scholarly journals Grid cell firing patterns may arise from feedback interaction between intrinsic rebound spiking and transverse traveling waves with multiple heading angles

2014 ◽  
Vol 8 ◽  
Author(s):  
Michael E. Hasselmo ◽  
Christopher F. Shay
Keyword(s):  
Traveling Waves ◽  
Grid Cell ◽  
Firing Patterns ◽  
Cell Firing ◽  
Rebound Spiking

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 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 Purely Translational Realignment in Grid Cell Firing Patterns Following Nonmetric Context Change

2015 ◽  
Vol 25 (11) ◽  
pp. 4619-4627 ◽  
Author(s):  
Elizabeth Marozzi ◽  
Lin Lin Ginzberg ◽  
Andrea Alenda ◽  
Kate J. Jeffery
Keyword(s):  
Grid Cell ◽  
Context Change ◽  
Firing Patterns ◽  
Cell Firing

scholarly journals Grid cell firing patterns signal environmental novelty by expansion

2012 ◽  
Vol 109 (43) ◽  
pp. 17687-17692 ◽  
Author(s):  
C. Barry ◽  
L. L. Ginzberg ◽  
J. O'Keefe ◽  
N. Burgess
Keyword(s):  
Grid Cell ◽  
Firing Patterns ◽  
Cell Firing ◽  
Environmental Novelty

scholarly journals Spatial cell firing during virtual navigation of open arenas by head-restrained mice

2018 ◽  
Author(s):  
Guifen Chen ◽  
John A King ◽  
Yi Lu ◽  
Francesca Cacucci ◽  
Neil Burgess
Keyword(s):  
Translational Motion ◽  
Grid Cell ◽  
Place Cell ◽  
Head Movements ◽  
Neuronal Firing ◽  
Firing Patterns ◽  
Firing Rates ◽  
Theta Frequency ◽  
Cell Firing ◽  
Horizontal Rotations

AbstractWe present a mouse virtual reality (VR) system which restrains head-movements to horizontal rotations, potentially compatible with multi-photon imaging. We show that this system allows expression of the spatial navigational behaviour and neuronal firing patterns characteristic of real open arenas (R). Place and grid, but not head-direction, cell firing had broader spatial tuning in VR than R. Theta frequency increased less with running speed in VR than in R, while firing rates increased similarly in both. Place, but not grid, cell firing was more directional in VR than R. These results suggest that the scale of grid and place cell firing patterns, and the frequency of theta, reflect translational motion inferred from both virtual (visual and proprioceptive) cues and uncontrolled static (vestibular translation and extra-maze) cues, while firing rates predominantly reflect visual and proprioceptive motion. They also suggest that omni-directional place cell firing in R reflects local-cues unavailable in VR.

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 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.

scholarly journals Differential influences of environment and self-motion on place and grid cell firing

2019 ◽  
Vol 10 (1) ◽  
Author(s):  
Guifen Chen ◽  
Yi Lu ◽  
John A King ◽  
Francesca Cacucci ◽  
Neil Burgess
Keyword(s):  
Grid Cell ◽  
Cell Firing ◽  
Self Motion
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