Home Department: Symbolic Systems
Supported by: Bio-X
Mentor: Ivan Soltesz, Neurosurgery

The dentate gyrus area of the hippocampus plays an important role in memory and behavior, and should be represented in computational models of the brain. Using the NEURON simulation environment, Grace’s research project aims to construct a computational model of granule cells in the dentate that accurately represents the input-output transformations performed in the mammalian dentate gyrus. This model can then be integrated into a full network model of the dentate to study learning and memory in the hippocampus, as well as the cognitive deficits associated with diseases like epilepsy.

Poster presented at the Stanford Bio-X Interdisciplinary Initiatives Symposium on August 24, 2017:

Novel Parallel Computing Methods for Fitting Neuronal Network Models to Experimental Data

Grace Ng¹, Aaron Milstein¹, Ivan Raikov¹, Ivan Soltesz¹
[Department of Neurosurgery¹, Stanford University]