What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Neuroscience
- Neuron
His primary scientific interests are in Neuroscience, Basal ganglia, Action selection, Dopamine and Striatum.
His Complex system research extends to Neuroscience, which is thematically connected.
His studies in Basal ganglia integrate themes in fields like Tonic, Biological neuron model and Artificial intelligence.
His studies deal with areas such as Prefrontal cortex, Reward system and Amygdala as well as Dopamine.
His biological study spans a wide range of topics, including Neocortex, Dopaminergic and Set.
Mark D. Humphries interconnects Extinction, Synapse and Inhibitory postsynaptic potential in the investigation of issues within Reinforcement learning.
His most cited work include:
- Network 'small-world-ness': a quantitative method for determining canonical network equivalence. (816 citations)
- The brainstem reticular formation is a small-world, not scale-free, network (451 citations)
- A physiologically plausible model of action selection and oscillatory activity in the basal ganglia. (290 citations)
What are the main themes of his work throughout his whole career to date?
Mark D. Humphries mostly deals with Neuroscience, Basal ganglia, Striatum, Action selection and Artificial intelligence.
His work in the fields of Neuroscience, such as Dopamine, Prefrontal cortex, Medium spiny neuron and Neuron, intersects with other areas such as Subthalamic nucleus.
His work in the fields of Dopamine, such as Dopaminergic, overlaps with other areas such as Chemistry.
His work carried out in the field of Basal ganglia brings together such families of science as Nucleus accumbens, Ventral striatum and Cognition.
His study explores the link between Striatum and topics such as Cervical dystonia that cross with problems in Focal dystonia.
His Artificial intelligence research incorporates elements of Machine learning and Set.
He most often published in these fields:
- Neuroscience (80.19%)
- Basal ganglia (55.66%)
- Striatum (33.96%)
What were the highlights of his more recent work (between 2018-2021)?
- Neuroscience (80.19%)
- Cervical dystonia (9.43%)
- Basal ganglia (55.66%)
In recent papers he was focusing on the following fields of study:
Mark D. Humphries spends much of his time researching Neuroscience, Cervical dystonia, Basal ganglia, Prefrontal cortex and Focal dystonia.
His work on Sleep in non-human animals and Neuroplasticity is typically connected to Male rats, Context and EPIC as part of general Neuroscience study, connecting several disciplines of science.
He conducts interdisciplinary study in the fields of Cervical dystonia and Plasticity through his research.
As part of his studies on Basal ganglia, Mark D. Humphries often connects relevant subjects like Cognitive science.
His research in Prefrontal cortex intersects with topics in Population code, Neural coding and Coding.
His Focal dystonia study frequently intersects with other fields, such as Striatum.
Between 2018 and 2021, his most popular works were:
- Maladaptive striatal plasticity and abnormal reward-learning in cervical dystonia. (12 citations)
- Maladaptive striatal plasticity and abnormal reward-learning in cervical dystonia. (12 citations)
- Prediction of Choice from Competing Mechanosensory and Choice-Memory Cues during Active Tactile Decision Making (11 citations)
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