all AI news
Mesoscopic modeling of hidden spiking neurons. (arXiv:2205.13493v1 [q-bio.NC])
May 27, 2022, 1:11 a.m. | Shuqi Wang, Valentin Schmutz, Guillaume Bellec, Wulfram Gerstner
stat.ML updates on arXiv.org arxiv.org
Can we use spiking neural networks (SNN) as generative models of
multi-neuronal recordings, while taking into account that most neurons are
unobserved? Modeling the unobserved neurons with large pools of hidden spiking
neurons leads to severely underconstrained problems that are hard to tackle
with maximum likelihood estimation. In this work, we use coarse-graining and
mean-field approximations to derive a bottom-up, neuronally-grounded latent
variable model (neuLVM), where the activity of the unobserved neurons is
reduced to a low-dimensional mesoscopic description. In …
More from arxiv.org / stat.ML updates on arXiv.org
Jobs in AI, ML, Big Data
Senior ML Researcher - 3D Geometry Processing | 3D Shape Generation | 3D Mesh Data
@ Promaton | Europe
Analytics Engineer
@ CircleCI | Remote (US), Remote (Canada), San Francisco, Denver
Bilingual Executive Assistant/Data Analyst - (French and English) - Export
@ Dangote Group | Lagos, Lagos, Nigeria
Workday Services Data Lead
@ WPP | Mexico City, Mexico
Business Data Analyst
@ Nordea | Tallinn, EE, 11415
Data Integrity Lead
@ BioNTech SE | Gaithersburg, MD, US, MD 20878