Andreas Knoblauch

C Clopath

E Lubenov

F Hauser

Florian Hauser

Günther Palm

S Song

W Gerstner

English

PubMed

Palm Günther

Knoblauch Andreas

Hauser Florian

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BMC Neuroscience

Different neural codes result in bidirectional connectivity formed by the same model of spike-timing-dependent plasticity

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POSTER PRESENTATION Open AccessDifferent neural codes result in bidirectionalconnectivity formed by the same model of spike-timing-dependent plasticityFlorian Hauser1*, Andreas Knoblauch2, Günther Palm1From Twentieth Annual Computational Neuroscience Meeting: CNS*2011Stockholm, Sweden. 23-28 July 2011Recent studies on phenomenological models of spike-timing-dependent plasticity (STDP) extend the idea of apure spike-based paradigm to the level of dendritic voltage[1]. In such models, the decision to induce early long-termpotentiation (eLTP) or long-term depression (eLTD) notsolely depends on the time difference between pre- andpost-synaptic spikes but also on the precise dynamics ofthe post-synaptic potential. From simulations of smallneural networks and different stimulation schemes corre-sponding to different neural codes, these studies have con-cluded that the pattern of synaptic connectivity woulddirectly follow from the neural code and vice versa. Forexample, they have suggested that strong uni-directionalconnectivity would emerge through temporal coding,whereas bidirectional connectivity would be indicative for arate code. Relying on results from earlier studies on firstgeneration STDP models [2-4], synchronous temporalcodes forming bidirectional connectivity patterns wereconsidered unlikely in [1]. However, recent findings revisea general exclusion of this relationship [5] even for firstgeneration STDP models. In particular, our work showsthat realistic STDP models as proposed in [1] can actuallynot predict the neural code (temporal vs. rate coding) bylooking at the pattern of synaptic connectivity within a spe-cific brain area. With the same kind of simulations as in[1], but additionally considering stimulation conditions forsynchronous temporal coding, we show that bidirectionalconnections are still possible. Furthermore we discuss theinfluence of synchronization precision and oscillatoryactivity.Author details1Institute of Neural Information Processing, Ulm University, 89069 Ulm,Germany. 2Honda Research Institute EU, 63073 Offenbach/Main, Germany.Published: 18 July 2011References1. Clopath C, Büsing L, Vasilaki E, Gerstner W: Connectivity reflects coding: amodel of voltage-based STDP with homeostasis. Nature Neuroscience2010, 13:344-352.2. Gerstner W, Kempter R, Van Hemmen L: A neuronal learning rule for sub-millisecond temporal coding. Nature 1996, 383:76-81.3. Song S, Abbott LF: Cortical development and remapping through spiketiming-dependent plasticity. Neuron 2001, 32:339-350.4. Lubenov E, Siapas A: Decoupling through synchrony in neuronal circuitswith propagation delays. Neuron 2008, 58:118-131.5. Hauser F, Knoblauch A, Palm G: A simulation study on different STDPmodels concerning localized gamma oscillations. Nature PrecedingsConference Abstract: Computational and systems neuroscience 2011.doi:10.1186/1471-2202-12-S1-P247Cite this article as: Hauser et al.: Different neural codes result inbidirectional connectivity formed by the same model of spike-timing-dependent plasticity. BMC Neuroscience 2011 12(Suppl 1):P247.Submit your next manuscript to BioMed Centraland take full advantage of: • Convenient online submission• Thorough peer review• No space constraints or color figure charges• Immediate publication on acceptance• Inclusion in PubMed, CAS, Scopus and Google Scholar• Research which is freely available for redistributionSubmit your manuscript at www.biomedcentral.com/submit* Correspondence: florian.hauser@uni-ulm.de1Institute of Neural Information Processing, Ulm University, 89069 Ulm,GermanyFull list of author information is available at the end of the articleHauser et al. BMC Neuroscience 2011, 12(Suppl 1):P247http://www.biomedcentral.com/1471-2202/12/S1/P247© 2011 Hauser et al; licensee BioMed Central Ltd. This is an open access article distributed under the terms of the Creative CommonsAttribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction inany medium, provided the original work is properly cited.

