2021
DOI: 10.1101/2021.07.29.454329
|View full text |Cite
Preprint
|
Sign up to set email alerts
|

An Oscillatory Mechanism for Multi-level Storage in Short-term Memory

Abstract: Oscillatory activity is commonly observed during the maintenance of information in short-term memory, but its role remains unclear. Non-oscillatory models of short-term memory storage are able to encode stimulus identity through their spatial patterns of activity, but are typically limited to either an all-or-none representation of stimulus amplitude or exhibit a biologically implausible exact-tuning condition. Here, we demonstrate a simple phase-locking mechanism by which oscillatory input enables a circuit … Show more

Help me understand this report
View published versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
2

Citation Types

0
2
0

Year Published

2024
2024
2024
2024

Publication Types

Select...
1

Relationship

0
1

Authors

Journals

citations
Cited by 1 publication
(2 citation statements)
references
References 48 publications
0
2
0
Order By: Relevance
“…Single neuron models with bistable dendritic compartments can similarly obtain robust and quantized firing rate sets for short term memory [51]. Recent complementary work has suggested strong and sustained oscillatory input may work similarly [52], providing "staircase" shaped transfer functions in phase-locked states with graded firing rate amplitudes. Alternatively, models with clustered microstructure also produce discretely graded population level firing rates when viewed at macroscale (See Fig.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…Single neuron models with bistable dendritic compartments can similarly obtain robust and quantized firing rate sets for short term memory [51]. Recent complementary work has suggested strong and sustained oscillatory input may work similarly [52], providing "staircase" shaped transfer functions in phase-locked states with graded firing rate amplitudes. Alternatively, models with clustered microstructure also produce discretely graded population level firing rates when viewed at macroscale (See Fig.…”
Section: Introductionmentioning
confidence: 99%
“…We analyze a neural circuit model whose inputfiring rate relationships are staircase shaped, reflecting metastable dynamics observed and derived in a number of prior models [33, 34, 51, 52, 56]. Metastability is conceived as arising from successive activation of neural microclusters with increasing cue salience (Fig.…”
Section: Introductionmentioning
confidence: 99%