1-001
Cross-subject neural decoding of human speech from intracortical recordings
Tommaso Boccato, Michal Olak, Matteo Ferrante

1-002
Population-level reorganization during learning amid single-neuron volatility in mouse prefrontal cortex
Yu-Yang Huang, Leonie Mehrke, Tobias Bernklau, Laura Busse, Simon Jacob

1-003
Developmental and genetic modulation of latent cognitive variables in zebrafish sensorimotor decision-making
Roberto Garza, Ahmed El Hady, Armin Bahl

1-004
Behavior-dLDS: A decomposed linear dynamical systems model for neural activity partially constrained by behavior
Eva Yezerets, En Yang, Misha Ahrens, Adam Charles

1-005
Catalyzing in silico neuroscience with a toolkit of accurate encoding models of the brain
Alessandro Gifford, Domenic Bersch, Daniel Janini, Gemma Roig, Radoslaw Cichy

1-006
An uncertainty-aware framework for data-efficient multi-view animal pose estimation
Lenny Aharon, Keemin Lee, Karan Sikka, Selmaan Chetti, Cole Hurwitz, Liam Paninski, Matthew Whiteway

1-007
Convergent motifs of early olfactory processing are recapitulated by layer-wise efficient coding
Juan Carlos Fernandez del Castillo, Farhad Pashakhanloo, Venkatesh Murthy, Jacob Zavatone-Veth

1-008
Bayesian Complementary Learning Systems
Bahti Zakirov, Gasper Tkacik

1-009
Inferotemporal neurons represent decision formation during face categorization
Gouki Okazawa, Roozbeh Kiani

1-010
Spatial coding going wild: neural manifolds in bats freely flying outdoors on a remote island
Yuval Waserman, Saikat Ray, Shaked Palgi, Liora Las, Nachum Ulanovsky

1-011
Brain-wide networks of category learning in the mouse
Selina Majaj, Sandra Reinert, Mark Hubener, Pieter M Goltstein, Emilie Mace, Tobias Bonhoeffer

1-012
Differential utilization of a hippocampal learning strategy as a source of individual differences
David Kastner, Christina Lee, Nicole Yokota, Cristofer Holobetz, Jane Ton, Ali Chaudhry, Mihika Mehra, Greer Williams, Peter Dayan

1-013
Memory erasure by dopamine-gated retrospective extinction
Huijeong Jeong, Leo Zsembik, Farah Farouq, Risha Chakraborty, Nishita Belur, Mingkang Zhou, Andrea Sanders, Styra Wang, Ananya Gopal Srinivasan, Ritchie Chen, Vijay Mohan K Namboodiri

1-014
Learning using switching synaptic plasticity rules
Denis Turcu, Jonathan Cornford, Sven Dorkenwald, Stefan Mihalas

1-015
Saccadic-motor contributions to choice-related signals in sensory cortices
Nan Zhang, Yong Gu

1-016
KINESIS: Motion imitation for human musculoskeletal locomotion
Merkourios Simos, Alberto Chiappa, Alexander Mathis

1-017
Heterogeneity of intrinsic timescales emerges from structural connectivity and partially symmetric couplings.
Samir Suweis, Marco Zenari, Luca Taffarello, Luca Mazzucato, Amos Maritan

1-018
Aberrant brain state dynamics during decision-making in Binge Eating Disorder
Bengier Ulgen Kilic, Laura Berner, Vincenzo Fiore

1-019
A unifying theory of receptive field heterogeneity predicts hippocampal spatial tuning
Zach Cohen, Jan Drugowitsch

1-020
Identifiability in Low-Rank Recurrent Neural Networks from Partial Task-Relevant Modes
Mussi Levin, Ran Darshan

1-021
Testing an integrative framework for the human sense of control
Alireza Modirshanechi, Peter Dayan, Eric Schulz

1-022
A frontal motor circuit for economic decisions and actions
Oliver Gauld, Chaofei Bao, Jingjie Li, Timothy Sit, Gauthier Boeshertz, Joseph Warren, Joseph Tutt, Yang Pan, Claudia Clopath, Jeffrey Erlich, Chunyu A Duan

1-023
Unsupervised framework for discovering functional neuronal ensembles from population dynamics
Shira Lifshitz, Ofir Lindenbaum, Gal Mishne, Ron Meir, Hadas Benisty

1-024
Distributed engrams enable parallelized orthogonal computations within and across brain regions
Douglas Feitosa Tome, Chenchen Shen, Basile Confavreux, Madhumathan Mukherjee, Ying Zhang, Dheeraj Roy, Tim Vogels

1-025
Synaptic mechanisms of temporal coding in the Drosophila mushroom body
Nathan Buerkle, James Jeanne

1-026
Incorporating spike train fine structure increases stimulus detectability by an order of magnitude in the vestibular system
Isabelle Mackrous, Jerome Carriot, Kathleen Cullen, Maurice Chacron

1-027
Vicarious body maps bridge vision and touch in the human brain
Tomas Knapen, Thomas Naselaris, Kendrick Kay, Nick Hedger

1-028
Evolution of the sensorimotor transformations underlying context-dependent singing in Drosophila
Dawn J Tan, Jan Clemens

1-029
Psychedelics Shift Decision Strategies and Reconfigure Orbitofrontal Dynamics
Cristina Delgado Sallent, Sanaa Ahmed, Anosha Khawaja-Lopez, Benjamin Lee, Ryan Senne, Benjamin Scott, Steve Ramirez

