R. Kempter and W. Gerstner and J.L. van Hemmen (2000).Intrinsic stabilization of outout firing rates by spike-based Hebbian learning
Submitted to Neural Computation. Abstract
R. Kempter and W. Gerstner and J.L. van Hemmen (2000).
Intrinsic stabilization of outout firing rates by
spike-based Hebbian learning
Submitted to Neural Computation.
Abstract
Angelo Arleo and Wulfram Gerstner (2000).
Place Cells and Spatial Navigation based on Vision, Path Integration, and Reinforcement Learning.
In: Advances in Neural Information Processing Systems 13, MIT-Press, Denver, December 2000. (accepted)
[pdf.z file],
A. Arleo and W. Gerstner (2000)
Modeling Rodent Head-direction Cells and Place Cells for Spatial Learning in Bio-mimetic Robotics,
Sixth Int. Conf. on the Simulation of Adaptive Behavior, from Animals to Animats --SAB2000, Paris.
W. Gerstner (1999)
A Framework for Spiking Neuron Models:
The Spike Response Model
Preprint. To appear in: The Handbook of Biological Physics,
Stan Gielen et al. (Eds.)
W. Gerstner (1999)
What's different with spiking neurons?
Preprint. To appear in: Henk Mastebroek and Hans Vooss (Eds.)
W. Gerstner (1999)
Supervised Learning for Neural Networks:
A Tutorial with JAVA exercises
To appear in: Intelligent Systems,
An EPFL graduate course.
D. Mlynek and H.-N. Teodorescu (Eds.).
A. Arleo and W. Gerstner (2000)
Spatial Cognition and Neuro-Mimetic Navigation:
A Model of Hippocampal Place Cell Activity
Biological Cybernetics, 83:287-299.
W. Gerstner (2000)
Population Dynamics of Spiking Neurons:
Fast Transients, Asynchronous States, and Locking.
Neural Computation 12:43-89.
Hans E. Plesser and W. Gerstner (2000)
Noise in integrate-and-fire neurons:
from stochastic input to escape rates
Neural Computation 12:367-384.
A. Herrmann, W.Gerstner. (2000)
Effect of noise on neuron transient response.
Neurocomputing 32-33: 147-154
H.E. Plesser, W.Gerstner. (2000)
Escape rate models for noisy integrate-and-fire neurons
Neurocomputing 32-33: 219-224
R. Kempter, W. Gerstner, and J. L. van Hemmen (1999)
Hebbian Learning and Spiking Neurons
Physical Review E, 59:4498-4514
Abstract
M. Spiridon and W. Gerstner W (1999)
Noise spectrum and signal transmission through
a population of spiking neurons
Network: Computation in Neural Systems, 10:257-272
Mar DJ, Chow CC, Gerstner W, Adams RW, and Collins JJ (1999)
Noise-shaping in a population of coupled model neurons
Proceedings of the National Academy of Sciences, 96: 10450-10455
Angelo Arleo, Wulfram Gerstner (1999)
Neuro-Mimetic Navigation Systems: A Computational Model of the Hippocampus,
In: Intelligence Artificielle Située,
edited by A. Grogoul and J.-A. Meyer, Hermes(Paris), 1999, pp. 193-211
A. Arleo and W. Gerstner (1999)
A vision-driven model of
hippocampal place cells and
temporally asymmetric LTP-induction for action learning,
In: ICANN'99 Artificial Neural Networks,}
conference publication 470, IEE (UK),
pp. 132-137
W. Gerstner (1999)
Rapid signal transmission by populations of spiking neurons.
In: ICANN'99 Artificial Neural Networks,}
conference publication 470, IEE (UK),
pp. 7-12
A. Herrmann and W. Gerstner (1999)
Understanding the PSTH response to synaptic input
In: ICANN'99 Artificial Neural Networks,}
conference publication 470, IEE (UK),
pp. 1012-1017
R. Kempter, W. Gerstner, and J. L. van Hemmen (1999)
Spike-Based Compared to
Rate-Based Hebbian Learning
NIPS conference, Denver, December 1998.
Advances in Neural Information Processing Systems 11,
MIT-Press, edited by M.S. Kearns and S.A. Solla and D. A. Cohn, pp. 125-131
R. Kempter, W. Gerstner, H. Wagner, and J. L. van Hemmen (1999)
The quality of Coincidence detection and ITD-tuning:
a theoretical framework.
