58 citations · 64 across the 6 of their papers we have counts for
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stat.ML2021★ 1 cited
Fitting summary statistics of neural data with a differentiable spiking network simulator
Guillaume Bellec, Shuqi Wang, Alireza Modirshanechi +2
Fitting network models to neural activity is an important tool in neuroscience. A popular approach is to model a brain area with a probabilistic recurrent spiking network whose par…
stat.ML2019
Learning in Volatile Environments with the Bayes Factor Surprise
Vasiliki Liakoni, Alireza Modirshanechi, Wulfram Gerstner +1
Surprise-based learning allows agents to rapidly adapt to non-stationary stochastic environments characterized by sudden changes. We show that exact Bayesian inference in a hierarc…