Applications · neuroscience and cognitive science papers, 2023–2026

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.

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

189 papers, page 4 of 4

151. NeurIPS 2024Shaping the distribution of neural responses with interneurons in a recurrent circuit model
152. NeurIPS 2024Smoke and Mirrors in Causal Downstream Tasks
153. NeurIPS 2024Spectral Learning of Shared Dynamics Between Generalized-Linear Processes
154. NeurIPS 2024SpGesture: Source-Free Domain-adaptive sEMG-based Gesture Recognition with Jaccard Attentive Spiking Neural Network
155. NeurIPS 2024Spider2-V: How Far Are Multimodal Agents From Automating Data Science and Engineering Workflows?
156. NeurIPS 2024Spike-based Neuromorphic Model for Sound Source Localization
157. NeurIPS 2024SpikedAttention: Training-Free and Fully Spike-Driven Transformer-to-SNN Conversion with Winner-Oriented Spike Shift for Softmax Operation
158. NeurIPS 2024Spiking Neural Network as Adaptive Event Stream Slicer
159. NeurIPS 2024SS1: Accelerating Inference with Fast and Expressive Sketch Structured Transform
160. NeurIPS 2024Stochastic Optimal Control and Estimation with Multiplicative and Internal Noise
161. NeurIPS 2024Stochastic Optimal Control Matching
162. NeurIPS 2024Stochastic Taylor Derivative Estimator: Efficient amortization for arbitrary differential operators
163. NeurIPS 2024Structured flexibility in recurrent neural networks via neuromodulation
164. NeurIPS 2024Superposed Decoding: Multiple Generations from a Single Autoregressive Inference Pass
165. NeurIPS 2024Take A Shortcut Back: Mitigating the Gradient Vanishing for Training Spiking Neural Networks
166. NeurIPS 2024Task-Agnostic Machine-Learning-Assisted Inference
167. NeurIPS 2024Temporal-Difference Learning Using Distributed Error Signals
168. NeurIPS 2024The Bayesian sampling in a canonical recurrent circuit with a diversity of inhibitory interneurons
169. NeurIPS 2024The Intelligible and Effective Graph Neural Additive Network
170. NeurIPS 2024The motion planning neural circuit in goal-directed navigation as Lie group operator search
171. NeurIPS 2024The Selective $G$-Bispectrum and its Inversion: Applications to $G$-Invariant Networks
172. NeurIPS 2024The State of Data Curation at NeurIPS: An Assessment of Dataset Development Practices in the Datasets and Benchmarks Track
173. NeurIPS 2024Time Makes Space: Emergence of Place Fields in Networks Encoding Temporally Continuous Sensory Experiences
174. NeurIPS 2024To Learn or Not to Learn, That is the Question — A Feature-Task Dual Learning Model of Perceptual Learning
175. NeurIPS 2024Towards a "Universal Translator" for Neural Dynamics at Single-Cell, Single-Spike Resolution
176. NeurIPS 2024Towards Accurate and Fair Cognitive Diagnosis via Monotonic Data Augmentation
177. NeurIPS 2024Towards Croppable Implicit Neural Representations
178. NeurIPS 2024Towards Heterogeneous Long-tailed Learning: Benchmarking, Metrics, and Toolbox
179. NeurIPS 2024Trading Place for Space: Increasing Location Resolution Reduces Contextual Capacity in Hippocampal Codes
180. NeurIPS 2024Transductive Active Learning: Theory and Applications
181. NeurIPS 2024Unconditional stability of a recurrent neural circuit implementing divisive normalization
182. NeurIPS 2024Understanding and Improving Training-free Loss-based Diffusion Guidance
183. NeurIPS 2024Understanding the Limits of Vision Language Models Through the Lens of the Binding Problem
184. NeurIPS 2024UniAR: A Unified model for predicting human Attention and Responses on visual content
185. NeurIPS 2024Uniform Last-Iterate Guarantee for Bandits and Reinforcement Learning
186. NeurIPS 2024Unsupervised Discovery of Formulas for Mathematical Constants
187. NeurIPS 2024UrbanDataLayer: A Unified Data Pipeline for Urban Science
188. NeurIPS 2024Visual Decoding and Reconstruction via EEG Embeddings with Guided Diffusion
189. NeurIPS 2024Visual Pinwheel Centers Act as Geometric Saliency Detectors

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.