Learning by the Dendritic Prediction of Somatic Spiking

Urbanczik, Robert; Senn, Walter (2014). Learning by the Dendritic Prediction of Somatic Spiking. Neuron, 81(3), pp. 521-528. Cell Press 10.1016/j.neuron.2013.11.030

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Recent modeling of spike-timing-dependent plasticity indicates that plasticity involves as a third factor a local dendritic potential, besides pre- and postsynaptic firing times. We present a simple compartmental neuron model together with a non-Hebbian, biologically plausible learning rule for dendritic synapses where plasticity is modulated by these three factors. In functional terms, the rule seeks to minimize discrepancies between somatic firings and a local dendritic potential. Such prediction errors can arise in our model from stochastic fluctuations as well as from synaptic input, which directly targets the soma. Depending on the nature of this direct input, our plasticity rule subserves supervised or unsupervised learning. When a reward signal modulates the learning rate, reinforcement learning results. Hence a single plasticity rule supports diverse learning paradigms.

Item Type:

Journal Article (Original Article)

Division/Institute:

04 Faculty of Medicine > Pre-clinic Human Medicine > Institute of Physiology
10 Strategic Research Centers > Center for Cognition, Learning and Memory (CCLM)

UniBE Contributor:

Urbanczik, Robert and Senn, Walter

Subjects:

600 Technology > 610 Medicine & health
500 Science > 570 Life sciences; biology

ISSN:

0896-6273

Publisher:

Cell Press

Funders:

[4] Swiss National Science Foundation

Projects:

[UNSPECIFIED] Neurochoice (SystemsX.ch)
[UNSPECIFIED] SNSF (personal grant WS)

Language:

English

Submitter:

Stefan von Känel-Zimmermann

Date Deposited:

02 Jun 2014 16:35

Last Modified:

20 Jun 2016 09:49

Publisher DOI:

10.1016/j.neuron.2013.11.030

BORIS DOI:

10.7892/boris.42829

URI:

https://boris.unibe.ch/id/eprint/42829

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