Details

Autor(en) / Beteiligte

• Sheikhattar, Alireza
• Sorooshyari, Siamak K.
• Babadi, Behtash

Titel

An autoregressive approach to inference in populations of correlated stochastic neurons

Ist Teil von

• 2017 51st Asilomar Conference on Signals, Systems, and Computers, 2017, p.2020-2024

Ort / Verlag

IEEE

Erscheinungsjahr

2017

Quelle

IEEE Electronic Library Online

Beschreibungen/Notizen

• In this paper, we study the correlated neuronal activity caused by afferent inputs from distinct and common population of pre-synaptic neurons. We present a method based on the integration of the expectation-maximization algorithm, Kalman filtering and backward smoothing in order to estimate the parameters associated with pre-synaptic activity and the latent common inputs from post-synaptic measurements. We provide simulation results that validate the performance of the proposed methodology in terms of parameter estimation and tracking the dynamics of the common pre-synaptic inputs.