Results 51 to 60 of about 1,231,821 (322)

Robust variability of grid cell properties within individual grid modules enhances encoding of local space

open access: yeseLife
Although grid cells are one of the most well-studied functional classes of neurons in the mammalian brain, whether there is a single orientation and spacing value per grid module has not been carefully tested. We analyze a recent large-scale recording of
William T Redman   +3 more
doaj   +1 more source

Representation of nonspatial and spatial information in the lateral entorhinal cortex

open access: yesFrontiers in Behavioral Neuroscience, 2011
Some theories of memory propose that the hippocampus integrates the individual items and events of experience within a contextual or spatial framework.
Sachin S Deshmukh   +3 more
doaj   +1 more source

Interaction of Norepinephrine and Glucocorticoids Modulate Inhibition of Principle Cells of Layer II Medial Entorhinal Cortex in Male Mice

open access: yesFrontiers in Synaptic Neuroscience, 2018
Spatial memory processing requires functional interaction between the hippocampus and the medial entorhinal cortex (MEC). The grid cells of the MEC are most abundant in layer II and rely on a complex network of local inhibitory interneurons to generate ...
Jeremiah P. Hartner   +2 more
doaj   +1 more source

Probabilistic Learning by Rodent Grid Cells. [PDF]

open access: yesPLoS Comput Biol, 2016
Mounting evidence shows mammalian brains are probabilistic computers, but the specific cells involved remain elusive. Parallel research suggests that grid cells of the mammalian hippocampal formation are fundamental to spatial cognition but their diverse response properties still defy explanation.
Cheung A.
europepmc   +7 more sources

Simulating streamer discharges in 3D with the parallel adaptive Afivo framework [PDF]

open access: yes, 2017
We present an open-source plasma fluid code for 2D, cylindrical and 3D simulations of streamer discharges, based on the Afivo framework that features adaptive mesh refinement, geometric multigrid methods for Poisson's equation, and OpenMP parallelism. We
Ebert, Ute, Teunissen, Jannis
core   +3 more sources

Fully Convolutional Neural Networks for Dynamic Object Detection in Grid Maps

open access: yes, 2017
Grid maps are widely used in robotics to represent obstacles in the environment and differentiating dynamic objects from static infrastructure is essential for many practical applications. In this work, we present a methods that uses a deep convolutional
Piewak, Florian   +3 more
core   +1 more source

Realization of a 10 kW MES power to methane plant based on unified AC/DC converter [PDF]

open access: yes, 2018
This paper presents a galvanic isolated multi output AC/DC topology that is suitable for Microbial electrosynthesis (MES) based Power to Methane energy storage systems.
Bosch, Pau   +4 more
core   +1 more source

On the optimality of grid cells

open access: yesCoRR, 2016
Grid cells, discovered more than a decade ago [5], are neurons in the brain of mammals that fire when the animal is located near certain specific points in its familiar terrain. Intriguingly, these points form, for a single cell, a two-dimensional triangular grid, not unlike our Figure 3.
openaire   +2 more sources

Disrupting the Grid Cells’ Need for Speed [PDF]

open access: yesNeuron, 2016
Hinman et al. demonstrate the presence of two speed signals in the rodent medial entorhinal cortex that are differentially affected by muscimol inactivation of medial septum. The results reveal important constraints on several computational models of grid cell firing.
Hayman, R, Burgess, N
openaire   +3 more sources

GABAA Receptor Subunit α3 in Network Dynamics in the Medial Entorhinal Cortex

open access: yesFrontiers in Systems Neuroscience, 2019
Layer II of the medial entorhinal cortex (MEC LII) contains the largest number of spatially modulated grid cells and is one of the first regions in the brain to express Alzheimer’s disease (AD)-related pathology.
Nina Berggaard   +2 more
doaj   +1 more source

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