cached image

Wulfram Gerstner - Publications

Affiliations: 
Swiss Federal Institute of Technology, Zürich, Zürich, Switzerland 
Area:
Computation & Theory
Website:
http://diwww.epfl.ch/~gerstner/index.html

186 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
2022 Liakoni V, Lehmann MP, Modirshanechi A, Brea J, Lutti A, Gerstner W, Preuschoff K. Brain signals of a Surprise-Actor-Critic model: Evidence for multiple learning modules in human decision making. Neuroimage. 246: 118780. PMID 34875383 DOI: 10.1016/j.neuroimage.2021.118780  0.71
2021 Gastaldi C, Schwalger T, De Falco E, Quiroga RQ, Gerstner W. When shared concept cells support associations: Theory of overlapping memory engrams. Plos Computational Biology. 17: e1009691. PMID 34968383 DOI: 10.1371/journal.pcbi.1009691  0.742
2021 Xu HA, Modirshanechi A, Lehmann MP, Gerstner W, Herzog MH. Novelty is not surprise: Human exploratory and adaptive behavior in sequential decision-making. Plos Computational Biology. 17: e1009070. PMID 34081705 DOI: 10.1371/journal.pcbi.1009070  0.454
2020 Meissner-Bernard C, Tsai MC, Logiaco L, Gerstner W. Dendritic Voltage Recordings Explain Paradoxical Synaptic Plasticity: A Modeling Study. Frontiers in Synaptic Neuroscience. 12: 585539. PMID 33224033 DOI: 10.3389/fnsyn.2020.585539  0.805
2020 Surace SC, Pfister JP, Gerstner W, Brea J. On the choice of metric in gradient-based theories of brain function. Plos Computational Biology. 16: e1007640. PMID 32271761 DOI: 10.1371/Journal.Pcbi.1007640  0.551
2020 Schmutz V, Gerstner W, Schwalger T. Mesoscopic population equations for spiking neural networks with synaptic short-term plasticity. Journal of Mathematical Neuroscience. 10: 5. PMID 32253526 DOI: 10.1186/S13408-020-00082-Z  0.783
2019 Gastaldi C, Muscinelli S, Gerstner W. Optimal Stimulation Protocol in a Bistable Synaptic Consolidation Model. Frontiers in Computational Neuroscience. 13: 78. PMID 31798436 DOI: 10.3389/fncom.2019.00078  0.374
2019 Lehmann MP, Xu HA, Liakoni V, Herzog MH, Gerstner W, Preuschoff K. One-shot learning and behavioral eligibility traces in sequential decision making. Elife. 8. PMID 31709980 DOI: 10.7554/Elife.47463  0.754
2019 Illing B, Gerstner W, Brea J. Biologically plausible deep learning - But how far can we go with shallow networks? Neural Networks : the Official Journal of the International Neural Network Society. 118: 90-101. PMID 31254771 DOI: 10.1016/j.neunet.2019.06.001  0.406
2019 Muscinelli SP, Gerstner W, Schwalger T. How single neuron properties shape chaotic dynamics and signal transmission in random neural networks. Plos Computational Biology. 15: e1007122. PMID 31181063 DOI: 10.1371/Journal.Pcbi.1007122  0.779
2019 Seeholzer A, Deger M, Gerstner W. Stability of working memory in continuous attractor networks under the control of short-term plasticity. Plos Computational Biology. 15: e1006928. PMID 31002672 DOI: 10.1371/Journal.Pcbi.1006928  0.796
2018 Gerstner W, Lehmann M, Liakoni V, Corneil D, Brea J. Eligibility Traces and Plasticity on Behavioral Time Scales: Experimental Support of NeoHebbian Three-Factor Learning Rules. Frontiers in Neural Circuits. 12: 53. PMID 30108488 DOI: 10.3389/fncir.2018.00053  0.427
2018 Martinolli M, Gerstner W, Gilra A. Multi-Timescale Memory Dynamics Extend Task Repertoire in a Reinforcement Learning Network With Attention-Gated Memory. Frontiers in Computational Neuroscience. 12: 50. PMID 30061819 DOI: 10.3389/Fncom.2018.00050  0.799
2018 Setareh H, Deger M, Gerstner W. Excitable neuronal assemblies with adaptation as a building block of brain circuits for velocity-controlled signal propagation. Plos Computational Biology. 14: e1006216. PMID 29979674 DOI: 10.1371/journal.pcbi.1006216  0.449
2017 Deger M, Seeholzer A, Gerstner W. Multicontact Co-operativity in Spike-Timing-Dependent Structural Plasticity Stabilizes Networks. Cerebral Cortex (New York, N.Y. : 1991). PMID 29300903 DOI: 10.1093/Cercor/Bhx339  0.827
2017 Gilra A, Gerstner W. Predicting non-linear dynamics by stable local learning in a recurrent spiking neural network. Elife. 6. PMID 29173280 DOI: 10.7554/Elife.28295  0.82
2017 Faraji M, Preuschoff K, Gerstner W. Balancing New against Old Information: The Role of Puzzlement Surprise in Learning. Neural Computation. 1-50. PMID 29064784 DOI: 10.1162/Neco_A_01025  0.712
2017 Setareh H, Deger M, Petersen CCH, Gerstner W. Cortical Dynamics in Presence of Assemblies of Densely Connected Weight-Hub Neurons. Frontiers in Computational Neuroscience. 11: 52. PMID 28690508 DOI: 10.3389/Fncom.2017.00052  0.471
2017 Zenke F, Gerstner W, Ganguli S. The temporal paradox of Hebbian learning and homeostatic plasticity. Current Opinion in Neurobiology. 43: 166-176. PMID 28431369 DOI: 10.1016/J.Conb.2017.03.015  0.834
2017 Schwalger T, Deger M, Gerstner W. Towards a theory of cortical columns: From spiking neurons to interacting neural populations of finite size. Plos Computational Biology. 13: e1005507. PMID 28422957 DOI: 10.1371/Journal.Pcbi.1005507  0.772
