Selectivity and Metaplasticity in a Unified Calcium-Dependent Model
Abstract
A uni(cid:12)ed, biophysically motivated Calcium-Dependent Learning model has been shown to account for various rate-based and spike time-dependent paradigms for inducing synaptic plasticity. Here, we investigate the properties of this model for a multi-synapse neuron that receives inputs with di(cid:11)erent spike-train statistics. In addition, we present a physiological form of metaplasticity, an activity-driven regulation mechanism, that is essential for the ro- bustness of the model. A neuron thus implemented develops stable and selective receptive (cid:12)elds, given various input statistics
Cite
Text
Yeung et al. "Selectivity and Metaplasticity in a Unified Calcium-Dependent Model." Neural Information Processing Systems, 2002.Markdown
[Yeung et al. "Selectivity and Metaplasticity in a Unified Calcium-Dependent Model." Neural Information Processing Systems, 2002.](https://mlanthology.org/neurips/2002/yeung2002neurips-selectivity/)BibTeX
@inproceedings{yeung2002neurips-selectivity,
title = {{Selectivity and Metaplasticity in a Unified Calcium-Dependent Model}},
author = {Yeung, Luk Chong and Blais, Brian S. and Cooper, Leon N. and Shouval, Harel Z.},
booktitle = {Neural Information Processing Systems},
year = {2002},
pages = {261-268},
url = {https://mlanthology.org/neurips/2002/yeung2002neurips-selectivity/}
}