What is he best known for?
The fields of study he is best known for:
- Neuroscience
- Artificial intelligence
- Visual perception
His primary areas of study are Binocular disparity, Neuroscience, Binocular neurons, Stereopsis and Perception.
His research integrates issues of Stereoscopic depth, Random dot stereogram, Communication and Macaque in his study of Binocular disparity.
Bruce G. Cumming has researched Binocular neurons in several fields, including Depth perception, Extrastriate cortex and Primate.
Visual perception is closely connected to Eye movement in his research, which is encompassed under the umbrella topic of Depth perception.
His biological study spans a wide range of topics, including Monocular and Binocular vision.
His work carried out in the field of Perception brings together such families of science as Sensory cortex, Sensory system and Cognition.
His most cited work include:
- Responses of primary visual cortical neurons to binocular disparity without depth perception (356 citations)
- Cortical area MT and the perception of stereoscopic depth (353 citations)
- The physiology of stereopsis. (330 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Neuroscience, Artificial intelligence, Visual cortex, Computer vision and Binocular disparity.
The Artificial intelligence study combines topics in areas such as Depth perception, Optics and Pattern recognition.
His work deals with themes such as Stimulus, Binocular vision, Communication and Vision Disparity, which intersect with Visual cortex.
His Computer vision research is multidisciplinary, relying on both Visual processing and Models of neural computation.
Binocular disparity is a subfield of Stereopsis that Bruce G. Cumming investigates.
His Binocular neurons research incorporates themes from Energy and Extrastriate cortex.
He most often published in these fields:
- Neuroscience (36.20%)
- Artificial intelligence (31.29%)
- Visual cortex (28.22%)
What were the highlights of his more recent work (between 2014-2020)?
- Neuroscience (36.20%)
- Stimulus (19.63%)
- Visual cortex (28.22%)
In recent papers he was focusing on the following fields of study:
Bruce G. Cumming mainly investigates Neuroscience, Stimulus, Visual cortex, Artificial intelligence and Eye movement.
In general Neuroscience, his work in Sensory system, Perception, Visual system and Neural coding is often linked to Sensitivity linking many areas of study.
His studies in Visual cortex integrate themes in fields like Stereopsis, Speech recognition, Photic Stimulation and Contrast.
His studies deal with areas such as Artificial neural network and Binocular neurons as well as Stereopsis.
He is involved in the study of Artificial intelligence that focuses on Binocular disparity in particular.
The concepts of his Eye movement study are interwoven with issues in Monocular and Binocular vision.
Between 2014 and 2020, his most popular works were:
- Feedback determines the structure of correlated variability in primary visual cortex. (74 citations)
- Feedforward and feedback sources of choice probability in neural population responses. (54 citations)
- Saccadic modulation of stimulus processing in primary visual cortex. (48 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Neuroscience
- Visual perception
Bruce G. Cumming mostly deals with Stimulus, Visual cortex, Neuroscience, Artificial intelligence and Sensory system.
His Stimulus research integrates issues from Developmental psychology, Visual field, Eye movement and Salience.
When carried out as part of a general Neuroscience research project, his work on Sensory neuron and Photic Stimulation is frequently linked to work in Systems neuroscience and Wakefulness, therefore connecting diverse disciplines of study.
The various areas that Bruce G. Cumming examines in his Artificial intelligence study include Depth perception, Communication, Visual processing and Computer vision.
As part of one scientific family, he deals mainly with the area of Depth perception, narrowing it down to issues related to the Stereopsis, and often Artificial neural network.
His Sensory system study integrates concerns from other disciplines, such as Correlation, Spike count, Perception and Premovement neuronal activity.
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