[HTML][HTML] Connectivity inference from neural recording data: Challenges, mathematical bases and research directions
This article presents a review of computational methods for connectivity inference from
neural activity data derived from multi-electrode recordings or fluorescence imaging. We first …
neural activity data derived from multi-electrode recordings or fluorescence imaging. We first …
Connectivity Inference from Neural Recording Data: Challenges, Mathematical Bases and Research Directions
IM de Abril, J Yoshimoto, K Doya - arXiv preprint arXiv:1708.01888, 2017 - arxiv.org
This article presents a review of computational methods for connectivity inference from
neural activity data derived from multi-electrode recordings or fluorescence imaging. We first …
neural activity data derived from multi-electrode recordings or fluorescence imaging. We first …
Connectivity inference from neural recording data: Challenges, mathematical bases and research directions
IM de Abril, J Yoshimoto, K Doya - Neural Networks, 2018 - pure.fujita-hu.ac.jp
抄録 This article presents a review of computational methods for connectivity inference from
neural activity data derived from multi-electrode recordings or fluorescence imaging. We first …
neural activity data derived from multi-electrode recordings or fluorescence imaging. We first …
Connectivity inference from neural recording data: Challenges, mathematical bases and research directions
IM de Abril, J Yoshimoto… - Neural networks: the …, 2018 - pubmed.ncbi.nlm.nih.gov
This article presents a review of computational methods for connectivity inference from
neural activity data derived from multi-electrode recordings or fluorescence imaging. We first …
neural activity data derived from multi-electrode recordings or fluorescence imaging. We first …
[PDF][PDF] Connectivity inference from neural recording data: Challenges, mathematical bases and research directions
I Magrans, KD Yoshimoto - Neural Networks, 2018 - core.ac.uk
abstract This article presents a review of computational methods for connectivity inference
from neural activity data derived from multi-electrode recordings or fluorescence imaging …
from neural activity data derived from multi-electrode recordings or fluorescence imaging …
Connectivity inference from neural recording data: Challenges, mathematical bases and research directions.
I Magrans de Abril, J Yoshimoto, K Doya - Neural Networks, 2018 - psycnet.apa.org
This article presents a review of computational methods for connectivity inference from
neural activity data derived from multi-electrode recordings or fluorescence imaging. We first …
neural activity data derived from multi-electrode recordings or fluorescence imaging. We first …
Connectivity inference from neural recording data: Challenges, mathematical bases and research directions.
I Magrans de Abril, J Yoshimoto… - Neural Networks: the …, 2018 - europepmc.org
This article presents a review of computational methods for connectivity inference from
neural activity data derived from multi-electrode recordings or fluorescence imaging. We first …
neural activity data derived from multi-electrode recordings or fluorescence imaging. We first …
Connectivity inference from neural recording data:: Challenges, mathematical bases and research directions
I Magrans de Abril, J Yoshimoto, K Doya - 2018 - dl.acm.org
This article presents a review of computational methods for connectivity inference from
neural activity data derived from multi-electrode recordings or fluorescence imaging. We first …
neural activity data derived from multi-electrode recordings or fluorescence imaging. We first …
Connectivity inference from neural recording data: Challenges, mathematical bases and research directions
I Magrans de Abril, J Yoshimoto, K Doya - 2018 - oist.repo.nii.ac.jp
abstract This article presents a review of computational methods for connectivity inference
from neural activity data derived from multi-electrode recordings or fluorescence imaging …
from neural activity data derived from multi-electrode recordings or fluorescence imaging …
Connectivity inference from neural recording data: Challenges, mathematical bases and research directions
MA Ildefons, Y Junichiro, D Kenji - Neural Networks, 2018 - cir.nii.ac.jp
抄録 This article presents a review of computational methods for connectivity inference from
neural activity data derived from multi-electrode recordings or fluorescence imaging. We first …
neural activity data derived from multi-electrode recordings or fluorescence imaging. We first …