Martin Schrimpf
Tenure Track Assistant Professor
Leads the NeuroAI lab, building deep-learning models that match neural mechanisms of vision and language in the brain.
Martin Schrimpf's lab at EPFL works on neuroscience & brain-computer interfaces and signal processing & information theory. 7 papers since 2023, 3 at top venues, mostly ICLR and ICML. 7 PhD students. 20 alumni. Applications close .
At a glance
- papers, 2023–2026
- 2/ year
- at T1 venues
- 43%
- PhD students
- 7
- MS students
- 0
- alumni listed
- 20
Papers by yearfrom the lab homepage, 2023–2026
- 3 papers2026 · T1 3 · collecting
- 3 papers2025 · T1 0
- 1 papers2024 · T1 0
- 0 papers2023 · T1 0
T1 venuesOtherVenues: ICLR, ICML
Research focuspaper titles that use each topic's words
- Neuroscience & brain-computer interfaces1 paper
- Signal processing & information theory0 papers
- deep-learning0 papers
- mechanisms0 papers
- communication sciences0 papers
Paper list
From the lab homepage.
20263 papers
- ICLR (T1)Inducing Dyslexia in Vision Language Models
- ICLR (T1)Model-Guided Microstimulation Steers Primate Visual Behavior
- ICML (T1)Multimodal Scaling Laws for Task & Data-Optimized Models of Visual Cortex
20253 papers
- Oral @ EMNLPFrom Language to Cognition: How LLMs Outgrow the Human Language Network
- Oral @ NA ACLThe LLM Language Network: A Neuroscientific Approach for Identifying Causally Task-Relevant Units
- Oral @ ICLRTopoLM: brain-like spatio-functional organization in a topographic language model
20241 paper
- Nature Human BehaviorDriving and Suppressing the Human Language Network Using Large Language Models
Where alumni went20 listed, 0% to industry
Industry 0Academia 6
Also to
- Stanford University
- CeMM & Institute for AI at Medical University of Vienna
- Harvard University
Apply to EPFLFall 2027
EDIC Computer and Communication Sciences PhD
- Round
- Round 1
- Opens
- —
- GRE
- optional
- English
- TOEFL 100 / IELTS 7.0
- Fee
- none
Confirmed on the program page.
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Data
Checked against the lab homepage.
- Collected
- Verified
- Papers
- The lab homepage
- Members
- Lab homepage
- Alumni
- Lab homepage
Tiers are venue classifications, not lab rankings.
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