What is she best known for?
The fields of study she is best known for:
- Neuroscience
- Cerebral cortex
- Artificial intelligence
Her primary areas of study are Neuroscience, Anatomy, Cortex, Premotor cortex and Primary motor cortex.
Her Anatomy study combines topics from a wide range of disciplines, such as Posterior parietal cortex and Lateral sulcus.
Her research in Posterior parietal cortex focuses on subjects like Parietal lobe, which are connected to Primate, Galago and Brain mapping.
Her Cortex study incorporates themes from Microstimulation and Auditory cortex.
Her Premotor cortex study frequently involves adjacent topics like Motor cortex.
Iwona Stepniewska combines subjects such as Somatosensory evoked potential and Supplementary motor area with her study of Primary motor cortex.
Her most cited work include:
- Subdivisions of Auditory Cortex and Ipsilateral Cortical Connections of the Parabelt Auditory Cortex in Macaque Monkeys (352 citations)
- Architectionis, somatotopic organization, and ipsilateral cortical connections of the primary motor area (M1) of owl monkeys (280 citations)
- Prefrontal connections of the parabelt auditory cortex in macaque monkeys (242 citations)
What are the main themes of her work throughout her whole career to date?
Her scientific interests lie mostly in Neuroscience, Anatomy, Motor cortex, Cortex and Posterior parietal cortex.
Her Neuroscience study frequently links to other fields, such as Premotor cortex.
The study incorporates disciplines such as Primate, Visual cortex, Supplementary motor area and Macaque in addition to Anatomy.
In her work, Sulcus is strongly intertwined with Auditory cortex, which is a subfield of Cortex.
Her study in Posterior parietal cortex is interdisciplinary in nature, drawing from both Parietal lobe, Prosimian, Brain mapping and Lateral sulcus.
The concepts of her Primary motor cortex study are interwoven with issues in Precentral gyrus and Somatosensory evoked potential.
She most often published in these fields:
- Neuroscience (65.06%)
- Anatomy (50.60%)
- Motor cortex (32.53%)
What were the highlights of her more recent work (between 2017-2021)?
- Diffusion MRI (25.30%)
- Deconvolution (10.84%)
- Voxel (14.46%)
In recent papers she was focusing on the following fields of study:
Iwona Stepniewska spends much of her time researching Diffusion MRI, Deconvolution, Voxel, Neuroscience and Artificial intelligence.
Her work deals with themes such as Orientation and Squirrel monkey, which intersect with Diffusion MRI.
Her Neuroscience study focuses mostly on Posterior parietal cortex, Primary motor cortex, Superior colliculus, Ventral anterior nucleus and Pontine nuclei.
Her Posterior parietal cortex research includes elements of Motor cortex, Premotor cortex, Somatosensory system and Forelimb.
Her Motor cortex study frequently draws parallels with other fields, such as Microstimulation.
Her Primary motor cortex research is multidisciplinary, incorporating elements of Algorithm and Heuristic.
Between 2017 and 2021, her most popular works were:
- Histological validation of diffusion MRI fiber orientation distributions and dispersion. (74 citations)
- Confirmation of a gyral bias in diffusion MRI fiber tractography. (47 citations)
- Anatomical accuracy of standard-practice tractography algorithms in the motor system - A histological validation in the squirrel monkey brain. (15 citations)
In her most recent research, the most cited papers focused on:
- Neuroscience
- Cerebral cortex
- Artificial intelligence
Iwona Stepniewska mostly deals with Voxel, Deconvolution, Diffusion MRI, Ground truth and Tractography.
Her work in Voxel addresses subjects such as Biological system, which are connected to disciplines such as Squirrel monkey, Kernel and Dispersion.
Her Deconvolution research integrates issues from Artificial neural network and Deep learning.
Diffusion MRI is frequently linked to Orientation in her study.
Her Ground truth research incorporates themes from Algorithm, Heuristic and Primary motor cortex.
Her Tractography study is related to the wider topic of White matter.
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