Skip to content

amirozhan/amirozhan.github.io

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

6 Commits
 
 
 
 
 
 

Repository files navigation

Amirozhan Dehghani

Welcome to my GitHub repository! Here, you will find projects and research contributions spanning neuroscience, artificial intelligence, and computational modeling.


About Me

I am a graduate student in the MSc Physiology - NeuroAI program at Mila/McGill University (January 2025 - January 2027). My research focuses on the intersection of neuroscience and AI, with an emphasis on leveraging artificial neural networks (ANNs) to model and understand cognitive and perceptual processes.

Education

  • MSc Physiology - NeuroAI: Mila/McGill University (2025-2027)
  • BSc Honors Neuroscience: McGill University (2019-2023)

Research Interests

  • Computational neuroscience
  • Artificial neural networks and visual perception
  • Topographical organization and hierarchical modeling in ANNs
  • Visual learning specificity and representational geometry

Notable Projects & Publications

Publications

  • Dehghani A., Bashivan P. (2023): Credit-based self-organization yields cortex-like topography in deep convolutional neural networks. Cosyne Abstracts 2023
  • Dehghani A., Bakhtiari S. (2024): Geometry of representations in artificial neural networks predicts visual learning specificity. Healthy Brains Healthy Lives Symposium

Conferences

  • Computational & System Neuroscience (COSYNE), March 2023
  • Montreal AI & Neuroscience (MAIN), December 2022
  • Unifying Neuroscience and Artificial Intelligence - Quebec (UNIQUE), October 2023

Projects

  • Hierarchical Topographical Deep ANNs: Developed and evaluated deep learning models inspired by lateral connectivity constraints in the visual cortex.
  • Visual Perceptual Learning: Designed ANN-based training tasks to model human perceptual learning.

Skills & Tools

Programming

  • Python (PyTorch, TensorFlow, Keras)
  • MATLAB
  • Bash
  • Java

Frameworks

  • Deep Learning
  • Reinforcement Learning

Other Skills

  • Data analysis and visualization
  • Computational modeling
  • Literature review and academic writing

Leadership & Teaching

  • President, PharmaHacks McGill: Organized PharmaHacks 2023 at Mila, with over 200 participants and +$20,000 in funding.
  • Private Tutor: Taught biology, chemistry, physics, and calculus to undergraduates.

Contact

Feel free to connect with me:


Repository Contents

  • Research projects
  • Code for published papers
  • Tutorials and notebooks for computational neuroscience and AI modeling

About

My website

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages