Topic in Machine Learning

Computational neuroscience & cognition

65 labs at 25 universities work on computational neuroscience & cognition (part of Machine Learning). Most at SJTU, Peking and Georgia Tech. 49 published in 2026.

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I want to research computational neuroscience & cognition in anywhere.

65 labs at 25 universities work on computational neuroscience & cognition. Most at 7, 6, 5. 49 of them published in 2026, mostly at NeurIPS, ICLR and CVPR. Earliest deadline: , Dec 1.

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65 labs

USMITBrain and Cognitive SciencesDec 1

Joshua TenenbaumProfessor

Studies computational cognitive science and cognitive AI, building computational models of human cognition with machine learning.

Computational neuroscience & cognition

2026Evaluating Language Models' Evaluations of GamesICLR
2026ExoPredicator: Learning Abstract Models of Dynamic Worlds for Robot PlanningICLR

90 T1 · 158 papers · 16 members

CNPekingInstitute for Artificial IntelligenceJan 15

Zhaofei Yu助理教授

Researches brain-inspired computing and spiking neural networks.

Computational neuroscience & cognition

2026CaRe-BN: Precise Moving Statistics for Stabilizing Spiking Neural Networks in Reinforcement LearningICLR
2026Generalized Threshold Optimization with Harmony Multi-Threshold Neurons for Accurate ANN-to-SNN ConversionAAAI

59 T1 · 83 papers · Group size not listed

CNZhejiangCollege of Computer Science and TechnologyFeb 28

Huajin Tang教授

Develops spiking neural networks, neuromorphic computing and brain-inspired cognitive models, including neuromorphic hardware and robotics applications.

Computational neuroscience & cognition
Accelerators, chips & architecture

2026Dynamic-Static Decomposition for Novel View Synthesis of Dynamic Scenes with Spiking NeuronsCVPR
2026eRetinexGS: Retinex Modeling for Low-Light Scene Enhancement via Event Streams and 3D Gaussian SplattingCVPR

38 T1 · 92 papers · Group size not listed

CNPekingInstitute for Artificial IntelligenceJan 15

Song-Chun Zhu讲席教授

Leads research on foundations of general artificial intelligence, computer vision, statistical modeling, cognitive science and autonomous robots.

Embodied & active vision
Learning theory & optimization
Computational neuroscience & cognition

2026Cross-robot behavior adaptation through intention alignmentScience Robotics
2026TongUI: Internet-Scale Trajectories from Multimodal Web Tutorials for Generalized GUI AgentsAAAI

37 T1 · 45 papers · Group size not listed

CNSJTUSchool of Computer ScienceMay 31

Rui WangTenured Track Associate Professor

Works on individual cognitive capacities and collective cognitive organization in AI systems, building on prior work in natural language processing and…

Multilingual, translation & linguistics
Computational neuroscience & cognition

2026BabelDOC: Better Layout-Preserving PDF Translation via Intermediate RepresentationACL
2026DeepMath-103K: A Large-Scale, Challenging, Decontaminated, and Verifiable Mathematical Dataset for Advancing ReasoningICLR

34 T1 · 57 papers · 15 members · 10 alumni

CNSJTUSchool of Computer ScienceMay 31

Liqing ZhangTenured Professor

Works on brain-inspired cognitive computing, machine learning and statistical inference, and brain signal processing.

Computational neuroscience & cognition
Learning theory & optimization
Efficient training & inference

2026AVGGT: Rethinking Global Attention for Accelerating VGGTCVPR
2026FakeXplain: AI-Generated Image Detection via Human-Aligned Grounded ReasoningICLR

26 T1 · 42 papers · Group size not listed

GBUCLGatsby Computational Neuroscience Unit

Andrew SaxeProfessor of Theoretical Neuroscience and Machine Learning

Develops the theory of deep learning to analyse learning dynamics in artificial networks and in the brain.

Computational neuroscience & cognition
Learning theory & optimization
Neuroscience & brain-computer interfaces

2026Comparing the learning dynamics of in-context learning and fine-tuning in language modelsICLR
2026Compositionality and systematicity emerge from iterated learning in deep linear networksPNAS

23 T1 · 34 papers · 9 members · 10 alumni

USGeorgia TechSchool of Computational Science and EngineeringDec 15

Anqi WuEdenfield Early-Career Assistant Professor

Develops probabilistic latent variable models for neural and behavioral data in computational neuroscience.

