Large-scale neural model of visual short term memory embedded into a 998-node connectome. The model simulates electrical activity across neuronal populations of a number of brain regions and converts that activity into fMRI and MEG time-series. The model uses a neural simulator developed at the Brain Imaging and Modeling Section of the National Institutes of Health.
Model Type: Realistic Network
Region(s) or Organism(s): Prefrontal cortex (PFC)
Model Concept(s): Working memory
Simulation Environment: Python
Implementer(s): Ulloa, Antonio [antonio.ulloa at alum.bu.edu]
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