What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Quantum mechanics
- Neuroscience
His primary areas of investigation include Neuroscience, Electroencephalography, Olfactory bulb, Sensory system and Communication.
Many of his studies on Neuroscience apply to Action as well.
His Electroencephalography research is multidisciplinary, incorporating elements of Coherence, Amplitude, Spectral line, Statistical physics and Nuclear magnetic resonance.
The concepts of his Olfactory bulb study are interwoven with issues in Classical conditioning, Olfactory system, Limbic system, Odor and Olfaction.
His Olfactory system research includes elements of Chaotic, Pattern recognition, Pattern recognition and Visual cortex.
The Sensory system study combines topics in areas such as Stimulus and Perception.
His most cited work include:
- How brains make chaos in order to make sense of the world (1704 citations)
- Mass action in the nervous system (1467 citations)
- The Physiology of Perception (723 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Electroencephalography, Neuroscience, Artificial intelligence, Sensory system and Chaotic.
His work deals with themes such as Phase, Communication, Neocortex, Amplitude and Statistical physics, which intersect with Electroencephalography.
His work carried out in the field of Artificial intelligence brings together such families of science as Neurophysiology, Brain activity and meditation, Olfactory system and Pattern recognition.
His studies in Sensory system integrate themes in fields like State variable and Perception.
He has researched Perception in several fields, including Cognitive science, Cognition and Action.
His Chaotic research is multidisciplinary, relying on both Attractor and Nonlinear system.
He most often published in these fields:
- Electroencephalography (29.45%)
- Neuroscience (28.74%)
- Artificial intelligence (27.08%)
What were the highlights of his more recent work (between 2007-2017)?
- Electroencephalography (29.45%)
- Artificial intelligence (27.08%)
- Neuroscience (28.74%)
In recent papers he was focusing on the following fields of study:
Walter J. Freeman focuses on Electroencephalography, Artificial intelligence, Neuroscience, Sensory system and Amplitude.
His Electroencephalography study focuses on Brain activity and meditation in particular.
His studies examine the connections between Artificial intelligence and genetics, as well as such issues in Pattern recognition, with regards to Frame rate.
His biological study spans a wide range of topics, including Rhythm and Action.
His Sensory system research incorporates themes from Neurophysiology, Stimulus, Thermodynamic system, Dissipation and Carnot cycle.
His research integrates issues of Olfactory system, Neocortex, Chaotic, Attractor and Limbic system in his study of Perception.
Between 2007 and 2017, his most popular works were:
- The Bayesian brain: Phantom percepts resolve sensory uncertainty (109 citations)
- Simulated power spectral density (PSD) of background electrocorticogram (ECoG) (109 citations)
- Imaging Brain Function With EEG: Advanced Temporal and Spatial Analysis of Electroencephalographic Signals (77 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Quantum mechanics
- Neuroscience
Walter J. Freeman mainly focuses on Neuroscience, Artificial intelligence, Electroencephalography, Sensory system and Statistical physics.
His Neuroscience research is multidisciplinary, incorporating perspectives in Cognitive science and Rhythm.
His Artificial intelligence research is multidisciplinary, relying on both Attractor, Frequency band, Cognition and Pattern recognition.
Specifically, his work in Electroencephalography is concerned with the study of Brain activity and meditation.
His Sensory system research is multidisciplinary, incorporating elements of Mechanism, Neurophysiology and Action.
His Statistical physics study incorporates themes from Entropy, Phase transition, Quantum field theory and Dissipation.
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