Toviah’s research has focused on plasticity and learning at the level of the single neuron. He is interested in how the learning algorithms in artificial neural networks relate to plasticity mechanisms in biology. His work has explored whether the unique complexities of biological neurons can help or hinder learning. His latest work has focused on the calcium control hypothesis, which is a model for understanding how intracellular calcium concentrations determine changes in synaptic efficacy. Toviah has recently begun analyzing cortical connectomics data to answer questions about information storage in the brain.