Identifying neural contributions to the local field potential through modeling: a review of Barbieri et al. (2014)
Year: 2015
Type: review
Abstract: Measuring which neurons spike at what times in relation to an organism's perceptions and actions is crucial for establishing how computations are implemented in the brain. Recording spikes from more than a few neurons at a time, though, is difficult, and even modern recording technologies that allow spikes from hundreds of neurons to be recorded simultaneously (Stevenson and Kording, 2011) massively under-sample the spikes fired in a local neural population. This limitation has led to an interest in methods for inferring spiking activity from gross measures of population dynamics such as the local field potential (LFP). The LFP, which is the low frequency part ( ≲ 500 Hz) of the signal measured by an extracellular electrode, primarily reflects synaptic currents near the electrode (Einevoll et al. 2013). Though synaptic activity is directly related to spiking, inferring local spiking from the LFP is non-trivial: each neuron receives thousands of synapses, from both local and distant sources, with temporally overlapping currents. The LFP is also affected by other slow, non-synaptic neuronal membrane currents, further complicating its interpretation (Einevoll et al., 2013). ABSTRACT This is a journal-club style review of the paper Stimulus dependence of local field potential spectra: experiment versus theory by Barbieri et al. (2014). 1
Source: The Winnower
Author: Richard Tomsett
Language: English
Subfield: Cognitive Neuroscience
Field: Neuroscience
Domain: Life Sciences
Open Access status: diamond
OpenAlex ID: W2182990465