Stockholm university

Annika AnderssonPhD Student

About me

I am a PhD student in psychology, specializing in cognitive neuroscience. My project involves working memory (WM) and focuses on characterizing the flexibility, degeneration and neural correlates of working memory performance in WM tasks. The project is analyzing both behavioural data and data collected with the brain measurement technique called functional magnetic resonance imaging (fMRI). Finally, the project will use the data to create computational models of working memory.

I also partiallty work with Stefan Wiens on projects focusing on characterizing the neural correlates of consciousness with electroencephalography (EEG), analyzing event-related potentials (ERPs).

Supervisor: Rita Almeida (Stockholm University). Co-supervisors: Ronald van den Berg (Stockholm University) och Mikael Lundqvist (Karolinska Institute).

Publications

A selection from Stockholm University publication database

  • Neural electrophysiological correlates of detection and identification awareness

    2023. Stefan Wiens, Annika Andersson, Josef Gravenfors. Cognitive, Affective, & Behavioral Neuroscience 23, 1303-1321

    Article

    Humans have conscious experiences of the events in their environment. Previous research from electroencephalography (EEG) has shown visual awareness negativity (VAN) at about 200 ms to be a neural correlate of consciousness (NCC). However, when considering VAN as an NCC, it is important to explore which particular experiences are associated with VAN. Recent research proposes that VAN is an NCC of lower-level experiences (detection) rather than higher-level experiences (identification). However, previous results are mixed and have several limitations. In the present study, the stimulus was a ring with a Gabor patch tilting either left or right. On each trial, subjects rated their awareness on a three-level perceptual awareness scale that captured both detection (something vs. nothing) and identification (identification vs. something). Separate staircases were used to adjust stimulus opacity to the detection threshold and the identification threshold. Bayesian linear mixed models provided extreme evidence (BF10 = 131) that VAN was stronger at the detection threshold than at the identification threshold. Mean VAN decreased from -2.12 microV [-2.86, -1.42] at detection to -0.46 microV [-0.79, -0.11] at identification. These results strongly support the claim that VAN is an NCC of lower-level experiences of seeing something rather than of higher-level experiences of specific properties of the stimuli. Thus, results are consistent with recurrent processing theory in that phenomenal visual consciousness is reflected by VAN. Further, results emphasize that it is important to consider the level of experience when searching for NCC.

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