V1 Cortical Microcircuit Model Data for Gamma Oscillation Analysis

Aggregating simulation data from a layered microcircuit model of the primary visual cortex (V1), composed of leaky integrate-and-fire neurons. The model exhibits low- and high-γ oscillations across all neural populations, generated from connectivity based on anatomical and electrophysiological studies. The data supports the systematic identification of anatomical circuits underlying oscillation generation.

Use Cases

• Analyze the generation of low-γ oscillations within the sub-circuit located in layers 2/3 and 4 of the V1 model.
• Investigate the emergence of high-γ oscillations from the inter-neurons in layer 4 of the cortical microcircuit.
• Study how connections within and onto layer 5 regulate slow rate fluctuations in the population dynamics.
• Apply the derived sensitivity measure to create frequency-dependent connectivity maps revealing connections crucial for peak amplitude and frequency.
• Test the impact of perturbing specific crucial connections on the population spectra, as demonstrated in the study.

Strengths

• Data is derived from a model based on connectivity compiled from anatomical and electrophysiological studies.
• The model exhibits distinct low-γ and high-γ oscillations across all neural populations.
• The dataset is associated with a published study that developed a systematic approach for identifying oscillation origins.

Limitations

• The dataset consists of simulation data from a specific model, not empirical neural recordings.
• Specific details on data volume (rows, columns, file size) and format are unavailable.
• The model's scope is limited to a microcircuit of the primary visual cortex (V1).

Provenance

Source

Dryad digital repository.

Collection Method

Generated via a combination of mean-field and linear response theory applied to a layered microcircuit model of V1.

Freshness

Last updated on 2020-06-24.