Applications · neuroscience and cognitive science papers, 2023–2026
Application area: neuroscience_and_cognitive_science
Scope: NeurIPS, ICLR, ICML and CVPR, 2023–2026. 2,033 papers are tagged with this topic.
Key findings
- Applications · neuroscience and cognitive science went from 183 papers in 2023 to 753 in 2026, roughly 4.1x in three years.
- NeurIPS publishes the most Applications · neuroscience and cognitive science work: 824 papers from 2023 to 2026, 41% of the four-venue total.
- The fastest-growing overlap is with Diffusion Models: papers tagged with both rose from 4 in 2023 to 44 in 2026.
- Among the 10 topics under Application Domains, it ranks #4 by 2026 paper count; the fastest grower in the group, Applications · health medicine, is up 61x versus 4.1x here.
Papers per venue
Counts by year and venue
| Year | NeurIPS | ICLR | ICML | CVPR | Total |
|---|---|---|---|---|---|
| 2023 | 66 | 44 | 49 | 24 | 183 |
| 2024 | 189 | 99 | 107 | 29 | 424 |
| 2025 | 342 | 151 | 157 | 23 | 673 |
| 2026 | 227 | 229 | 263 | 34 | 753 |
Representative papers
Spread across years and venues so every edition shows up
- NeurIPS 2026(Strongly) Replicable Distribution Testers imply High Probability Distribution Testers
- ICML 2026(Be Cautious!) Bio-Foundation Models Are Not Yet Robust to Biologically Plausible Perturbations and ML Transformations
- ICLR 2026A Biologically Plausible Dense Associative Memory with Exponential Capacity
- CVPR 2026Globscope Toward a Global View of the Loss Landscape
- NeurIPS 2025$\mu$PC: Scaling Predictive Coding to 100+ Layer Networks
- ICML 2025Can Biologically Plausible Temporal Credit Assignment Rules Match BPTT for Neural Similarity? E-prop as an Example
- ICLR 2025A Computational Framework for Modeling Emergence of Color Vision in the Human Brain
- CVPR 2025Blurred LiDAR for Sharper 3D: Robust Handheld 3D Scanning with Diffuse LiDAR and RGB
- NeurIPS 2024$\textit{NeuroPath}$: A Neural Pathway Transformer for Joining the Dots of Human Connectomes
- ICML 2024$\bf{\Phi}_\textrm{Flow}$: Differentiable Simulations for PyTorch, TensorFlow and Jax
- ICLR 2024A Cognitive Model for Learning Abstract Relational Structures from Memory-based Decision-Making Tasks
- CVPR 2024Efficient Detection of Long Consistent Cycles and its Application to Distributed Synchronization
- NeurIPS 2023Adaptive whitening with fast gain modulation and slow synaptic plasticity
- ICML 2023Accuracy on the Curve: On the Nonlinear Correlation of ML Performance Between Data Subpopulations
- ICLR 2023A framework for benchmarking Class-out-of-distribution detection and its application to ImageNet
- CVPR 20233D Line Mapping Revisited
- NeurIPS 2026$\mathrm{Bounded\mbox{-}RS}$: A Bounded Evaluation Protocol and Testbed for Representational Systematicity
- ICML 2026A hitchhiker's guide to Poisson gradient estimation
- ICLR 2026A Brain Graph Foundation Model: Pre-Training and Prompt-Tuning across Broad Atlases and Disorders
- CVPR 2026LASAR Towards Spatio-temporal Reasoning with Latent Cognitive Map
All Applications · neuroscience and cognitive science papers
2,033 papers, page 35 of 41
- NeurIPS 2024Construction and Application of Materials Knowledge Graph in Multidisciplinary Materials Science via Large Language Model
- NeurIPS 2024Continuous Spatiotemporal Events Decoupling through Spike-based Bayesian Computation
- NeurIPS 2024Contrastive-Equivariant Self-Supervised Learning Improves Alignment with Primate Visual Area IT
- NeurIPS 2024Controlled maximal variability along with reliable performance in recurrent neural networks
- NeurIPS 2024Cooperate or Collapse: Emergence of Sustainable Cooperation in a Society of LLM Agents
- NeurIPS 2024Crafting Interpretable Embeddings for Language Neuroscience by Asking LLMs Questions
- NeurIPS 2024DARNet: Dual Attention Refinement Network with Spatiotemporal Construction for Auditory Attention Detection
- NeurIPS 2024Designing Cell-Type-Specific Promoter Sequences Using Conservative Model-Based Optimization
- NeurIPS 2024Differentially Private Equivalence Testing for Continuous Distributions and Applications
- NeurIPS 2024Discovering plasticity rules that organize and maintain neural circuits
- NeurIPS 2024DisenGCD: A Meta Multigraph-assisted Disentangled Graph Learning Framework for Cognitive Diagnosis
- NeurIPS 2024Disentangling the Roles of Distinct Cell Classes with Cell-Type Dynamical Systems
- NeurIPS 2024Divergences between Language Models and Human Brains
- NeurIPS 2024Divide-and-Conquer Predictive Coding: a structured Bayesian inference algorithm
- NeurIPS 2024Doing Experiments and Revising Rules with Natural Language and Probabilistic Reasoning
- NeurIPS 2024Du-IN: Discrete units-guided mask modeling for decoding speech from Intracranial Neural signals
- NeurIPS 2024EEG2Video: Towards Decoding Dynamic Visual Perception from EEG Signals
