Journal ArticleDOI
Modelling and analysis of local field potentials for studying the function of cortical circuits
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TLDR
Careful mathematical modelling and analysis are needed to take full advantage of the opportunities that this signal offers in understanding signal processing in cortical circuits and, ultimately, the neural basis of perception and cognition.Abstract:
Local field potentials (LFPs) provide a wealth of information about synaptic processing in cortical populations but are difficult to interpret. Einevoll and colleagues consider the neural origin of cortical LFPs and discuss LFP modelling and analysis methods that can improve the interpretation of LFP data.read more
Citations
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Journal ArticleDOI
NMDA Enhances and Glutamate Attenuates Synchrony of Spontaneous Phase-Locked Locus Coeruleus Network Rhythm in Newborn Rat Brain Slices
TL;DR: The findings show that accelerated spiking during NMDA and glutamate is associated with enhanced or attenuated LC synchrony, respectively, causing distinct LFP pattern transformations, which potentially fine-tunes its influence on brain functions.
Journal ArticleDOI
Modeling and inference methods for switching regime-dependent dynamical systems with multiscale neural observations
TL;DR: A Switching Multiscale Dynamical System model that allows for regime-switching dynamics using an unobserved regime state that dictates the dynamical and encoding parameters at every time-step and the associated filtering and smoothing methods.
Journal ArticleDOI
Autocrine Neuromodulation and Network Activity Patterns in the Locus Coeruleus of Newborn Rat Slices
Quinn Waselenchuk,Klaus Ballanyi +1 more
TL;DR: The neonatal LC has a complex (possibly modular) organization to enable discharge pattern transformations that might facilitate discrete actions on target circuits.
Journal ArticleDOI
Tandospirone prevents stress-induced anxiety-like behavior and visceral hypersensitivity by suppressing theta oscillation enhancement via 5-HT1A receptors in the anterior cingulate cortex in rats
Tingting Zhan,Zhiyu Dong,Lisha Yi,Yan Zhang,Huihui Sun,Haiqin Zhang,Junwen Wang,Ying Chen,Ying Huang,Shuchang Xu +9 more
TL;DR: A novel mechanism by which tandospirone activates 5-HT1A receptors to relieve stress-induced anxiety and visceral hypersensitivity by suppressing theta oscillation enhancement in ACC is suggested.
Journal ArticleDOI
Brain signal predictions from multi-scale networks using a linearized framework
TL;DR: In this article , a computational framework for predicting spatiotemporal filter kernels for extracellular signals stemming from synaptic activity was proposed, accounting for the biophysics of neurons, populations, and recurrent connections.
References
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Journal ArticleDOI
A mathematical theory of communication
TL;DR: This final installment of the paper considers the case where the signals or the messages or both are continuously variable, in contrast with the discrete nature assumed until now.
MonographDOI
Causality: models, reasoning, and inference
TL;DR: The art and science of cause and effect have been studied in the social sciences for a long time as mentioned in this paper, see, e.g., the theory of inferred causation, causal diagrams and the identification of causal effects.
Book ChapterDOI
Investigating causal relations by econometric models and cross-spectral methods
TL;DR: In this article, it is shown that the cross spectrum between two variables can be decomposed into two parts, each relating to a single causal arm of a feedback situation, and measures of causal lag and causal strength can then be constructed.
Journal ArticleDOI
Learning the parts of objects by non-negative matrix factorization
TL;DR: An algorithm for non-negative matrix factorization is demonstrated that is able to learn parts of faces and semantic features of text and is in contrast to other methods that learn holistic, not parts-based, representations.
Learning parts of objects by non-negative matrix factorization
TL;DR: In this article, non-negative matrix factorization is used to learn parts of faces and semantic features of text, which is in contrast to principal components analysis and vector quantization that learn holistic, not parts-based, representations.
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