What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Neuroscience
- Neuron
David W. Tank mainly focuses on Neuroscience, Biophysics, Anatomy, Spinal fMRI and Nuclear magnetic resonance.
In his study, he carries out multidisciplinary Neuroscience and Cellular resolution research.
His research in Biophysics intersects with topics in Synaptic augmentation, Photobleaching and Electrophysiology.
The concepts of his Anatomy study are interwoven with issues in Apical dendrite, Calcium, Membrane potential and Fluorescence-lifetime imaging microscopy.
David W. Tank has researched Spinal fMRI in several fields, including Functional magnetic resonance spectroscopy of the brain, Blood flow, Venous blood, Oxygenation and Signal.
His Oxygenation research is multidisciplinary, incorporating elements of Blood vessel, Blood-oxygen-level dependent and Contrast.
His most cited work include:
- Neural computation of decisions in optimization problems (5006 citations)
- Brain magnetic resonance imaging with contrast dependent on blood oxygenation (4917 citations)
- INTRINSIC SIGNAL CHANGES ACCOMPANYING SENSORY STIMULATION: FUNCTIONAL BRAIN MAPPING WITH MAGNETIC RESONANCE IMAGING (3025 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Neuroscience, Biophysics, Sensory system, Calcium and Electrophysiology.
The study incorporates disciplines such as Integrator and Calcium imaging in addition to Neuroscience.
The various areas that David W. Tank examines in his Calcium imaging study include Visual cortex, Artificial intelligence and Pattern recognition.
His Biophysics study combines topics in areas such as Postsynaptic potential and Anatomy.
His work in Calcium addresses issues such as Long-term potentiation, which are connected to fields such as Neurotransmission.
His biological study spans a wide range of topics, including Stimulation and Membrane potential.
He most often published in these fields:
- Neuroscience (42.86%)
- Biophysics (18.37%)
- Sensory system (9.69%)
What were the highlights of his more recent work (between 2016-2021)?
- Neuroscience (42.86%)
- Sensory system (9.69%)
- Calcium imaging (8.67%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Neuroscience, Sensory system, Calcium imaging, Artificial intelligence and Hippocampal formation.
David W. Tank regularly links together related areas like Virtual reality in his Neuroscience studies.
His Sensory system research incorporates elements of Stimulus, Cognitive variables, Pulsatile flow and Pulse.
His Calcium imaging research includes themes of Neocortex, Computer hardware and Visual cortex.
His Artificial intelligence study incorporates themes from Machine learning, Filter, Metric and Pattern recognition.
His Hippocampal formation research is multidisciplinary, relying on both Hippocampus and Neuron.
Between 2016 and 2021, his most popular works were:
- Mapping of a non-spatial dimension by the hippocampal–entorhinal circuit (273 citations)
- CaImAn an open source tool for scalable calcium imaging data analysis. (172 citations)
- Specialized coding of sensory, motor and cognitive variables in VTA dopamine neurons (125 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Neuroscience
- Neuron
His primary areas of study are Neuroscience, Calcium imaging, Sensory system, Hippocampal formation and Cognitive variables.
His study deals with a combination of Neuroscience and Position.
David W. Tank combines subjects such as Pyramidal cell, Attractor, Neural activity, Visual cortex and Biomedical engineering with his study of Calcium imaging.
His study in Sensory system is interdisciplinary in nature, drawing from both Neocortex, Biological neural network, Grid cell and Pattern recognition.
His research integrates issues of Sensory cue and Hippocampus in his study of Hippocampal formation.
His study looks at the intersection of Cognitive variables and topics like Virtual reality with Stimulus and Spatial memory.
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.