Psychophysics, Physiology and Models
of Hearing. T. Dau, V. Hohmann, and B. Kollmeier (Eds.),
World Scientific, Singapore, pp. 185-194.
R. Kempter, W. Gerstner, J.L. van Hemmen, and H. Wagner (1998)
Extracting oscillations: neuronal coincidence detection
with noisy periodic spike input.
Neural Computation, 10:1987-2017
W. Gerstner (1998)
Spiking neurons
In: W. Maass and C.M. Bishop (Editors),
Pulsed Neural Networks, MIT press, pp. 3-54
W. Gerstner (1998)
Populations of spiking neurons
In: W. Maass and C.M. Bishop (Editors),
Pulsed Neural Networks, MIT press, pp. 261-295
W. Gerstner, R. Kempter, J.L. van Hemmen, and H. Wagner (1998)
Hebbian learning of pulse timing in the barn owl auditory system
In: W. Maass and C.M. Bishop (Editors),
Pulsed Neural Networks, MIT press, pp. 353-377
M. Spiridon, C.C. Chow and W. Gerstner (1998)
Frequency spectrum of coupled stochastic neurons
with refractoriness.
in: L. Niklasson, M. Boden. and T. Ziemke (Eds.),
ICANN'98, Springer-Verlag,
pp. 337-342
S. Wimbauer, W. Gerstner and J.L. van Hemmen (1998)
Analysis of a correlation-based model for the development
of orientation-selective receptive fields in the visual cortex.
Network 9:449-466
R. Kempter, W. Gerstner and J.L. van Hemmen (1998)
How the threshold of a neuron determines its capacity
for coincidence detection.
BioSystems 48:105-112
Kistler W, Gerstner W, and van Hemmen JL (1997)
Reduction of Hodgkin-Huxley equations to a
threshold model.
Neural Comput. 9:1069-1100
W. Gerstner and L.F. Abbott (1997)
Learning navigational maps through potentiation
and modulation of hippocampal place cells.
J. Comput. Neurosci. 4:79-94
- Abstract,
- text.ps.Z,
- Figs.ps.Z
W. Gerstner, A. K. Kreiter, H. Markram, and A.V.M .Herz (1997)
Neural codes: firing rates and beyond
Proc. Natl. Acad. Sci. USA 94:12740-12741
R. Ritz, W. Gerstner, R. Gaudoin, and J.L. van Hemmen (1997)
Poisson-like neuronal firing due to multiple synfire chains
in simultaneous action
In: Computational Neuroscience: Trends in Research 1997,
Plenum Press, New York, pp. 801-806
W. Gerstner, R. Kempter, J.L. van Hemmen, and H. Wagner (1997)
A developmental learning rule for coincidence tuning in the barn owl
auditory system
In: Computational Neuroscience: Trends in Research 1997,
Plenum Press, New York, pp. 665-669
Gerstner W (1996)
Rapid phase locking in systems of pulse-coupled oscillators
with delays
Phys. Rev. Lett. 76 :1755-1758
Fuentes U, Ritz R, Gerstner W, and van Hemmen JL (1996)
Vertical Signal Flow and Oscillations in a
3-Layer Model of the Cortex
J. Comput. Neurosci. 3:125-136
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,
Kempter R, Gerstner W, van Hemmen JL, and Wagner H (1996)
Temporal coding
in the sub-millisecond range:
Model of barn owl auditory pathway
Advances in Neural Information Processing Systems 8, MIT Press,
Cambridge, pp.124 - 130
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,
Gerstner W (1995)
Time structure of the activity in neural network models .
Phys. Rev. E, 51 :738-758
Fohlmeister C, Gerstner W, Ritz R, and van Hemmen JL (1995)
Spontaneous excitations in the visual cortex: stripes, spirals,
rings, and collective bursts.
Neural Comput. 7 :905-914
Gaudoin R, Gerstner W, and van Hemmen JL (1995)
Multiple synfire chains in simultaneous action.
Goettingen Neurobiology Report,
Proceedings of the 23rd Goettingen Neurobiology
Conference 1995, Volume 2,
p. 898 (poster)
Schiegg A, Gerstner W, Ritz R, and van Hemmen JL (1995)
Intracellular Ca^2+ stores can account for the time course of LTP
induction: A model of Ca^2+ dynamics in dendritic spines.
