What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Quantum mechanics
- Machine learning
The scientist’s investigation covers issues in Cognition, Artificial intelligence, Mathematics education, Educational technology and Pedagogy.
His studies in Cognition integrate themes in fields like Cognitive psychology, Learning theory, Perception and Human–computer interaction.
The various areas that he examines in his Learning theory study include Education theory and Cognitive reframing.
His studies deal with areas such as Stability, Adaptive behavior and Dynamical system as well as Artificial intelligence.
The concepts of his Mathematics education study are interwoven with issues in Social constructionism and Competence.
His Educational technology research integrates issues from International development and Instructional design.
His most cited work include:
- Learning with Media (1206 citations)
- Will media influence learning? Reframing the debate (848 citations)
- Multimedia and understanding: Expert and novice responses to different representations of chemical phenomena (557 citations)
What are the main themes of his work throughout his whole career to date?
Robert Kozma mostly deals with Artificial intelligence, Artificial neural network, Cognition, Pattern recognition and Electroencephalography.
Robert Kozma frequently studies issues relating to Machine learning and Artificial intelligence.
His study in Artificial neural network is interdisciplinary in nature, drawing from both Neuro-fuzzy and Pattern recognition.
Robert Kozma usually deals with Cognition and limits it to topics linked to Cognitive science and Consciousness.
His study looks at the relationship between Chaotic and fields such as Attractor, as well as how they intersect with chemical problems.
His Spiking neural network research incorporates elements of Synapse and Robustness.
He most often published in these fields:
- Artificial intelligence (49.18%)
- Artificial neural network (26.36%)
- Cognition (20.92%)
What were the highlights of his more recent work (between 2017-2021)?
- Artificial intelligence (49.18%)
- Spiking neural network (8.42%)
- Pattern recognition (12.50%)
In recent papers he was focusing on the following fields of study:
Robert Kozma mainly focuses on Artificial intelligence, Spiking neural network, Pattern recognition, Cognition and Unsupervised learning.
His study in Reinforcement learning, Deep learning, Robustness, Contextual image classification and Artificial neural network falls within the category of Artificial intelligence.
In his study, Computer engineering and Neuron is strongly linked to Synapse, which falls under the umbrella field of Spiking neural network.
His research in Pattern recognition intersects with topics in MNIST database, Brain state, Feature and Information measure.
His Cognition research is included under the broader classification of Neuroscience.
His Unsupervised learning research focuses on Cluster analysis and how it relates to Lattice.
Between 2017 and 2021, his most popular works were:
- BindsNET: A Machine Learning-Oriented Spiking Neural Networks Library in Python. (52 citations)
- Unsupervised Learning with Self-Organizing Spiking Neural Networks (28 citations)
- The rhythm of memory: how breathing shapes memory function (27 citations)
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