no code implementations • 21 May 2022 • Ganchao Wei, Ian H. Stevenson, XiaoJing Wang
To identify populations directly related to neural activity, we develop a clustering method based on a mixture of dynamic Poisson factor analyzers (mixDPFA) model, with the number of clusters and dimension of latent factors for each cluster treated as unknown parameters.
no code implementations • 1 May 2022 • Ganchao Wei, Ian H. Stevenson
The CMP distribution can flexibly describe firing patterns that are both under- and over-dispersed relative to the Poisson distribution.
1 code implementation • 2 Feb 2021 • Ganchao Wei, Ian H. Stevenson
Using simulations, we first show that this model can accurately recover time-varying synaptic weights 1) for both depressing and facilitating synapses, 2) with a variety of long-term changes (including realistic changes, such as due to STDP), 3) with a range of pre- and post-synaptic firing rates, and 4) for both excitatory and inhibitory synapses.