Kei Majima

Cognitive Neuroscience · 2017–2022

A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Cognitive Neuroscience — 29 citations into it
• Computer Vision and Pattern Recognition — 12 citations into it

Whom Kei Majima trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Nancy Kanwisher
2. Tomoyasu Horikawa
3. Aravindh Mahendran
4. Zoe Kourtzi

Papers from Kei Majima's perspective

Ordered by how strongly the researchers Kei Majima trusts endorse each paper. Same corpus, a different order for every researcher.

1. Understanding deep image representations by inverting them
2. Image Style Transfer Using Convolutional Neural Networks
3. ImageNet classification with deep convolutional neural networks
4. Using goal-driven deep learning models to understand sensory cortex
5. Cortical Regions Involved in Perceiving Object Shape
6. The Fusiform Face Area: A Module in Human Extrastriate Cortex Specialized for Face Perception
7. On the momentum term in gradient descent learning algorithms
8. Neural Encoding and Decoding with Deep Learning for Dynamic Natural Vision (Cerebral Cortex)
9. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Decoding distributed oscillatory signals driven by memory and perception in the prefrontal cortex. (2022)
• Deep image reconstruction from human brain activity (2017) — 359 citations