2017 Zenke F, Gerstner W. Hebbian plasticity requires compensatory processes on multiple timescales. Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences. 372. PMID 28093557 DOI: 10.1098/Rstb.2016.0259  0.817
2017 Keck T, Toyoizumi T, Chen L, Doiron B, Feldman DE, Fox K, Gerstner W, Haydon PG, Hübener M, Lee HK, Lisman JE, Rose T, Sengpiel F, Stellwagen D, Stryker MP, et al. Integrating Hebbian and homeostatic plasticity: the current state of the field and future research directions. Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences. 372. PMID 28093552 DOI: 10.1098/Rstb.2016.0158  0.785
2016 Brito CS, Gerstner W. Nonlinear Hebbian Learning as a Unifying Principle in Receptive Field Formation. Plos Computational Biology. 12: e1005070. PMID 27690349 DOI: 10.1371/journal.pcbi.1005070  0.771
2016 Sharpee TO, Destexhe A, Kawato M, Sekulić V, Skinner FK, Wójcik DK, Chintaluri C, Cserpán D, Somogyvári Z, Kim JK, Kilpatrick ZP, Bennett MR, Josić K, Elices I, Arroyo D, ... ... Gerstner W, et al. 25th Annual Computational Neuroscience Meeting: CNS-2016 Bmc Neuroscience. 17: 54. PMID 27534393 DOI: 10.1186/S12868-016-0283-6  0.688
2016 Kastner DB, Schwalger T, Ziegler L, Gerstner W. A Model of Synaptic Reconsolidation. Frontiers in Neuroscience. 10: 206. PMID 27242410 DOI: 10.3389/Fnins.2016.00206  0.808
2016 Mensi S, Hagens O, Gerstner W, Pozzorini C. Enhanced Sensitivity to Rapid Input Fluctuations by Nonlinear Threshold Dynamics in Neocortical Pyramidal Neurons. Plos Computational Biology. 12: e1004761. PMID 26907675 DOI: 10.1371/journal.pcbi.1004761  0.481
2016 Brea J, Gerstner W. Does computational neuroscience need new synaptic learning paradigms? Current Opinion in Behavioral Sciences. 11: 61-66. DOI: 10.1016/j.cobeha.2016.05.012  0.414
2015 Frémaux N, Gerstner W. Neuromodulated Spike-Timing-Dependent Plasticity, and Theory of Three-Factor Learning Rules. Frontiers in Neural Circuits. 9: 85. PMID 26834568 DOI: 10.3389/fncir.2015.00085  0.42
2015 Pozzorini C, Mensi S, Hagens O, Naud R, Koch C, Gerstner W. Automated High-Throughput Characterization of Single Neurons by Means of Simplified Spiking Models. Plos Computational Biology. 11: e1004275. PMID 26083597 DOI: 10.1371/journal.pcbi.1004275  0.833
2015 Zenke F, Agnes EJ, Gerstner W. Diverse synaptic plasticity mechanisms orchestrated to form and retrieve memories in spiking neural networks. Nature Communications. 6: 6922. PMID 25897632 DOI: 10.1038/Ncomms7922  0.812
2015 Ziegler L, Zenke F, Kastner DB, Gerstner W. Synaptic consolidation: from synapses to behavioral modeling. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 35: 1319-34. PMID 25609644 DOI: 10.1523/Jneurosci.3989-14.2015  0.806
2015 Schwalger T, Deger M, Gerstner W. Bridging spiking neuron models and mesoscopic population models - a general theory for neural population dynamics Bmc Neuroscience. 16. DOI: 10.1186/1471-2202-16-S1-P79  0.777
2015 Muscinelli SP, Gerstner W. A hierarchy of time scales supports unsupervised learning of behavioral sequences Bmc Neuroscience. 16. DOI: 10.1186/1471-2202-16-S1-P78  0.395
2015 Faraji MJ, Preuschoff K, Gerstner W. Surprise minimization as a learning strategy in neural networks Bmc Neuroscience. 16. DOI: 10.1186/1471-2202-16-S1-P77  0.723
2014 Deger M, Schwalger T, Naud R, Gerstner W. Fluctuations and information filtering in coupled populations of spiking neurons with adaptation. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 90: 062704. PMID 25615126 DOI: 10.1103/Physreve.90.062704  0.81
2014 Zenke F, Gerstner W. Limits to high-speed simulations of spiking neural networks using general-purpose computers. Frontiers in Neuroinformatics. 8: 76. PMID 25309418 DOI: 10.3389/Fninf.2014.00076  0.819
2014 Naud R, Bathellier B, Gerstner W. Spike-timing prediction in cortical neurons with active dendrites. Frontiers in Computational Neuroscience. 8: 90. PMID 25165443 DOI: 10.3389/fncom.2014.00090  0.828
2014 Hennequin G, Vogels TP, Gerstner W. Optimal control of transient dynamics in balanced networks supports generation of complex movements. Neuron. 82: 1394-406. PMID 24945778 DOI: 10.1016/J.Neuron.2014.04.045  0.806
2014 Tomm C, Avermann M, Petersen C, Gerstner W, Vogels TP. Connection-type-specific biases make uniform random network models consistent with cortical recordings. Journal of Neurophysiology. 112: 1801-14. PMID 24944218 DOI: 10.1152/Jn.00629.2013  0.834
2014 Jimenez Rezende D, Gerstner W. Stochastic variational learning in recurrent spiking networks. Frontiers in Computational Neuroscience. 8: 38. PMID 24772078 DOI: 10.3389/fncom.2014.00038  0.45
2014 Faraji MJ, Preuschoff K, Gerstner W. Neuromodulation by surprise: a biologically plausible model of the learning rate dynamics Bmc Neuroscience. 15. DOI: 10.1186/1471-2202-15-S1-P159  0.358
2014 Setareh H, Deger M, Gerstner W. The role of interconnected hub neurons in cortical dynamics Bmc Neuroscience. 15. DOI: 10.1186/1471-2202-15-S1-P158  0.497
2014 Seeholzer A, Deger M, Gerstner W. Stabilizing working memory in spiking networks with biologically plausible synaptic dynamics Bmc Neuroscience. 15. DOI: 10.1186/1471-2202-15-S1-P157  0.835
