Arash Akbarinia

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Alter Steinbacher Weg 38

Giessen D-35394, Germany

+49 641 99 26137

I am a research scientist at the Department of Psychology, Justus-Liebig Giessen University.

I wonder what makes us different from robots. We’re intelligent biological animals with an immense imaginative perceptual capability. Machines match this intelligence on various isolated functions and I believe, soon, they reach our creative perception. That’s my research interest.

I work in this multidisciplinary domain of brains, minds and machines, aiming to answer how complex behaviour arises from neuronal activity. I compare the neural networks of two organisations: biological versus artificial.

My focus is visual information processing: oscillating in-between psychophysics of visual perception and computational modelling of vision

news

Oct 30, 2024 My first single-author article Exploring the categorical nature of colour perception: Insights from artificial networks is out in Neural Networks.
Aug 7, 2024 I have been invited to present an online talk at the Optica Vision and Color Summer Data Blast.
Jul 9, 2024 Giving a talk on Artificial Neural Networks and Perceptual Colour Spaces at ICVS.

selected publications

  1. eeg_ides.png
    Optimising EEG decoding with refined sampling and multimodal feature integration
    Arash Akbarinia
    arXiv, Oct 2024
  2. colour_categories.png
    Exploring the Categorical Nature of Colour Perception: Insights from Artificial Networks
    Arash Akbarinia
    Neural Networks, Sep 2024
  3. csf.png
    Contrast sensitivity function in deep networks
    Arash Akbarinia, Yaniv Morgenstern, and Karl R. Gegenfurtner
    Neural Networks, Sep 2023
  4. pami_dog_thumbnail.png
    Colour constancy beyond the classical receptive field
    Arash Akbarinia, and C Alejandro Parraga
    IEEE Transactions on Pattern Analysis and Machine Intelligence, Sep 2017