Stimulus feature-specific information flow along the columnar cortical microcircuit revealed by multivariate laminar spiking analysis

DA Tovar, JA Westerberg, MA Cox… - Frontiers in systems …, 2020 - frontiersin.org
Most of the mammalian neocortex is comprised of a highly similar anatomical structure,
consisting of a granular cell layer between superficial and deep layers. Even so, different …

Circumstantial evidence and explanatory models for synapses in large-scale spike recordings

IH Stevenson - arXiv preprint arXiv:2304.09699, 2023 - arxiv.org
Whether, when, and how causal interactions between neurons can be meaningfully studied
from observations of neural activity alone are vital questions in neural data analysis. Here …

Dynamic Parameter Estimation of Brain Mechanisms

PY Hsu - arXiv preprint arXiv:1909.11899, 2019 - arxiv.org
Demystifying effective connectivity among neuronal populations has become the trend to
understand the brain mechanisms of Parkinson's disease, schizophrenia, mild traumatic …

Temporally Smoothed Wavelet Coherence for Multivariate Point-Processes and Neuron-Firing

AJ Gibberd, EAK Cohen - 2018 52nd Asilomar Conference on …, 2018 - ieeexplore.ieee.org
In neuroscience, it is of key importance to assess how neurons interact with each other as
evidenced via their firing patterns and rates. We here introduce a method of smoothing the …

A computationally efficient method for brain information-theoretic based causality detection using multichannel EEG

M Songhorzadeh, K Ansari-Asl… - 2015 22nd Iranian …, 2015 - ieeexplore.ieee.org
Information flow or causal interaction between neuronal populations of the brain is a critical
issue in describing the dynamics of such a complex network, which can be best described …

Algorithms and bounds for dynamic causal modeling of brain connectivity

SC Wu, AL Swindlehurst - IEEE transactions on signal …, 2013 - ieeexplore.ieee.org
Recent advances in neurophysiology have led to the development of complex dynamical
models that describe the connections and causal interactions between different regions of …

Dynamic organization of visual cortical networks revealed by machine learning applied to massive spiking datasets

C Graber, Y Vlasov, A Schwing - bioRxiv, 2023 - biorxiv.org
Complex cognitive functions in a mammalian brain are distributed across many anatomically
and functionally distinct areas and rely on highly dynamic routing of neural activity across …

Swift Two-sample Test on High-dimensional Neural Spiking Data

ZQJ Xu, D Zhou, D Cai - arXiv preprint arXiv:1811.12314, 2018 - arxiv.org
To understand how neural networks process information, it is important to investigate how
neural network dynamics varies with respect to different stimuli. One challenging task is to …

Uncovering the organization of neural circuits with generalized phase locking analysis

S Safavi, TI Panagiotaropoulos, V Kapoor… - PLOS Computational …, 2023 - journals.plos.org
Despite the considerable progress of in vivo neural recording techniques, inferring the
biophysical mechanisms underlying large scale coordination of brain activity from neural …

Information theoretic measures of causal influences during transient neural events

K Shao, NK Logothetis, M Besserve - Frontiers in Network Physiology, 2023 - frontiersin.org
Introduction: Transient phenomena play a key role in coordinating brain activity at multiple
scales, however their underlying mechanisms remain largely unknown. A key challenge for …