Probabilistic & causal inference
Computational neuroscience & cognition
Neuroscience & brain-computer interfaces

2026A Disentangled Low-Rank RNN Framework for Uncovering Neural Connectivity and DynamicsICML
2026A Hitchhiker's Guide to Poisson Gradient EstimationICML

19 T1 · 21 papers · 6 members · 13 alumni

CNPekingSchool of Computer ScienceJan 15

Yonghong TianProfessor

Leads the Multimedia Learning Group, researching distributed machine learning, brain-inspired computing and multimedia big-data analysis.

Computational neuroscience & cognition
Distributed, cloud & edge systems
Visualization & visual analytics

2023A GPU-based computational framework that bridges Neuron simulation and Artificial IntelligenceNature Communications
2023A Unified Framework of Soft Threshold PruningICLR

15 T1 · 29 papers · 24 members · 79 alumni

USUWElectrical and Computer EngineeringDec 15

Eli ShlizermanProfessor of Applied Mathematics and Electrical & Computer Engineering; Washington Research Foundation Professor for Data-intensive Discovery

Develops neuro-inspired deep learning and models of neural circuits, linking machine learning and neuroscience.

Computational neuroscience & cognition
Neuroscience & brain-computer interfaces

20262ndMatch: Finetuning Pruned Diffusion Models via Second-Order Jacobian MatchingCVPR
2026EgoMAN: Interaction-Structured Reasoning for Egocentric 3D Hand Trajectory PredictionECCV

14 T1 · 25 papers · 5 members · 26 alumni

GBUCLGatsby Computational Neuroscience Unit

Maneesh SahaniProfessor 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.

Probabilistic & causal inference
Computational neuroscience & cognition
Neuroscience & brain-computer interfaces

2026Dexterous skill discovery via topology-aware Wasserstein dependencyNeurIPS
2026Identifying latent neural dynamics with recognition-parameterized Gaussian process dynamical systemsNeurIPS

14 T1 · 20 papers · 8 members

SGNTUCollege of Computing and Data Science

Mengmi ZhangNanyang Assistant Professor

Studies the intersection of AI and computational neuroscience, including visual attention, contextual reasoning and continual learning.

Neuroscience & brain-computer interfaces
Computational neuroscience & cognition
Data management & big data

2026Learning to See Through a Baby's Eyes: Early Visual Diets Enable Robust Visual Intelligence in Humans and MachinesCVPR
2026Peering into the Unknown: Active View Selection with Neural Uncertainty Maps for 3D ReconstructionICLR

14 T1 · 22 papers · 13 members

CNZhejiangCollege of Computer Science and TechnologyFeb 28

Shi Gu教师

Studies computational neuroscience, brain network dynamics and neuroimaging analysis, and links them to brain-inspired machine learning.

Neuroscience & brain-computer interfaces
Computational neuroscience & cognition

2026Dynamic-Static Decomposition for Novel View Synthesis of Dynamic Scenes with Spiking NeuronsCVPR
2026eRetinexGS: Retinex Modeling for Low-Light Scene Enhancement via Event Streams and 3D Gaussian SplattingCVPR

14 T1 · 17 papers · Group size not listed

CHEPFLBrain Mind Institute (School of Life Sciences SV)Dec 1

Alexander MathisAssociate Professor

Leads a group combining computational neuroscience and machine learning to model animal behaviour, including markerless pose estimation (DeepLabCut) and motor…

Neuroscience & brain-computer interfaces
Computational neuroscience & cognition

2026KINESIS: Motion Imitation for Human Musculoskeletal LocomotionICRA
2026LLaVAction: evaluating and training multi-modal large language models for action understandingICLR

13 T1 · 13 papers · 10 members · 5 alumni

USUCSDHalıcıoğlu Data Science InstituteDec 15

Gal MishneAssociate Professor

Develops graph-based and manifold learning methods for high-dimensional data, with applications to neuroscience imaging.

Learning theory & optimization
Computational neuroscience & cognition
Neuroscience & brain-computer interfaces

2026ALIGN: Adversarial Learning for Generalizable Speech NeuroprosthesisUAI
2026Compositional decoding of neural activity enhances generalization in handwriting BCIsAccepted to IEEE EMBC

13 T1 · 46 papers · 4 members · 20 alumni

USMITBrain and Cognitive SciencesDec 1

Edward AdelsonProfessor

Studies human and computer vision and touch, including how robots perceive the visual and mechanical properties of materials.

