pcbi.1002691  1
2012 Schiess M, Urbanczik R, Senn W. Gradient estimation in dendritic reinforcement learning. Journal of Mathematical Neuroscience. 2: 2. PMID 22657827 DOI: 10.1186/2190-8567-2-2  1
2011 Friedrich J, Urbanczik R, Senn W. Spatio-temporal credit assignment in neuronal population learning. Plos Computational Biology. 7: e1002092. PMID 21738460 DOI: 10.1371/journal.pcbi.1002092  1
2011 Brea J, Senn W, Pfister JP. Sequence learning with hidden units in spiking neural networks Advances in Neural Information Processing Systems 24: 25th Annual Conference On Neural Information Processing Systems 2011, Nips 2011 1
2010 Friedrich J, Urbanczik R, Senn W. Learning spike-based population codes by reward and population feedback. Neural Computation. 22: 1698-717. PMID 20235820 DOI: 10.1162/neco.2010.05-09-1010  1
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  1
2009 Schäfer R, Vasilaki E, Senn W. Adaptive gain modulation in V1 explains contextual modifications during bisection learning. Plos Computational Biology. 5: e1000617. PMID 20019808 DOI: 10.1371/journal.pcbi.1000617  1
2009 Vasilaki E, Frémaux N, Urbanczik R, Senn W, Gerstner W. Spike-based reinforcement learning in continuous state and action space: when policy gradient methods fail. Plos Computational Biology. 5: e1000586. PMID 19997492 DOI: 10.1371/journal.pcbi.1000586  1
2009 Urbanczik R, Senn W. A gradient learning rule for the tempotron. Neural Computation. 21: 340-52. PMID 19431262 DOI: 10.1162/neco.2008.09-07-605  1
2009 Vladimirskiy BB, Vasilaki E, Urbanczik R, Senn W. Stimulus sampling as an exploration mechanism for fast reinforcement learning. Biological Cybernetics. 100: 319-30. PMID 19360435 DOI: 10.1007/s00422-009-0305-x  1
2009 Urbanczik R, Senn W. Reinforcement learning in populations of spiking neurons. Nature Neuroscience. 12: 250-2. PMID 19219040 DOI: 10.1038/nn.2264  1
2009 Vasilaki E, Fusi S, Wang XJ, Senn W. Learning flexible sensori-motor mappings in a complex network. Biological Cybernetics. 100: 147-58. PMID 19153762 DOI: 10.1007/s00422-008-0288-z  1
2009 Murayama M, Pérez-Garci E, Nevian T, Bock T, Senn W, Larkum ME. Dendritic encoding of sensory stimuli controlled by deep cortical interneurons. Nature. 457: 1137-41. PMID 19151696 DOI: 10.1038/nature07663  1
2008 Giugliano M, La Camera G, Fusi S, Senn W. The response of cortical neurons to in vivo-like input current: theory and experiment: II. Time-varying and spatially distributed inputs. Biological Cybernetics. 99: 303-18. PMID 19011920 DOI: 10.1007/s00422-008-0270-9  1
2008 La Camera G, Giugliano M, Senn W, Fusi S. The response of cortical neurons to in vivo-like input current: theory and experiment : I. Noisy inputs with stationary statistics. Biological Cybernetics. 99: 279-301. PMID 18985378 DOI: 10.1007/s00422-008-0272-7  1
2008 Jolivet R, Roth A, Schürmann F, Gerstner W, Senn W. Special issue on quantitative neuron modeling. Biological Cybernetics. 99: 237-9. PMID 18985376 DOI: 10.1007/s00422-008-0274-5  1
2008 Kim Y, Vladimirskiy BB, Senn W. Modulating the granularity of category formation by global cortical States. Frontiers in Computational Neuroscience. 2: 1. PMID 18946531 DOI: 10.3389/neuro.10.001.2008  1
2008 Leibold C, Senn W. Special issue on object localization. Biological Cybernetics. 98: 447. PMID 18491158 DOI: 10.1007/s00422-008-0231-3  1
2008 Thurley K, Senn W, Lüscher HR. Dopamine increases the gain of the input-output response of rat prefrontal pyramidal neurons. Journal of Neurophysiology. 99: 2985-97. PMID 18400958 DOI: 10.1152/jn.01098.2007  1
2007 Brader JM, Senn W, Fusi S. Learning real-world stimuli in a neural network with spike-driven synaptic dynamics. Neural Computation. 19: 2881-912. PMID 17883345 DOI: 10.1162/neco.2007.19.11.2881  1
2007 Schäfer R, Vasilaki E, Senn W. Perceptual learning via modification of cortical top-down signals. Plos Computational Biology. 3: e165. PMID 17715996 DOI: 10.1371/journal.pcbi.0030165  1
