Working memory control dynamics follow principles of spatial computing
<jats:title>Abstract</jats:title><jats:p>Working memory (WM) allows us to remember and selectively control a limited set of items. Neural evidence suggests it is achieved by interactions between bursts of beta and gamma oscillations. However, it is not clear how oscillations, refle...
Main Authors: | , , , , , , |
---|---|
Other Authors: | |
Format: | Article |
Language: | English |
Published: |
Springer Science and Business Media LLC
2023
|
Online Access: | https://hdl.handle.net/1721.1/150018 |
_version_ | 1811069515157471232 |
---|---|
author | Lundqvist, Mikael Brincat, Scott L Rose, Jonas Warden, Melissa R Buschman, Timothy J Miller, Earl K Herman, Pawel |
author2 | Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences |
author_facet | Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences Lundqvist, Mikael Brincat, Scott L Rose, Jonas Warden, Melissa R Buschman, Timothy J Miller, Earl K Herman, Pawel |
author_sort | Lundqvist, Mikael |
collection | MIT |
description | <jats:title>Abstract</jats:title><jats:p>Working memory (WM) allows us to remember and selectively control a limited set of items. Neural evidence suggests it is achieved by interactions between bursts of beta and gamma oscillations. However, it is not clear how oscillations, reflecting coherent activity of millions of neurons, can selectively control individual WM items. Here we propose the novel concept of spatial computing where beta and gamma interactions cause item-specific activity to flow spatially across the network during a task. This way, control-related information such as item order is stored in the spatial activity independent of the detailed recurrent connectivity supporting the item-specific activity itself. The spatial flow is in turn reflected in low-dimensional activity shared by many neurons. We verify these predictions by analyzing local field potentials and neuronal spiking. We hypothesize that spatial computing can facilitate generalization and zero-shot learning by utilizing spatial component as an additional information encoding dimension.</jats:p> |
first_indexed | 2024-09-23T08:11:40Z |
format | Article |
id | mit-1721.1/150018 |
institution | Massachusetts Institute of Technology |
language | English |
last_indexed | 2024-09-23T08:11:40Z |
publishDate | 2023 |
publisher | Springer Science and Business Media LLC |
record_format | dspace |
spelling | mit-1721.1/1500182023-04-01T04:04:31Z Working memory control dynamics follow principles of spatial computing Lundqvist, Mikael Brincat, Scott L Rose, Jonas Warden, Melissa R Buschman, Timothy J Miller, Earl K Herman, Pawel Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences <jats:title>Abstract</jats:title><jats:p>Working memory (WM) allows us to remember and selectively control a limited set of items. Neural evidence suggests it is achieved by interactions between bursts of beta and gamma oscillations. However, it is not clear how oscillations, reflecting coherent activity of millions of neurons, can selectively control individual WM items. Here we propose the novel concept of spatial computing where beta and gamma interactions cause item-specific activity to flow spatially across the network during a task. This way, control-related information such as item order is stored in the spatial activity independent of the detailed recurrent connectivity supporting the item-specific activity itself. The spatial flow is in turn reflected in low-dimensional activity shared by many neurons. We verify these predictions by analyzing local field potentials and neuronal spiking. We hypothesize that spatial computing can facilitate generalization and zero-shot learning by utilizing spatial component as an additional information encoding dimension.</jats:p> 2023-03-30T17:02:03Z 2023-03-30T17:02:03Z 2023-03-14 2023-03-30T16:51:45Z Article http://purl.org/eprint/type/JournalArticle https://hdl.handle.net/1721.1/150018 Lundqvist, Mikael, Brincat, Scott L, Rose, Jonas, Warden, Melissa R, Buschman, Timothy J et al. 2023. "Working memory control dynamics follow principles of spatial computing." Nature Communications, 14 (1). en 10.1038/s41467-023-36555-4 Nature Communications Creative Commons Attribution 4.0 International license https://creativecommons.org/licenses/by/4.0/ application/pdf Springer Science and Business Media LLC Nature |
spellingShingle | Lundqvist, Mikael Brincat, Scott L Rose, Jonas Warden, Melissa R Buschman, Timothy J Miller, Earl K Herman, Pawel Working memory control dynamics follow principles of spatial computing |
title | Working memory control dynamics follow principles of spatial computing |
title_full | Working memory control dynamics follow principles of spatial computing |
title_fullStr | Working memory control dynamics follow principles of spatial computing |
title_full_unstemmed | Working memory control dynamics follow principles of spatial computing |
title_short | Working memory control dynamics follow principles of spatial computing |
title_sort | working memory control dynamics follow principles of spatial computing |
url | https://hdl.handle.net/1721.1/150018 |
work_keys_str_mv | AT lundqvistmikael workingmemorycontroldynamicsfollowprinciplesofspatialcomputing AT brincatscottl workingmemorycontroldynamicsfollowprinciplesofspatialcomputing AT rosejonas workingmemorycontroldynamicsfollowprinciplesofspatialcomputing AT wardenmelissar workingmemorycontroldynamicsfollowprinciplesofspatialcomputing AT buschmantimothyj workingmemorycontroldynamicsfollowprinciplesofspatialcomputing AT millerearlk workingmemorycontroldynamicsfollowprinciplesofspatialcomputing AT hermanpawel workingmemorycontroldynamicsfollowprinciplesofspatialcomputing |