Generation of an enhancer-driven gene expression viral tool specific to dentate granule cell-types through direct hippocampal injection

ML Potenza, S Blankvoort, MM Carvalho… - Frontiers in …, 2024 - frontiersin.org
The mammalian brain contains an enormous number of neurons, that are all intricately
connected to form complex neuronal circuits. By investigating properties such as the genetic …

Graph representation learning for large-scale neuronal morphological analysis

J Zhao, X Chen, Z **ong, ZJ Zha… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The analysis of neuronal morphological data is essential to investigate the neuronal
properties and brain mechanisms. The complex morphologies, absence of annotations, and …

La NIC 41 y su incidencia en la valoración de los activos biológicos de las empresas dedicadas a la actividad agrícola

O Arrocha - Revista FAECO sapiens, 2022 - revistas.up.ac.pa
Esta investigación tiene como objetivo conocer la aplicación de la NIC 41 en las empresas
dedicadas a la actividad agrícola, se obtuvo información documental de estudios realizados …

Neuromorphic networks as revealed by features similarity

A Benatti, HF de Arruda, LF Costa - arxiv preprint arxiv:2207.10571, 2022 - arxiv.org
The study of neuronal morphology is important not only for its potential relationship with
neuronal dynamics, but also as a means to classify diverse types of cells and compare than …

Quantifying neuronal structural changes over time using dynamic morphometrics

PW Hogg, P Coleman, TD Toth, K Haas - Trends in Neurosciences, 2022 - cell.com
Brain circuit development involves tremendous structural formation and rearrangement of
dendrites, axons, and the synaptic connections between them. Direct studies of neuronal …

Morphological classification of neurons based on Sugeno fuzzy integration and multi-classifier fusion

F He, G Li, H Song - Scientific Reports, 2024 - nature.com
In order to extract more important morphological features of neuron images and achieve
accurate classification of the neuron type, a method is proposed that uses Sugeno fuzzy …

Multi-level feature fusion network for neuronal morphology classification

C Sun, F Zhao - Frontiers in Neuroscience, 2024 - frontiersin.org
Neuronal morphology can be represented using various feature representations, such as
hand-crafted morphometrics and deep features. These features are complementary to each …

New morphological features based on the Sholl analysis for automatic classification of traced neurons

JD López-Cabrera, LA Hernández-Pérez… - Journal of Neuroscience …, 2020 - Elsevier
Background This article addresses the automatic classification of reconstructed neurons
through their morphological features. The purpose was to extend the capabilities of the L …

Neuropath2path: classification and elastic morphing between neuronal arbors using path-wise similarity

T Batabyal, B Condron, ST Acton - Neuroinformatics, 2020 - Springer
Neuron shape and connectivity affect function. Modern imaging methods have proven
successful at extracting morphological information. One potential path to achieve analysis of …

A method for the symbolic representation of neurons

JJ Aliaga Maraver, S Mata… - Frontiers in …, 2018 - frontiersin.org
The field of neuroanatomy has progressed considerably in recent decades, thanks to the
emergence of novel methods which provide new insights into the organization of the …