scholarly journals Path integration maintains spatial periodicity of grid cell firing in a 1D circular track

2019 ◽  
Vol 10 (1) ◽  
Author(s):  
Pierre-Yves Jacob ◽  
Fabrizio Capitano ◽  
Bruno Poucet ◽  
Etienne Save ◽  
Francesca Sargolini
Keyword(s):  
Path Integration ◽  
Grid Cell ◽  
Spatial Periodicity ◽  
Circular Track ◽  
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 Linking Cellular Mechanisms to Behavior: Entorhinal Persistent Spiking and Membrane Potential Oscillations May Underlie Path Integration, Grid Cell Firing, and Episodic Memory

2008 ◽  
Vol 2008 ◽  
pp. 1-12 ◽  
Author(s):  
Michael E. Hasselmo ◽  
Mark P. Brandon
Keyword(s):  
Membrane Potential ◽  
Episodic Memory ◽  
Entorhinal Cortex ◽  
Path Integration ◽  
Grid Cell ◽  
Physiological Data ◽  
Cellular Mechanisms ◽  
Potential Oscillations ◽  
Cell Firing ◽  
Membrane Potential Oscillations

The entorhinal cortex plays an important role in spatial memory and episodic memory functions. These functions may result from cellular mechanisms for integration of the afferent input to entorhinal cortex. This article reviews physiological data on persistent spiking and membrane potential oscillations in entorhinal cortex then presents models showing how both these cellular mechanisms could contribute to properties observed during unit recording, including grid cell firing, and how they could underlie behavioural functions including path integration. The interaction of oscillations and persistent firing could contribute to encoding and retrieval of trajectories through space and time as a mechanism relevant to episodic memory.

scholarly journals Impaired Path Integration and Grid Cell Spatial Periodicity in Mice Lacking GluA1-Containing AMPA Receptors

2014 ◽  
Vol 34 (18) ◽  
pp. 6245-6259 ◽  
Author(s):  
K. Allen ◽  
M. Gil ◽  
E. Resnik ◽  
O. Toader ◽  
P. Seeburg ◽  
...  
Keyword(s):  
Ampa Receptors ◽  
Path Integration ◽  
Grid Cell ◽  
Spatial Periodicity

scholarly journals Impaired path integration in mice with disrupted grid cell firing

2017 ◽  
Vol 21 (1) ◽  
pp. 81-91 ◽  
Author(s):  
Mariana Gil ◽  
Mihai Ancau ◽  
Magdalene I. Schlesiger ◽  
Angela Neitz ◽  
Kevin Allen ◽  
...  
Keyword(s):  
Path Integration ◽  
Grid Cell ◽  
Cell Firing

Grids from bands, or bands from grids? An examination of the effects of single unit contamination on grid cell firing fields

2016 ◽  
Vol 115 (2) ◽  
pp. 992-1002 ◽  
Author(s):  
Z. Navratilova ◽  
K. B. Godfrey ◽  
B. L. McNaughton
Keyword(s):  
Single Cell ◽  
Grid Cell ◽  
Cell Isolation ◽  
Recording Technology ◽  
Firing Patterns ◽  
Limiting Step ◽  
Isolation Methods ◽  
Single Cell Isolation ◽  
Cell Firing ◽  
Cell Data

Neural recording technology is improving rapidly, allowing for the detection of spikes from hundreds of cells simultaneously. The limiting step in multielectrode electrophysiology continues to be single cell isolation. However, this step is crucial to the interpretation of data from putative single neurons. We present here, in simulation, an illustration of possibly erroneous conclusions that may be reached when poorly isolated single cell data are analyzed. Grid cells are neurons recorded in rodents, and bats, that spike in equally spaced locations in a hexagonal pattern. One theory states that grid firing patterns arise from a combination of band firing patterns. However, we show here that summing the grid firing patterns of two poorly resolved neurons can result in spurious band-like patterns. Thus, evidence of neurons spiking in band patterns must undergo extreme scrutiny before it is accepted. Toward this aim, we discuss single cell isolation methods and metrics.

scholarly journals Neurobiological successor features for spatial navigation

2019 ◽  
Author(s):  
William de Cothi ◽  
Caswell Barry
Keyword(s):  
Grid Cell ◽  
Biological Data ◽  
Basis Set ◽  
Grid Cells ◽  
Dimensional Representation ◽  
Boundary Vector ◽  
Good Account ◽  
Cell Firing ◽  
Low Dimensional ◽  
Environmental Geometry

AbstractThe hippocampus has long been observed to encode a representation of an animal’s position in space. Recent evidence suggests that the nature of this representation is somewhat predictive and can be modelled by learning a successor representation (SR) between distinct positions in an environment. However, this discretisation of space is subjective making it difficult to formulate predictions about how some environmental manipulations should impact the hippocampal representation. Here we present a model of place and grid cell firing as a consequence of learning a SR from a basis set of known neurobiological features – boundary vector cells (BVCs). The model describes place cell firing as the successor features of the SR, with grid cells forming a low-dimensional representation of these successor features. We show that the place and grid cells generated using the BVC-SR model provide a good account of biological data for a variety of environmental manipulations, including dimensional stretches, barrier insertions, and the influence of environmental geometry on the hippocampal representation of space.

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