Cover Image

Decoding Alignment without Encoding Alignment: A critique of similarity analysis in neuroscience

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Bertram, Johannes, Dyballa, Luciano, Keller, T. Anderson, Kinger, Savik, Zucker, Steven W.
Format:	Preprint
Published:	2026
Subjects:	Neurons and Cognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

How 'Neural' is a Neural Foundation Model?
by: Bertram, Johannes, et al.
Published: (2026)

Manifolds and Modules: How Function Develops in a Neural Foundation Model
by: Bertram, Johannes, et al.
Published: (2025)

Inferring Active Neural Circuits Using Diffusion Scores
by: Kinger, Savik, et al.
Published: (2026)

Learning dynamic representations of the functional connectome in neurobiological networks
by: Dyballa, Luciano, et al.
Published: (2024)

Resting-State Functional Connectivity Correlates of Emotional Memory Control under Cognitive load in Subclinical Anxiety
by: Kinger, Shruti, et al.
Published: (2026)

Intrinsic Brain Networks Underlying the Experience and Expression of Subclinical Anxiety
by: Kinger, Shruti, et al.
Published: (2026)

Phase Alignment Enhances Oscillatory Power in Neural Mass Models Optimized for Class Encoding
by: Pei, Alexander
Published: (2025)

Clarifying the conceptual dimensions of representation in neuroscience
by: Pohl, Stephan, et al.
Published: (2024)

Only Brains Align with Brains: Cross-Region Alignment Patterns Expose Limits of Normative Models
by: Höfling, Larissa, et al.
Published: (2026)

The tardigrade as an emerging model organism for systems neuroscience
by: Lyons, Ana M., et al.
Published: (2025)

A perspective on neuroscience data standardization with Neurodata Without Borders
by: Pierré, Andrea, et al.
Published: (2023)

Separating minimal from radical embodied cognitive neuroscience
by: de Wit, Matthieu M.
Published: (2024)

Rethinking scale in network neuroscience: Contributions and opportunities at the nanoscale
by: Betzel, Richard, et al.
Published: (2025)

How much neuroscience does a neuroscientist need to know?
by: Whittington, James C. R., et al.
Published: (2026)

Go Figure: Transparency in neuroscience images preserves context and clarifies interpretation
by: Taylor, Paul A., et al.
Published: (2025)

TRACE: Contrastive learning for multi-trial time-series data in neuroscience
by: Schmors, Lisa, et al.
Published: (2025)

Unifying equivalences across unsupervised learning, network science, and imaging/network neuroscience
by: Rubinov, Mika
Published: (2025)

An introduction to reinforcement learning for neuroscience
by: Jensen, Kristopher T.
Published: (2023)

Mouse vs. AI: A Neuroethological Benchmark for Visual Robustness and Neural Alignment
by: Schneider, Marius, et al.
Published: (2025)

How to optimize neuroscience data utilization and experiment design for advancing brain models of visual and linguistic cognition?
by: Tuckute, Greta, et al.
Published: (2024)

Beyond Object-Level Alignment: Do Brains and DNNs Preserve the Same Transformations?
by: Kamitani, Yukiyasu
Published: (2026)

Beyond Sight: Probing Alignment Between Image Models and Blind V1
by: Granley, Jacob, et al.
Published: (2024)

Neural Representational Consistency Emerges from Probabilistic Neural-Behavioral Representation Alignment
by: Zhu, Yu, et al.
Published: (2025)

Rogue Variable Theory: A Quantum-Compatible Cognition Framework with a Rosetta Stone Alignment Algorithm
by: Małecki, Jacek, et al.
Published: (2026)

The Representational Alignment Hypothesis: Evidence for and Consequences of Invariant Semantic Structure Across Embedding Modalities
by: Ramidi, Akhil, et al.
Published: (2026)

Biological detail and graph structure in network neuroscience
by: Papo, David, et al.
Published: (2025)

Alignment between Brains and AI: Evidence for Convergent Evolution across Modalities, Scales and Training Trajectories
by: Shen, Guobin, et al.
Published: (2025)

A foundation model of vision, audition, and language for in-silico neuroscience
by: d'Ascoli, Stéphane, et al.
Published: (2026)

Integrative neurocybernetic modeling in the era of large-scale neuroscience
by: Park, Il Memming, et al.
Published: (2026)

Fast dynamical similarity analysis
by: Behrad, Arman, et al.
Published: (2025)

Multi-Site rs-fMRI Domain Alignment for Autism Spectrum Disorder Auxiliary Diagnosis Based on Hyperbolic Space
by: Luo, Yiqian, et al.
Published: (2025)

An Affective-Taxis Hypothesis for Alignment and Interpretability
by: Sennesh, Eli, et al.
Published: (2025)

Large language models surpass human experts in predicting neuroscience results
by: Luo, Xiaoliang, et al.
Published: (2024)

Efficient coding with chaotic neural networks: A journey from neuroscience to physics and back
by: Kadmon, Jonathan
Published: (2024)

Neural Encoding and Decoding at Scale
by: Zhang, Yizi, et al.
Published: (2025)

Jacobian-Based Interpretation of Nonlinear Neural Encoding Model
by: Gao, Xiaohui, et al.
Published: (2025)

Neural Heterogeneity Enables Adaptive Encoding of Time Sequences
by: Lafond-Mercier, Raphaël, et al.
Published: (2025)

Does Feedback Alignment Work at Biological Timescales?
by: Bacvanski, Marc Gong, et al.
Published: (2025)

Evolvable Graph Diffusion Optimal Transport with Pattern-Specific Alignment for Brain Connectome Modeling
by: Sheng, Xiaoqi, et al.
Published: (2025)

Motion-Invariant Variational Auto-Encoding of Brain Structural Connectomes
by: Zhang, Yizi, et al.
Published: (2022)