2006 Nyffeler T, Wurtz P, Lüscher HR, Hess CW, Senn W, Pflugshaupt T, von Wartburg R, Lüthi M, Müri RM. Extending lifetime of plastic changes in the human brain. The European Journal of Neuroscience. 24: 2961-6. PMID 17156218 DOI: 10.1111/j.1460-9568.2006.05154.x  1
2006 Nyffeler T, Wurtz P, Lüscher HR, Hess CW, Senn W, Pflugshaupt T, von Wartburg R, Lüthi M, Müri RM. Repetitive TMS over the human oculomotor cortex: comparison of 1-Hz and theta burst stimulation. Neuroscience Letters. 409: 57-60. PMID 17049743 DOI: 10.1016/j.neulet.2006.09.011  1
2006 Fusi S, Senn W. Eluding oblivion with smart stochastic selection of synaptic updates. Chaos (Woodbury, N.Y.). 16: 026112. PMID 16822044 DOI: 10.1063/1.2213587  1
2006 La Camera G, Rauch A, Thurbon D, Lüscher HR, Senn W, Fusi S. Multiple time scales of temporal response in pyramidal and fast spiking cortical neurons. Journal of Neurophysiology. 96: 3448-64. PMID 16807345 DOI: 10.1152/jn.00453.2006  1
2005 Senn W, Fusi S. Learning only when necessary: better memories of correlated patterns in networks with bounded synapses. Neural Computation. 17: 2106-38. PMID 16105220 DOI: 10.1162/0899766054615644  1
2005 Senn W, Fusi S. Convergence of stochastic learning in perceptrons with binary synapses. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 71: 061907. PMID 16089765 DOI: 10.1103/PhysRevE.71.061907  1
2004 La Camera G, Rauch A, Lüscher HR, Senn W, Fusi S. Minimal models of adapted neuronal response to in vivo-like input currents. Neural Computation. 16: 2101-24. PMID 15333209 DOI: 10.1162/0899766041732468  1
2004 Larkum ME, Senn W, Lüscher HR. Top-down dendritic input increases the gain of layer 5 pyramidal neurons. Cerebral Cortex (New York, N.Y. : 1991). 14: 1059-70. PMID 15115747 DOI: 10.1093/cercor/bhh065  1
2004 Reutimann J, Yakovlev V, Fusi S, Senn W. Climbing neuronal activity as an event-based cortical representation of time. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 24: 3295-303. PMID 15056709 DOI: 10.1523/JNEUROSCI.4098-03.2004  1
2004 Senn W, Fusi S. Slow stochastic learning with global inhibition: A biological solution to the binary perceptron problem Neurocomputing. 58: 321-326. DOI: 10.1016/j.neucom.2004.01.062  1
2004 La Camera G, Senn W, Fusi S. Comparison between networks of conductance- and current-driven neurons: Stationary spike rates and subthreshold depolarization Neurocomputing. 58: 253-258. DOI: 10.1016/j.neucom.2004.01.052  1
2003 Berger T, Senn W, Lüscher HR. Hyperpolarization-activated current Ih disconnects somatic and dendritic spike initiation zones in layer V pyramidal neurons. Journal of Neurophysiology. 90: 2428-37. PMID 12801902 DOI: 10.1152/jn.00377.2003  1
2003 Rauch A, La Camera G, Luscher HR, Senn W, Fusi S. Neocortical pyramidal cells respond as integrate-and-fire neurons to in vivo-like input currents. Journal of Neurophysiology. 90: 1598-612. PMID 12750422 DOI: 10.1152/jn.00293.2003  1
2003 Senn W, Buchs NJ. Spike-based synaptic plasticity and the emergence of direction selective simple cells: mathematical analysis. Journal of Computational Neuroscience. 14: 119-38. PMID 12567013 DOI: 10.1023/A:1021935100586  1
2002 Senn W. Beyond spike timing: the role of nonlinear plasticity and unreliable synapses. Biological Cybernetics. 87: 344-55. PMID 12461625 DOI: 10.1007/s00422-002-0350-1  1
2002 van Hemmen JL, Senn W. Hebb in perspective. Biological Cybernetics. 87: 317-8. PMID 12461622 DOI: 10.1007/s00422-002-0348-8  1
2002 Carandini M, Heeger DJ, Senn W. A synaptic explanation of suppression in visual cortex. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 22: 10053-65. PMID 12427863  1
2002 Buchs NJ, Senn W. Spike-based synaptic plasticity and the emergence of direction selective simple cells: simulation results. Journal of Computational Neuroscience. 13: 167-86. PMID 12226559 DOI: 10.1023/A:1020210230751  1
2002 Senn W, Schneider M, Ruf B. Activity-dependent development of axonal and dendritic delays, or, why synaptic transmission should be unreliable. Neural Computation. 14: 583-619. PMID 11860684 DOI: 10.1162/089976602317250915  1
