NeuroAI: If grid cells are the answer, is path integration the question?

Journal: Current biology : CB

PMID: 36917942

Abstract

Spatially modulated neurons known as grid cells are thought to play an important role in spatial cognition. A new study has found that units with grid-cell-like properties can emerge within artificial neural networks trained to path integrate, and developed a unifying theory explaining the formation of these cells which shows what circuit constraints are necessary and how learned systems carry out path integration.

Authors

Markus Frey

Kavli Institute for Systems Neuroscience, Centre for Neural Computation, The Egil and Pauline Braathen and Fred Kavli Centre for Cortical Microcircuits, NTNU, Norwegian University of Science and Technology, Trondheim, Norway.
Mackenzie W Mathis

EPFL, Swiss Federal Institute of Technology, Lausanne, Switzerland. Electronic address: mackenzie@post.harvard.edu.
Alexander Mathis

Institute for Theoretical Physics and Werner Reichardt Centre for Integrative Neuroscience, Eberhard Karls Universität Tübingen, Tübingen, Germany.

Keywords

Action Potentials Cognition Entorhinal Cortex Learning Models, Neurological Neural Networks, Computer Neurons Space Perception

External Resources

View on PubMed Access via DOI PubMed (36917942)

NeuroAI: If grid cells are the answer, is path integration the question?

Abstract

Authors

Keywords

External Resources

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