Results 21 to 30 of about 1,231,821 (322)

Computational Models of Grid Cells [PDF]

open access: yesNeuron, 2011
Grid cells are space-modulated neurons with periodic firing fields. In moving animals, the multiple firing fields of an individual grid cell form a triangular pattern tiling the entire space available to the animal. Collectively, grid cells are thought to provide a context-independent metric representation of the local environment.
Giocomo, Lisa M.   +2 more
openaire   +2 more sources

Selforganization of modular activity of grid cells [PDF]

open access: yesHippocampus, 2017
Eugenio Urdapilleta   +2 more
exaly   +2 more sources

Network mechanisms of grid cells [PDF]

open access: yesPhilosophical Transactions of the Royal Society B: Biological Sciences, 2014
One of the major breakthroughs in neuroscience is the emerging understanding of how signals from the external environment are extracted and represented in the primary sensory cortices of the mammalian brain. The operational principles of the rest of the cortex, however, have essentially remained in the dark.
Moser, E. I., Moser, M.-B., Roudi, Y.
openaire   +3 more sources

Episodic Memories: How do the Hippocampus and the Entorhinal Ring Attractors Cooperate to Create Them?

open access: yesFrontiers in Systems Neuroscience, 2020
The brain is capable of registering a constellation of events, encountered only once, as an episodic memory that can last for a lifetime. As evidenced by the clinical case of the patient HM, memories preserving their episodic nature still depend on the ...
Krisztián A. Kovács
doaj   +1 more source

Grid Cell Percolation

open access: yesNeural Computation, 2022
Grid cells play a principal role in enabling mammalian cognitive representations of ambient environments. The key property of these cells—the regular arrangement of their firing fields—is commonly viewed as means for establishing spatial scales or encoding specific locations.
openaire   +3 more sources

Grid cells' need for speed [PDF]

open access: yesNature Neuroscience, 2016
Grid-firing fields of neurons in the entorhinal cortex are thought to require inputs encoding running speed. Glutamatergic projections from the medial septum may be one of the inputs that provide these speed signals.
Alfredo Gonzalez-Sulser, Matthew F Nolan
openaire   +3 more sources

Grid Cell Hexagonal Patterns Formed by Fast Self-Organized Learning within Entorhinal Cortex [PDF]

open access: yes, 2009
Grid cells in the dorsal segment of the medial entorhinal cortex (dMEC) show remarkable hexagonal activity patterns, at multiple spatial scales, during spatial navigation. How these hexagonal patterns arise has excited intense interest. It has previously
Alonso   +45 more
core   +2 more sources

Grid cells and cortical representation [PDF]

open access: yesNature Reviews Neuroscience, 2014
One of the grand challenges in neuroscience is to comprehend neural computation in the association cortices, the parts of the cortex that have shown the largest expansion and differentiation during mammalian evolution and that are thought to contribute profoundly to the emergence of advanced cognition in humans. In this Review, we use grid cells in the
Edvard I. Moser   +5 more
openaire   +4 more sources

Resonating neurons stabilize heterogeneous grid-cell networks

open access: yeseLife, 2021
A central theme that governs the functional design of biological networks is their ability to sustain stable function despite widespread parametric variability.
Divyansh Mittal, Rishikesh Narayanan
doaj   +1 more source

Robust and efficient coding with grid cells. [PDF]

open access: yesPLoS Comput Biol, 2018
Abstract The neuronal code arising from the coordinated population activity of grid cells in the rodent entorhinal cortex can uniquely represent space across large distances but the precise conditions for efficient coding are unknown. Here we present a number-theoretic analysis of grid coding and derive an upper bound on the distance ...
Vágó L, Ujfalussy BB.
europepmc   +5 more sources

Home - About - Disclaimer - Privacy