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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Posted ContentDOI
Network States Classification based on Local Field Potential Recordings in the Awake Mouse Neocortex
TL;DR: In this article , the authors used the Network State Index (NSI) to analyze the relationship between single-cell (intracellular) and population (LFP) signals over different network states of wakefulness.
Exploring Graphene Physics for Optical Sensing
TL;DR: Horng et al. as mentioned in this paper studied the intrinsic optical properties of Dirac electrons in monolayer graphene and developed a tunable mid-infrared laser for graphene optical sensor application.
Journal ArticleDOI
Chronic Stability of Local Field Potentials Using Amorphous Silicon Carbide Microelectrode Arrays Implanted in the Rat Motor Cortex
Eleanor N. Jeakle,Justin Abbott,Joshua O. Usoro,Yupeng Wu,Pegah Haghighi,Rahul Radhakrishna,Brandon S. Sturgill,Shido Nakajima,T. T. D. Thai,Joseph J. Pancrazio,Stuart F. Cogan,Ana G. Hernandez-Reynoso +11 more
TL;DR: In this article , planar, silicon-based devices and ultra-thin amorphous silicon carbide (a-SiC) MEAs were implanted in the motor cortex of female Sprague-Dawley rats, and weekly anesthetized recordings were made for 16 weeks after implantation.
Journal ArticleDOI
Synchronous Spikes Are More Effective (but Not for Long)
TL;DR: A new study provides compelling evidence that synchrony in a source population is not efficacious beyond the input layers of the target population.
Journal ArticleDOI
Model-based signal processing enables bidirectional inferring between local field potential and spikes evoked by noxious stimulation.
TL;DR: In this article, the kernel convolution theory was used to extract the LFP from single-cell spikes in the medullary dorsal horn (MDH) in deeply anesthetized rats.
References
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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.
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Investigating causal relations by econometric models and cross-spectral methods
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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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