What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Neuroscience
- Gene
His primary areas of investigation include Neuroscience, Artificial intelligence, Electrophysiology, Neuron and Hippocampal formation.
Many of his studies on Neuroscience involve topics that are commonly interrelated, such as Terminology.
His Artificial intelligence research includes themes of Neuroanatomy, Experimental data, Computer vision and Pattern recognition.
The Electrophysiology study combines topics in areas such as Biological system and Theoretical computer science.
His studies in Neuron integrate themes in fields like Cerebral cortex, Biological neural network and GABAergic.
In his study, Neuronal firing, Pyramidal cell and Pyramidal Neuron is strongly linked to Bursting, which falls under the umbrella field of Hippocampal formation.
His most cited work include:
- Petilla terminology: nomenclature of features of GABAergic interneurons of the cerebral cortex (1104 citations)
- New insights into the classification and nomenclature of cortical GABAergic interneurons (520 citations)
- NeuroMorpho.Org: a central resource for neuronal morphologies. (431 citations)
What are the main themes of his work throughout his whole career to date?
Giorgio A. Ascoli focuses on Neuroscience, Artificial intelligence, Hippocampal formation, Hippocampus and Neuron.
Electrophysiology, Dentate gyrus, Excitatory postsynaptic potential, Bursting and Soma are subfields of Neuroscience in which his conducts study.
His Artificial intelligence study integrates concerns from other disciplines, such as Natural language processing, Cognition, Computer vision and Pattern recognition.
His Hippocampal formation research incorporates themes from Inhibitory postsynaptic potential and Current clamp.
As part of one scientific family, he deals mainly with the area of Hippocampus, narrowing it down to issues related to the Neuron types, and often Neuron type.
Many of his studies involve connections with topics such as Artificial neural network and Neuron.
He most often published in these fields:
- Neuroscience (45.30%)
- Artificial intelligence (23.69%)
- Hippocampal formation (19.86%)
What were the highlights of his more recent work (between 2018-2021)?
- Neuroscience (45.30%)
- Cell type (5.92%)
- Neuron types (7.67%)
In recent papers he was focusing on the following fields of study:
Giorgio A. Ascoli focuses on Neuroscience, Cell type, Neuron types, Hippocampal formation and Hippocampus.
His Neuroscience study frequently draws connections between related disciplines such as Petabyte.
His Neuron types research incorporates elements of Neuron type, Confocal imaging and Cell biology.
His Hippocampal formation study combines topics in areas such as Phenotype, Soma and Electrophysiology.
In his work, Recall and Feature is strongly intertwined with Cognition, which is a subfield of Hippocampus.
His Memorization research is multidisciplinary, incorporating elements of Artificial intelligence and Pattern recognition.
Between 2018 and 2021, his most popular works were:
- A community-based transcriptomics classification and nomenclature of neocortical cell types (29 citations)
- A multimodal cell census and atlas of the mammalian primary motor cortex (20 citations)
- A multimodal cell census and atlas of the mammalian primary motor cortex (20 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Neuroscience
- Gene
Giorgio A. Ascoli mainly focuses on Neuroscience, Cell type, Neuron, Brain atlas and Primary motor cortex.
In general Neuroscience study, his work on Hippocampal formation and Neuroinformatics often relates to the realm of Structuring, thereby connecting several areas of interest.
Giorgio A. Ascoli combines subjects such as Electrophysiology, Inhibitory postsynaptic potential, Excitatory postsynaptic potential, Spike and Bursting with his study of Hippocampal formation.
His Cell type study combines topics from a wide range of disciplines, such as Actin and Genetic Alteration.
His study on Neuron types is often connected to Dendritic architecture as part of broader study in Neuron.
His Brain atlas research includes elements of Chromatin and Computational biology.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
