Joshua B. Tenenbaum

A Unified World Model in Human Posterior Parietal Cortex

The paper identifies the superior parietal lobule as a substrate for physical world modeling by showing neurons that predict physical events and encode intended hand actions.

A Relational Code for Objects in Primate Frontal Cortex

This study shows that neurons in primate frontal cortex encode both object locations and their spatial relationships during working memory.

Predictive coding yields a brain-like code for shape from motion

The paper shows predictive coding models replicate human perception and neuronal responses to motion-defined shapes in videos.

Evidence from Formal Logical Reasoning Reveals that the Language of Thought is not Natural Language

The paper investigates the relationship between logical reasoning and language by examining neural activity and patient performance, finding that logical reasoning does not rely on the language brain network.

Visual cues and strategies for perceiving elasticity

This study investigates how humans perceive object elasticity using visual cues and proposes a resource-rational model based on motion statistics.

Neural representation of action symbols in primate frontal cortex

The paper identifies a neural representation of action symbols in the ventral premotor cortex of macaque monkeys performing a drawing-like task.

Working Memory of Multi-Object Scenes in Primate Frontal Cortex

This study investigates how primates store multiple objects in working memory using neural data from monkeys, finding that a weighted-sum model better explains memory representation than slot or switching models.

Neural representation of action grammar structure in primate frontal cortex

The paper investigates how primate frontal cortex represents action grammar structure during novel problem-solving tasks and identifies preSMA as a key region for encoding grammatical properties.

Fronto-Hippocampal Synchronization in Rapid Spatial Learning in Humans

This study investigates how OFC gamma oscillations and hippocampal ripples interact during rapid spatial learning in humans using iEEG recordings.

A human brain network specialized for abstract formal reasoning

The paper identifies a human brain network specialized for abstract formal reasoning using fMRI and distinguishes it from other cognitive networks.

The Neural Architecture of Theory-based Reinforcement Learning

The paper uses theory-based reinforcement learning to analyze brain data and identifies neural mechanisms underlying theory-based learning in humans.

Invariant Representation of Physical Stability in the Human Brain

The paper investigates whether the brain or CNNs use invariant representations for physical stability judgments and finds such representations in fronto-parietal regions but not in the ventral visual pathway.

The neural architecture of language: Integrative modeling converges on predictive processing

This paper shows that powerful transformer models predict neural and behavioral responses during language processing across datasets and modalities, supporting predictive processing as a core mechanism.

Lifelong learning of cognitive strategies for physical problem-solving: the effect of embodied experience

The paper compares cognitive strategies in individuals with and without congenital limb differences in a virtual problem-solving task, finding differences in thinking time and persistence despite equal motor capabilities.

Efficient inverse graphics in biological face processing

The paper presents a neurally plausible model for efficiently inverting generative models of images, specifically testing its application in face perception.

Learning to act by integrating mental simulations and physical experiments

The paper shows people balance mental simulations and physical experiments to learn action effects, adjusting effort based on trial characteristics.

Learning list concepts through program induction

The paper introduces a concept learning paradigm using term rewriting systems to model human learning of complex conceptual relationships.