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Generation of an enhancer-driven gene expression viral tool specific to dentate granule cell-types through direct hippocampal injection
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 …
connected to form complex neuronal circuits. By investigating properties such as the genetic …
Graph representation learning for large-scale neuronal morphological analysis
The analysis of neuronal morphological data is essential to investigate the neuronal
properties and brain mechanisms. The complex morphologies, absence of annotations, and …
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 …
dedicadas a la actividad agrícola, se obtuvo información documental de estudios realizados …
Neuromorphic networks as revealed by features similarity
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 …
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
Brain circuit development involves tremendous structural formation and rearrangement of
dendrites, axons, and the synaptic connections between them. Direct studies of neuronal …
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 …
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 …
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 …
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
Neuron shape and connectivity affect function. Modern imaging methods have proven
successful at extracting morphological information. One potential path to achieve analysis of …
successful at extracting morphological information. One potential path to achieve analysis of …
A method for the symbolic representation of neurons
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 …
emergence of novel methods which provide new insights into the organization of the …