Uncovering motifs of concurrent signaling across multiple neuronal populations
Modern recording techniques now allow us to record from distinct neuronal populations in
different brain networks. However, especially as we consider multiple (more than two) …
different brain networks. However, especially as we consider multiple (more than two) …
Disentangling the flow of signals between populations of neurons
Technological advances now allow us to record from large populations of neurons across
multiple brain areas. These recordings may illuminate how communication between areas …
multiple brain areas. These recordings may illuminate how communication between areas …
Identification of interacting neural populations: methods and statistical considerations
As improved recording technologies have created new opportunities for neurophysiological
investigation, emphasis has shifted from individual neurons to multiple populations that form …
investigation, emphasis has shifted from individual neurons to multiple populations that form …
Probabilistic orthogonal-signal-corrected principal component analysis
G Lee, E Sim, Y Yoon, K Lee - Knowledge-Based Systems, 2023 - Elsevier
Much attention has been paid to reduce redundancy in data and extract discriminative
features while preserving much of the relevant information. The technique of orthogonal …
features while preserving much of the relevant information. The technique of orthogonal …
Fast Multi-Group Gaussian Process Factor Models
Gaussian processes are now commonly used in dimensionality reduction approaches
tailored to neuroscience, especially to describe changes in high-dimensional neural activity …
tailored to neuroscience, especially to describe changes in high-dimensional neural activity …
Directed spectrum measures improve latent network models of neural populations
N Gallagher, K Dzirasa… - Advances in neural …, 2021 - proceedings.neurips.cc
Abstract Systems neuroscience aims to understand how networks of neurons distributed
throughout the brain mediate computational tasks. One popular approach to identify those …
throughout the brain mediate computational tasks. One popular approach to identify those …
[PDF][PDF] Discovery of Functional Predictivity across Brain Regions from Local Field Potentials
H Bong - 2022 - heejongbong.github.io
Neural recordings from high-density microelectrode arrays yield high-dimensional time-
series observations, simultaneously recorded from multiple brain regions, with good spatial …
series observations, simultaneously recorded from multiple brain regions, with good spatial …
Oscillating neural circuits: Phase, amplitude, and the complex normal distribution
Multiple oscillating time series are typically analyzed in the frequency domain, where
coherence is usually said to represent the magnitude of the correlation between two signals …
coherence is usually said to represent the magnitude of the correlation between two signals …
An efficient annealing-assisted differential evolution for multi-parameter adaptive latent factor analysis
A high-dimensional and incomplete (HDI) matrix is a typical representation of big data.
However, advanced HDI data analysis models tend to have many extra parameters. Manual …
However, advanced HDI data analysis models tend to have many extra parameters. Manual …
Understanding Neural Population Communication with Latent Channels
Experiments in neuroscience often aim to understand how information about a message, eg,
an experimental stimulus, is communicated between neural populations, where each …
an experimental stimulus, is communicated between neural populations, where each …