Multimodal data features

siibra provides access to data features of different modalities using siibra.features.get(), which accepts an anatomical concept like a brain region, parcellation, or reference space, and a feature type from the siibra.features module. You can see the available feature types using print(siibra.features.TYPES). Currently available data features include neurotransmitter densities, regional connectivity profiles, connectivity matrices, high-resolution volumes of interest, gene expressions, and cell distributions. Additional features, including functional activation maps and electrophysiological recordings, will become available soon.