POSTER PRESENTATION Open Access
Different neural codes result in bidirectional
connectivity formed by the same model of spike-
timing-dependent plasticity
Florian Hauser1*, Andreas Knoblauch2, Günther Palm1
From Twentieth Annual Computational Neuroscience Meeting: CNS*2011
Stockholm, Sweden. 23-28 July 2011
Recent studies on phenomenological models of spike-
timing-dependent plasticity (STDP) extend the idea of a
pure spike-based paradigm to the level of dendritic voltage
[1]. In such models, the decision to induce early long-term
potentiation (eLTP) or long-term depression (eLTD) not
solely depends on the time difference between pre- and
post-synaptic spikes but also on the precise dynamics of
the post-synaptic potential. From simulations of small
neural networks and different stimulation schemes corre-
sponding to different neural codes, these studies have con-
cluded that the pattern of synaptic connectivity would
directly follow from the neural code and vice versa. For
example, they have suggested that strong uni-directional
connectivity would emerge through temporal coding,
whereas bidirectional connectivity would be indicative for a
rate code. Relying on results from earlier studies on first
generation STDP models [2-4], synchronous temporal
codes forming bidirectional connectivity patterns were
considered unlikely in [1]. However, recent findings revise
a general exclusion of this relationship [5] even for first
generation STDP models. In particular, our work shows
that realistic STDP models as proposed in [1] can actually
not predict the neural code (temporal vs. rate coding) by
looking at the pattern of synaptic connectivity within a spe-
cific brain area. With the same kind of simulations as in
[1], but additionally considering stimulation conditions for
synchronous temporal coding, we show that bidirectional
connections are still possible. Furthermore we discuss the
influence of synchronization precision and oscillatory
activity.
Author details
1Institute of Neural Information Processing, Ulm University, 89069 Ulm,
Germany. 2Honda Research Institute EU, 63073 Offenbach/Main, Germany.
Published: 18 July 2011
References
1. Clopath C, Büsing L, Vasilaki E, Gerstner W: Connectivity reflects coding: a
model of voltage-based STDP with homeostasis. Nature Neuroscience
2010, 13:344-352.
2. Gerstner W, Kempter R, Van Hemmen L: A neuronal learning rule for sub-
millisecond temporal coding. Nature 1996, 383:76-81.
3. Song S, Abbott LF: Cortical development and remapping through spike
timing-dependent plasticity. Neuron 2001, 32:339-350.
4. Lubenov E, Siapas A: Decoupling through synchrony in neuronal circuits
with propagation delays. Neuron 2008, 58:118-131.
5. Hauser F, Knoblauch A, Palm G: A simulation study on different STDP
models concerning localized gamma oscillations. Nature Precedings
Conference Abstract: Computational and systems neuroscience 2011.
doi:10.1186/1471-2202-12-S1-P247
Cite this article as: Hauser et al.: Different neural codes result in
bidirectional connectivity formed by the same model of spike-timing-
dependent plasticity. BMC Neuroscience 2011 12(Suppl 1):P247.
Submit your next manuscript to BioMed Central
and take full advantage of: 
• Convenient online submission
• Thorough peer review
• No space constraints or color figure charges
• Immediate publication on acceptance
• Inclusion in PubMed, CAS, Scopus and Google Scholar
• Research which is freely available for redistribution
Submit your manuscript at 
www.biomedcentral.com/submit
* Correspondence: florian.hauser@uni-ulm.de
1Institute of Neural Information Processing, Ulm University, 89069 Ulm,
Germany
Full list of author information is available at the end of the article
Hauser et al. BMC Neuroscience 2011, 12(Suppl 1):P247
http://www.biomedcentral.com/1471-2202/12/S1/P247
© 2011 Hauser et al; licensee BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons
Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in
any medium, provided the original work is properly cited.


Connectivity reflects coding: a model of voltage-based STDP with homeostasis. Nature Neuroscience

Hemmen L: A neuronal learning rule for submillisecond temporal coding. Nature

LF: Cortical development and remapping through spike timing-dependent plasticity. Neuron

Siapas A: Decoupling through synchrony in neuronal circuits with propagation delays. Neuron

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Different neural codes result in bidirectional connectivity formed by the same model of spike-timing-dependent plasticity

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