2014 Gerstner W, Kistler WM, Naud R, Paninski L. Neuronal dynamics: From single neurons to networks and models of cognition Neuronal Dynamics: From Single Neurons to Networks and Models of Cognition. 1-577. DOI: 10.1017/CBO9781107447615  0.811
2013 Lütcke H, Gerhard F, Zenke F, Gerstner W, Helmchen F. Inference of neuronal network spike dynamics and topology from calcium imaging data. Frontiers in Neural Circuits. 7: 201. PMID 24399936 DOI: 10.3389/Fncir.2013.00201  0.819
2013 Zenke F, Hennequin G, Gerstner W. Synaptic plasticity in neural networks needs homeostasis with a fast rate detector. Plos Computational Biology. 9: e1003330. PMID 24244138 DOI: 10.1371/Journal.Pcbi.1003330  0.813
2013 Friedmann S, Frémaux N, Schemmel J, Gerstner W, Meier K. Reward-based learning under hardware constraints-using a RISC processor embedded in a neuromorphic substrate. Frontiers in Neuroscience. 7: 160. PMID 24065877 DOI: 10.3389/Fnins.2013.00160  0.759
2013 Pozzorini C, Naud R, Mensi S, Gerstner W. Temporal whitening by power-law adaptation in neocortical neurons. Nature Neuroscience. 16: 942-8. PMID 23749146 DOI: 10.1038/nn.3431  0.816
2013 Frémaux N, Sprekeler H, Gerstner W. Reinforcement learning using a continuous time actor-critic framework with spiking neurons. Plos Computational Biology. 9: e1003024. PMID 23592970 DOI: 10.1371/journal.pcbi.1003024  0.826
2013 Pawlak V, Greenberg DS, Sprekeler H, Gerstner W, Kerr JN. Changing the responses of cortical neurons from sub- to suprathreshold using single spikes in vivo. Elife. 2: e00012. PMID 23359858 DOI: 10.7554/Elife.00012  0.829
2013 Rüter J, Sprekeler H, Gerstner W, Herzog MH. The silent period of evidence integration in fast decision making. Plos One. 8: e46525. PMID 23349660 DOI: 10.1371/journal.pone.0046525  0.772
2013 Hugues E, de Brito CSN, Gerstner W, Romo R, Deco G. A model of perceptual discrimination under sequential sensory evidence Bmc Neuroscience. 14. DOI: 10.1186/1471-2202-14-S1-P102  0.471
2013 Logiaco L, Quilodran R, Gerstner W, Procyk E, Arleo A. Modulation of a decision-making process by spatiotemporal spike patterns decoding: evidence from spike-train metrics analysis and spiking neural network modeling Bmc Neuroscience. 14. DOI: 10.1186/1471-2202-14-S1-P10  0.815
2012 Naud R, Gerstner W. Coding and decoding with adapting neurons: a population approach to the peri-stimulus time histogram. Plos Computational Biology. 8: e1002711. PMID 23055914 DOI: 10.1371/journal.pcbi.1002711  0.831
2012 Gerstner W, Sprekeler H, Deco G. Theory and simulation in neuroscience. Science (New York, N.Y.). 338: 60-5. PMID 23042882 DOI: 10.1126/Science.1227356  0.791
2012 Hennequin G, Vogels TP, Gerstner W. Non-normal amplification in random balanced neuronal networks. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 86: 011909. PMID 23005454 DOI: 10.1103/Physreve.86.011909  0.822
2012 Markram H, Gerstner W, Sjöström PJ. Spike-timing-dependent plasticity: a comprehensive overview. Frontiers in Synaptic Neuroscience. 4: 2. PMID 22807913 DOI: 10.3389/fnsyn.2012.00002  0.329
2012 Avermann M, Tomm C, Mateo C, Gerstner W, Petersen CC. Microcircuits of excitatory and inhibitory neurons in layer 2/3 of mouse barrel cortex. Journal of Neurophysiology. 107: 3116-34. PMID 22402650 DOI: 10.1152/Jn.00917.2011  0.836
2012 Rüter J, Marcille N, Sprekeler H, Gerstner W, Herzog MH. Paradoxical evidence integration in rapid decision processes. Plos Computational Biology. 8: e1002382. PMID 22359494 DOI: 10.1371/Journal.Pcbi.1002382  0.77
2012 Mensi S, Naud R, Pozzorini C, Avermann M, Petersen CC, Gerstner W. Parameter extraction and classification of three cortical neuron types reveals two distinct adaptation mechanisms. Journal of Neurophysiology. 107: 1756-75. PMID 22157113 DOI: 10.1152/Jn.00408.2011  0.829
2012 Herzog MH, Aberg KC, Frémaux N, Gerstner W, Sprekeler H. Perceptual learning, roving and the unsupervised bias. Vision Research. 61: 95-9. PMID 22119774 DOI: 10.1068/V110194  0.792
2012 Pawlak V, Greenberg DS, Sprekeler H, Gerstner W, Kerr JN. Author response: Changing the responses of cortical neurons from sub- to suprathreshold using single spikes in vivo Elife. DOI: 10.7554/Elife.00012.012  0.806
2012 Naud R, Gerstner W. The performance (and limits) of simple neuron models: Generalizations of the leaky integrate-and-fire model Computational Systems Neurobiology. 163-192. DOI: 10.1007/978-94-007-3858-4_6  0.812
2011 Vogels TP, Sprekeler H, Zenke F, Clopath C, Gerstner W. Inhibitory plasticity balances excitation and inhibition in sensory pathways and memory networks. Science (New York, N.Y.). 334: 1569-73. PMID 22075724 DOI: 10.1126/Science.1211095  0.811
2011 Markram H, Gerstner W, Sjöström PJ. A history of spike-timing-dependent plasticity. Frontiers in Synaptic Neuroscience. 3: 4. PMID 22007168 DOI: 10.3389/fnsyn.2011.00004  0.445
2011 Naud R, Gerhard F, Mensi S, Gerstner W. Improved similarity measures for small sets of spike trains. Neural Computation. 23: 3016-69. PMID 21919785 DOI: 10.3389/Conf.Fncom.2010.51.00102  0.805
