Scholar
Hossein Adeli
Google Scholar ID: EdIFZpQAAAAJ
Columbia University
Citations & Impact
Citations
335
H-index
11
i10-index
11
Publications
20
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- October 2025 - New preprint: NeuroAdapter: Towards Interpretable Visual Decoding with Attention to Brain Representations
- September 2025 - Paper accepted to NeuRIPS 2025 Spotlight (top 3%): Transformer brain encoders explain human high-level visual responses
- September 2025 - Collaboration paper accepted to NeuRIPS 2025: Meta-Learning an In-Context Transformer Model of Human Higher Visual Cortex
- September 2025 - Paper accepted to NeuRIPS 2025: In Silico Mapping of Visual Categorical Selectivity Across the Whole Brain
- August 2025 - Presented work on NeuroAdapter: Visual Reconstruction with Masked Brain Representation at the Cognitive Computational Neuroscience meeting, Amsterdam
- May 2025 - Talk given at MODVIS 2025 workshop: Capturing the Representational Dynamics of Face Perception in Deep Recurrent Neural Networks
- June 2024 - Paper published in PLOS Computational Biology: The attentive reconstruction of objects facilitates robust object recognition
Research Experience
- Current position as Associate Research Scientist at Kriegeskorte lab, Zuckerman Institute for Brain Mind Behavior, Columbia University. Previously, a Senior Postdoctoral Fellow at the Eye Cognition Lab, Stony Brook University.
Education
- Ph.D. in Cognitive Science from Stony Brook University's Psychology Department; Senior Postdoctoral Fellow at Eye Cognition Lab, Stony Brook University
Background
- Research interests lie at the intersection of neuroscience and AI (Neuro-AI), building encoding models using modern machine learning and deep neural networks that predict neural activity to better understand computations in the brain. These models can also serve as 'digital twins' on which in silico experiments are performed to reveal the selectivity of different units. Additionally, state-of-the-art decoding models are being developed to reconstruct perceived stimuli from brain activity. Studies also focus on how the visual system combines top-down and attention modulations with bottom-up and lateral connectivity to efficiently group visual input into objects and uncover mechanisms of face perception.
Miscellany
- Contact information: ha2366@columbia.edu, hossein.adelijelodar@gmail.com; Links to personal homepage, Google Scholar, GitHub, etc.
Co-authors