Matrix Algebra ePosters

Neural events are characteristic transient, coordinated neural activities observable in the brain’s aggregate signals, such as local field potentials (LFPs). It was shown that certain neural events, like sharp wave-ripples (SWR) [1], play a crucial role in various cognitive functions, including memory consolidation…

Cortical neurons exhibit rich, time-dependent patterns of activity that are often selective to specific stimuli. From a dynamical systems perspective, such complex activity can be conceptualized as ON/OFF responses, or also as transient amplification. It is still unclear if transient amplification is an artifact of a…

Understanding how connectivity structure shapes network dynamics is paramount in the field of neuroscience. Theoretical investigations of multi-population neuronal networks often consider statistically homogeneous populations and incorporate either only the population-averaged mean or i.i.d. fluctuations in synaptic…

Networks composed of Non-Negative Matrix Factorization (NNMF) [1] modules can serve as abstractions of real neural networks. In particular, NNMF networks can be extended easily to perform computations based on stochastic spikes [2,3]. However, due to training via Autograd approaches following exact gradients to train…