2011 Gerhard F, Pipa G, Lima B, Neuenschwander S, Gerstner W. Extraction of Network Topology From Multi-Electrode Recordings: Is there a Small-World Effect? Frontiers in Computational Neuroscience. 5: 4. PMID 21344015 DOI: 10.3389/Fncom.2011.00004  0.728
2011 Tomm C, Avermann M, Vogels T, Gerstner W, Petersen C. The influence of structure on the response properties of biologically plausible neural network models Bmc Neuroscience. 12. DOI: 10.1186/1471-2202-12-S1-P30  0.829
2011 Brito CS, Gerstner W. General conditions for spiking neurons and plasticity rules to perform independent component analysis Bmc Neuroscience. 12. DOI: 10.1186/1471-2202-12-S1-P124  0.795
2011 Gerhard F, Gerstner W. Efficient modeling of neural activity using coupled renewal processes Bmc Neuroscience. 12. DOI: 10.1186/1471-2202-12-S1-P123  0.732
2011 Ziegler L, Gerstner W. Synaptic tagging and capture: a bridge from molecular to behaviour Bmc Neuroscience. 12. DOI: 10.1186/1471-2202-12-S1-P122  0.39
2011 Hennequin G, Vogels T, Gerstner W. Fast and richly structured activity in cortical networks with local inhibition Bmc Neuroscience. 12. DOI: 10.1186/1471-2202-12-S1-P121  0.824
2011 Zenke F, Hennequin G, Sprekeler H, Vogels TP, Gerstner W. Plasticity and stability in recurrent neural networks Bmc Neuroscience. 12. DOI: 10.1186/1471-2202-12-S1-P120  0.817
2011 Mensi S, Naud R, Pozzorini C, Avermann M, Petersen CC, Gerstner W. Automatic characterization of three cortical neuron types reveals two distinct adaptation mechanisms Bmc Neuroscience. 12. DOI: 10.1186/1471-2202-12-S1-P119  0.829
2010 Gerstner W. From hebb rules to spike-timing-dependent plasticity: a personal account. Frontiers in Synaptic Neuroscience. 2: 151. PMID 21423537 DOI: 10.3389/fnsyn.2010.00151  0.488
2010 Clopath C, Gerstner W. Voltage and Spike Timing Interact in STDP - A Unified Model. Frontiers in Synaptic Neuroscience. 2: 25. PMID 21423511 DOI: 10.3389/fnsyn.2010.00025  0.794
2010 Hennequin G, Gerstner W, Pfister JP. STDP in Adaptive Neurons Gives Close-To-Optimal Information Transmission. Frontiers in Computational Neuroscience. 4: 143. PMID 21160559 DOI: 10.3389/Fncom.2010.00143  0.832
2010 Frémaux N, Sprekeler H, Gerstner W. Functional requirements for reward-modulated spike-timing-dependent plasticity. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 30: 13326-37. PMID 20926659 DOI: 10.1523/JNEUROSCI.6249-09.2010  0.806
2010 Clopath C, Büsing L, Vasilaki E, Gerstner W. Connectivity reflects coding: a model of voltage-based STDP with homeostasis. Nature Neuroscience. 13: 344-52. PMID 20098420 DOI: 10.1038/nn.2479  0.825
2010 Sjöström J, Gerstner W. Spike-timing dependent plasticity Scholarpedia. 5: 1362. DOI: 10.4249/scholarpedia.1362  0.447
2010 Gerstner W. Spiking Neuron Models Encyclopedia of Neuroscience. 277-280. DOI: 10.1016/B978-008045046-9.01405-4  0.344
2010 Gerhard F, Gerstner W. Rescaling, thinning or complementing? on goodness-of-fit procedures for point process models and Generalized Linear Models Advances in Neural Information Processing Systems 23: 24th Annual Conference On Neural Information Processing Systems 2010, Nips 2010 0.615
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  0.804
2009 Gerstner W, Naud R. Neuroscience. How good are neuron models? Science (New York, N.Y.). 326: 379-80. PMID 19833951 DOI: 10.1126/science.1181936  0.826
2009 Luksys G, Gerstner W, Sandi C. Stress, genotype and norepinephrine in the prediction of mouse behavior using reinforcement learning. Nature Neuroscience. 12: 1180-6. PMID 19684590 DOI: 10.1038/Nn.2374  0.301
2009 Sheynikhovich D, Chavarriaga R, Strösslin T, Arleo A, Gerstner W. Is there a geometric module for spatial orientation? Insights from a rodent navigation model. Psychological Review. 116: 540-66. PMID 19618986 DOI: 10.1037/A0016170  0.795
2009 Gerstner W, Brette R. Adaptive exponential integrate-and-fire model Scholarpedia. 4: 8427. DOI: 10.4249/Scholarpedia.8427  0.301
2009 Naud R, Berger T, Bathellier B, Carandini M, Gerstner W. Quantitative Single-Neuron Modeling: Competition 2009 Frontiers in Neuroinformatics. 3. DOI: 10.3389/conf.neuro.11.2009.08.106  0.818
2009 Vasilaki E, Frémaux N, Urbanczik R, Senn W, Gerstner W. Correction: Spike-Based Reinforcement Learning in Continuous State and Action Space: When Policy Gradient Methods Fail Plos Computational Biology. 5. DOI: 10.1371/annotation/307ea250-3792-4ceb-b905-162d86c96baf  0.722
2009 Naud R, Bathellier B, Gerstner W. Spike-timing prediction in a neuron model with active dendrites Bmc Neuroscience. 10. DOI: 10.1186/1471-2202-10-S1-P29  0.827
2009 Clopath C, Ziegler L, Buesing L, Vasilaki E, Gerstner W. Modeling plasticity across different time scales: the TagTriC model Bmc Neuroscience. 10: P192. DOI: 10.1186/1471-2202-10-S1-P192  0.812
2009 Clopath C, Büsing L, Vasilaki E, Gerstner W. Connectivity reflects coding: A model of voltage-based spike-timing-dependent-plasticity with homeostasis Nature Precedings. DOI: 10.1038/Npre.2009.3362.1  0.823
