Co-occurring keywords · papers mentioning both
Papers
Meta-learning families of plasticity rules in recurrent spiking networks using simulation-based inference
NeurIPS 2023
A sampling-based circuit for optimal decision making
NeurIPS 2021
Fitting summary statistics of neural data with a differentiable spiking network simulator
NeurIPS 2021
Predictive coding in balanced neural networks with noise, chaos and delays
NeurIPS 2020
Neurons as Monte Carlo Samplers: Bayesian Inference and Learning in Spiking Networks
NeurIPS 2014
Unsupervised learning of an efficient short-term memory network
NeurIPS 2014
Firing rate predictions in optimal balanced networks
NeurIPS 2013
Homeostatic plasticity in Bayesian spiking networks as Expectation Maximization with posterior constraints
NeurIPS 2012