Format

Send to

Choose Destination
Neuron. 2014 Jul 16;83(2):481-495. doi: 10.1016/j.neuron.2014.06.018.

A model of grid cell development through spatial exploration and spike time-dependent plasticity.

Author information

1
Center for Learning and Memory and Department of Neuroscience, The University of Texas at Austin, Austin, TX 78712, USA.
2
Center for Learning and Memory and Department of Neuroscience, The University of Texas at Austin, Austin, TX 78712, USA. Electronic address: ilafiete@mail.clm.utexas.edu.

Erratum in

  • Neuron. 2014 Aug 20;83(4):989.

Abstract

Grid cell responses develop gradually after eye opening, but little is known about the rules that govern this process. We present a biologically plausible model for the formation of a grid cell network. An asymmetric spike time-dependent plasticity rule acts upon an initially unstructured network of spiking neurons that receive inputs encoding animal velocity and location. Neurons develop an organized recurrent architecture based on the similarity of their inputs, interacting through inhibitory interneurons. The mature network can convert velocity inputs into estimates of animal location, showing that spatially periodic responses and the capacity of path integration can arise through synaptic plasticity, acting on inputs that display neither. The model provides numerous predictions about the necessity of spatial exploration for grid cell development, network topography, the maturation of velocity tuning and neural correlations, the abrupt transition to stable patterned responses, and possible mechanisms to set grid period across grid modules.

PMID:
25033187
DOI:
10.1016/j.neuron.2014.06.018
[Indexed for MEDLINE]
Free full text

Supplemental Content

Full text links

Icon for Elsevier Science
Loading ...
Support Center