Embodied & active vision
Computational neuroscience & cognition
Proteins, drugs & materials

2025Grasp EveryThing (GET): 1-DoF, 3-Fingered Gripper with Tactile Sensing for Robust GraspingIROS
2025PolyTouch: A Robust Multi-Modal Tactile Sensor for Contact-Rich Manipulation Using Tactile-Diffusion PoliciesICRA

12 T1 · 18 papers · Group size not listed

CHETH ZurichInformation Technology and Electrical Engineering (D-ITET)

Benjamin GreweAssociate Professor

Studies learning algorithms in biological and artificial neural networks, linking neural circuit recordings to biologically plausible credit assignment in…

Computational neuroscience & cognition

2026A Combination of Noise and Bilateral Filters Achieve Supralinear and Scalable Adversarial Robustness in CNNsCVPR
2026COGITAO: A Procedural Object-Centric Framework to Study Compositional GeneralizationICLR

10 T1 · 24 papers · 13 members · 12 alumni

GBEdinburghSchool of Informatics

Frank KellerProfessor

Works on natural language processing and cognitive science, especially language and vision tasks such as image description, visual grounding and video…

Multimodal & grounded language
Dialogue, generation & summarization
Computational neuroscience & cognition

2026Generating Visual Stories with Grounded and Coreferent CharactersTACL
2026Contrastive Learning with Narrative Twins for Modeling Story SalienceEACL

9 T1 · 26 papers · 6 members · 30 alumni

CNPekingSchool of Computer ScienceJan 15

Si Wu教授

Researches computational neuroscience and brain-inspired computing.

Neuroscience & brain-computer interfaces
Computational neuroscience & cognition

2025Unfolding the Black Box of Recurrent Neural Networks for Path IntegrationNeurIPS
2025Vector Quantization in the Brain: Grid-like Codes in World ModelsNeurIPS

9 T1 · 12 papers · Group size not listed

CNTsinghuaDepartment of Computer Science and TechnologyFeb 28

Xiaolin HuProfessor

Works on adversarial attacks and defenses for deep learning and brain-inspired computational models.

Trustworthy & safe ML
Computational neuroscience & cognition

2026Spectral diffusion vocoder for high-fidelity pitch-accurate singing voice synthesisTASLP
2026A semantically consistent dataset for data-efficient query-based universal sound separationThe International Conference on Machine Learning (ICML), Seoul, South Korea, July 6-11

9 T1 · 59 papers · Group size not listed

Where they areClick a university to narrow the list

Where they areClick a university to narrow the list

Other topics in Machine Learning

I want to research computational neuroscience & cognition in anywhere.

Joshua TenenbaumProfessor

Zhaofei Yu助理教授

Huajin Tang教授

Song-Chun Zhu讲席教授

Rui WangTenured Track Associate Professor

Liqing ZhangTenured Professor

Andrew SaxeProfessor of Theoretical Neuroscience and Machine Learning

Anqi WuEdenfield Early-Career Assistant Professor

Yonghong TianProfessor

Eli ShlizermanProfessor of Applied Mathematics and Electrical & Computer Engineering; Washington Research Foundation Professor for Data-intensive Discovery

Maneesh SahaniProfessor of Theoretical Neuroscience and Machine Learning

Mengmi ZhangNanyang Assistant Professor

Shi Gu教师

Alexander MathisAssociate Professor

Gal MishneAssociate Professor

Edward AdelsonProfessor

Benjamin GreweAssociate Professor

Frank KellerProfessor

Si Wu教授

Xiaolin HuProfessor

Where they areClick a university to narrow the list

Other topics in Machine Learning

I want to research computational neuroscience & cognition in anywhere.

Joshua TenenbaumProfessor

Zhaofei Yu助理教授

Huajin Tang教授

Song-Chun Zhu讲席教授

Rui WangTenured Track Associate Professor

Liqing ZhangTenured Professor

Andrew SaxeProfessor of Theoretical Neuroscience and Machine Learning

Anqi WuEdenfield Early-Career Assistant Professor

Yonghong TianProfessor

Eli ShlizermanProfessor of Applied Mathematics and Electrical & Computer Engineering; Washington Research Foundation Professor for Data-intensive Discovery

Maneesh SahaniProfessor of Theoretical Neuroscience and Machine Learning

Mengmi ZhangNanyang Assistant Professor

Shi Gu教师

Alexander MathisAssociate Professor

Gal MishneAssociate Professor

Edward AdelsonProfessor

Benjamin GreweAssociate Professor

Frank KellerProfessor

Si Wu教授

Xiaolin HuProfessor