• 39 Citations
  • 4 h-Index
20112019

Research output per year

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Personal profile

Biography

I have two research goals: to understand how the visual world is represented in the human brain and how subjective goals (as implemented by attention or task-related mechanisms) affect visual processing in the brain.

In my PhD, I investigated visual object representation using behavioral, electrophysiological (EEG) and computational approaches. My research suggested that: (1) visual information about objects is decodable from EEG amplitude rather than variability; (2) feed-forward visual mechanisms of the brain compensate for affine rather than non-affine variations in object recognition; and (3) as opposed to computational vision models, the brain relies on consistent features across variations to recognize objects.

To approach my second goal of exploring the role of attention, I recently took up a postdoctoral fellowship at Macquarie University to work with A/Professor Anina Rich and Dr Alexandra Woolgar on ARC funded projects on the neural correlates of attention. This will allow me to explore the influence of attention on the representation of objects using novel decoding approaches and innovative analyses of fMRI and MEG data. Specifically, I am investigating how attention is implemented in the brain and how information coding changes during attention lapses in experiments inspired by real-world challenges to attention (e.g. the monitoring tasks of train controllers).

Education/Academic qualification

Electrical Engineering, PhD, Shahid Rajaee University

Biomedical Engineering, MSc, Iran University of Science and Technology

Electrical Engineering, BSc, Shahid Rajaee University

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Research Outputs

  • 39 Citations
  • 4 h-Index
  • 7 Article

Spatiotemporal analysis of category and target-related information processing in the brain during object detection

Karimi-Rouzbahani, H., Vahab, E., Ebrahimpour, R. & Menhaj, M. B., 19 Apr 2019, In : Behavioural Brain Research. 362, p. 224-239 16 p.

Research output: Contribution to journalArticle

  • 1 Citation (Scopus)
    Open Access
    File
  • 1 Citation (Scopus)
    16 Downloads (Pure)

    Average activity, but not variability, is the dominant factor in the representation of object categories in the brain

    Karimi-Rouzbahani, H., Bagheri, N. & Ebrahimpour, R., 27 Mar 2017, In : Neuroscience. 346, p. 14-28 15 p.

    Research output: Contribution to journalArticle

  • 6 Citations (Scopus)

    Hard-wired feed-forward visual mechanisms of the brain compensate for affine variations in object recognition

    Karimi-Rouzbahani, H., Bagheri, N. & Ebrahimpour, R., 4 May 2017, In : Neuroscience. 349, p. 48-63 16 p.

    Research output: Contribution to journalArticle

  • 5 Citations (Scopus)

    Invariant object recognition is a personalized selection of invariant features in humans, not simply explained by hierarchical feed-forward vision models

    Karimi-Rouzbahani, H., Bagheri, N. & Ebrahimpour, R., 31 Oct 2017, In : Scientific Reports. 7, 1, p. 1-24 24 p., 14402.

    Research output: Contribution to journalArticle

    Open Access
    File
  • 6 Citations (Scopus)
    8 Downloads (Pure)