Cargando…
An Overview of Bayesian Methods for Neural Spike Train Analysis
Neural spike train analysis is an important task in computational neuroscience which aims to understand neural mechanisms and gain insights into neural circuits. With the advancement of multielectrode recording and imaging technologies, it has become increasingly demanding to develop statistical too...
Autor principal: | Chen, Zhe |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2013
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3855941/ https://www.ncbi.nlm.nih.gov/pubmed/24348527 http://dx.doi.org/10.1155/2013/251905 |
Ejemplares similares
-
Modeling and Analysis of Neural Spike Trains
por: Wu, Wei, et al.
Publicado: (2014) -
Bayesian entropy estimators for spike trains
por: Park, Il Memming, et al.
Publicado: (2013) -
Signal Processing for Neural Spike Trains
por: Berger, Theodore W., et al.
Publicado: (2010) -
Overview of Spiking Neural Network Learning Approaches and Their Computational Complexities
por: Pietrzak, Paweł, et al.
Publicado: (2023) -
Bayesian continual learning via spiking neural networks
por: Skatchkovsky, Nicolas, et al.
Publicado: (2022)