4 papers
Estimating Dimensionality of Neural Representations from Finite Samples
Chanwoo Chun, Abdulkadir Canatar, SueYeon Chung +1
The global dimensionality of a neural representation manifold provides rich insight into the computational process underlying both artificial and biological neural networks. Howeve…
Spectral Analysis of Representational Similarity with Limited Neurons
Hyunmo Kang, Abdulkadir Canatar, SueYeon Chung
Understanding representational similarity between neural recordings and computational models is essential for neuroscience, yet remains challenging to measure reliably due to the c…
Statistical Mechanics of Support Vector Regression
Abdulkadir Canatar, SueYeon Chung
A key problem in deep learning and computational neuroscience is relating the geometrical properties of neural representations to task performance. Here, we consider this problem f…
Estimating Neural Representation Alignment from Sparsely Sampled Inputs and Features
Chanwoo Chun, Abdulkadir Canatar, SueYeon Chung +1
In both artificial and biological systems, the centered kernel alignment (CKA) has become a widely used tool for quantifying neural representation similarity. While current CKA est…