Neural timescales from a computational perspective
Timescales of neural activity are diverse across and within brain areas, and experimental
observations suggest that neural timescales reflect information in dynamic environments …
observations suggest that neural timescales reflect information in dynamic environments …
Amortized Bayesian Decision Making for simulation-based models
Simulation-based inference (SBI) provides a powerful framework for inferring posterior
distributions of stochastic simulators in a wide range of domains. In many settings, however …
distributions of stochastic simulators in a wide range of domains. In many settings, however …
Robust Amortized Bayesian Inference with Self-Consistency Losses on Unlabeled Data
Neural amortized Bayesian inference (ABI) can solve probabilistic inverse problems orders
of magnitude faster than classical methods. However, neural ABI is not yet sufficiently robust …
of magnitude faster than classical methods. However, neural ABI is not yet sufficiently robust …
sbi reloaded: a toolkit for simulation-based inference workflows
Scientists and engineers use simulators to model empirically observed phenomena.
However, tuning the parameters of a simulator to ensure its outputs match observed data …
However, tuning the parameters of a simulator to ensure its outputs match observed data …