scholarly journals The abrupt development of adult-like grid cell firing in the medial entorhinal cortex

2012 ◽  
Vol 6 ◽  
Author(s):  
Thomas J. Wills ◽  
Caswell Barry ◽  
Francesca Cacucci
Keyword(s):  
Entorhinal Cortex ◽  
Grid Cell ◽  
Medial Entorhinal Cortex ◽  
Cell Firing

scholarly journals Neuronal rebound spiking, resonance frequency and theta cycle skipping may contribute to grid cell firing in medial entorhinal cortex

2014 ◽  
Vol 369 (1635) ◽  
pp. 20120523 ◽  
Author(s):  
Michael E. Hasselmo
Keyword(s):  
Resonance Frequency ◽  
Entorhinal Cortex ◽  
Functional Role ◽  
Grid Cell ◽  
Medial Septum ◽  
Medial Entorhinal Cortex ◽  
Spatial Periodicity ◽  
Cell Firing ◽  
Rebound Spiking ◽  
Relationship Of

Data show a relationship of cellular resonance and network oscillations in the entorhinal cortex to the spatial periodicity of grid cells. This paper presents a model that simulates the resonance and rebound spiking properties of entorhinal neurons to generate spatial periodicity dependent upon phasic input from medial septum. The model shows that a difference in spatial periodicity can result from a difference in neuronal resonance frequency that replicates data from several experiments. The model also demonstrates a functional role for the phenomenon of theta cycle skipping in the medial entorhinal cortex.

scholarly journals How to build a grid cell

2014 ◽  
Vol 369 (1635) ◽  
pp. 20120520 ◽  
Author(s):  
Christoph Schmidt-Hieber ◽  
Michael Häusser
Keyword(s):  
Entorhinal Cortex ◽  
Action Potentials ◽  
Path Integration ◽  
Grid Cell ◽  
Medial Entorhinal Cortex ◽  
Synaptic Inputs ◽  
New Findings ◽  
Cell Firing

Neurons in the medial entorhinal cortex fire action potentials at regular spatial intervals, creating a striking grid-like pattern of spike rates spanning the whole environment of a navigating animal. This remarkable spatial code may represent a neural map for path integration. Recent advances using patch-clamp recordings from entorhinal cortex neurons in vitro and in vivo have revealed how the microcircuitry in the medial entorhinal cortex may contribute to grid cell firing patterns, and how grid cells may transform synaptic inputs into spike output during firing field crossings. These new findings provide key insights into the ingredients necessary to build a grid cell.

scholarly journals Tuning of Synaptic Integration in the Medial Entorhinal Cortex to the Organization of Grid Cell Firing Fields

Neuron ◽  
2008 ◽  
Vol 60 (5) ◽  
pp. 875-889 ◽  
Author(s):  
Derek L.F. Garden ◽  
Paul D. Dodson ◽  
Cian O'Donnell ◽  
Melanie D. White ◽  
Matthew F. Nolan
Keyword(s):  
Entorhinal Cortex ◽  
Grid Cell ◽  
Synaptic Integration ◽  
Medial Entorhinal Cortex ◽  
Cell Firing

scholarly journals Recurrent circuits within medial entorhinal cortex superficial layers support grid cell firing

2018 ◽  
Vol 9 (1) ◽  
Author(s):  
Ipshita Zutshi ◽  
Maylin L. Fu ◽  
Varoth Lilascharoen ◽  
Jill K. Leutgeb ◽  
Byung Kook Lim ◽  
...  
Keyword(s):  
Entorhinal Cortex ◽  
Grid Cell ◽  
Medial Entorhinal Cortex ◽  
Cell Firing ◽  
Support Grid

scholarly journals Effects of visual inputs on neural dynamics for coding of location and running speed in medial entorhinal cortex

2020 ◽  
Author(s):  
Holger Dannenberg ◽  
Hallie Lazaro ◽  
Pranav Nambiar ◽  
Alec Hoyland ◽  
Michael E. Hasselmo
Keyword(s):  
Entorhinal Cortex ◽  
Field Potential ◽  
Grid Cell ◽  
Spatial Location ◽  
Neural Dynamics ◽  
Movement Speed ◽  
Running Speed ◽  
Medial Entorhinal Cortex ◽  
Visual Inputs ◽  
Cell Firing

