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For a neural circuit to be "specialized", does it need specialized neurons? In our new work - now out in @NatureNeuro - we address this question in the BLA, using representational geometry to propose a new population-centric way of defining circuit specialization. 🧵👇 1/

2/ The BLA is known to have specialized circuits for valence (+/-), but what about other features of emotional experiences, such as behavior? In a virtual burrow assay, we observed that mice both tremble (~freeze) and ingress (~flee) in response to aversive (shock-paired) odors.

4/ What about the neural code? All variables were highly decodable, but representing the world is not enough to act on it. What matters is "how" this information is organized!

5/ For example, to make quick, precise decisions when faced with threats, the brain needs to read out information precisely (low interference) and flexibly (high generalization) - this is a "specialized" circuit. How can we design one?

6/ A circuit made of specialized sub-populations, such as "valence neurons" and "tremble neurons", clearly satisfies these requirements: sub-populations encode variables independently, and each trivially generalizes across contexts because it cares about only one thing.