activity
20182026
most citedCognitive computation using neural representations of time and space in the Laplace domain

10 citations · 13 across the 6 of their papers we have counts for

collaborators

6 papers

cs.AI2026

Exploring Human Behavior During Abstract Rule Inference and Problem Solving with the Cognitive Abstraction and Reasoning Corpus

Caroline Ahn, Quan Do, Leah Bakst +4

Humans exhibit remarkable flexibility in abstract reasoning, and can rapidly learn and apply rules from sparse examples. To investigate the cognitive strategies underlying this abi…

q-bio.NC2025

From Priors to Predictions: Explaining and Visualizing Human Reasoning in a Graph Neural Network Framework

Quan Do, Caroline Ahn, Leah Bakst +4

Humans excel at solving novel reasoning problems from minimal exposure, guided by inductive biases, assumptions about which entities and relationships matter. Yet the computational…

cs.AI2024

A Feature-based Generalizable Prediction Model for Both Perceptual and Abstract Reasoning

Quan Do, Thomas M. Morin, Chantal E. Stern +1

A hallmark of human intelligence is the ability to infer abstract rules from limited experience and apply these rules to unfamiliar situations. This capacity is widely studied in t…

cs.LG2022

Combining imitation and deep reinforcement learning to accomplish human-level performance on a virtual foraging task

Vittorio Giammarino, Matthew F Dunne, Kylie N Moore +3

We develop a simple framework to learn bio-inspired foraging policies using human data. We conduct an experiment where humans are virtually immersed in an open field foraging envir…

q-bio.NC2020★ 10 cited

Cognitive computation using neural representations of time and space in the Laplace domain

Marc W. Howard, Michael E. Hasselmo

Memory for the past makes use of a record of what happened when---a function over past time. Time cells in the hippocampus and temporal context cells in the entorhinal cortex both…

q-bio.NC2018★ 3 cited

A model of cortical cognitive function using hierarchical interactions of gating matrices in internal agents coding relational representations

Michael E. Hasselmo

Flexible cognition requires the ability to rapidly detect systematic functions of variables and guide future behavior based on predictions. The model described here proposes a pote…