Akshay Jagadeesh

Akshay Jagadeesh

PhD Student

Stanford University

About Me

I am a 4th year PhD student studying vision science at Stanford. My research focuses on understanding what computations the human brain performs to give rise to visual perception and naturalistic behavior. Why are humans so good at certain tasks that artificial neural network models of vision find very difficult but so bad at other tasks which deep neural networks find trivial? I am advised in my doctoral studies by Prof. Justin Gardner.

Prior to graduate school, I was an undergraduate at UC Berkeley, where I worked on decoding object category representations from visual cortex using functional MRI, in the lab of Prof. Mark D’Esposito. From 2015 to 2016, I was a visiting researcher in the lab of Dr. Martin Rolfs at Humboldt Universitat / BCCN Berlin, where I worked on a study examining the effect of feature-based attention on visual working memory.

In addition to research, I am also passionate about teaching and have helped design and teach several courses at both UC Berkeley and Stanford on topics ranging from computer vision to neurobiology to the science of meditation.


  • Computational Neuroscience
  • Vision Science
  • Attention
  • Texture Perception


  • PhD in Psychology, in progress

    Stanford University

  • BA in Computer Science, 2016

    University of California, Berkeley

  • BA in Cognitive Science, 2016

    University of California, Berkeley

Research Areas

Texture Perception

How does the visual system encode textures and objects?

Visual Attention

Attention enhances the resolution of visual perception by altering sensory representations. What are the computations by which the brain selectively prioritizes the encoding of goal-relevant information?

Publications & Presentations

Deep neural network features predict perceptual sensitivity and cortical responses to visual textures

Textures with similar visual features, scrambled locally, can be obviously distinguishable when viewed directly, but metameric (i.e. …

Setting and changing feature priorities in visual short-term memory

Many everyday tasks require prioritizing some visual features over competing ones, both during the selection from the rich sensory …


I was a graduate student instructor for the following courses at Stanford University:

  • Psych 50: Intro to Cognitive Neuroscience

    • Winter 2018, Winter 2019
  • Psych 30: Perception

    • Fall 2017, Fall 2018
  • NEPR 207: Neurosciences Cognitive Core

    • Spring 2019, Spring 2020

In addition, I teach AI to high school students, through the Inspirit AI institute.

Blog Posts

Academic: the website designer for Hugo

Create a beautifully simple website or blog in under 10 minutes.