What is he best known for?
The fields of study he is best known for:
- Neuroscience
- Neuron
- Artificial intelligence
Zachary F. Mainen mainly focuses on Neuroscience, Electrophysiology, Neurotransmission, Neural backpropagation and Soma.
He studies Olfaction, a branch of Neuroscience.
His studies in Electrophysiology integrate themes in fields like Cerebral cortex and Stimulus.
His Stimulus research includes themes of Neocortex, Photostimulation, Central nervous system and Cortical neurons.
His research integrates issues of Synaptic plasticity, Long-term potentiation and Postsynaptic potential in his study of Neurotransmission.
Zachary F. Mainen has included themes like Biophysics, Neuron and Ion channel in his Soma study.
His most cited work include:
- Reliability of spike timing in neocortical neurons (1604 citations)
- Influence of dendritic structure on firing pattern in model neocortical neurons (1025 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?
His scientific interests lie mostly in Neuroscience, Serotonin, Optogenetics, Dorsal raphe nucleus and Sensory system.
His research investigates the connection between Neuroscience and topics such as Serotonergic that intersect with problems in Anatomy.
His work carried out in the field of Serotonin brings together such families of science as Stimulus and Cognitive flexibility.
His Dorsal raphe nucleus study combines topics in areas such as Sensory motor, Visual perception, Forebrain and Neurochemical.
His biological study spans a wide range of topics, including Superior colliculus, Perception and Artificial intelligence.
His Stimulation research is multidisciplinary, incorporating elements of Photostimulation, Cognition and Neuron.
He most often published in these fields:
- Neuroscience (68.55%)
- Serotonin (16.13%)
- Optogenetics (14.52%)
What were the highlights of his more recent work (between 2017-2021)?
- Optogenetics (14.52%)
- Neuroscience (68.55%)
- Artificial intelligence (8.06%)
In recent papers he was focusing on the following fields of study:
His main research concerns Optogenetics, Neuroscience, Artificial intelligence, Dorsal raphe nucleus and Machine learning.
His study in Neuroscience focuses on Olfactory system and Piriform cortex.
His work on Bayesian probability as part of general Artificial intelligence research is often related to Context and A priori and a posteriori, thus linking different fields of science.
Dorsal raphe nucleus and Stimulation are commonly linked in his work.
His research in Machine learning intersects with topics in Reinforcement and Bayesian inference.
His Serotonergic research integrates issues from Photostimulation, Arousal, Cognition and Neuroplasticity.
Between 2017 and 2021, his most popular works were:
- Activation of serotonin neurons promotes active persistence in a probabilistic foraging task. (39 citations)
- An effect of serotonergic stimulation on learning rates for rewards apparent after long intertrial intervals. (37 citations)
- Relationship between odor intensity estimates and COVID-19 prevalence prediction in a Swedish population. (26 citations)
In his most recent research, the most cited papers focused on:
- Neuroscience
- Neuron
- Artificial intelligence
Artificial intelligence, Machine learning, Rodent, Stimulus and Dorsal raphe nucleus are his primary areas of study.
His Learning rule and Bayesian probability study in the realm of Artificial intelligence connects with subjects such as Speed accuracy and Trial and error.
His studies deal with areas such as Sensory system, Reinforcement, Perception and Bayesian inference as well as Machine learning.
His Stimulus research includes elements of Bounded function and Discriminative model.
His Dorsal raphe nucleus study incorporates themes from Probabilistic logic and Neuroscience, Optogenetics.
His Neuroscience study frequently draws connections between related disciplines such as Serotonergic.
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