Topic: mouse primary visual cortex

Inhibitory interneurons in cortex consist of many subtypes that differ in, e.g., connectivity and physiology. Recently, it was shown that —in layers 1-3 of mouse primary visual cortex— interneuron subtypes differ systematically in their modulation with an animal’s behavioural state, and that this state modulation can be predicted from the first principal component (PC) of the gene expression matrix (Bugeon et al. 2022). Here, we ask if this link between transcriptome and state-dependent processing is a general principle that extends across layers, areas, and species. To this end, we analysed

To decipher the algorithm of perception, it is important to characterize neural tuning functions and identify the directions of maximal sensitivity and invariance to stimulus features. To this end, parametric stimuli are typically used, but they make strong assumptions about the stimulus features to which neurons are selective and invariant. Recently, the “inception loop” paradigm was developed, which combines large-scale neuronal recordings with deep learning system identification models which are trained to predict the responses of neurons to arbitrary stimuli. Inception loops have been used