Article: Behind the scenes, brain circuit ensures vision remains reliable
Source: Picower Institute at MIT
Published: September 8, 2021
PV (red) and SST (green) inhibitory neurons combine to regulate the reliability of image representation by excitatory neurons in the mouse visual cortex |
The PV neurons inhibit excitatory activity to control their gain, that is, to prevent them from becoming saturated amid a flood of incoming images. However, gain suppression comes at the cost of making the representation of images less reliable. Meanwhile, the SST neurons can inhibit the activity of PV neurons, the SST neurons kicking in when excitatory activity has become unreliable. This tripartite neuron circuit was then modeled with computer software. Once they learned how the circuit worked, the researchers could control the inhibitory cells to influence how consistently the excitatory neurons represented images. For example, increasing PV activity made any existing reliability less reliable, and increasing SST activity made unreliable activity more reliable. Importantly, because SST inhibitory neurons work by inhibiting PV neurons—in other words, SST neurons increase reliability by inhibiting inhibition—they would not be able to enforce reliability without PV neurons. It is an inherent tripartite circuit, due in part to differences in how these two cells form synapses. (SST neurons form inhibitory synapses at neuron dendrites while PV neurons form inhibitory synapses at neuron somas.) The authors remark, "[I]t is the co-operative dynamics between SST and PV [neurons] which is important for controlling the temporal fidelity of sensory processing." They add that the circuit also interacts and receives input from other higher order brain areas, for example, to concentrate on a particular scene with volitional attention.
My rating of this study: ⭐⭐⭐
Rikhye RV, Yildirim M, Hu M, et al. "Reliable Sensory Processing in Mouse Visual Cortex through Cooperative Interactions between Somatostatin and Parvalbumin Interneurons." Journal of Neuroscience. 41(42):8761-8778. 20 October 2021.
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