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Continuous attractor circuits for decision making with Laplace-domain neural representations
This work proposes that ramping and sequentially firing neurons form complementary population codes for the same decision variable, and constructs a continuous attractor neural network that dynamically maintains these complementary representations while implementing evidence accumulation along a shared latent manifold.