2 papers
q-bio.NC2025
Storing overlapping associative memories on latent manifolds in low-rank spiking networks
William F. Podlaski, Christian K. Machens
Associative memory architectures such as the Hopfield network have long been important conceptual and theoretical models for neuroscience and artificial intelligence. However, tran…
stat.ML2024
Fast Multi-Group Gaussian Process Factor Models
Evren Gokcen, Anna I. Jasper, Adam Kohn +2
Gaussian processes are now commonly used in dimensionality reduction approaches tailored to neuroscience, especially to describe changes in high-dimensional neural activity over ti…