activity
20172026
most citedBrain-Like Object Recognition with High-Performing Shallow Recurrent ANNs

108 citations · 163 across the 16 of their papers we have counts for

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8 papers · 1 filter

cs.CL2025

Inducing Dyslexia in Vision Language Models

Melika Honarmand, Ayati Sharma, Badr AlKhamissi +2

Dyslexia, a neurodevelopmental disorder characterized by persistent reading difficulties, is often linked to reduced activity of the visual word form area (VWFA) in the ventral occ…

cs.CL2025

Evaluating Contrast Localizer for Identifying Causal Units in Social & Mathematical Tasks in Language Models

Yassine Jamaa, Badr AlKhamissi, Satrajit Ghosh +1

This work adapts a neuroscientific contrast localizer to pinpoint causally relevant units for Theory of Mind (ToM) and mathematical reasoning tasks in large language models (LLMs)…

cs.CL2025

From Language to Cognition: How LLMs Outgrow the Human Language Network

Badr AlKhamissi, Greta Tuckute, Yingtian Tang +3

Large language models (LLMs) exhibit remarkable similarity to neural activity in the human language network. However, the key properties of language shaping brain-like representati…

cs.CL2024

The LLM Language Network: A Neuroscientific Approach for Identifying Causally Task-Relevant Units

Badr AlKhamissi, Greta Tuckute, Antoine Bosselut +1

Large language models (LLMs) exhibit remarkable capabilities on not just language tasks, but also various tasks that are not linguistic in nature, such as logical reasoning and soc…

cs.CL2024

TopoLM: brain-like spatio-functional organization in a topographic language model

Neil Rathi, Johannes Mehrer, Badr AlKhamissi +3

Neurons in the brain are spatially organized such that neighbors on tissue often exhibit similar response profiles. In the human language system, experimental studies have observed…

cs.CL20242 cited

Brain-Like Language Processing via a Shallow Untrained Multihead Attention Network

Badr AlKhamissi, Greta Tuckute, Antoine Bosselut +1

Large Language Models (LLMs) have been shown to be effective models of the human language system, with some models predicting most explainable variance of brain activity in current…