H. Markram and J. Sjostrom and W. Gerstner
A history of spike-timing-dependent plasticity
Front. Syn. Neurosci. 3:4. doi: 10.3389/fnsyn.2011.00004

F. Gerhard, G. Pipa, B. Lima, S. Neuenschwander, and W. Gerstner (2011)
Extraction of network topology from multi-electrode recordings: Is there a small-world effect?
Front. Comput. Neurosci. 5:4. doi: 10.3389/fncom.2011.00004

N. Fremaux, H. Sprekeler and W. Gerstner (2010)
Functional Requirements for Reward-Modulated Spike-Timing-Dependent Plasticity,
Journal of Neuroscience, Vol. 30, Nr. 40, pp. 13326-13337

Claudia Clopath, Lars Busing, Eleni Vasilaki and Wulfram Gerstner (2010)
Connectivity reflects coding: A model of voltage-based spike-timing-dependent-plasticity with homeostasis.
Nature Neuroscience, 13:344 - 352
doi:10.1038/nn.2479. Public Preprint version
Link to NEWS and VIEWS of N. Spruston and J. Cang

Claudia Clopath and Wulfram Gerstner (2010),
Voltage and spike timing interact in STDP - a unified model
Front. Syn. Neurosci., doi: 10.3389/fnsyn.2010.00025

Guillaume Hennequin, Wulfram Gerstner and Jean-Pascal Pfister (2010)
STDP in adaptive neurons gives close-to-optimal information transmission
Front. Comput. Neurosci. 4:143. doi: 10.3389/fncom.2010.00143

W. Gerstner (2010)
From Hebb rules to STDP: a personal account
Front. Syn. Neurosci. 2:151. doi: 10.3389/fnsyn.2010.00151

Jesper Sjostrom and Wulfram Gerstner (2010)
Spike-timing dependent plasticity .
Scholarpedia, 5(2):1362 Here the pdf file with high-resolution figures

Eleni Vasilaki1, Nicolas Fremaux, Robert Urbanczik, Walter Senn, Wulfram Gerstner (2009)
Spike-Based Reinforcement Learning in Continuous State and Action Space: When Policy Gradient Methods Fail
PLoS Comput Biol 5(12): e1000586. doi:10.1371/journal.pcbi.1000586

Wulfram Gerstner and Richard Naud (2009)
How good are neuron models? Science, vol. 326: 379-380

Gediminas Luksys, Wulfram Gerstner, and Carmen Sandi (2009)
Stress, genotype and norepinephrine in the prediction of mouse behavior using reinforcement learning
Nature Neuroscience 12:1180-1186
Published online: 16 August 2009 | doi:10.1038/nn.2374

Wulfram Gerstner and Romain Brette (2009)
Adaptive exponential integrate-and-fire model.
Scholarpedia, 4:8427

Denis Sheynikhovich, Ricardo Chavarriaga, Thomas Strosslin, Angelo Arleo and Wulfram Gerstner (2009)
Is there a geometric module for spatial orientation? Insights from a rodent navigation model
Psychological Review, 116:540-566. link to published article

Main publications

Claudia Clopath, Lorric Ziegler, Eleni Vasilaki, Lars Busing, Wulfram Gerstner (2008)
Tag-Trigger-Consolidation: A Model of Early and Late Long-Term-Potentiation and Depression
PLoS Computational Biology 4(12): e1000248 doi:10.1371/journal.pcbi.1000248 pdf

Laurent Badel, Sandrine Lefort, Romain Brette, Carl Petersen, Wulfram Gerstner and Magnus J.E. Richardson (2008)
Dynamic I-V Curves Are Reliable Predictors of Naturalistic Pyramidal-Neuron Voltage Traces,
J Neurophysiol 99: 656 - 666, 2008. pdf-file

Jean-Pascal Pfister and W. Gerstner (2006)
Triplets of Spikes in a Model of Spike Timing-Dependent Plasticity
J. Neurosci., 26: 9673 - 9682 pdf file and high-resolution figures

Romain Brette and Wulfram Gerstner (2005)
Adaptive Exponential Integrate-and-Fire Model as an Effective Description of Neuronal Activity
J Neurophysiol, 94: 3637 - 3642

T. Toyoizumi, J.-P. Pfister, K. Aihara, and W. Gerstner (2005)
Generalized Bienenstock-Cooper-Munro rule for spiking neurons that maximizes information transmission
Proc. Natl. Acad. Sci. USA, 102:5239-5244
pdf-file (main text) and supporting information

R. Jolivet and T. J. Lewis and W. Gerstner (2004)
Generalized Integrate-and-Fire Models of Neuronal Activity Approximate Spike Trains of a Detailed Model to a High Degree of Accuracy.
J. Neurophysiology 92: 959-976 pdf file (preprint version)

BOOK: W. Gerstner and W. Kistler `Spiking Neuron Models - Single Neurons, Populations, Plasticity'
Cambridge Univ. Press (2002)

A. Arleo and W. Gerstner (2000)
Spatial Cognition and Neuro-Mimetic Navigation: A Model of Hippocampal Place Cell Activity
Biological Cybernetics, 83:287-299. [pdf file],

W. Gerstner (2000)
Population Dynamics of Spiking Neurons: Fast Transients, Asynchronous States, and Locking.
Neural Computation 12:43-89.
[ pdf file]

R. Kempter, W. Gerstner, and J. L. van Hemmen (1999)
Hebbian Learning and Spiking Neurons
Physical Review E, 59:4498-4514 Abstract [ pdf file]

Gerstner W, Kempter R, van Hemmen JL, and Wagner H (1996)
A neuronal learning rule for sub-millisecond temporal coding.
Nature, 383 :76-78
Abstract, [ figs.pdf ] [ reprint.pdf ]

Gerstner W, van Hemmen JL, and Cowan JD (1996)
What matters in neuronal locking
Neural Computation 8:1653-1676
- Abstract, - text.ps.Z, - figs.ps.Z,

Gerstner W, Ritz R, and van Hemmen JL (1993)
Why spikes? Hebbian learning and retrieval of time-resolved excitation patterns .
Biol. Cybern. 69 :503-515 [ pdf file]

Gerstner W and van Hemmen JL (1992)
Associative memory in a network of 'spiking' neurons .
Network 3 :139-164

Some teaching material for a course on spiking neuron models: PartI - Single Neuron Models and PartII - Population Models and PartIII - Models of Synaptic Plasticity .