Maneesh Sahani
Professor of Theoretical Neuroscience and Machine Learning
Develops probabilistic machine learning and data-driven methods to understand how neural populations represent and compute with sensory information.
Maneesh Sahani's lab at UCL works on probabilistic & causal inference, computational neuroscience & cognition and neuroscience & brain-computer interfaces. 20 papers since 2023, 14 at top venues, mostly NeurIPS and ICML.
At a glance
- papers, 2023–2026
- 5/ year
- at T1 venues
- 70%
- PhD students
- 0
- MS students
- 0
- alumni listed
- —
Papers by yearfrom the lab homepage, 2023–2026
- 8 papers2026 · T1 6 · collecting
- 1 papers2025 · T1 1
- 4 papers2024 · T1 1
- 7 papers2023 · T1 6
T1 venuesOtherVenues: NeurIPS, ICML, ICLR, AISTATS, Nature
Research focuspaper titles that use each topic's words
- Probabilistic & causal inference1 paper
- Neuroscience & brain-computer interfaces1 paper
- Computational neuroscience & cognition0 papers
- data-driven methods0 papers
- compute0 papers
Paper list
From the lab homepage.
20268 papers
- eLifeA mechanistic theory of planning in prefrontal cortex
- NeurIPS (T1)Dexterous skill discovery via topology-aware Wasserstein dependency
- NeurIPS (T1)Identifying latent neural dynamics with recognition-parameterized Gaussian process dynamical systems
- Nature (T1)Imaging cellular activity across all organs reveals body-wide circuits
- ICML (T1)Joint-space empowerment for dexterous coordination in tendon-driven hands
- ICML (T1)Maximum-likelihood learning of latent dynamics without reconstruction
- S. Swaroop, D. Rügamer, and A. Kristiadi, eds., Proceedings of The Symposium on Probabilistic Machine LearningRAMP: Recognition parametrisation by amortised message passing
- Nature Communications (T1)Whole-brain, all-optical interrogation of neuronal dynamics underlying gut and vascular interoception in zebrafish
20251 paper
- ICLR (T1)Discovering temporally compositional neural manifolds with switching infinite GPFA
20244 papers
- PLoS Computational Biology, 20:e1012383A unified theory of dual-process control
- Science Advances, 10(51):eadl4743Inferring context-dependent computations through linear approximations of prefrontal cortex dynamics
- NeurIPS (T1)Non-stationary learning of neural networks with automatic soft parameter reset
- eLife, 13:RP98415Nonlinear sensitivity to acoustic context is a stable feature of neuronal responses to complex sounds in auditory cortex of awake mice
20237 papers
- NeurIPS (T1)A state representation for diminishing rewards
- Neuron (T1)Learning shapes cortical dynamics to enhance integration of relevant sensory input
- ICLR (T1)Minimum description length control
- ICML (T1)Prediction under latent subgroup shifts with high-dimensional observations
- Nature Neuroscience, 26:326-338Residual dynamics resolves recurrent contributions to neural computation
- NeurIPS (T1)Successor-predecessor intrinsic exploration
- AISTATS (T1)Unsupervised representation learning with recognition-parametrised probabilistic models
Where alumni went
Alumni are not listed on the lab homepage.
Apply to UCLFall 2027
Not announced yet
Computer Science MPhil/PhD
- Round
- Main
- Opens
- —
- GRE
- See program page
- English
- See program page
- Fee
- See program page
Not yet confirmed for this intake.
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Data
Some numbers could not be verified:
- The alumni list could not be found on the lab site.
- Collected
- Verified
- Papers
- The lab homepage
- Members
- Lab homepage
- Alumni
- Not collected
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