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\nA wide range of behaviors can be formalized as instances of probabilistic inferences. This includes odor recognition in insects, navigation in rodents, motor control, decision making in primates, simple arithmetic in children and monkeys, and causal reasoning in humans, to name just a few. In all cases, the probabilistic inferences involve products of distributions and marginalization. Dr. Pouget's lab will show that, given the type of variability reported in neural responses, products of distributions can be implemented through linear operations over firing rates, while marginalization over Gaussian random variables requires a particular nonlinearity known as quadratic divisive normalization. Both operations are conspicuous in many neural circuits raising the possibility that seemingly unrelated behaviors could in fact rely on very similar neural mechanisms across different species.

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\nA wide range of behaviors can be formalized as instances of probabilistic inferences. This includes odor recognition in insects, navigation in rodents, motor control, decision making in primates, simple arithmetic in children and monkeys, and causal reasoning in humans, to name just a few. In all cases, the probabilistic inferences involve products of distributions and marginalization. Dr. Pouget's lab will show that, given the type of variability reported in neural responses, products of distributions can be implemented through linear operations over firing rates, while marginalization over Gaussian random variables requires a particular nonlinearity known as quadratic divisive normalization. Both operations are conspicuous in many neural circuits raising the possibility that seemingly unrelated behaviors could in fact rely on very similar neural mechanisms across different species.

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\nA wide range of behaviors can be formalized as instances of probabilistic inferences. This includes odor recognition in insects, navigation in rodents, motor control, decision making in primates, simple arithmetic in children and monkeys, and causal reasoning in humans, to name just a few. In all cases, the probabilistic inferences involve products of distributions and marginalization. Dr. Pouget's lab will show that, given the type of variability reported in neural responses, products of distributions can be implemented through linear operations over firing rates, while marginalization over Gaussian random variables requires a particular nonlinearity known as quadratic divisive normalization. Both operations are conspicuous in many neural circuits raising the possibility that seemingly unrelated behaviors could in fact rely on very similar neural mechanisms across different species.

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