The Role of Grid Cells in Spatial Cognition
Student: Michal Kostrhun
Student mail: kostrhun1
fmph.uniba.sk
Guiding Teacher: prof. Ing. Igor Farkaš, Dr.
Teacher mail: farkasfmph.uniba.sk
Project Overview
Cognitive neuroscience can help provide mechanistic explanations of how human cognition could work. At the same time, it can inspire computational models in artificial intelligence (e.g., for robots with spatial abilities).
Study the literature related to grid cells in the brain, from the computational perspective.
Using [1], implement a small neural network model containing grid cells. Train, test, and analyze the model on a small selected task involving spatial representations.
References
- [1] Whittington, James C.R. et al. (2020) The Tolman-Eichenbaum Machine: Unifying Space and Relational Memory through Generalization in the Hippocampal Formation. Cell, 183(5), 1249-1263
- [2] Ling L. Dong L.L., Fiete R. (2024) Grid Cells in Cognition: Mechanisms and Function. Annual Review of Neuroscience
- [3] Hawkins J. et al. (2019) A framework for intelligence and cortical function based on grid cells in the neocortex. Frontiers in Neural Circuits