Sampling effects and measurement overlap can bias the inference of neuronal avalanches
| Autor: | Joao Pinheiro Neto, F. Paul Spitzner, Viola Priesemann |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Ecology
Quantitative Biology::Neurons and Cognition Statistical Mechanics (cond-mat.stat-mech) FOS: Physical sciences Disordered Systems and Neural Networks (cond-mat.dis-nn) Condensed Matter - Disordered Systems and Neural Networks Nonlinear Sciences - Adaptation and Self-Organizing Systems Cellular and Molecular Neuroscience Computational Theory and Mathematics Modeling and Simulation Quantitative Biology - Neurons and Cognition Physics - Data Analysis Statistics and Probability FOS: Biological sciences Genetics Neurons and Cognition (q-bio.NC) Molecular Biology Adaptation and Self-Organizing Systems (nlin.AO) Ecology Evolution Behavior and Systematics Condensed Matter - Statistical Mechanics Data Analysis Statistics and Probability (physics.data-an) |
| Zdroj: | PLoS Computational Biology |
| DOI: | 10.48550/arxiv.1910.09984 |
| Popis: | To date, it is still impossible to sample the entire mammalian brain with single-neuron precision. This forces one to either use spikes (focusing on few neurons) or to use coarse-sampled activity (averaging over many neurons, e.g. LFP). Naturally, the sampling technique impacts inference about collective properties. Here, we emulate both sampling techniques on a simple spiking model to quantify how they alter observed correlations and signatures of criticality. We describe a general effect: when the inter-electrode distance is small, electrodes sample overlapping regions in space, which increases the correlation between the signals. For coarse-sampled activity, this can produce power-law distributions even for non-critical systems. In contrast, spike recordings do not suffer this particular bias and underlying dynamics can be identified. This may resolve why coarse measures and spikes have produced contradicting results in the past. Comment: 14 pages, 7 figures, Supp. Info. w/ 7 pages |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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