What is he best known for?
The fields of study he is best known for:
- Neuroscience
- Neuron
- Artificial intelligence
His primary scientific interests are in Neuroscience, Neuromuscular junction, Postsynaptic potential, Synapse and Axon.
His Neuroscience study combines topics in areas such as Dok-7 and Anatomy.
His Neuromuscular junction research incorporates elements of Endocrinology, Neurotransmission, Cell biology, Synaptogenesis and Internal medicine.
His work carried out in the field of Postsynaptic potential brings together such families of science as Acetylcholine and Neurotransmitter receptor.
His research integrates issues of Neocortex and Motor nerve in his study of Synapse.
His biological study spans a wide range of topics, including Reinnervation, Stimulation, Intracellular, Organelle and In vivo.
His most cited work include:
- Imaging neuronal subsets in transgenic mice expressing multiple spectral variants of GFP. (2478 citations)
- Transgenic strategies for combinatorial expression of fluorescent proteins in the nervous system (1357 citations)
- Development of the vertebrate neuromuscular junction. (1272 citations)
What are the main themes of his work throughout his whole career to date?
Jeff W. Lichtman mostly deals with Neuroscience, Neuromuscular junction, Synapse, Anatomy and Axon.
Jeff W. Lichtman has included themes like Synaptic plasticity, Postsynaptic potential and Neurotransmission in his Neuroscience study.
His Postsynaptic potential research incorporates elements of Neurotransmitter and Synaptogenesis.
His Neuromuscular junction study integrates concerns from other disciplines, such as Biophysics, Acetylcholine receptor, Agrin, Motor nerve and Cell biology.
The Anatomy study combines topics in areas such as Motor neuron and Spinal cord.
As a member of one scientific family, Jeff W. Lichtman mostly works in the field of Axon, focusing on Artificial intelligence and, on occasion, Electron microscope.
He most often published in these fields:
- Neuroscience (43.45%)
- Neuromuscular junction (21.38%)
- Synapse (17.93%)
What were the highlights of his more recent work (between 2016-2021)?
- Neuroscience (43.45%)
- Connectomics (12.76%)
- Artificial intelligence (15.52%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Neuroscience, Connectomics, Artificial intelligence, Electron microscope and Anatomy.
The various areas that Jeff W. Lichtman examines in his Neuroscience study include Postsynaptic potential and Microscopy.
Neuromuscular junction is closely connected to Purkinje cell in his research, which is encompassed under the umbrella topic of Postsynaptic potential.
His study in Artificial intelligence is interdisciplinary in nature, drawing from both Error detection and correction, Computer vision and Pattern recognition.
His Electron microscope study combines topics from a wide range of disciplines, such as Biophysics, Resolution, Cone and Scanning electron microscope.
His work in Anatomy addresses subjects such as Dendritic spine, which are connected to disciplines such as Spine, Dendrite and Human brain.
Between 2016 and 2021, his most popular works were:
- Cell diversity and network dynamics in photosensitive human brain organoids (471 citations)
- Whole-brain serial-section electron microscopy in larval zebrafish (164 citations)
- Inhibitory circuit gating of auditory critical-period plasticity. (85 citations)
In his most recent research, the most cited papers focused on:
- Neuroscience
- Neuron
- Artificial intelligence
His primary areas of study are Neuroscience, Connectomics, Artificial intelligence, Electron microscope and Pattern recognition.
His work on Neuroscience deals in particular with Nervous system, Sensory system, Interneuron, Inhibitory postsynaptic potential and Retina.
As a part of the same scientific study, he usually deals with the Retina, concentrating on Dendritic spine and frequently concerns with Anatomy.
His Connectomics study incorporates themes from GABAergic, Hindbrain, Scanning electron microscope and Calcium imaging.
He interconnects Serial section, Resolution and Biomedical engineering in the investigation of issues within Electron microscope.
His work on Image segmentation as part of general Pattern recognition research is often related to Proofreading, thus linking different fields of science.
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.
