Estimation of neural network model parameters from local field potentials (LFPs)
نویسندگان
چکیده
منابع مشابه
From neurons to circuits: linear estimation of local field potentials.
Extracellular physiological recordings are typically separated into two frequency bands: local field potentials (LFPs) (a circuit property) and spiking multiunit activity (MUA). Recently, there has been increased interest in LFPs because of their correlation with functional magnetic resonance imaging blood oxygenation level-dependent measurements and the possibility of studying local processing...
متن کاملThe relationship between local field potentials (LFPs) and the electromagnetic fields that give rise to them
Recently there has been a call (Reimann et al., 2013) for a re-evaluation of the genesis of local field potentials (LFPs), a measurement deeply correlated with normal and pathological excitable cell tissue operation (Einevoll et al., 2013; Friston et al., 2014). The lack of a full scientific account of LFP origins additionally means that brain augmentation hardware, a primary tool for which is ...
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We compared linear and neural network models for estimating human signal detection performance from event-related potentials (ERP) elicited by task-relevant stimuli. Data consisted of ERPs and performance measures from ve trained operators who monitored a radar display and detected and classiied visual symbols at three contrast levels. The performance measure (PF1) was a composite of accuracy, ...
متن کاملUnmasking local activity within local field potentials (LFPs) by removing distal electrical signals using independent component analysis
Local field potentials (LFPs) are commonly thought to reflect the aggregate dynamics in local neural circuits around recording electrodes. However, we show that when LFPs are recorded in awake behaving animals against a distal reference on the skull as commonly practiced, LFPs are significantly contaminated by non-local and non-neural sources arising from the reference electrode and from moveme...
متن کاملInferring Cortical Variability from Local Field Potentials.
UNLABELLED The responses of sensory neurons can be quite different to repeated presentations of the same stimulus. Here, we demonstrate a direct link between the trial-to-trial variability of cortical neuron responses and network activity that is reflected in local field potentials (LFPs). Spikes and LFPs were recorded with a multielectrode array from the middle temporal (MT) area of the visual...
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ژورنال
عنوان ژورنال: PLOS Computational Biology
سال: 2020
ISSN: 1553-7358
DOI: 10.1371/journal.pcbi.1007725