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Benjamin S. H. Lyo

2 accepted papers

2024

Complex priors and flexible inference in recurrent circuits with dendritic nonlinearities

ICLR 2024spotlight

Despite many successful examples in which probabilistic inference can account for perception, we have little understanding of how the brain represents and uses structured priors that capture the complexity of natural input statistics. Here we construct a recurrent circuit model that can implicitly r…

Cited by 0SourcePDFScholar
2021

Impression learning: Online representation learning with synaptic plasticity

NeurIPS 2021poster

Understanding how the brain constructs statistical models of the sensory world remains a longstanding challenge for computational neuroscience. Here, we derive an unsupervised local synaptic plasticity rule that trains neural circuits to infer latent structure from sensory stimuli via a novel loss f…