Alexander Immer · Jan-Matthis Lueckmann · Alex Chen · Peter Li · Mariela Petkova · Nirmala Iyer · Aparna Dev · Gudrun Ihrke · Woohyun Park · Alyson Petruncio · Aubrey Weigel · Wyatt Korff · Florian Engert · Jeff Lichtman · Misha B Ahrens · Viren Jain · Michal Januszewski

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Inferring cognitive strategies from groups of animals in natural environments

Ines Aitsahalia · Thomas Botch · Shijie Gu · Thomas O'Connell · Rebecca Siegel · Ralph E. Peterson · Dmitry Batenkov · Emily Mackevicius

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Estimating Brain Activity with High Spatial and Temporal Resolution using a Naturalistic MEG-fMRI Encoding Model

Beige Jerry Jin · Leila Wehbe

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BrainAlign: Leveraging EEG Foundation Models for Symmetric, Interpretable Alignment with Visual Representations

Vijay Jayawant Harkare · Lakshminarayanan Subramanian

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Massively Parallel Imitation Learning of Mouse Forelimb Musculoskeletal Reaching Dynamics

Eric J. Leonardis · Akira Nagamori · Ayesha Thanawalla · Yuanjia Yang · Joshua Park · Hutton Saunders · Eiman Azim · Talmo Pereira

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Do Masked Autoencoders Learn a Human-Like Geometry of Neural Representation? Divergence and Convergence Across Brains and Machines During Naturalistic Vision

Hamed Karimi · Stefano Anzellotti

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BEHAVE: Behavioral Ethology for Human Assessment via Variational Encoding

Zhanqi Zhang · Chi Chou · Holden Rosberg · William Perry · Jared Young · Arpi Minassian · Gal Mishne · Mikio Aoi

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MIRAGE: Robust multi-modal architectures translate fMRI-to-image models from vision to mental imagery

Reese Kneeland · Cesar Torrico · Tong Chen · Jordyn Antonio Ojeda · Shubh Khanna · Jonathan Xu · Paul Scotti · Thomas Naselaris

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LearnAD: Learning Interpretable Rules for Brain Networks in Alzheimer’s Disease Classification

Thomas Andrews · Alessandra Russo · Sara Ahmadi-Abhari · Mark Law

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Shallow Recurrent Decoders for Neural and Behavioral Dynamics

Amy Rude · Nathan Kutz

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A pipeline for interpretable neural latent discovery

Jai Bhagat · Anaya Pouget · Sara Molas-Medina

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LITcoder: A General-Purpose Library for Building and Comparing Encoding Models

Taha Binhuraib · Ruimin Gao · Anna Ivanova

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Extracting task-relevant preserved dynamics from contrastive aligned neural recordings

Yiqi Jiang · Kaiwen Sheng · Yujia Gao · Estefany Kelly Buchanan · Fatih Dinc · Yu Shikano · Tony Hyun Kim · Seung Je Woo · Yixiu Zhao · Scott Linderman · Mark Schnitzer

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ENIGMA: A Unified Lightweight EEG-to-Image Model for Multi-Subject Visual Decoding

Reese Kneeland · Wangshu Jiang · Ugo Bruzadin Nunes · Si Kai Lee · Paul Scotti · Arnaud Delorme · Jonathan Xu

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Zero-shot neural predictivity in human prefrontal cortex with a massively multi-task multimodal transformer

Lucas Gomez · Aziz Ktari · Mark Bai · Pouya Bashivan

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Inferring response times of perceptual decisions with Poisson variational autoencoders

Hayden Johnson · Anastasia Nastya Krouglova · Hadi Vafaii · Jacob Yates · Pedro Goncalves

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Manifolds And Modules: How Function Develops In a Neural Foundation Model

Johannes Bertram · Luciano Dyballa · Andy Keller · Savik Kinger · Steven W Zucker

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NiceWebRL: a Python library for human subject experiments with reinforcement learning environments

Wilka Carvalho · Vikram Goddla · Ishaan Sinha · Hoon Shin · Kunal Jha

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Learning using switching synaptic plasticity rules

Denis Turcu · Jonathan Cornford · Sven Dorkenwald · Stefan Mihalas

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Whole-Brain Connectomic Graph Neural Networks Enable Whole-Body Locomotion Control in Drosophila

Zehao Jin · Yanan Sui

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Data-driven Modeling of Multi-Region Communication Dynamics using Gated Neural ODEs

Ladd

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PacMouse: Mice solve hidden abstract graph traversal problems in freely-moving virtual reality

Matthew Rosenberg · Zac Levy · David Tank

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Benchmarking Probabilistic Time Series Forecasting Models on Neural Activity

Ziyu Lu · Anna Li · Ladd · Pascha Matveev · Aditya Deole · Eric Todd SheaBrown · Nathan Kutz · Nicholas A Steinmetz

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Predicting Neural Activity from Connectome Embedding Spaces

Zihan Zhang · Huanqiu Zhang · Stefan Mihalas

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Mamba-GINR: A Scalable Framework for Spatiotemporal Representation of fMRI

Thilina Balasooriya · Jubin Choi · Kevin Valencia · Xihaier Luo · Shinjae Yoo · David Park

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Model manifold analysis suggests the human visual brain is less like an optimal classifier and more like a feature bank

Colin Conwell · Mick Bonner

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A Differentiable Simulator for Human Vocal Learning

Eric Chen · Vincent Sitzmann

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SpellerSSL: Self-Supervised Learning with P300 Aggregation for Speller BCIs

Jiazhen Hong · Geoffrey Mackellar · Soheila Ghane

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Comparing Human & Machine Communication Patterns through a Tangram Game

Haoran Zhao · Colin Conwell

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Cross-Temporal Attention Fusion (CTAF) for Multimodal Physiological Signals in Self-Supervised Learning

Arian Khorasani · Theophile Demazure

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An Information-Theoretical Approach To Optimizing Task Design For Differentiating Probabilistic Neural Codes

Po-Chen Kuo · Edgar Walker

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DeepCor: Denoising fMRI data using Contrastive Variational Autoencoders

Aidas Aglinskas · Yu Zhu · Stefano Anzellotti

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Reading Observed At Mindless Moments (ROAMM): A Simultaneous EEG and Eye-Tracking Dataset of Natural Reading with Attention Annotations

Haorui Sun · Ardyn Olszko · Yida Chen · Hazen Kellner · Niharika Singh · Lincoln Lewisequerre · David Jangraw

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An Overview of the Neuropixels Visual Behavior Dataset From the Allen Institute

Corbett Bennett · Su-Yee Lee · Joshua H Siegle · Marina Garrett · Saskia de Vries · Shawn Olsen

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Tutorial: Neural Keyword Spotting on LibriBrain

Gereon Elvers · Gilad Landau · Oiwi Parker Jones

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Accelerated Methods in {Multi-Modal, Multi-Metric, Many-Model} CogNeuroAI

Colin Conwell

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NLDisco: A Pipeline for Interpretable Neural Latent Discovery

Anaya Pouget · Jai Bhagat · Sara Molas-Medina

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CONFORM: A Project to Create Crowd-Sourced Open Neuroscience fMRI Foundation Models

Michael Tarr · Jacob Prince · Benjamin Lahner · Mayukh Deb · Aude Oliva · N Apurva Ratan Murty · John A. Pyles · Maggie Henderson · Leila Wehbe · Andrew Luo

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