Nancy Kanwisher
Biographic Data
| ID | 1666201 |
|---|---|
| NAME | Nancy Kanwisher |
| GIVEN NAMES | Nancy |
| FAMILY NAME | Kanwisher |
| SIGNATURE | KANWISHER N |
| AFFILIATIONS | McGovern Institute for Brain Research |
| ORCID | 0000-0003-3853-7885 |
| VERIFIED | Yes |
| TOTAL WORKS | 10 |
| TOTAL CITATIONS | 21 |
| AUTHOR COUNT | 10 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 1989 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 2 |
Approximating Human-Level 3D Visual Inferences With Deep Neural Networks
Humans make rich inferences about the geometry of the visual world. While deep neural networks (DNNs) achieve human-level performance on some psychophysical tasks (e.g., rapid classification of object or scene categories), they often fail in tasks requiring inferences about the underlying shape of objects or scenes. Here, we ask whether and how this gap in 3D shape representation between DNNs and humans can be closed. First, we define the problem…
Dissociating language and thought in large language models
Not your parent's NIH clinical trial
What is the Bandwidth of Perceptual Experience?
Functionally Localizing Language‐Sensitive Regions in Individual Subjects With fMRI: A Reply to Grodzinsky’s Critique of Fedorenko and Kanwisher (2009)
In Fedorenko and Kanwisher (F&K 2009), we argued that defining regions of interest functionally in individual subjects may lead to a clearer picture of the functional architecture of the language system because it affords higher sensitivity and selectivity. Grodzinsky (2010) takes issue with two aspects of the F&K paper. First, he argues that the picture of the neural basis of language that has emerged from previous work is not as murky as F&K ar…
Neuroimaging of Language: Why Hasn't a Clearer Picture Emerged
Two broad questions have driven dozens of studies on the neural basis of language published in the last several decades: (i) Are distinct cortical regions engaged in different aspects of language? (ii) Are regions engaged in language processing specific to the domain of language? Neuroimaging has not yet provided clear answers to either question. In this paper, we discuss one factor that is a likely contributor to the unclear state of affairs in …
The fusiform face area: A cortical region specialized for the perception of faces
Faces are among the most important visual stimuli we perceive, informing us not only about a person's identity, but also about their mood, sex, age and direction of gaze. The ability to extract this information within a fraction of a second of viewing a face is important for normal social interactions and has probably played a critical role in the survival of our primate ancestors. Considerable evidence from behavioural, neuropsychological and ne…
People thinking about thinking peopleThe role of the temporo-parietal junction in “theory of mind”
The Fusiform Face Area: A Module in Human Extrastriate Cortex Specialized for Face Perception
Using functional magnetic resonance imaging (fMRI), we found an area in the fusiform gyrus in 12 of the 15 subjects tested that was significantly more active when the subjects viewed faces than when they viewed assorted common objects. This face activation was used to define a specific region of interest individually for each subject, within which several new tests of face specificity were run. In each of five subjects tested, the predefined cand…
Cognitive Heuristics and American Security Policy
Flawed arguments often recur in debates on U.S. security policy long after their weaknesses have been exposed. In this article I argue that certain political misconceptions and fallacies resist counterargument because they are reinforced by particular reasoning shortcuts known as “cognitive heuristics.” Although heuristics save time and mental work, they can lead to error because they are based on violable assumptions. I discuss seven different c…
Cognitive Heuristics and American Security Policy
Flawed arguments often recur in debates on U.S. security policy long after their weaknesses have been exposed. In this article I argue that certain political misconceptions and fallacies resist counterargument because they are reinforced by particular reasoning shortcuts known as “cognitive heuristics.” Although heuristics save time and mental work, they can lead to error because they are based on violable assumptions. I discuss seven different c…
Neuroimaging of Language: Why Hasn't a Clearer Picture Emerged
Two broad questions have driven dozens of studies on the neural basis of language published in the last several decades: (i) Are distinct cortical regions engaged in different aspects of language? (ii) Are regions engaged in language processing specific to the domain of language? Neuroimaging has not yet provided clear answers to either question. In this paper, we discuss one factor that is a likely contributor to the unclear state of affairs in …
Not your parent's NIH clinical trial
Cognitive Heuristics and American Security Policy
Flawed arguments often recur in debates on U.S. security policy long after their weaknesses have been exposed. In this article I argue that certain political misconceptions and fallacies resist counterargument because they are reinforced by particular reasoning shortcuts known as “cognitive heuristics.” Although heuristics save time and mental work, they can lead to error because they are based on violable assumptions. I discuss seven different c…
The Fusiform Face Area: A Module in Human Extrastriate Cortex Specialized for Face Perception
Using functional magnetic resonance imaging (fMRI), we found an area in the fusiform gyrus in 12 of the 15 subjects tested that was significantly more active when the subjects viewed faces than when they viewed assorted common objects. This face activation was used to define a specific region of interest individually for each subject, within which several new tests of face specificity were run. In each of five subjects tested, the predefined cand…
People thinking about thinking peopleThe role of the temporo-parietal junction in “theory of mind”
The fusiform face area: A cortical region specialized for the perception of faces
Faces are among the most important visual stimuli we perceive, informing us not only about a person's identity, but also about their mood, sex, age and direction of gaze. The ability to extract this information within a fraction of a second of viewing a face is important for normal social interactions and has probably played a critical role in the survival of our primate ancestors. Considerable evidence from behavioural, neuropsychological and ne…
Neuroimaging of Language: Why Hasn't a Clearer Picture Emerged
Two broad questions have driven dozens of studies on the neural basis of language published in the last several decades: (i) Are distinct cortical regions engaged in different aspects of language? (ii) Are regions engaged in language processing specific to the domain of language? Neuroimaging has not yet provided clear answers to either question. In this paper, we discuss one factor that is a likely contributor to the unclear state of affairs in …
Functionally Localizing Language‐Sensitive Regions in Individual Subjects With fMRI: A Reply to Grodzinsky’s Critique of Fedorenko and Kanwisher (2009)
In Fedorenko and Kanwisher (F&K 2009), we argued that defining regions of interest functionally in individual subjects may lead to a clearer picture of the functional architecture of the language system because it affords higher sensitivity and selectivity. Grodzinsky (2010) takes issue with two aspects of the F&K paper. First, he argues that the picture of the neural basis of language that has emerged from previous work is not as murky as F&K ar…
What is the Bandwidth of Perceptual Experience?
Not your parent's NIH clinical trial
Dissociating language and thought in large language models
Approximating Human-Level 3D Visual Inferences With Deep Neural Networks
Humans make rich inferences about the geometry of the visual world. While deep neural networks (DNNs) achieve human-level performance on some psychophysical tasks (e.g., rapid classification of object or scene categories), they often fail in tasks requiring inferences about the underlying shape of objects or scenes. Here, we ask whether and how this gap in 3D shape representation between DNNs and humans can be closed. First, we define the problem…
Psychology (9 works) · Cognitive psychology (8 works) · Neuroscience (7 works) · Cognition (6 works) · Cognitive science (5 works) · Computer Science (4 works) · Face Recognition and Perception (4 works) · Epistemology (3 works) · Linguistics (3 works) · Neurobiology of Language and Bilingualism (3 works)