ABSTRACTNeuronal representations of spatial location and movement speed in the medial entorhinal cortex during the “active” theta state of the brain are important for memory-guided navigation and rely on visual inputs. However, little is known about how visual inputs change neural dynamics as a function of running speed and time. By manipulating visual inputs in mice, we demonstrate that changes in spatial stability of grid cell firing as a function of time correlate with changes in a proposed speed signal by local field potential theta frequency. In contrast, visual inputs do not affect the speed modulation of firing rates. Moreover, we provide evidence that sensory inputs other than visual inputs can support grid cell firing, though less accurately, in complete darkness. Finally, changes in spatial accuracy of grid cell firing on a 10-s time scale suggest that grid cell firing is a function of velocity signals integrated over past time.

scholarly journals Effects of visual inputs on neural dynamics for coding of location and running speed in medial entorhinal cortex

eLife ◽  
2020 ◽  
Vol 9 ◽  
Author(s):  
Holger Dannenberg ◽  
Hallie Lazaro ◽  
Pranav Nambiar ◽  
Alec Hoyland ◽  
Michael E Hasselmo
Keyword(s):  
Entorhinal Cortex ◽  
Field Potential ◽  
Grid Cell ◽  
Neuronal Firing ◽  
Neural Dynamics ◽  
Movement Speed ◽  
Running Speed ◽  
Medial Entorhinal Cortex ◽  
Visual Inputs ◽  
Cell Firing

Neuronal representations of spatial location and movement speed in the medial entorhinal cortex during the ‘active’ theta state of the brain are important for memory-guided navigation and rely on visual inputs. However, little is known about how visual inputs change neural dynamics as a function of running speed and time. By manipulating visual inputs in mice, we demonstrate that changes in spatial stability of grid cell firing correlate with changes in a proposed speed signal by local field potential theta frequency. In contrast, visual inputs do not alter the running speed-dependent gain in neuronal firing rates. Moreover, we provide evidence that sensory inputs other than visual inputs can support grid cell firing, though less accurately, in complete darkness. Finally, changes in spatial accuracy of grid cell firing on a 10 s time scale suggest that grid cell firing is a function of velocity signals integrated over past time.

scholarly journals ARM-Cortex M3-Based Two-Wheel Robot for Assessing Grid Cell Model of Medial Entorhinal Cortex: Progress towards Building Robots with Biologically Inspired Navigation-Cognitive Maps

2017 ◽  
Vol 2017 ◽  
pp. 1-9
Author(s):  
J. Cuneo ◽  
L. Barboni ◽  
N. Blanco ◽  
M. del Castillo ◽  
J. Quagliotti
Keyword(s):  
Embedded System ◽  
Entorhinal Cortex ◽  
Cell Model ◽  
Systems Design ◽  
Grid Cell ◽  
Network Models ◽  
Time Algorithm ◽  
Neural Network Models ◽  
Biologically Inspired ◽  
Medial Entorhinal Cortex

This article presents the implementation and use of a two-wheel autonomous robot and its effectiveness as a tool for studying the recently discovered use of grid cells as part of mammalian’s brains space-mapping circuitry (specifically the medial entorhinal cortex). A proposed discrete-time algorithm that emulates the medial entorhinal cortex is programed into the robot. The robot freely explores a limited laboratory area in the manner of a rat or mouse and reports information to a PC, thus enabling research without the use of live individuals. Position coordinate neural maps are achieved as mathematically predicted although for a reduced number of implemented neurons (i.e., 200 neurons). However, this type of computational embedded system (robot’s microcontroller) is found to be insufficient for simulating huge numbers of neurons in real time (as in the medial entorhinal cortex). It is considered that the results of this work provide an insight into achieving an enhanced embedded systems design for emulating and understanding mathematical neural network models to be used as biologically inspired navigation system for robots.

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