Shahab Bakhtiari, Université de Montréal

Research

Artificial neural networks Computational modeling Deep learning Evolution NeuroAI Perception Visual cortex Visual learning

Latest papers

Asymmetric stimulus representations bias visual perceptual learning.
Journal of vision · 2024 · senior author
Energy efficiency as a normative account for predictive coding.
Patterns (New York, N.Y.) · 2022 · first author
Training with optic flow stimuli promotes recovery in cortical blindness.
Restorative neurology and neuroscience · 2022

All 6 publications

Latest funding

Predicting Cochlear Implant Outcomes through Multimodal Neuroimaging and Machine Learning Approaches
CIHR · 2025 · Co-investigator
$520,200
An optimization framework for comparative, multi-species studies of visual systems
NSERC · 2023 · Principal investigator
$66,000
An optimization framework for comparative, multi-species studies of visual systems
NSERC · 2023 · Principal investigator
$12,500

All 3 grants and awards

6 publications.

01

Asymmetric stimulus representations bias visual perceptual learning.

Laamerad P, Awada A, Pack CC, Bakhtiari S

Journal of vision2024Senior author

DOI: 10.1167/jov.24.1.10 PMID: 38285454

02

Energy efficiency as a normative account for predictive coding.

Bakhtiari S

Patterns (New York, N.Y.)2022First author

DOI: 10.1016/j.patter.2022.100661 PMID: 38283565

03

Training with optic flow stimuli promotes recovery in cortical blindness.

Awada A, Bakhtiari S, Legault C, Odier C, Pack CC

Restorative neurology and neuroscience2022

DOI: 10.3233/rnn-211223 PMID: 35213337

04

Visual perceptual learning generalizes to untrained effectors.

Awada A, Bakhtiari S, Pack CC

Journal of vision2021

DOI: 10.1167/jov.21.3.10 PMID: 33683287

05

The Role of the Subthalamic Nucleus in Inhibitory Control of Oculomotor Behavior in Parkinson's Disease.

Bakhtiari S, Altinkaya A, Pack CC, Sadikot AF

Scientific reports2020First author

DOI: 10.1038/s41598-020-61572-4 PMID: 32214128

06

Can Deep Learning Model Perceptual Learning?

Bakhtiari S

The Journal of neuroscience : the official journal of the Society for Neuroscience2019First author

DOI: 10.1523/jneurosci.2209-18.2018 PMID: 30626723

Predicting Cochlear Implant Outcomes through Multimodal Neuroimaging and Machine Learning Approaches

Co-investigatorCIHR2025Project Grant

Principal investigators: Lepore, Franco

Keywords: Auditory Impairment; Cochlear Implants (Cis); Cognitive Assessments; Cortical Plasticity; Cross-Modal Reorganization; Electroencephalography (Eeg); Functional Magnetic Resonance Imaging (Mri/Fmri); Machine Learning (Ml); Near-Infrared Spectroscopy (Fnirs); Rehabilitation

$520,200

An optimization framework for comparative, multi-species studies of visual systems

Principal investigatorNSERC2023Discovery Grants Program - Individual

Principal investigators: Bakhtiari, Shahab

Keywords: visual systems; evolution; visual cortex; artificial neural networks; deep learning; visual learning; neuroai; perception; computational modeling

$66,000

An optimization framework for comparative, multi-species studies of visual systems

Principal investigatorNSERC2023Discovery Launch Supplement

Principal investigators: Bakhtiari, Shahab

$12,500

From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.

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Applying for

Paper to mentionMention their NSERC grant from 2023

Subject: Prospective PhD student: Artificial neural networks Dear Professor Bakhtiari, My name is [your name], and I am a [your current degree or role] at [your institution]. I am applying for a PhD position starting in [term and year]. I read your paper "Asymmetric stimulus representations bias visual perceptual learning." (2024), and it connects closely to my own work on [your research topic]. [One or two sentences on what you did and what you learned.] I also saw your NSERC-funded project "An optimization framework for comparative, multi-species studies of visual systems" (2023), and I would be glad to contribute to work in that direction. Are you accepting new PhD students for [term and year]? I have attached my CV and transcripts, and I would be glad to talk at a time that suits you. Thank you for your time. Kind regards, [your name]