"Network models predict that pyramidal neuron hyperexcitability
and synapse loss in the dlPFC lead to age-related spatial working
memory impairment in rhesus monkeys"
by Sara Ibañez, Jennifer I.
Luebke, Wayne Chang, Danel Draguljić, and Christina M. Weaver.
Frontiers in Computational Neuroscience 2020.
a network maintaining persistent activity tuned to the stimulus location until the end of the delay,
and a partially over-excited network (all excitatory cells start firing at the same rate),
for 3 different values of the “excitability parameter”, vce. This parameter controls the "slope" of the f-I curve for the individual neurons. That is, their firing activity for each input current.
DRST (spatial) model Simple model of the Delayed Recognition Span Task (in the spatial condition) based on the Delayed Response Task setup (with bump attractor dynamics). The network is an excitatory-inhibitory network of the prefrontal cortex with 640 excitatory neurons and 160 inhibitory neurons with short-term synaptic facilitation in the excitatory synapses of the excitatory neurons. Model neurons described by the firing-rate model. The model (about 20 seconds of run time) will generate examples of “young”,
“middle-aged”
and “aged” networks
described by the excitability parameter vce.