What is he best known for?
The fields of study he is best known for:
- Neuroscience
- Neuron
- Dopamine
His primary scientific interests are in Neuroscience, Cognition, Adherens junction, Cell biology and Alpha catenin.
His study in Neuroscience concentrates on Ventral tegmental area, Dopamine, Rostromedial tegmental nucleus, Odor and Neuron.
His Ventral tegmental area research includes themes of Striatum, GABAergic, Reward system and Channelrhodopsin.
His Odor research is multidisciplinary, incorporating elements of Dorsum and Brain mapping.
His study in Cognition is interdisciplinary in nature, drawing from both Cognitive psychology and Bioinformatics.
His Sensory system study combines topics from a wide range of disciplines, such as Theta rhythm, Olfaction, Olfactory perception and Communication.
His most cited work include:
- Neuron-type-specific signals for reward and punishment in the ventral tegmental area (820 citations)
- Whole-Brain Mapping of Direct Inputs to Midbrain Dopamine Neurons (754 citations)
- Neural correlates, computation and behavioural impact of decision confidence (605 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Neuroscience, Dopamine, Striatum, Optogenetics and Temporal difference learning.
His study in Olfactory system, Odor, Neuron, Sensory system and Olfaction are all subfields of Neuroscience.
Particularly relevant to Ventral tegmental area is his body of work in Dopamine.
His Ventral tegmental area study incorporates themes from Substantia nigra and Pars compacta.
Naoshige Uchida interconnects Dopaminergic, Prefrontal cortex and Inference in the investigation of issues within Temporal difference learning.
As a member of one scientific family, he mostly works in the field of Reinforcement learning, focusing on Cognitive psychology and, on occasion, Neural correlates of consciousness, Metacognition, Neuropsychology and Bioinformatics.
He most often published in these fields:
- Neuroscience (75.28%)
- Dopamine (38.20%)
- Striatum (14.61%)
What were the highlights of his more recent work (between 2017-2021)?
- Neuroscience (75.28%)
- Dopamine (38.20%)
- Temporal difference learning (10.11%)
In recent papers he was focusing on the following fields of study:
Naoshige Uchida mainly investigates Neuroscience, Dopamine, Temporal difference learning, Reinforcement learning and Striatum.
In general Neuroscience, his work in Stimulus, Dorsolateral striatum and Optogenetics is often linked to Extinction and Chemistry linking many areas of study.
His Stimulus research includes themes of Sensory system and Striatal dopamine.
The concepts of his Dopamine study are interwoven with issues in Inference and Computer vision.
While the research belongs to areas of Temporal difference learning, Naoshige Uchida spends his time largely on the problem of Prefrontal cortex, intersecting his research to questions surrounding Hippocampus.
His Reinforcement learning research is multidisciplinary, incorporating perspectives in Cognitive psychology, Encoding, Set and Reinforcement.
Between 2017 and 2021, his most popular works were:
- Functional circuit architecture underlying parental behaviour. (142 citations)
- Dopamine neurons projecting to the posterior striatum reinforce avoidance of threatening stimuli (109 citations)
- A distributional code for value in dopamine-based reinforcement learning (84 citations)
In his most recent research, the most cited papers focused on:
- Neuroscience
- Neuron
- Dopamine
His main research concerns Dopamine, Neuroscience, Reinforcement learning, Reinforcement and Inference.
His Dopamine study frequently draws connections between related disciplines such as Encoding.
Striatum, Optogenetics and Biological neural network are among the areas of Neuroscience where the researcher is concentrating his efforts.
His Reinforcement learning research includes elements of Probabilistic logic, Cognitive science and Signalling.
His study in Reinforcement is interdisciplinary in nature, drawing from both Artificial intelligence, Cognitive neuroscience, Realization and Set.
His Inference study integrates concerns from other disciplines, such as Temporal difference learning, Cognitive psychology, Sensory cue, Dopaminergic and Prefrontal cortex.
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