What is he best known for?
The fields of study he is best known for:
- Neuroscience
- Statistics
- Artificial intelligence
Loren M. Frank focuses on Neuroscience, Hippocampus, Hippocampal formation, Hippocampal replay and Spike.
Electrophysiology and Biological neural network are the primary areas of interest in his Neuroscience study.
His Hippocampus research is multidisciplinary, incorporating elements of Neuroplasticity, Central nervous system and Content-addressable memory.
His Hippocampal formation research includes elements of Neuron and Encoding.
Loren M. Frank has included themes like Wakefulness, Nerve net and Space perception in his Hippocampal replay study.
His Spike sorting study, which is part of a larger body of work in Spike, is frequently linked to Quality, bridging the gap between disciplines.
His most cited work include:
- Hippocampal replay in the awake state: a potential substrate for memory consolidation and retrieval (577 citations)
- Trajectory encoding in the hippocampus and entorhinal cortex. (516 citations)
- Awake hippocampal sharp-wave ripples support spatial memory (516 citations)
What are the main themes of his work throughout his whole career to date?
Loren M. Frank mainly investigates Neuroscience, Hippocampal formation, Hippocampus, Artificial intelligence and Electrophysiology.
In general Neuroscience, his work in Sharp wave ripple, Biological neural network and Nerve net is often linked to Temporal lobe and Context linking many areas of study.
His work focuses on many connections between Hippocampal formation and other disciplines, such as Memory consolidation, that overlap with his field of interest in Sleep in non-human animals.
His research in Hippocampus is mostly focused on Hippocampal replay.
His Artificial intelligence research is multidisciplinary, relying on both Machine learning, Spike, Spike train and Pattern recognition.
As part of one scientific family, he deals mainly with the area of Electrophysiology, narrowing it down to issues related to the Spike sorting, and often Sorting algorithm.
He most often published in these fields:
- Neuroscience (65.00%)
- Hippocampal formation (51.87%)
- Hippocampus (45.62%)
What were the highlights of his more recent work (between 2017-2021)?
- Neuroscience (65.00%)
- Hippocampal formation (51.87%)
- Hippocampus (45.62%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Neuroscience, Hippocampal formation, Hippocampus, Cognitive psychology and Cognition.
His research in the fields of Biological neural network, Electrophysiology and Brain function overlaps with other disciplines such as Rat model and Prepulse inhibition.
His work on Place cell as part of general Hippocampal formation research is often related to Mechanism, thus linking different fields of science.
Loren M. Frank mostly deals with Sharp wave ripple in his studies of Hippocampus.
Within one scientific family, Loren M. Frank focuses on topics pertaining to Reinforcement learning under Cognitive psychology, and may sometimes address concerns connected to Continual learning.
His Cognition study combines topics in areas such as Neural activity and Statistical model.
Between 2017 and 2021, his most popular works were:
- High-Density, Long-Lasting, and Multi-region Electrophysiological Recordings Using Polymer Electrode Arrays. (101 citations)
- High-Density, Long-Lasting, and Multi-region Electrophysiological Recordings Using Polymer Electrode Arrays. (101 citations)
- The hippocampal sharp wave-ripple in memory retrieval for immediate use and consolidation. (79 citations)
In his most recent research, the most cited papers focused on:
- Neuroscience
- Statistics
- Artificial intelligence
His scientific interests lie mostly in Neuroscience, Hippocampus, Hippocampal formation, Sharp wave ripple and Biological neural network.
His study in Cognition extends to Hippocampus with its themes.
Loren M. Frank works mostly in the field of Cognition, limiting it down to topics relating to Neural activity and, in certain cases, Memory consolidation, Recall, Brain state and Cortex.
Loren M. Frank integrates Hippocampal formation with Genetic risk factor in his research.
Loren M. Frank has researched Biological neural network in several fields, including Computer hardware, Electrophysiology, Nucleus accumbens, Sharp wave and Dorsum.
His Electrophysiology study combines topics from a wide range of disciplines, such as Neuronal circuits and Stability.
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