Path integration maintains spatial periodicity of grid cell firing in a 1D circular track
In an open field, the preferential firing of grid cells on a hexagonal lattice is formed by integrating external as well as self-motion cues. Here, the authors show that on a 1D circular track, path integration cues shape the spatial selectivity of grid ...
Pierre-Yves Jacob +4 more
doaj +1 more source
HexagDLy—Processing hexagonally sampled data with CNNs in PyTorch
HexagDLy is a Python-library extending the PyTorch deep learning framework with convolution and pooling operations on hexagonal grids. It aims to ease the access to convolutional neural networks for applications that rely on hexagonally sampled data as ...
Constantin Steppa, Tim L. Holch
doaj +1 more source
Geometry of Neighborhood Sequences in Hexagonal Grid [PDF]
In this paper the nodes of the hexagonal grid are used as points Three types of neighbors are used on this grid, therefore neighborhood sequences contain values 1, 2 and 3 The grid is coordinatized by three coordinates in a symmetric way Digital circles are classified based on digital distances using neighborhood sequences They can be triangle, hexagon,
openaire +1 more source
A Functional 2D Carbon Allotrope Combining Nanoporous Graphene and Biphenylene Segments
The synthesis of a novel nanoporous graphene (NPG) is reported with biphenylene segments via thermal fusion of 12‐armchair porous graphene nanoribbons grown on gold surfaces. Characterization using STM, AFM, and DFT reveals low‐defect semiconducting behaviour and tunable band gaps.
Paula Angulo‐Portugal +14 more
wiley +1 more source
Grid cells on steeply sloping terrain: evidence for planar rather than volumetric encoding
Neural encoding of navigable space involves a network of structures centred on the hippocampus, whose neurons –place cells – encode current location. Input to the place cells includes afferents from the entorhinal cortex, which contains grid cells. These
Robin Michael Andrew Hayman +3 more
doaj +1 more source
How entorhinal grid cells may learn multiple spatial scales from a dorsoventral gradient of cell response rates in a self-organizing map. [PDF]
Place cells in the hippocampus of higher mammals are critical for spatial navigation. Recent modeling clarifies how this may be achieved by how grid cells in the medial entorhinal cortex (MEC) input to place cells.
Stephen Grossberg, Praveen K Pilly
doaj +1 more source
Opportunities of Semiconducting Oxide Nanostructures as Advanced Luminescent Materials in Photonics
The review discusses the challenges of wide and ultrawide bandgap semiconducting oxides as a suitable material platform for photonics. They offer great versatility in terms of tuning microstructure, native defects, doping, anisotropy, and micro‐ and nano‐structuring. The review focuses on their light emission, light‐confinement in optical cavities, and
Ana Cremades +7 more
wiley +1 more source
The Impact of Curviness on Four Different Image Sensor Forms and Structures
The arrangement and form of the image sensor have a fundamental effect on any further image processing operation and image visualization. In this paper, we present a software-based method to change the arrangement and form of pixel sensors that generate ...
Wei Wen, Siamak Khatibi
doaj +1 more source
A fast grid generation algorithm for local irregular parts of hexagonal discrete global grid systems
Discrete Global Grid Systems (DGGS) provide a multi-resolution discrete representation of the Earth and are preferable for the organization, integration, and analysis of large and multi-source geospatial datasets.
Jianbin Zhou (1689034) +4 more
core +1 more source
Spin‐Split Edge States in Metal‐Supported Graphene Nanoislands Obtained by CVD
Combining STM measurements and ab‐initio calculations, we show that zig‐zag edges in graphene nanoislands grown on Ni(111) by CVD retrieve their spin‐polarized edge states after intercalation of a few monolayers of Au. ABSTRACT Spin‐split states localized on zigzag edges have been predicted for different free‐standing graphene nanostructures.
Michele Gastaldo +6 more
wiley +1 more source