2009 Sprekeler H, Hennequin G, Gerstner W. Code-specific policy gradient rules for spiking neurons Advances in Neural Information Processing Systems 22 - Proceedings of the 2009 Conference. 1741-1749.  0.795
2009 Clopath C, Longtin A, Gerstner W. An online Hebbian learning rule that performs independent component analysis Advances in Neural Information Processing Systems 20 - Proceedings of the 2007 Conference 0.773
2008 Clopath C, Ziegler L, Vasilaki E, Büsing L, Gerstner W. Tag-trigger-consolidation: a model of early and late long-term-potentiation and depression. Plos Computational Biology. 4: e1000248. PMID 19112486 DOI: 10.1371/journal.pcbi.1000248  0.805
2008 Jolivet R, Schürmann F, Berger TK, Naud R, Gerstner W, Roth A. The quantitative single-neuron modeling competition. Biological Cybernetics. 99: 417-26. PMID 19011928 DOI: 10.1007/S00422-008-0261-X  0.831
2008 Badel L, Lefort S, Berger TK, Petersen CC, Gerstner W, Richardson MJ. Extracting non-linear integrate-and-fire models from experimental data using dynamic I-V curves. Biological Cybernetics. 99: 361-70. PMID 19011924 DOI: 10.1007/S00422-008-0259-4  0.615
2008 Naud R, Marcille N, Clopath C, Gerstner W. Firing patterns in the adaptive exponential integrate-and-fire model. Biological Cybernetics. 99: 335-47. PMID 19011922 DOI: 10.1007/S00422-008-0264-7  0.827
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  0.811
2008 Badel L, Gerstner W, Richardson MJ. Spike-triggered averages for passive and resonant neurons receiving filtered excitatory and inhibitory synaptic drive. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 78: 011914. PMID 18763989 DOI: 10.1103/PhysRevE.78.011914  0.596
2008 Bathellier B, Carleton A, Gerstner W. Gamma oscillations in a nonlinear regime: a minimal model approach using heterogeneous integrate-and-fire networks. Neural Computation. 20: 2973-3002. PMID 18533817 DOI: 10.1162/neco.2008.11-07-636  0.782
2008 Morrison A, Diesmann M, Gerstner W. Phenomenological models of synaptic plasticity based on spike timing. Biological Cybernetics. 98: 459-78. PMID 18491160 DOI: 10.1007/S00422-008-0233-1  0.485
2008 Hermens F, Luksys G, Gerstner W, Herzog MH, Ernst U. Modeling spatial and temporal aspects of visual backward masking. Psychological Review. 115: 83-100. PMID 18211186 DOI: 10.1037/0033-295X.115.1.83  0.502
2008 Jolivet R, Kobayashi R, Rauch A, Naud R, Shinomoto S, Gerstner W. A benchmark test for a quantitative assessment of simple neuron models. Journal of Neuroscience Methods. 169: 417-24. PMID 18160135 DOI: 10.1016/J.Jneumeth.2007.11.006  0.819
2008 Badel L, Lefort S, Brette R, Petersen CC, Gerstner W, Richardson MJ. Dynamic I-V curves are reliable predictors of naturalistic pyramidal-neuron voltage traces. Journal of Neurophysiology. 99: 656-66. PMID 18057107 DOI: 10.1152/Jn.01107.2007  0.59
2008 Gerstner W. Spike-response model Scholarpedia. 3: 1343. DOI: 10.4249/scholarpedia.1343  0.356
2008 Vasilaki E, Urbanczik R, Senn W, Gerstner W. Spike-based reinforcement learning of navigation Bmc Neuroscience. 9. DOI: 10.1186/1471-2202-9-S1-P72  0.752
2007 Herzog MH, Esfeld M, Gerstner W. Consciousness & the small network argument. Neural Networks : the Official Journal of the International Neural Network Society. 20: 1054-6. PMID 17900860 DOI: 10.1016/j.neunet.2007.09.001  0.507
2007 Toyoizumi T, Pfister JP, Aihara K, Gerstner W. Optimality model of unsupervised spike-timing-dependent plasticity: synaptic memory and weight distribution. Neural Computation. 19: 639-71. PMID 17298228 DOI: 10.1162/Neco.2007.19.3.639  0.831
2007 Marcille N, Clopath C, Ranjan R, Druckmann S, Schuermann F, Markram H, Gerstner W. Predicting neuronal activity with an adaptive exponential integrate-and-fire model Bmc Neuroscience. 8: P121. DOI: 10.1186/1471-2202-8-S2-P121  0.825
2007 Clopath C, Jolivet R, Rauch A, Lüscher HR, Gerstner W. Predicting neuronal activity with simple models of the threshold type: Adaptive Exponential Integrate-and-Fire model with two compartments Neurocomputing. 70: 1668-1673. DOI: 10.1016/J.Neucom.2006.10.047  0.825
2007 Lukšys G, Knüsel J, Sheynikhovich D, Sandi C, Gerstner W. Effects of stress and genotype on meta-parameter dynamics in reinforcement learning Advances in Neural Information Processing Systems. 937-944.  0.771
2006 Pfister JP, Gerstner W. Triplets of spikes in a model of spike timing-dependent plasticity. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 26: 9673-82. PMID 16988038 DOI: 10.1523/Jneurosci.1425-06.2006  0.653
2006 Richardson MJ, Gerstner W. Statistics of subthreshold neuronal voltage fluctuations due to conductance-based synaptic shot noise. Chaos (Woodbury, N.Y.). 16: 026106. PMID 16822038 DOI: 10.1063/1.2203409  0.544
2006 Aviel Y, Gerstner W. From spiking neurons to rate models: a cascade model as an approximation to spiking neuron models with refractoriness. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 73: 051908. PMID 16802968 DOI: 10.1103/PhysRevE.73.051908  0.464
