A model of working memory for encoding multiple items (Ursino et al, in press)

We present an original neural network model, based on oscillating neural masses, to investigate mechanisms at the basis of working memory in different conditions. Simulations show that the trained network is able to desynchronize up to nine items without a fixed order using the gamma rhythm. Moreover, the network can replicate a sequence of items using a gamma rhythm nested inside a theta rhythm. The reduction in some parameters, mainly concerning the strength of GABAergic synapses, induce memory alterations which mimic neurological deficits. Finally, the network, isolated from the external environment simulates an“imagination phase”.

Model Type: Neural mass; Synapse; Realistic Network

Model Concept(s): Gamma oscillations

Simulation Environment: MATLAB

Implementer(s): Ursino, Mauro [mauro.ursino at unibo.it]


Ursino M, Cesaretti N, Pirazzini G. (2022). A model of working memory for encoding multiple items and ordered sequences exploiting the theta-gamma code Cognitive Neurodynamics.

This website requires cookies and limited processing of your personal data in order to function. By continuing to browse or otherwise use this site, you are agreeing to this use. See our Privacy policy and how to cite and terms of use.