Scholar
Shahab Bakhtiari
Google Scholar ID: f_JDOhEAAAAJ
Univrsité de Montréal
Citations & Impact
Citations
289
H-index
7
i10-index
6
Publications
20
Co-authors
8
list available
Contact
No contact links provided.
Publications
Resume (English only)
Academic Achievements
- The objectives are to discover the computational principles underlying learning and development in the visual system; develop brain-like, lifelong learning algorithms for AI that can continuously improve and adapt over time; and train the next generation of NeuroAI scientists who will bridge the gap between AI and systems neuroscience.
Research Experience
- A multifaceted approach is used, including neuronal and behavioral data from different species (via collaborations and publicly available data), physics engines simulating the ecological environment of different species, and artificial neural networks and deep learning.
Background
- Research interests include understanding the algorithmic and neuronal principles underlying visual processing and learning in animals, and leveraging these principles to develop more brain-like artificial intelligence.
