An Information-Theoretic Measure of Multiscale Causality for Spike-Field Activity

C Wang, MM Shanechi - … Conference of the IEEE Engineering in …, 2018 - ieeexplore.ieee.org
Simultaneous recordings of spikes and fields could enable analyses of functional
connectivity in the brain at multiple spatiotemporal scales. However, these analyses require …

Estimating multiscale direct causality graphs in neural spike-field networks

C Wang, MM Shanechi - IEEE Transactions on Neural Systems …, 2019 - ieeexplore.ieee.org
Neural representations span various spatiotemporal scales of brain activity, from the spiking
activity of single neurons to field activity measuring large-scale networks. The simultaneous …

Spike-field Granger causality for hybrid neural data analysis

X Gong, W Li, H Liang - Journal of neurophysiology, 2019 - journals.physiology.org
Neurotechnological innovations allow for simultaneous recording at various scales, ranging
from spiking activity of individual neurons to large neural populations' local field potentials …

Modeling multiscale causal interactions between spiking and field potential signals during behavior

C Wang, B Pesaran, MM Shanechi - Journal of neural …, 2022 - iopscience.iop.org
Objective. Brain recordings exhibit dynamics at multiple spatiotemporal scales, which are
measured with spike trains and larger-scale field potential signals. To study neural …

Estimation of functional dependence in high-dimensional spike-field activity

R Bighamian, MM Shanechi - 2018 40th Annual International …, 2018 - ieeexplore.ieee.org
Behavior is encoded across spatiotemoral scales of brain activity, from small-scale spikes to
large-scale local field potentials (LFP). Identifying the functional dependence between …

Multiscale modeling of dependencies between spikes and fields

H Abbaspourazad, HL Hsieh… - 2017 51st Asilomar …, 2017 - ieeexplore.ieee.org
Measuring and modeling the brain at multiple spatiotemporal scales are important for
studying brain function and developing high-performance brain-machine interfaces. To …

[PDF][PDF] Information flow in networks based on nonstationary multivariate neural recordings

N Klein - 2019 - stat.cmu.edu
Neural recordings, such as local field potentials (LFPs), reflect the activity of populations of
neurons in time-varying voltage traces and, due to high temporal resolution, they are well …

Generalized phase locking analysis: a multivariate technique for investigating spike-field coupling

S Safavi, TI Panagiotaropoulos, V Kapoor… - Bernstein Conference …, 2021 - pure.mpg.de
Modern multi-channel recording devices offer the opportunity to untangle the coordination
mechanisms of neural activity at a mesoscopic level. However, this requires novel …

Characterizing unobserved factors driving local field potential dynamics underlying a time-varying spike generation

K Niknam, A Akbarian, B Noudoost… - 2018 IEEE global …, 2018 - ieeexplore.ieee.org
Neural spiking responses are generated by both extrinsic covariates such as sensory stimuli
and intrinsic covariates such as those representing the state of the system. Although the …

Assessing time-varying causality network of ensemble neural spiking activity

S Kim, M Aguilar, TP Coleman - BMC Neuroscience, 2011 - Springer
Conclusions The time-varying causal connectivity between neurons was assessed based on
the instantaneous point process LLR calculated using the sequential probability assignment …