Abstract
Working memory (WM) is a component of the brain's memory systems vital for interpretation of sequential sensory inputs and consequent decision-making. Anatomically, WM is highly distributed over the prefrontal cortex (PFC) and the parietal cortex (PC). Here we present a biophysically detailed dynamical systems model for a WM buffer situated in the PC, making use of dynamical properties believed to be unique to this area. We show that the natural beta1 rhythm (12-20 Hz) of the PC provides a substrate for an episodic buffer that can synergistically combine executive commands (e.g., from PFC) and multimodal information into a flexible and updatable representation of recent sensory inputs. This representation is sensitive to distractors, it allows for a read-out mechanism, and it can be readily terminated by executive input. The model provides a demonstration of how information can be usefully stored in the temporal patterns of activity in a neuronal network rather than just synaptic weights between the neurons in that network.
Original language | English |
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Journal | Proceedings of the National Academy of Sciences of the United States of America |
Volume | 116 |
Issue number | 33 |
Pages (from-to) | 16613-16620 |
ISSN | 0027-8424 |
DOIs | |
Publication status | Published - 2019 |
Externally published | Yes |