Deon T Benton
Biographic Data
| ID | 1465353 |
|---|---|
| NAME | Deon T Benton |
| GIVEN NAMES | Deon T |
| FAMILY NAME | Benton |
| SIGNATURE | BENTON D T |
| AFFILIATIONS | Vanderbilt University |
| ORCID | 0009-0007-4922-5760 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 5 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2019 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Using Artificial Neural Networks to Simulate Social Category Learning
This tutorial introduces the use of connectionist (or artificial neural network) computational modeling to understand mechanisms for social psychological phenomena. We explain how modeling requires researchers to make explicit their assumptions and make concrete their operationalization for hypothesized mechanisms. The tutorial walks readers through the conceptual steps of how to design an artificial neural network based on Lei et al. (2020) and …
Associative learning or Bayesian inference? Revisiting backwards blocking reasoning in adults
The elusive “Developmental Mechanism”
Questions and explanations in the classroom
Second‐Order Correlation Learning of Dynamic Stimuli
We present two habituation experiments that examined 20‐ and 26‐month‐olds’ ability to engage in second‐order correlation learning for static and dynamic features, whereby learned associations between two pairs of features (e.g., P and Q, P and R) are generalized to the features that were not presented together (e.g., Q and R). We also present results from an associative learning mechanism that was implemented as an autoencoder parallel distribut…
No prominent works on this page.
Second‐Order Correlation Learning of Dynamic Stimuli
We present two habituation experiments that examined 20‐ and 26‐month‐olds’ ability to engage in second‐order correlation learning for static and dynamic features, whereby learned associations between two pairs of features (e.g., P and Q, P and R) are generalized to the features that were not presented together (e.g., Q and R). We also present results from an associative learning mechanism that was implemented as an autoencoder parallel distribut…
Questions and explanations in the classroom
The elusive “Developmental Mechanism”
Associative learning or Bayesian inference? Revisiting backwards blocking reasoning in adults
Using Artificial Neural Networks to Simulate Social Category Learning
This tutorial introduces the use of connectionist (or artificial neural network) computational modeling to understand mechanisms for social psychological phenomena. We explain how modeling requires researchers to make explicit their assumptions and make concrete their operationalization for hypothesized mechanisms. The tutorial walks readers through the conceptual steps of how to design an artificial neural network based on Lei et al. (2020) and …
Psychology (5 works) · Child and Animal Learning Development (4 works) · Cognitive psychology (4 works) · Cognitive science (4 works) · Artificial Intelligence (3 works) · Computer Science (3 works) · Developmental psychology (2 works) · Artificial Intelligence (1 work) · Artificial neural network (1 work) · Associative learning (1 work)