- NeurIPS 2024EEGPT: Pretrained Transformer for Universal and Reliable Representation of EEG Signals
- NeurIPS 2024Empowering and Assessing the Utility of Large Language Models in Crop Science
- NeurIPS 2024Energy-Based Modelling for Discrete and Mixed Data via Heat Equations on Structured Spaces
- NeurIPS 2024EnOF-SNN: Training Accurate Spiking Neural Networks via Enhancing the Output Feature
- NeurIPS 2024Entropy testing and its application to testing Bayesian networks
- NeurIPS 2024Evaluating alignment between humans and neural network representations in image-based learning tasks
- NeurIPS 2024Evaluating Numerical Reasoning in Text-to-Image Models
- NeurIPS 2024Exact Gradients for Stochastic Spiking Neural Networks Driven by Rough Signals
- NeurIPS 2024Exploring Behavior-Relevant and Disentangled Neural Dynamics with Generative Diffusion Models
- NeurIPS 2024Exploring the trade-off between deep-learning and explainable models for brain-machine interfaces
- NeurIPS 2024FasMe: Fast and Sample-efficient Meta Estimator for Precision Matrix Learning in Small Sample Settings
- NeurIPS 2024FastSurvival: Hidden Computational Blessings in Training Cox Proportional Hazards Models
- NeurIPS 2024Feedback control guides credit assignment in recurrent neural networks
- NeurIPS 2024FEEL-SNN: Robust Spiking Neural Networks with Frequency Encoding and Evolutionary Leak Factor
- NeurIPS 2024Flexible Context-Driven Sensory Processing in Dynamical Vision Models
- NeurIPS 2024Flexible mapping of abstract domains by grid cells via self-supervised extraction and projection of generalized velocity signals
- NeurIPS 2024Flexible task abstractions emerge in linear networks with fast and bounded units
- NeurIPS 2024Flow Snapshot Neurons in Action: Deep Neural Networks Generalize to Biological Motion Perception
- NeurIPS 2024fMRI predictors based on language models of increasing complexity recover brain left lateralization
- NeurIPS 2024From Linear to Linearizable Optimization: A Novel Framework with Applications to Stationary and Non-stationary DR-submodular Optimization
- NeurIPS 2024Gaussian Approximation and Multiplier Bootstrap for Polyak-Ruppert Averaged Linear Stochastic Approximation with Applications to TD Learning
- NeurIPS 2024GENOT: Entropic (Gromov) Wasserstein Flow Matching with Applications to Single-Cell Genomics
- NeurIPS 2024Geodesic Optimization for Predictive Shift Adaptation on EEG data
- NeurIPS 2024Geometric Analysis of Nonlinear Manifold Clustering
- NeurIPS 2024Geometry of naturalistic object representations in recurrent neural network models of working memory
- NeurIPS 2024GeSS: Benchmarking Geometric Deep Learning under Scientific Applications with Distribution Shifts
- NeurIPS 2024Global Distortions from Local Rewards: Neural Coding Strategies in Path-Integrating Neural Systems
- NeurIPS 2024Goal Reduction with Loop-Removal Accelerates RL and Models Human Brain Activity in Goal-Directed Learning
- NeurIPS 2024GV-Rep: A Large-Scale Dataset for Genetic Variant Representation Learning
- NeurIPS 2024Identifying Spatio-Temporal Drivers of Extreme Events
- NeurIPS 2024Idiographic Personality Gaussian Process for Psychological Assessment
- NeurIPS 2024Inference of Neural Dynamics Using Switching Recurrent Neural Networks
- NeurIPS 2024Inferring stochastic low-rank recurrent neural networks from neural data
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FAQ
- How many Applications · neuroscience and cognitive science papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?
- 2,033 in total: 183 in 2023, 424 in 2024, 673 in 2025, 753 in 2026.
- How many Applications · neuroscience and cognitive science papers are at NeurIPS 2026?
- NeurIPS 2026 has 227 Applications · neuroscience and cognitive science papers, versus 342 the year before.
- How many Applications · neuroscience and cognitive science papers are at ICLR 2026?
- ICLR 2026 has 229 Applications · neuroscience and cognitive science papers, versus 151 the year before.
- How many Applications · neuroscience and cognitive science papers are at ICML 2026?
- ICML 2026 has 263 Applications · neuroscience and cognitive science papers, versus 157 the year before.
- How many Applications · neuroscience and cognitive science papers are at CVPR 2026?
- CVPR 2026 has 34 Applications · neuroscience and cognitive science papers, versus 23 the year before.
- Which conference publishes the most Applications · neuroscience and cognitive science papers?
- NeurIPS, with 824 papers from 2023 to 2026.
More in Application Domains
- Applications · chemistry physics and earth sciences 3,316
- Applications · computer vision 2,538
- Applications · speech and audio 1,722
- Applications · human computer interaction 1,027
- Applications · robotics 393
- Applications · health medicine 350
- Applications · security 28
- Applications · economics 19
- Applications · education 4