ePoster · Computational Neuroscience
Learning neuronal manifolds for interacting neuronal populations
Akshey Kumar, Moritz Grosse-Wentrup · Bernstein Conference 2024
Understanding how neuronal populations interact to process information and generate behaviour is a central goal of neuroscience. This can be challenging due to the high dimensionality of the neuronal populations, the dense interactions between them and the unobserved factors that influence the dynamics. The neuronal manifold hypothesis tackles high dimensionality by positing that the relevant dynamics occurs on a lower-dimensional manifold. While the neuronal manifold may be useful in visualising global dynamics, it tells us very little about how various subsystems interact to produce these dy