What is he best known for?
The fields of study he is best known for:
- Neuroscience
- Artificial intelligence
- Hippocampus
His primary scientific interests are in Neuroscience, Entorhinal cortex, Hippocampus, Cholinergic and Hippocampal formation.
His work on Neuroscience is being expanded to include thematically relevant topics such as Neurotransmission.
His Entorhinal cortex research is multidisciplinary, incorporating perspectives in Patch clamp, Electrophysiology, Stimulus, Working memory and Membrane potential.
His Hippocampus research incorporates elements of Head direction cells, Time perception, Cortex and Spatial memory.
His research integrates issues of Neuromodulation, Postsynaptic potential and Nicotinic agonist in his study of Cholinergic.
In the subject of general Hippocampal formation, his work in Dentate gyrus is often linked to Population, thereby combining diverse domains of study.
His most cited work include:
- The role of acetylcholine in learning and memory. (978 citations)
- Graded persistent activity in entorhinal cortex neurons (660 citations)
- Neuromodulation: acetylcholine and memory consolidation. (640 citations)
What are the main themes of his work throughout his whole career to date?
Michael E. Hasselmo mainly investigates Neuroscience, Hippocampus, Entorhinal cortex, Hippocampal formation and Cholinergic.
His research on Neuroscience frequently links to adjacent areas such as Neurotransmission.
He combines subjects such as Slice preparation, Content-addressable memory and Piriform cortex with his study of Neurotransmission.
His work on Theta rhythm as part of general Hippocampus research is frequently linked to Population, thereby connecting diverse disciplines of science.
As part of one scientific family, Michael E. Hasselmo deals mainly with the area of Entorhinal cortex, narrowing it down to issues related to the Spatial memory, and often Artificial intelligence.
His Hippocampal formation research is multidisciplinary, relying on both GABAergic and Calcium imaging.
He most often published in these fields:
- Neuroscience (74.50%)
- Hippocampus (30.31%)
- Entorhinal cortex (30.31%)
What were the highlights of his more recent work (between 2014-2021)?
- Neuroscience (74.50%)
- Hippocampus (30.31%)
- Entorhinal cortex (30.31%)
In recent papers he was focusing on the following fields of study:
Michael E. Hasselmo focuses on Neuroscience, Hippocampus, Entorhinal cortex, Hippocampal formation and Artificial intelligence.
His studies examine the connections between Neuroscience and genetics, as well as such issues in Grid cell, with regards to Theta rhythm.
His biological study spans a wide range of topics, including Neural coding and Cortex.
Michael E. Hasselmo has included themes like Path integration, Membrane potential, Computational model, Spatial memory and Coding in his Entorhinal cortex study.
His Hippocampal formation study integrates concerns from other disciplines, such as Receptive field, Rhythm, Neuron and Calcium imaging.
His research investigates the connection between Artificial intelligence and topics such as Computer vision that intersect with issues in Communication.
Between 2014 and 2021, his most popular works were:
- During Running in Place, Grid Cells Integrate Elapsed Time and Distance Run. (141 citations)
- Multiple Running Speed Signals in Medial Entorhinal Cortex. (94 citations)
- The same hippocampal CA1 population simultaneously codes temporal information over multiple timescales (85 citations)
In his most recent research, the most cited papers focused on:
- Neuroscience
- Artificial intelligence
- Neuron
His primary areas of study are Neuroscience, Entorhinal cortex, Hippocampal formation, Path integration and Grid cell.
He conducted interdisciplinary study in his works that combined Neuroscience and Chemistry.
His studies deal with areas such as Inhibitory postsynaptic potential, Optogenetics and Neuron as well as Entorhinal cortex.
Michael E. Hasselmo has researched Hippocampal formation in several fields, including Neuronal firing, Temporal information, Episodic memory and Calcium imaging.
His research in Path integration intersects with topics in Coding, Computational model and Spatial memory.
His work deals with themes such as Sensory cue and Sensory system, which intersect with Grid cell.
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