Information Capacity and Transmission Are Maximized in Balanced Cortical Networks with Neuronal Avalanches
National Institute of Mental Health · University of Maryland, College Park
Abstract
The repertoire of neural activity patterns that a cortical network can produce constrains the ability of the network to transfer and process information. Here, we measured activity patterns obtained from multisite local field potential recordings in cortex cultures, urethane-anesthetized rats, and awake macaque monkeys. First, we quantified the information capacity of the pattern repertoire of ongoing and stimulus-evoked activity using Shannon entropy. Next, we quantified the efficacy of information transmission between stimulus and response using mutual information. By systematically changing the ratio of excitation/inhibition (E/I) in vitro and in a network model, we discovered that both information capacity…
Citation impact
- FWCI
- 15.76
- Percentile
- 100%
- References
- 42
Authors
5Topics & keywords
- Neuroscience
- Local field potential
- Mutual information
- Information transmission
- Premovement neuronal activity
- Information transfer
- Macaque
- Information theory