| | Models | Description |
| 1. |
Electrostimulation to reduce synaptic scaling driven progression of Alzheimers (Rowan et al. 2014)
|
|
|
"...
As cells die and synapses lose their drive, remaining cells suffer an initial decrease in activity.
Neuronal homeostatic synaptic scaling then provides a feedback mechanism to restore activity.
...
The scaling mechanism increases the firing rates of remaining cells in the network to compensate for decreases in network activity.
However, this effect can itself become a pathology, ...
Here, we present a mechanistic explanation of how directed brain stimulation might be expected to slow AD progression based on computational simulations in a 470-neuron biomimetic model of a neocortical column.
...
" |
| 2. |
Synaptic scaling balances learning in a spiking model of neocortex (Rowan & Neymotin 2013)
|
|
|
Learning in the brain requires complementary mechanisms: potentiation and activity-dependent homeostatic scaling. We introduce synaptic scaling to a biologically-realistic spiking model of neocortex which can learn changes in oscillatory rhythms using STDP, and show that scaling is necessary to balance both positive and negative changes in input from potentiation and atrophy. We discuss some of the issues that arise when considering synaptic scaling in such a model, and show that scaling regulates activity whilst allowing learning to remain unaltered. |
