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Data
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Excitatory and inhibitory population activity (Bittner et al 2017) (Litwin-Kumar & Doiron 2017)
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Tom Morse - MoldelDB admin
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"Many studies use population analysis approaches, such as
dimensionality reduction, to characterize the activity of large groups
of neurons. To date, these methods have treated each neuron equally,
without taking into account whether neurons are excitatory or
inhibitory. We studied population activity structure as a function of
neuron type by applying factor analysis to spontaneous activity from
spiking networks with balanced excitation and inhibition.
Throughout
the study, we characterized population activity structure by measuring
its dimensionality and the percentage of overall activity variance
that is shared among neurons. First, by sampling only excitatory or
only inhibitory neurons, we found that the activity structures of
these two populations in balanced networks are measurably
different. We also found that the population activity structure is
dependent on the ratio of excitatory to inhibitory neurons
sampled. Finally we classified neurons from extracellular recordings
in the primary visual cortex of anesthetized macaques as putative
excitatory or inhibitory using waveform classification, and found
similarities with the neuron type-specific population activity
structure of a balanced network with excitatory clustering. These
results imply that knowledge of neuron type is important, and allows
for stronger statistical tests, when interpreting population activity
structure."
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Abstract integrate-and-fire leaky neuron Show
Other
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Bittner SR, Williamson RC, Snyder AC, Litwin-Kumar A, Doiron B, Chase SM, Smith MA, Yu BM (2017) Show
Other
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Litwin-Kumar A, Doiron B (2012) Show
Other
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tom.morse@yale.edu
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Bittner SR, Williamson RC, Snyder AC, Litwin-Kumar A, Doiron B, Chase SM, Smith MA, Yu BM (2017) Population activity structure of excitatory and inhibitory neurons. PLoS One 12:e0181773
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