Marked point process variational autoencoder with applications to unsorted spiking activities.
Spike train modeling across large neural populations is a powerful tool for understanding how neurons code information in a coordinated manner. Recent studies have employed marked point processes in neural population modeling. The marked point process is a stochastic process that generates a sequenc...
Saved in:
| Main Authors: | Ryohei Shibue, Tomoharu Iwata |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2024-12-01
|
| Series: | PLoS Computational Biology |
| Online Access: | https://doi.org/10.1371/journal.pcbi.1012620 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Research on anomaly detection algorithm based on sparse variational autoencoder using spike and slab prior
by: Huahua CHEN, et al.
Published: (2022-12-01) -
Research on anomaly detection algorithm based on sparse variational autoencoder using spike and slab prior
by: Huahua CHEN, et al.
Published: (2022-12-01) -
Generative autoencoder to prevent overregularization of variational autoencoder
by: YoungMin Ko, et al.
Published: (2025-02-01) -
Research on the Application of Variational Autoencoder in Image Generation
by: Liu Jianing
Published: (2025-01-01) -
Sperm pretreatment with glutathione improves IVF embryos development through increasing the viability and antioxidative capacity of sex-sorted and unsorted bull semen
by: Ting-xi HU, et al.
Published: (2016-10-01)