What is he best known for?
The fields of study he is best known for:
Florian Engert mainly investigates Neuroscience, Zebrafish, Biological neural network, Nerve net and Context.
His Neuroscience study combines topics in areas such as Synaptic plasticity and Long-term potentiation.
His Long-term potentiation research is multidisciplinary, relying on both Spine apparatus and Bioinformatics.
His Zebrafish study integrates concerns from other disciplines, such as Neuropeptide, Sensory system, Anatomy and Photoprotein.
His biological study spans a wide range of topics, including Electron microscope, Brain mapping and Microscopy.
Spinal cord and Motor learning is closely connected to Calcium imaging in his research, which is encompassed under the umbrella topic of Nerve net.
His most cited work include:
- Dendritic spine changes associated with hippocampal long-term synaptic plasticity (1455 citations)
- Optimization of a GCaMP calcium indicator for neural activity imaging. (880 citations)
- Brain-wide neuronal dynamics during motor adaptation in zebrafish (439 citations)
What are the main themes of his work throughout his whole career to date?
Florian Engert focuses on Neuroscience, Zebrafish, Zebrafish larvae, Sensory system and Calcium imaging.
His Neuroscience research incorporates themes from Hindbrain and Anatomy.
His work carried out in the field of Zebrafish brings together such families of science as Optomotor response, Nerve net, Brain mapping and Cell biology.
His research on Zebrafish larvae also deals with topics like
- Artificial intelligence and related Animal cognition,
- Machine learning which is related to area like Probabilistic logic.
His Sensory system research includes elements of Hypothalamus, Stimulation, Lateral hypothalamus and Serotonergic.
His research integrates issues of Sensory cue and Premovement neuronal activity in his study of Visual perception.
He most often published in these fields:
- Neuroscience (60.75%)
- Zebrafish (37.38%)
- Zebrafish larvae (27.10%)
What were the highlights of his more recent work (between 2018-2021)?
- Zebrafish (37.38%)
- Neuroscience (60.75%)
- Zebrafish larvae (27.10%)
In recent papers he was focusing on the following fields of study:
Florian Engert mostly deals with Zebrafish, Neuroscience, Zebrafish larvae, Calcium imaging and Sensory system.
Many of his studies on Zebrafish apply to Bioinformatics as well.
He combines subjects such as Hindbrain and Appetite with his study of Neuroscience.
His Zebrafish larvae research is multidisciplinary, incorporating perspectives in Machine learning, Projection, Artificial intelligence and Appetite control.
The study incorporates disciplines such as Olfactory receptor, Olfactory system and Cell biology in addition to Calcium imaging.
Florian Engert interconnects Algorithm, Phototaxis and Luminance in the investigation of issues within Sensory system.
Between 2018 and 2021, his most popular works were:
- Probabilistic Models of Larval Zebrafish Behavior Reveal Structure on Many Scales (34 citations)
- Distributed Plasticity Drives Visual Habituation Learning in Larval Zebrafish. (28 citations)
- Neural circuits for evidence accumulation and decision making in larval zebrafish. (27 citations)
In his most recent research, the most cited papers focused on:
Florian Engert mainly focuses on Neuroscience, Zebrafish, Artificial intelligence, Zebrafish larvae and Machine learning.
Neuroscience and Population are two areas of study in which Florian Engert engages in interdisciplinary work.
His work on Representation and Artificial neural network as part of general Artificial intelligence study is frequently linked to Adaptive behavior, therefore connecting diverse disciplines of science.
His Zebrafish larvae research incorporates elements of Stimulus and Habituation.
His studies deal with areas such as Probabilistic logic, Food seeking and Animal cognition as well as Machine learning.
Florian Engert has researched Sensory system in several fields, including Hindbrain, Hypothalamus, Biological neural network and Serotonergic, Serotonin.
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