22 citations · 44 across the 4 of their papers we have counts for
4 papers
Understanding Neural Coding on Latent Manifolds by Sharing Features and Dividing Ensembles
Martin Bjerke, Lukas Schott, Kristopher T. Jensen +3
Systems neuroscience relies on two complementary views of neural data, characterized by single neuron tuning curves and analysis of population activity. These two perspectives comb…
Natural continual learning: success is a journey, not (just) a destination
Ta-Chu Kao, Kristopher T. Jensen, Gido M. van de Ven +2
Biological agents are known to learn many different tasks over the course of their lives, and to be able to revisit previous tasks and behaviors with little to no loss in performan…
Manifold GPLVMs for discovering non-Euclidean latent structure in neural data
Kristopher T. Jensen, Ta-Chu Kao, Marco Tripodi +1
A common problem in neuroscience is to elucidate the collective neural representations of behaviorally important variables such as head direction, spatial location, upcoming moveme…
Modelling Electron Transfers Using Quasidiabatic Hartree-Fock States
Kristopher T. Jensen, Raz L. Benson, Salvatore Cardamone +1
Electron transfer processes are ubiquitous in chemistry and of great importance in many systems of biological and commercial interest. The ab-initio description of these processes…