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Cited by 369

The DOI matches its Crossref record; 39 of the 39 references it cites were found in a registry or an index.

Spike-Timing-Dependent Plasticity: A Comprehensive Overview

Open access
Markram, H., Gerstner, W., Sjöström, P. J.·2012·Frontiers in Synaptic Neuroscience

Abstract

With STDP, a neuron embedded in a neuronal network can determine which neighboring neurons are worth listening to by potentiating those inputs that predict its own spiking activity.However, the neuron in question pays less attention to those neighboring neurons that fail to do this.In other words, the neuron pays less attention to neighbors speaking gibberish.The net result is that our sample neuron can integrate inputs with predictive power and transform this is into a meaningful predictive output, even though the meaning itself is not strictly known by the neuron.In STDP we thus have a very simple and elegant algorithm for appropriately hooking up neurons in the brain.Little wonder that there has been so much excitement surrounding the discovery of STDP.

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Metadata

Authors
Markram, H., Gerstner, W., & Sjöström, P. J.
Venue
Frontiers in Synaptic Neuroscience
Published
2012
Volume
4
Pages
2-2
ISSN
1663-3563 (ISSN-L)
OpenAlex
W2164610565
Cited by
369
References
39
FWCI
4.32
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Spike-Timing-Dependent Plasticity: A Comprehensive Overview. https://app.cochat.ai/papers/10.3389/fnsyn.2012.00002
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Markram, H., Gerstner, W., & Sjöström, P. J. (2012). Spike-Timing-Dependent Plasticity: A Comprehensive Overview. Frontiers in Synaptic Neuroscience. https://doi.org/10.3389/fnsyn.2012.00002

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.