Princeton University users: to view a senior thesis while away from campus, connect to the campus network via the Global Protect virtual private network (VPN). Unaffiliated researchers: please note that requests for copies are handled manually by staff and require time to process.
 

Publication:

Attractor Dynamics and Variability of Working Memory Performance in Schizophrenia

datacite.rightsrestricted
dc.contributor.advisorBuschman, Timothy J.
dc.contributor.authorDiaz, Natalie C.
dc.date.accessioned2025-08-07T14:47:56Z
dc.date.available2025-08-07T14:47:56Z
dc.date.issued2025-04-25
dc.description.abstractSchizophrenia is a chronic psychiatric disorder characterized by positive and negative symptoms. While recent research has extensively explored working memory deficits in schizophrenia, few studies have investigated how continuous memories evolve within working memory. This study aims to address this gap by investigating how task performance errors and attractor dynamics (stable memory states within mnemonic space) in visual working memory relate to symptom severity in schizophrenia. We used a continuous color report task with varying memory loads (1-3 items) and delay durations (500ms, 4000ms) in 47 individuals with schizophrenia and 33 healthy controls. Results demonstrated that both memory load and delay duration significantly increased angular error, with each additional memory item increasing error by approximately 7 degrees. Mean angular error significantly predicted symptom severity as measured by the Positive and Negative Syndrome Scale (PANSS) (p = 0.0207). Analysis of bias patterns across color space revealed greater variability in individuals with schizophrenia, suggesting possible disrupted attractor dynamics that warrant further research.
dc.identifier.urihttps://theses-dissertations.princeton.edu/handle/88435/dsp01hq37vs04x
dc.language.isoen_US
dc.titleAttractor Dynamics and Variability of Working Memory Performance in Schizophrenia
dc.typePrinceton University Senior Theses
dspace.entity.typePublication
dspace.workflow.startDateTime2025-04-30T18:16:26.789Z
pu.contributor.authorid920252546
pu.date.classyear2025
pu.departmentNeuroscience

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Natalie Diaz Senior Thesis.pdf
Size:
2.19 MB
Format:
Adobe Portable Document Format
Download

License bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
license.txt
Size:
100 B
Format:
Item-specific license agreed to upon submission
Description:
Download