What is she best known for?
The fields of study she is best known for:
- Artificial intelligence
- Cognition
- Neuroscience
Her main research concerns Approximate number system, Numerosity adaptation effect, Intraparietal sulcus, Communication and Numerical cognition.
Her Approximate number system study is related to the wider topic of Cognition.
Her studies in Numerosity adaptation effect integrate themes in fields like Subitizing and Cognitive psychology.
Her work focuses on many connections between Intraparietal sulcus and other disciplines, such as Mental calculation, that overlap with her field of interest in Numeral system, fMRI adaptation, Coding and Arabic numerals.
Her Communication research is multidisciplinary, incorporating elements of Neurocognitive, Artificial intelligence and Pattern recognition.
Her research in Numerical cognition intersects with topics in Number sense and Learning disability.
Her most cited work include:
- THREE PARIETAL CIRCUITS FOR NUMBER PROCESSING (1877 citations)
- Interactions between number and space in parietal cortex. (930 citations)
- Tuning Curves for Approximate Numerosity in the Human Intraparietal Sulcus (788 citations)
What are the main themes of her work throughout her whole career to date?
Manuela Piazza mostly deals with Cognitive psychology, Numerosity adaptation effect, Perception, Artificial intelligence and Cognition.
The Cognitive psychology study combines topics in areas such as Subitizing, Noun and Number sense.
Her Numerosity adaptation effect research integrates issues from Approximate number system, Mental representation and Posterior parietal cortex.
Her biological study spans a wide range of topics, including Cognitive science and Task.
Her Pattern recognition study combines topics from a wide range of disciplines, such as Coding and Communication.
Manuela Piazza works mostly in the field of Intraparietal sulcus, limiting it down to topics relating to Mental calculation and, in certain cases, Numeral system.
She most often published in these fields:
- Cognitive psychology (62.96%)
- Numerosity adaptation effect (54.32%)
- Perception (46.91%)
What were the highlights of her more recent work (between 2018-2021)?
- Cognitive psychology (62.96%)
- Numerosity adaptation effect (54.32%)
- Neuroscience (18.52%)
In recent papers she was focusing on the following fields of study:
Her primary scientific interests are in Cognitive psychology, Numerosity adaptation effect, Neuroscience, Perception and Sensory system.
Her study in Cognitive psychology is interdisciplinary in nature, drawing from both Brain activity and meditation, Cognition and Magnetoencephalography.
Her research integrates issues of Numerical cognition and Posterior parietal cortex in her study of Numerosity adaptation effect.
Her studies deal with areas such as Taxonomy, Superordinate goals and Semantic network as well as Neuroscience.
Her Perception research includes themes of Artificial neural network, Noun, Word reading and Semantic space.
Her Learning disability research is multidisciplinary, incorporating perspectives in Subitizing, Approximate number system, Short-term memory and Number sense.
Between 2018 and 2021, her most popular works were:
- Cortical route for facelike pattern processing in human newborns (39 citations)
- Attentional amplification of neural codes for number independent of other quantities along the dorsal visual stream (18 citations)
- Discriminability of numerosity-evoked fMRI activity patterns in human intra-parietal cortex reflects behavioral numerical acuity (18 citations)
In her most recent research, the most cited papers focused on:
- Artificial intelligence
- Cognition
- Neuroscience
The scientist’s investigation covers issues in Numerosity adaptation effect, Neuroscience, Posterior parietal cortex, Numerical cognition and Cortex.
Her Numerosity adaptation effect study combines topics in areas such as Representation and Sensory system.
Her research links Pattern processing with Neuroscience.
Manuela Piazza has included themes like Neural coding and Arithmetic in her Posterior parietal cortex study.
Her Numerical cognition study frequently draws connections between related disciplines such as Common code.
Her Cortex research incorporates elements of Multivariate decoding, Brain activity and meditation and Visual cortex.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
