Computational modeling of long-term depression of synaptic weights: insights from STDP, metaplasticity and spontaneous activity

Title:

Computational modeling of long-term depression of synaptic weights: insights from STDP, metaplasticity and spontaneous activity

Creator:

Beňušková , Lubica and Jedlička, Peter

Identifier:

https://cdk.lib.cas.cz/client/handle/uuid:3a48df63-73ac-4b66-ba9b-83d0d5cd663f
uuid:3a48df63-73ac-4b66-ba9b-83d0d5cd663f
doi:10.14311/NNW.2012.22.010

Subject:

LTP, LTD, STDP, metaplasticity, and spontaneous activity

Type:

model:article and TEXT

Format:

bez média and svazek

Description:

Using the STDP rule with metaplasticity, we show that to evoke long-term depression (LTD) or depotentiation of synaptic weights in the spiking model of granule cell is not easy. This is in accordance with a number of experimental studies. On the other hand, heterosynaptic LTD which accompanies homosynaptic long-term potentiation (LTP) is induced readily both in the model as well as in experiments. We offer possible explanation of these phenomena from STDP, metaplasticity and spontaneous activity. We suggest conditions under which it would be possible to induce homosynaptic LTD and depotentiation.

Language:

English

Rights:

http://creativecommons.org/publicdomain/mark/1.0/
policy:public

Source:

Neural network world: international journal on neural and mass-parallel computing and information systems | 2012 Volume:22 | Number:2

Harvested from:

CDK

Metadata only:

false