J. Neurophysiol., 74 :1046-1055
Gerstner W and van Hemmen JL (1994a)
How to describe neural activity -- spikes, rates, or assemblies?
In: Advances in Neural Information Processing Systems 6 ,
Cowan JD, Tesauro G, and Alspector J (Eds.),
Morgan Kaufmann Publishers, San Francisco, CA
pp. 463-470
Gerstner W and van Hemmen JL (1994b)
Coding and information processing in neural networks .
In: Models of Neural Networks, Vol. 2 .
Domany E, van Hemmen JL, and Schulten K (Eds.),
Springer-Verlag, New York,
pp. 1-92
Ritz R, Gerstner W, and van Hemmen JL (1994)
Associative Binidng and segregation
in a network of spiking neurons .
In: Models of Neural Networks, Vol. 2 .
Domany E, van Hemmen JL, and Schulten K (Eds.),
Springer-Verlag, New York,
pp. 175-219
Wimbauer S, Gerstner W, and van Hemmen JL (1994a)
Motion detection in a Linsker network .
In: ICANN'94, Proceedings of the International Conference
on Artificial Neural Networks, Sorrento, Italy, 26-19 May 1994 ,
Marinaro M and Morasso PG (Eds.)
Springer-Verlag, London Berlin Heidelberg New York,
pp. 1001-1004
Wimbauer S, Gerstner W, and van Hemmen JL (1994b)
Emergence of spatio-temporal receptive fields and
its application to motion detection .
Biol. Cybern., 72 :81-92
Ritz R, Gerstner W, Fuentes U, and van Hemmen JL (1994)
A biologically motivated and analytically soluble model
of collective oscillations in the cortex:
II. Application to binding and pattern segmentation .
Biol. Cybern. 71 :349-358
van Hemmen JL, Gerstner W, Herz AVM, Kuehn R, Sulzer B, and Vaas M
(1990)
Gerstner W (1991)
Associative memory in a network of 'biological' neurons .
In: Advances in Neural Information Processing Systems 3 ,
Lippmann RP, Moody JE, and Touretzky DS (Eds.),
Morgan Kaufmann Publishers, San Mateo, pp. 84-90
Gerstner W and van Hemmen JL (1992a)
Associative memory in a network of 'spiking' neurons .
Network 3 :139-164
Gerstner W and van Hemmen JL (1992b)
Universality in neural networks:
The importance of the mean firing rate.
Biol. Cybern. 67 :195-205
van Hemmen JL, Gerstner W, and Ritz R (1992)
A 'microscopic' model of collective oscillations in the cortex .
In: Neural network dynamics, Proceedings of the workshop on
complex dynamics in neural networks, June 17-21 1991 at IIASS, Vietri .
Taylor JG, Caianiello ER, Cotterill RMJ, and Clark ER (Eds.),
Springer Verlag, London Berlin Heidelberg New York,
pp. 250-257
Gerstner W (1993)
Kodierung und Signaluebertragung in Neuronalen
Systemen: Assoziative Netzwerke mit stochastisch
feuernden Neuronen ;
Verlag Harri Deutsch, Thun, Frankfurt am Main,
Reihe Physik, Bd. 15
Gerstner W and van Hemmen JL (1993)
Coherence and incoherence in a globally coupled
ensemble of pulse-emitting units .
Phys. Rev. Lett. 71 :312-315
Gerstner W and van Hemmen JL (1993b)
Spikes or Rates? -- Stationary, oscillatory, and
spatio-temporal states in an associative network of spiking neurons .
In: ICANN'93, Proceedings of the International Conference
on Artificial Neural Networks, Amsterdam, 13-16 September 1993 ,
Gielen G and Kappen B (Eds.),
Springer-Verlag, London Berlin Heidelberg New York,
pp. 633-638
Gerstner W, Ritz R, and van Hemmen JL (1993a)
A biologically motivated and analytically soluble model
of collective oscillations in the cortex: I. Theory of weak locking .
Biol. Cybern. 68 :363-374
Gerstner W, Ritz R, and van Hemmen JL (1993b)
Why spikes? Hebbian learning and retrieval
of time-resolved excitation patterns .
Biol. Cybern. 69 :503-515