Thomas J Palmeri
Biographic Data
| ID | 4466176 |
|---|---|
| NAME | Thomas J Palmeri |
| GIVEN NAMES | Thomas J |
| FAMILY NAME | Palmeri |
| SIGNATURE | PALMERI T J |
| AFFILIATIONS | Vanderbilt University |
| ORCID | 0000-0001-7617-9797 |
| VERIFIED | Yes |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 6 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
From Inspiration to Collaboration
For this special Festschrift issue of the American Journal of Psychology in honor of the 50th anniversary of Gordon Logan receiving his PhD, I reflect on the 33 years since his research first inspired my thinking as a graduate student, the 25 years since he joined the Vanderbilt faculty as a colleague, and the 23 years since we first became collaborators. This is a story of collaboration that connects people. It is also a story of theoretical syn…
Can art change the way we see
Distinct but related abilities for visual and haptic object recognition
Manipulating and measuring variation in deep neural network (DNN) representations of objects
We explore how DNNs can be used to develop a computational understanding of individual differences in high-level visual cognition given their ability to generate rich meaningful object representations informed by their architecture, experience, and training protocols. As a first step to quantifying individual differences in DNN representations, we systematically explored the robustness of a variety of representational similarity measures: Represe…
Evidence for an amodal domain-general object recognition ability
Haptic object recognition based on shape relates to visual object recognition ability
No prominent works on this page.
Haptic object recognition based on shape relates to visual object recognition ability
Evidence for an amodal domain-general object recognition ability
Can art change the way we see
Distinct but related abilities for visual and haptic object recognition
Manipulating and measuring variation in deep neural network (DNN) representations of objects
We explore how DNNs can be used to develop a computational understanding of individual differences in high-level visual cognition given their ability to generate rich meaningful object representations informed by their architecture, experience, and training protocols. As a first step to quantifying individual differences in DNN representations, we systematically explored the robustness of a variety of representational similarity measures: Represe…
From Inspiration to Collaboration
For this special Festschrift issue of the American Journal of Psychology in honor of the 50th anniversary of Gordon Logan receiving his PhD, I reflect on the 33 years since his research first inspired my thinking as a graduate student, the 25 years since he joined the Vanderbilt faculty as a colleague, and the 23 years since we first became collaborators. This is a story of collaboration that connects people. It is also a story of theoretical syn…
Computer Science (5 works) · Artificial Intelligence (4 works) · Cognitive neuroscience of visual object recognition (3 works) · Cognitive psychology (3 works) · Psychology (3 works) · Tactile and Sensory Interactions (3 works) · Artificial Intelligence (2 works) · Haptic technology (2 works) · Multisensory perception and integration (2 works) · Visual perception and processing mechanisms (2 works)