What is he best known for?
The fields of study he is best known for:
- Neuroscience
- Neuron
- Artificial intelligence
His primary areas of study are Antennal lobe, Neuroscience, Odor, Olfactory system and Sex pheromone.
Antennal lobe is closely attributed to Calcium imaging in his work.
His Neuroscience study integrates concerns from other disciplines, such as Neuropeptide, Receptor and Crustacean cardioactive peptide, Ecdysis, Moulting.
His Odor research includes themes of Mushroom bodies, Electrophysiology and Communication.
C. Giovanni Galizia interconnects Stimulus, Attractor, Odor discrimination, Olfaction and Models of neural computation in the investigation of issues within Mushroom bodies.
His research in Olfactory system intersects with topics in Representation, Inhibitory postsynaptic potential and Sensory system.
His most cited work include:
- Role of Inhibition for Temporal and Spatial Odor Representation in Olfactory Output Neurons: A Calcium Imaging Study (340 citations)
- The glomerular code for odor representation is species specific in the honeybee Apis mellifera (286 citations)
- Parallel Olfactory Systems in Insects: Anatomy and Function (242 citations)
What are the main themes of his work throughout his whole career to date?
C. Giovanni Galizia mainly focuses on Neuroscience, Antennal lobe, Odor, Olfactory system and Olfaction.
His work deals with themes such as Mushroom bodies, Insect and Calcium imaging, which intersect with Neuroscience.
His research integrates issues of Drosophila melanogaster and Botany in his study of Calcium imaging.
The concepts of his Antennal lobe study are interwoven with issues in Neuroplasticity, Inhibitory postsynaptic potential, Anatomy and Stimulus onset asynchrony.
His studies in Odor integrate themes in fields like Ecology, Communication, Sex pheromone, Artificial intelligence and Neural activity.
His work is dedicated to discovering how Olfactory system, Antenna are connected with Periplaneta and other disciplines.
He most often published in these fields:
- Neuroscience (57.02%)
- Antennal lobe (42.15%)
- Odor (34.71%)
What were the highlights of his more recent work (between 2015-2021)?
- Neuroscience (57.02%)
- Odor (34.71%)
- Stimulus (19.83%)
In recent papers he was focusing on the following fields of study:
His main research concerns Neuroscience, Odor, Stimulus, Antennal lobe and Olfactory system.
His primary area of study in Neuroscience is in the field of Olfaction.
His Odor research incorporates elements of Neural activity, Sensory neuroscience and Artificial intelligence.
His Stimulus study combines topics from a wide range of disciplines, such as Unconditioned stimulus, Honey Bees and Communication.
His research in Antennal lobe focuses on subjects like Anatomy, which are connected to Sexual dimorphism.
His research investigates the link between Olfactory system and topics such as Pheromone that cross with problems in Antenna, Periplaneta, Stimulation and Sex pheromone.
Between 2015 and 2021, his most popular works were:
- DoOR 2.0 - Comprehensive Mapping of Drosophila melanogaster Odorant Responses (106 citations)
- Ir40a neurons are not DEET detectors. (26 citations)
- A High-Bandwidth Dual-Channel Olfactory Stimulator for Studying Temporal Sensitivity of Olfactory Processing. (22 citations)
In his most recent research, the most cited papers focused on:
- Neuroscience
- Neuron
- Artificial intelligence
His primary scientific interests are in Neuroscience, Sensory system, Odor, Olfactory system and Antennal lobe.
His research in Neuroscience intersects with topics in Classical conditioning, Epigenetics, DNA methylation and Calcium imaging.
The study incorporates disciplines such as Pheromone, Botany, Sex pheromone and Stimulation in addition to Calcium imaging.
His Sensory system study combines topics in areas such as Drosophila melanogaster, Computational biology and Data mining.
He does research in Olfactory system, focusing on Olfactory receptor specifically.
His work carried out in the field of Antennal lobe brings together such families of science as Neuroplasticity, Inhibitory postsynaptic potential and Artificial intelligence.
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