Seyed-Mahdi Khaligh-Razavi

Interests

Understanding the human visual system using non-invasive brain imaging methods, and developing computational models of object recognition.

Research Focus

Keywords

object recognition

fMRI

inferior temporal (IT)

computer vision

ventral visual pathway

Clinical conditions

Alzheimer's disease

Dementia

Equipment

Behavioural analysis

Computational modelling

Magnetic resonance imaging (MRI)

Collaborators

International

Reza Ebrahimpour Web: http://www.ipm.ac.ir/persona...

Masoud Ghodrati Web: https://sites.google.com/site/ma...

Linda Henriksson Web: http://ltl.tkk.fi/wiki/Li...

Associated News Items


    Publications

    2014

    Ghodrati M, Farzmahdi A, Rajaei K, Ebrahimpour R, Khaligh-Razavi S-M (2014), “Feedforward Object-Vision Models Only Tolerate Small Image Variations Compared to Human” Frontiers in Computational Neuroscience 8:74

    Khaligh-Razavi S-M (2014), “What you need to know about the state-of-the-art computational models of object-vision: A tour through the models” arXiv preprint arXiv:1407.2776

    Khaligh-Razavi SM, Kriegeskorte N (2014), “Deep Supervised, but Not Unsupervised, Models May Explain IT Cortical Representation.” PLoS Comput Biol 10(11):e1003915 Details

    Thomas Carlson, Seyed Khaligh-Razavi, Nikolaus Kriegeskorte (2014), “What is the nature of the decodable neuromagnetic signal? MEG, Models, and Perception.” Journal of Vision 14(10):585-585

    Zabbah S, Rajaei K, Mirzaei A, Ebrahimpour R, Khaligh-Razavi SM (2014), “The impact of the lateral geniculate nucleus and corticogeniculate interactions on efficient coding and higher-order visual object processing.” Vision Res 101C:82-93 Details

    2013

    Henriksson L, Khaligh-Razavi S-M, Kriegeskorte N (2013), “Population-code representations of natural images across human visual areas” Journal of Vision 13(9):1035-1035

    Khaligh-Razavi S-M, Kriegeskorte N (2013), “Object-vision models that better explain IT also categorize better, but all models fail at both” COSYNE. Salt Lake City, UT

    Mirzaei A, Khaligh-Razavi SM, Ghodrati M, Zabbah S, Ebrahimpour R (2013), “Predicting the human reaction time based on natural image statistics in a rapid categorization task.” Vision Res 81:36-44 Details

    2012

    Ghodrati M, Khaligh-Razavi SM, Ebrahimpour R, Rajaei K, Pooyan M (2012), “How can selection of biologically inspired features improve the performance of a robust object recognition model?” PLoS One 7(2):e32357 Details

    Rajaei K, Khaligh-Razavi SM, Ghodrati M, Ebrahimpour R, Shiri Ahmad Abadi ME (2012), “A stable biologically motivated learning mechanism for visual feature extraction to handle facial categorization.” PLoS One 7(6):e38478 Details