8 citations · 8 across the 4 of their papers we have counts for
4 papers
OmniMouse: Scaling properties of multi-modal, multi-task Brain Models on 150B Neural Tokens
Konstantin F. Willeke, Polina Turishcheva, Alex Gilbert +18
Scaling data and artificial neural networks has transformed AI, driving breakthroughs in language and vision. Whether similar principles apply to modeling brain activity remains un…
Can deep learning match the efficiency of human visual long-term memory in storing object details?
A. Emin Orhan
Humans have a remarkably large capacity to store detailed visual information in long-term memory even after a single exposure, as demonstrated by classic experiments in psychology.…
Two-argument activation functions learn soft XOR operations like cortical neurons
Kijung Yoon, Emin Orhan, Juhyun Kim +1
Neurons in the brain are complex machines with distinct functional compartments that interact nonlinearly. In contrast, neurons in artificial neural networks abstract away this com…
A Simple Cache Model for Image Recognition
A. Emin Orhan
Training large-scale image recognition models is computationally expensive. This raises the question of whether there might be simple ways to improve the test performance of an alr…