What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Cognition
- Statistics
His primary areas of investigation include Neuroscience, Episodic memory, Cognitive psychology, Recall and Free recall.
In his study, Algorithm and Computation is inextricably linked to Coding, which falls within the broad field of Neuroscience.
His studies link Landmark with Episodic memory.
His Cognitive psychology research focuses on subjects like Cognition, which are linked to Artificial neural network.
His Free recall study integrates concerns from other disciplines, such as Contextual Associations, Modality effect and Artificial intelligence.
While the research belongs to areas of Serial position effect, he spends his time largely on the problem of Memoria, intersecting his research to questions surrounding Developmental psychology.
His most cited work include:
- A distributed representation of temporal context (715 citations)
- Theta and Gamma Oscillations during Encoding Predict Subsequent Recall (604 citations)
- Gamma Oscillations Correlate with Working Memory Load in Humans (585 citations)
What are the main themes of his work throughout his whole career to date?
Episodic memory, Cognitive psychology, Recall, Neuroscience and Cognition are his primary areas of study.
Marc W. Howard interconnects Representation, Time perception, Semantic memory and Algorithm in the investigation of issues within Episodic memory.
His work on Free recall is typically connected to Contiguity as part of general Cognitive psychology study, connecting several disciplines of science.
His Free recall research is multidisciplinary, incorporating perspectives in Contextual Associations, Modality effect and Social psychology.
Marc W. Howard combines subjects such as Associative property, Correlation, Developmental psychology, Statistics and Artificial intelligence with his study of Recall.
His studies deal with areas such as Artificial neural network and Coding as well as Cognition.
He most often published in these fields:
- Episodic memory (31.09%)
- Cognitive psychology (30.25%)
- Recall (26.05%)
What were the highlights of his more recent work (between 2018-2021)?
- Neuroscience (25.21%)
- Scale invariance (10.92%)
- Cognitive psychology (30.25%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Neuroscience, Scale invariance, Cognitive psychology, Episodic memory and Algorithm.
His work in the fields of Hippocampal formation, Entorhinal cortex and Hippocampus overlaps with other areas such as Physics.
His research investigates the connection between Cognitive psychology and topics such as Sequence that intersect with problems in Stimulus.
His Episodic memory research includes elements of Temporal context and Amnesia.
In Algorithm, Marc W. Howard works on issues like Receptive field, which are connected to Computation, Numerosity adaptation effect and Neurophysiology.
He works mostly in the field of Representation, limiting it down to topics relating to Machine learning and, in certain cases, Artificial intelligence, as a part of the same area of interest.
Between 2018 and 2021, his most popular works were:
- A neural microcircuit model for a scalable scale-invariant representation of time. (25 citations)
- Medial Temporal Lobe Amnesia Is Associated with a Deficit in Recovering Temporal Context. (14 citations)
- A temporal record of the past with a spectrum of time constants in the monkey entorhinal cortex. (13 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Statistics
- Cognition
His primary areas of investigation include Neuroscience, Episodic memory, Adaptive memory, Lateral prefrontal cortex and Prefrontal cortex.
His work deals with themes such as Event and Segmentation, which intersect with Neuroscience.
His Episodic memory research integrates issues from Relaxation, Entorhinal cortex, Hippocampus and Macaque.
Macaque is integrated with Event and Time constant in his research.
Marc W. Howard has researched Adaptive memory in several fields, including Memory task, Paired associate, Stimulus, Working memory and Content-addressable memory.
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