2006 Pfister JP, Toyoizumi T, Barber D, Gerstner W. Optimal spike-timing-dependent plasticity for precise action potential firing in supervised learning. Neural Computation. 18: 1318-48. PMID 16764506 DOI: 10.1162/Neco.2006.18.6.1318  0.823
2006 Jolivet R, Rauch A, Lüscher HR, Gerstner W. Predicting spike timing of neocortical pyramidal neurons by simple threshold models. Journal of Computational Neuroscience. 21: 35-49. PMID 16633938 DOI: 10.1007/S10827-006-7074-5  0.767
2006 Sheynikhovich D, Chavarriaga R, Strösslin T, Gerstner W. Adaptive sensory processing for efficient place coding Neurocomputing. 69: 1211-1214. DOI: 10.1016/J.Neucom.2005.12.078  0.8
2006 Badel L, Gerstner W, Richardson MJE. Dependence of the spike-triggered average voltage on membrane response properties Neurocomputing. 69: 1062-1065. DOI: 10.1016/j.neucom.2005.12.046  0.555
2005 Mayor J, Gerstner W. Signal buffering in random networks of spiking neurons: microscopic versus macroscopic phenomena. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 72: 051906. PMID 16383644 DOI: 10.1103/PhysRevE.72.051906  0.58
2005 Strösslin T, Sheynikhovich D, Chavarriaga R, Gerstner W. Robust self-localisation and navigation based on hippocampal place cells. Neural Networks : the Official Journal of the International Neural Network Society. 18: 1125-40. PMID 16263241 DOI: 10.1016/J.Neunet.2005.08.012  0.815
2005 Chavarriaga R, Strösslin T, Sheynikhovich D, Gerstner W. A computational model of parallel navigation systems in rodents. Neuroinformatics. 3: 223-41. PMID 16077160 DOI: 10.1385/Ni:3:3:223  0.794
2005 Brette R, Gerstner W. Adaptive exponential integrate-and-fire model as an effective description of neuronal activity. Journal of Neurophysiology. 94: 3637-42. PMID 16014787 DOI: 10.1152/Jn.00686.2005  0.464
2005 Mayor J, Gerstner W. Noise-enhanced computation in a model of a cortical column. Neuroreport. 16: 1237-40. PMID 16012356 DOI: 10.1097/00001756-200508010-00021  0.592
2005 Richardson MJ, Melamed O, Silberberg G, Gerstner W, Markram H. Short-term synaptic plasticity orchestrates the response of pyramidal cells and interneurons to population bursts. Journal of Computational Neuroscience. 18: 323-31. PMID 15830168 DOI: 10.1007/S10827-005-0434-8  0.573
2005 Richardson MJ, Gerstner W. Synaptic shot noise and conductance fluctuations affect the membrane voltage with equal significance. Neural Computation. 17: 923-47. PMID 15829095 DOI: 10.1162/0899766053429444  0.44
2005 Toyoizumi T, Pfister JP, Aihara K, Gerstner W. Generalized Bienenstock-Cooper-Munro rule for spiking neurons that maximizes information transmission. Proceedings of the National Academy of Sciences of the United States of America. 102: 5239-44. PMID 15795376 DOI: 10.1073/Pnas.0500495102  0.839
2005 Hermens F, Luksys G, Gerstner W, Herzog MH. Visual backward masking: Feed-forward or recurrent? Journal of Vision. 5: 764-764. DOI: 10.1167/5.8.764  0.437
2005 Chavarriaga R, Strösslin T, Sheynikhovich D, Gerstner W. Competition between cue response and place response: A model of rat navigation behaviour Connection Science. 17: 167-183. DOI: 10.1080/09540090500138093  0.793
2005 Melamed O, Silberberg G, Markram H, Gerstner W, Richardson MJE. Subthreshold cross-correlations between cortical neurons: A reference model with static synapses Neurocomputing. 65: 685-690. DOI: 10.1016/J.Neucom.2004.10.098  0.603
2005 Sheynikhovich D, Chavarriaga R, Strösslin T, Gerstner W. Spatial representation and navigation in a bio-inspired robot Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 3575: 245-264. DOI: 10.1007/11521082_15  0.799
2005 Strösslin T, Chavarriaga R, Sheynikhovich D, Gerstner W. Modelling path integrator recalibration using hippocampal place cells Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 3696: 51-56.  0.784
2005 Pfister JP, Gerstner W. Beyond pair-based STDP: A phenomenogical rule for spike triplet and frequency effects Advances in Neural Information Processing Systems. 1081-1088.  0.511
2005 Jolivet R, Rauch A, Lüscher HR, Gerstner W. Integrate-and-Fire models with adaptation are good enough: Predicting spike times under random current injection Advances in Neural Information Processing Systems. 595-602.  0.688
2005 Toyoizumi T, Pfister JP, Aihara K, Gerstner W. Spike-timing dependent plasticity and mutual information maximization for a spiking neuron model Advances in Neural Information Processing Systems 0.824
2004 Mayor J, Gerstner W. Transient information flow in a network of excitatory and inhibitory model neurons: role of noise and signal autocorrelation. Journal of Physiology, Paris. 98: 417-28. PMID 16289547 DOI: 10.1016/j.jphysparis.2005.09.009  0.614
2004 Jolivet R, Gerstner W. Predicting spike times of a detailed conductance-based neuron model driven by stochastic spike arrival. Journal of Physiology, Paris. 98: 442-51. PMID 16274972 DOI: 10.1016/j.jphysparis.2005.09.010  0.78
