Computational Neuroscience: Publications
Read the latest papers published by our researchers.
Results
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End-to-end Topographic Auditory Models Replicate Signatures of Human Auditory Cortex
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Spatial Frequency Maps in Human Visual Cortex: A Replication and Extension
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Stochastic Process Inference Without Trajectories: A Probabilistic Approach
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Statistical mechanics of support vector regression
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Feature Learning beyond the Lazy-Rich Dichotomy: Insights from Representational Geometry
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Representational drift and learning-induced stabilization in the piriform cortex
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Variations in neuronal selectivity create efficient representational codes
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Variations in neuronal selectivity create efficient representational geometries for perception
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Uncertainty Prioritized Experience Replay
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A common computational and neural anomaly across mouse models of autism
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Discriminating image representations with principal distortions
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Detection of Moving Objects Using Self-motion Constraints on Optic Flow
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Detecting Moving Objects During Self-motion
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Generalized Compressed Sensing for Image Reconstruction with Diffusion Probabilistic Models
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The first complete 3D reconstruction and morphofunctional mapping of an insect eye
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The Geometry of Prompting: Unveiling Distinct Mechanisms of Task Adaptation in Language Models
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Perceptual learning improves discrimination but does not reduce distortions in appearance
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Geometry Linked to Untangling Efficiency Reveals Structure and Computation in Neural Populations
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Disentangling 3D Animal Pose Dynamics With Scrubbed Conditional Latent Variables
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Nonlinear classification of neural manifolds with contextual information
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Comparing noisy neural population dynamics using optimal transport distances
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Estimating Neural Representation Alignment from Sparsely Sampled Inputs and Features
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Brain-Model Evaluations Need the NeuroAI Turing Test
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Sub-cellular population imaging tools reveal stable apical dendrites in hippocampal area CA3
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Learning predictable and robust neural representations by straightening image sequences
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Foundations of visual form selectivity in macaque areas V1 and V2
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Shaping the distribution of neural responses with interneurons in a recurrent circuit model
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Contrastive-equivariant self-supervised learning improves alignment with primate visual area IT
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Quantifying Differences in Neural Population Activity With Shape Metrics
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Hippocampal neuronal activity is aligned with action plans
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How to optimize neuroscience data utilization and experiment design for advancing brain models of visual and linguistic cognition?
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Soft Matching Distance: A metric on neural representations that captures single-neuron tuning
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Corrections to: Mapping Spatial Frequency Preferences Across Human Primary Visual Cortex
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Representational learning by optimization of neural manifolds in an olfactory memory network
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Task-Relevant Covariance from Manifold Capacity Theory Improves Robustness in Deep Networks
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WASPSYN: A Challenge for Domain Adaptive Synapse Detection in Microwasp Brain Connectomes
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Video prediction using score-based conditional density estimation
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Unsupervised discovery of family specific vocal usage in the Mongolian gerbil
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Estimating the Spectral Moments of the Kernel Integral Operator from Finite Sample Matrices
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High-fidelity Image Restoration of Large 3D Electron Microscopy Volume
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Neuronal and Behavioral Responses to Naturalistic Texture Images in Macaque Monkeys
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Feature-guided score diffusion for sampling conditional densities
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What Representational Similarity Measures Imply about Decodable Information
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Equivalence between representational similarity analysis, centered kernel alignment, and canonical correlations analysis
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Comparing the local information geometry across several image representations
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Classification-Denoising Networks
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A Rainbow in Deep Network Black Boxes
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Vocal Call Locator Benchmark (VCL) for localizing rodent vocalizations from multi-channel audio