In this section
@article{Pedrosa:2017:10.3389/fnsyn.2016.00038,
author = {Pedrosa, V and Clopath, C},
doi = {10.3389/fnsyn.2016.00038},
journal = {Frontiers in Synaptic Neuroscience},
title = {The role of neuromodulators in cortical lasticity. A computational perspective},
url = {http://dx.doi.org/10.3389/fnsyn.2016.00038},
volume = {8},
year = {2017}
}
TY - JOUR
AB - Neuromodulators play a ubiquitous role across the brain in regulating plasticity. With recent advances in experimental techniques, it is possible to study the effects of diverse neuromodulatory states in specific brain regions. Neuromodulators are thought to impact plasticity predominantly through two mechanisms: the gating of plasticity and the upregulation of neuronal activity. However, the consequences of these mechanisms are poorly understood and there is a need for both experimental and theoretical exploration. Here we illustrate how neuromodulatory state affects cortical plasticity through these two mechanisms. First, we explore the ability of neuromodulators to gate plasticity by reshaping the learning window for spike-timing-dependent plasticity. Using a simple computational model, we implement four different learning rules and demonstrate their effects on receptive field plasticity. We then compare the neuromodulatory effects of upregulating learning rate versus the effects of upregulating neuronal activity. We find that these seemingly similar mechanisms do not yield the same outcome: upregulating neuronal activity can lead to either a broadening or a sharpening of receptive field tuning, whereas upregulating learning rate only intensifies the sharpening of receptive field tuning. This simple model demonstrates the need for further exploration of the rich landscape of neuromodulator-mediated plasticity. Future experiments, coupled with biologically detailed computational models, will elucidate the diversity of mechanisms by which neuromodulatory state regulates cortical plasticity.
AU - Pedrosa,V
AU - Clopath,C
DO - 10.3389/fnsyn.2016.00038
PY - 2017///
SN - 1663-3563
TI - The role of neuromodulators in cortical lasticity. A computational perspective
T2 - Frontiers in Synaptic Neuroscience
UR - http://dx.doi.org/10.3389/fnsyn.2016.00038
UR - https://www.ncbi.nlm.nih.gov/pubmed/28119596
UR - http://hdl.handle.net/10044/1/61980
VL - 8
ER -