2002 La Camera G, Fusi S, Senn W, Rauch A, Lüscher HR. When NMDA receptor conductances increase inter-spike interval variability Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2415: 235-240.  1
2002 La Camera G, Rauch A, Senn W, Lüscher HR, Fusi S. Firing rate adaptation without losing sensitivity to input fluctuations Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2415: 180-185.  1
2001 Senn W, Markram H, Tsodyks M. An algorithm for modifying neurotransmitter release probability based on pre- and postsynaptic spike timing. Neural Computation. 13: 35-67. PMID 11177427 DOI: 10.1162/089976601300014628  1
2001 Reutimann J, Fusi S, Senn W, Yakovlev V, Zohary E. A model of expectation effects in inferior temporal cortex Neurocomputing. 38: 1533-1540. DOI: 10.1016/S0925-2312(01)00551-3  1
2001 Buchs NJ, Senn W. Learning direction selectivity through spike-timing dependent modification of neurotransmitter release probability Neurocomputing. 38: 121-127. DOI: 10.1016/S0925-2312(01)00547-1  1
2000 Tabak J, Senn W, O'Donovan MJ, Rinzel J. Modeling of spontaneous activity in developing spinal cord using activity-dependent depression in an excitatory network. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 20: 3041-56. PMID 10751456  1
2000 Senn W, Urbanczik R. Similar nonleaky integrate-and-fire neurons with instantaneous couplings always synchronize Siam Journal On Applied Mathematics. 61: 1143-1155.  1
1999 Tabak J, Senn W, O'Donovan MJ, Rinzel J. Comparison of two models for pattern generation based on synaptic depression Neurocomputing. 26: 551-556. DOI: 10.1016/S0925-2312(99)00032-6  1
1998 Wannier T, Senn W. Recruitment of reticulospinal neurones and steady locomotion in lamprey. Neural Networks : the Official Journal of the International Neural Network Society. 11: 1005-1015. PMID 12662770 DOI: 10.1016/S0893-6080(98)00076-8  1
1998 Senn W, Wannier T, Kleinle J, Lüscher HR, Müller L, Streit J, Wyler K. Pattern generation by two coupled time-discrete neural networks with synaptic depression. Neural Computation. 10: 1251-75. PMID 9654770  1
1998 Senn W, Segev I, Tsodyks M. Reading neuronal synchrony with depressing synapses. Neural Computation. 10: 815-9. PMID 9573406  1
1998 Senn WM. Equilibrium form of crystals and stable norm Zeitschrift Fur Angewandte Mathematik Und Physik. 49: 919-933.  1
1998 Senn WM. Phase-locking in the multidimensional Frenkel-Kontorova model Mathematische Zeitschrift. 227: 623-643.  1
1997 Senn W, Wyler K, Clamann HP, Kleinle J, Lüscher HR, Müller L. Size principle and information theory. Biological Cybernetics. 76: 11-22. PMID 9050202  1
1997 Senn W, Tsodyks M, Markram H. An algorithm for synaptic modification based on exact timing of pre- and post-synaptic action potentials Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 1327: 122-126.  1
1996 Kleinle J, Vogt K, Lüscher HR, Müller L, Senn W, Wyler K, Streit J. Transmitter concentration profiles in the synaptic cleft: an analytical model of release and diffusion. Biophysical Journal. 71: 2413-26. PMID 8913582 DOI: 10.1016/S0006-3495(96)79435-3  1
1996 Senn W, Wyler K, Streit J, Larkum M, Lüscher HR, Mey H, Müller L, Stainhauser D, Vogt K, Wannier T. Dynamics of a random neural network with synaptic depression Neural Networks. 9: 575-588. DOI: 10.1016/0893-6080(95)00109-3  1
1995 Senn WM. Differentiability properties of the minimal average action Calculus of Variations and Partial Differential Equations. 3: 343-384. DOI: 10.1007/BF01189396  1
1991 Senn W. Strikte Konvexität für Variationsprobleme auf dem n-dimensionalen Torus Manuscripta Mathematica. 71: 45-65. DOI: 10.1007/BF02568393  1
1991 Senn W. Über Mosers regularisiertes Variationsproblem für minimale Blätterungen des n-dimensionalen Torus Zamp Zeitschrift FüR Angewandte Mathematik Und Physik. 42: 527-546. DOI: 10.1007/BF00946175  1
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