Arash Akbarinia


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


May 16, 2024 I’ve been invited to give an online talk at today’s Ecuadorian Symposium on Artificial Intelligence.
Nov 20, 2023 I have released osculari: an open source library to explore and interpret pretrained deep neural networks.
Oct 27, 2023 Invited talk about colour perception in artificial networks at Huawei Nice Research Center.

selected publications

  1. csf.png
    Contrast sensitivity function in deep networks
    Arash Akbarinia, Yaniv Morgenstern, and Karl R. Gegenfurtner
    Neural Networks, 2023
  2. colour_conversion.png
    Color Conversion in deep autoencoders
    Arash Akbarinia, and Raquel Gil-Rodrı́guez
    Journal of Perceptual Imaging, 2021
  3. decipher_contrast.png
    Deciphering image contrast in object classification deep networks
    Arash Akbarinia, and Raquel Gil-Rodrı́guez
    Vision Research, 2020
  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, 2017