2004 Arleo A, Smeraldi F, Gerstner W. Cognitive navigation based on nonuniform Gabor space sampling, unsupervised growing networks, and reinforcement learning. Ieee Transactions On Neural Networks / a Publication of the Ieee Neural Networks Council. 15: 639-52. PMID 15384552 DOI: 10.1109/Tnn.2004.826221  0.76
2004 Jolivet R, Lewis TJ, Gerstner W. Generalized integrate-and-fire models of neuronal activity approximate spike trains of a detailed model to a high degree of accuracy. Journal of Neurophysiology. 92: 959-76. PMID 15277599 DOI: 10.1152/Jn.00190.2004  0.751
2004 Millán JdR, Renkens F, Mouriño J, Gerstner W. Brain-actuated interaction Artificial Intelligence. 159: 241-259. DOI: 10.1016/j.artint.2004.05.008  0.554
2004 Chavarriaga R, Gerstner W. Combining visual and proprioceptive information in a model of spatial learning and navigation Ieee International Conference On Neural Networks - Conference Proceedings. 1: 603-608.  0.561
2003 Tonnelier A, Gerstner W. Piecewise linear differential equations and integrate-and-fire neurons: insights from two-dimensional membrane models. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 67: 021908. PMID 12636716 DOI: 10.1103/Physreve.67.021908  0.37
2003 Jolivet R, Lewis TJ, Gerstner W. The spike response model: A framework to predict neuronal spike trains Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2714: 846-853.  0.725
2003 Mayor J, Gerstner W. Online processing of multiple inputs in a sparsely-connected recurrent neural network Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2714: 839-845.  0.536
2003 Pfister JP, Barber D, Gerstner W. Optimal hebbian learning: A probabilistic point of view Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2714: 92-98.  0.502
2002 Gerstner W, Kistler WM. Mathematical formulations of Hebbian learning. Biological Cybernetics. 87: 404-15. PMID 12461630 DOI: 10.1007/s00422-002-0353-y  0.442
2002 Herrmann A, Gerstner W. Noise and the PSTH response to current transients: II. Integrate-and-fire model with slow recovery and application to motoneuron data. Journal of Computational Neuroscience. 12: 83-95. PMID 12053155 DOI: 10.1023/A:1015739523224  0.385
2002 Kistler WM, Gerstner W. Stable propagation of activity pulses in populations of spiking neurons. Neural Computation. 14: 987-97. PMID 11972904 DOI: 10.1162/089976602753633358  0.467
2002 Strösslin T, Krebser C, Arleo A, Gerstner W. Combining multimodal sensory input for spatial learning Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2415: 87-92.  0.732
2001 Spiridon M, Gerstner W. Effect of lateral connections on the accuracy of the population code for a network of spiking neurons. Network (Bristol, England). 12: 409-21. PMID 11762897 DOI: 10.1088/0954-898X/12/4/301  0.449
2001 Herrmann A, Gerstner W. Noise and the PSTH response to current transients: I. General theory and application to the integrate-and-fire neuron. Journal of Computational Neuroscience. 11: 135-51. PMID 11717530 DOI: 10.1023/A:1012841516004  0.367
2001 Kempter R, Gerstner W, van Hemmen JL. Intrinsic stabilization of output rates by spike-based Hebbian learning. Neural Computation. 13: 2709-41. PMID 11705408 DOI: 10.1162/089976601317098501  0.763
2001 Gerstner W. Coding properties of spiking neurons: reverse and cross-correlations. Neural Networks : the Official Journal of the International Neural Network Society. 14: 599-610. PMID 11665756 DOI: 10.1016/S0893-6080(01)00053-3  0.411
2001 Gerstner W. Chapter 12 A framework for spiking neuron models: The spike response model Handbook of Biological Physics. 4: 469-516. DOI: 10.1016/S1383-8121(01)80015-4  0.345
2001 Arleo A, Gerstner W. Spatial orientation in navigating agents: Modeling head-direction cells Neurocomputing. 38: 1059-1065. DOI: 10.1016/S0925-2312(01)00572-0  0.751
2001 Spiridon M, Gerstner W. The accuracy of the population vector estimate in networks of integrate-and-fire type neurons using stationary and transient stimuli Neurocomputing. 38: 927-934. DOI: 10.1016/S0925-2312(01)00399-X  0.391
2001 Arleo A, Smeraldi F, Hug S, Gerstner W. Place cells and spatial navigation based on 2D visual feature extraction, path integration, and reinforcement learning Advances in Neural Information Processing Systems 0.715
2000 Arleo A, Gerstner W. Spatial cognition and neuro-mimetic navigation: a model of hippocampal place cell activity. Biological Cybernetics. 83: 287-99. PMID 11007302 DOI: 10.1007/S004220000171  0.767
2000 Gerstner W. Population dynamics of spiking neurons: fast transients, asynchronous states, and locking. Neural Computation. 12: 43-89. PMID 10636933 DOI: 10.1162/089976600300015899  0.402
2000 Spiridon M, Chow CC, Gerstner W. Effect of correlations on signal transmission in a population of spiking neurons Neurocomputing. 32: 529-535. DOI: 10.1016/S0925-2312(00)00209-5  0.397
2000 Plesser HE, Gerstner W. Escape rate models for noisy integrate-and-fire neurons Neurocomputing. 32: 219-224. DOI: 10.1016/S0925-2312(00)00167-3  0.432
2000 Herrmann A, Gerstner W. Effect of noise on neuron transient response Neurocomputing. 32: 147-154. DOI: 10.1016/S0925-2312(00)00156-9  0.374
