6 citations · 11 across the 3 of their papers we have counts for
3 papers
stat.ML2023★ 3 cited
Duality of Bures and Shape Distances with Implications for Comparing Neural Representations
Sarah E. Harvey, Brett W. Larsen, Alex H. Williams
A multitude of (dis)similarity measures between neural network representations have been proposed, resulting in a fragmented research landscape. Most of these measures fall into on…
cs.LG2023★ 6 cited
Soft Matching Distance: A metric on neural representations that captures single-neuron tuning
Meenakshi Khosla, Alex H. Williams
Common measures of neural representational (dis)similarity are designed to be insensitive to rotations and reflections of the neural activation space. Motivated by the premise that…
stat.AP2023★ 2 cited
Estimating Noise Correlations Across Continuous Conditions With Wishart Processes
Amin Nejatbakhsh, Isabel Garon, Alex H Williams
The signaling capacity of a neural population depends on the scale and orientation of its covariance across trials. Estimating this "noise" covariance is challenging and is thought…