1999 Spiridon M, Gerstner W. Noise spectrum and signal transmission through a population of spiking neurons. Network (Bristol, England). 10: 257-72. PMID 10496476 DOI: 10.1088/0954-898X/10/3/304  0.368
1999 Kempter R, Gerstner W, Van Hemmen JL. Hebbian learning and spiking neurons Physical Review E - Statistical Physics, Plasmas, Fluids, and Related Interdisciplinary Topics. 59: 4498-4514. DOI: 10.1103/Physreve.59.4498  0.764
1999 Kempter R, Gerstner W, Van Hemmen JL. Spike-based compared to rate-based hebbian learning Advances in Neural Information Processing Systems. 125-131.  0.691
1998 Wimbauer S, Gerstner W, van Hemmen JL. Analysis of a correlation-based model for the development of orientation-selective receptive fields in the visual cortex. Network (Bristol, England). 9: 449-66. PMID 10221574 DOI: 10.1088/0954-898X_9_4_004  0.567
1998 Kempter R, Gerstner W, van Hemmen JL. How the threshold of a neuron determines its capacity for coincidence detection. Bio Systems. 48: 105-12. PMID 9886637 DOI: 10.1016/S0303-2647(98)00055-0  0.748
1998 Kempter R, Gerstner W, van Hemmen JL, Wagner H. Extracting oscillations. Neuronal coincidence detection with noisy periodic spike input. Neural Computation. 10: 1987-2017. PMID 9804669 DOI: 10.1162/089976698300016945  0.76
1997 Gerstner W, Kreiter AK, Markram H, Herz AV. Neural codes: firing rates and beyond. Proceedings of the National Academy of Sciences of the United States of America. 94: 12740-1. PMID 9398065 DOI: 10.1073/pnas.94.24.12740  0.679
1997 Gerstner W, Abbott LF. Learning navigational maps through potentiation and modulation of hippocampal place cells. Journal of Computational Neuroscience. 4: 79-94. PMID 9046453 DOI: 10.1023/A:1008820728122  0.659
1997 Kistler WM, Gerstner W, Van Hemmen JL. Reduction of the Hodgkin-Huxley Equations to a Single-Variable Threshold Model Neural Computation. 9: 1015-1045. DOI: 10.1162/Neco.1997.9.5.1015  0.635
1996 Gerstner W, van Hemmen JL, Cowan JD. What matters in neuronal locking? Neural Computation. 8: 1653-76. PMID 8888612 DOI: 10.1162/Neco.1996.8.8.1653  0.613
1996 Fuentes U, Ritz R, Gerstner W, Van Hemmen JL. Vertical signal flow and oscillations in a three-layer model of the cortex. Journal of Computational Neuroscience. 3: 125-36. PMID 8840229 DOI: 10.1007/BF00160808  0.567
1996 Gerstner W, Kempter R, van Hemmen JL, Wagner H. A neuronal learning rule for sub-millisecond temporal coding. Nature. 383: 76-81. PMID 8779718 DOI: 10.1038/383076a0  0.772
1995 Gerstner W. Time structure of the activity in neural network models. Physical Review. E, Statistical Physics, Plasmas, Fluids, and Related Interdisciplinary Topics. 51: 738-758. PMID 9962697 DOI: 10.1103/PhysRevE.51.738  0.47
1995 Fohlmeister C, Gerstner W, Ritz R, van Hemmen JL. Spontaneous excitations in the visual cortex: stripes, spirals, rings, and collective bursts. Neural Computation. 7: 905-14. PMID 7584892 DOI: 10.1162/Neco.1995.7.5.905  0.601
1995 Schiegg A, Gerstner W, Ritz R, van Hemmen JL. Intracellular Ca2+ stores can account for the time course of LTP induction: a model of Ca2+ dynamics in dendritic spines. Journal of Neurophysiology. 74: 1046-55. PMID 7500131 DOI: 10.1152/Jn.1995.74.3.1046  0.505
1994 Ritz R, Gerstner W, Fuentes U, van Hemmen JL. A biologically motivated and analytically soluble model of collective oscillations in the cortex. II. Application to binding and pattern segmentation. Biological Cybernetics. 71: 349-58. PMID 7948226 DOI: 10.1007/BF00239622  0.631
1994 Wimbauer S, Gerstner W, van Hemmen JL. Emergence of spatiotemporal receptive fields and its application to motion detection Biological Cybernetics. 72: 81-92. DOI: 10.1007/BF00206240  0.559
1993 Gerstner W, Ritz R, van Hemmen JL. A biologically motivated and analytically soluble model of collective oscillations in the cortex. I. Theory of weak locking. Biological Cybernetics. 68: 363-74. PMID 8386552 DOI: 10.1007/BF00201861  0.653
1993 Gerstner W, Ritz R, van Hemmen JL. Why spikes? Hebbian learning and retrieval of time-resolved excitation patterns. Biological Cybernetics. 69: 503-15. PMID 7903867 DOI: 10.1007/BF00199450  0.639
1992 Gerstner W, van Hemmen JL. Universality in neural networks: the importance of the 'mean firing rate'. Biological Cybernetics. 67: 195-205. PMID 1498186 DOI: 10.1007/BF00204392  0.655
1992 Gerstner W, van Hemmen JL. Associative memory in a network of 'spiking' neurons Network: Computation in Neural Systems. 3: 139-164. DOI: 10.1088/0954-898X_3_2_004  0.554
1992 Gerstner W, Hemmen JV. Associative memory in a network of ‘spiking’ neurons Network: Computation in Neural Systems. 3: 139-164. DOI: 10.1088/0954-898X/3/2/004  0.499
1970 Gerstner W. The power and limits of simple neuron models: predicting neural activity spike by spike Frontiers in Neuroinformatics. DOI: 10.3389/Conf.Neuro.11.2009.08.131  0.438
1970 Naud R, Gerstner W, Mensi S, Becker T. Complexity and performance in simple neuron models Frontiers in Neuroinformatics. DOI: 10.3389/Conf.Neuro.11.2009.08.087  0.813
Show low-probability matches.