1-030
Phase/Amplitude Reduction: A Framework for Understanding Brain Responses to Transient Inputs
Nga Nguyen, Pierre Houzelstein, Alberto Perez-Cervera, Boris Gutkin

1-031
Revealing task-relevant dynamics via decomposition of intrinsic and input-driven dynamics
Maximilian Schwabe, Arman Behrad, Roxana Zeraati, Shervin Safavi

1-032
Delineating the role of CA1 excitatory-inhibitory interactions in learning
Joaquin Gonzalez, Mihaly Voroslakos, Gyorgy Buzsaki, Zhe Sage Chen

1-033
Common coarse-to-fine transition across the developing neocortex
Lorenzo Butti, Deyue Kong, Nathaniel Powell, Bettina Hein, Jonas Elpelt, Haleigh Mulholland, Gordon Smith, Matthias Kaschube

1-034
Intrinsic Goals for Autonomous Agents: Niche-relative Exploration in Virtual Zebrafish Predicts Ethological Behavior and Whole-brain Dynamics
Reece Keller, Alyn Kirsch, Felix Pei, Xaq Pitkow, Leo Kozachkov, Aran Nayebi

1-035
Mental simulation explains the emergence of collapsing decision bounds in value-based choice
Tomas Winegar

1-036
Regular Hexagonal Grid Cell Maps in Complex Environments
Peter Doohan, Charles Burns, Timothy Behrens, Thomas Akam

1-037
No feedback needed: human MFC neurons encode forward models to enable internal error detection
Jake Gavenas, Zhongzheng Fu, Chrystal Reed, Adam N Mamelak, Ueli Rutishauser

1-038
Characteristics and dynamical signatures of recurrent cortical circuits during context-dependent processing
Yue Kris Wu, Kenneth Miller

1-039
Animal behavioral analysis and neural encoding with transformer-based self-supervised pretraining
Yanchen Wang, Han Yu, Ari Blau, Yizi Zhang, International Brain Laboratory, Liam Paninski, Cole Hurwitz, Matthew Whiteway

1-040
Whole-Brain Connectome-Instantiated Model for Whole-Body Movement Control in Drosophila
Zehao Jin, Yaoye Zhu, Chen Zhang, Yanan Sui

1-041
Plasticity versus recurrent dynamics-based value computation for meta-learning
Jaeeon Lee, Jay Hennig, Vanessa Frelih, Naoshige Uchida

1-042
From a unified vector-coding account to a domain-general theory of subicular function
Fei Wang, Andrej Bicanski

1-043
Pre-saccadic attention increases motion information read-out from marmoset area MT/MTC populations
Milad Qolami, Jude Mitchell

1-044
A high-throughput computer vision pipeline for analyzing the facial expression in marmosets during natural behavior
Jiachang Hao, Shuyi Wang, Junjie Wang, Xinfeng Chen, Yukai Xu, Shijia Yuan, Wei Gong, Joji Tsunada, Ying Li, Ni Ji, Tatsuo Okubo

1-045
Network architecture shapes memory storage in hippocampal CA3 models
Andrea Navas-Olive, Jake F Watson, Tim Vogels, Peter Jonas

1-046
Self-sustained oscillations link spontaneous and stimulus-driven dynamics in the barrel cortex
Benedetta Mariani, Ramon Guevara, Mattia Tambaro, Giorgio Nicoletti, Marta Maschietto, Alessandro Leparulo, Stefano Vassanelli, Samir Suweis

1-047
A recipe for motor networks that generate self-sustained rhythmic, and goal-directed movements.
Nicoleta Condruz, Chaitanya Chintaluri, Ivan Bulygin, Tim Vogels

1-048
Investigating the computational principles underlying dynamical auditory cortical representations
Lior Fox, Arielle Rosinski, Jennifer F Linden, Maneesh Sahani

1-049
Context-dependent efficient coding
Gabor Lengyel, Mate Lengyel, Jozsef Fiser

1-050
From sequences to schemas: How recurrent neural networks learn temporal abstractions
Vezha Boboeva, Alberto Pezzotta, George Dimitriadis, Athena Akrami

1-051
An integrated neuro-hemodynamic whole-brain model with a trainable network of nonlinear oscillators
Anirban Bandyopadhyay, V Srinivasa Chakravarthy, Dipanjan Roy

1-052
Detailed biophysical models of patch-clamp recordings in human cortex from infancy to adulthood
Lisa Schmors, Matthijs B Verhoog, Roxanne M Hattingh, Joseph V Raimondo

1-053
A Computational Framework for Human-Like Hierarchical Visual Organization
Gonzalo Muradas Odriozola, Tinne Tuytelaars, Johan Wagemans

1-054
From blank slates to connectomes: how connectivity shapes ring attractor dynamics in trained RNNs
Brad Hulse, Aneesh Prema Balakrishnan, Sandro Romani, Vivek Jayaraman, Ann Hermundstad

1-055
Learning task-agnostic motor motifs as building blocks of continuous animal behavior
Jiyi Wang, Jingyang Ke, Bo Dai, Anqi Wu

1-056
Sensorimotor remapping drives task specialization in prefrontal cortex
Hugo Tissot, Yves Boubenec

1-057
Structural robustness of neural wiring across primate species
Ittai Shamir, Rony Paz

1-058
Zero- and few-shot rule inference through distinct prefrontal and parietal mechanisms
Ningyu Zhang, Zian Luo, Ning-long Xu

1-059
Active electrosensing and communication in MARL-trained weakly electric fish foraging agents
Sonja Johnson-Yu, Satpreet Singh, Zhouyang Lu, Aaron Walsman, Federico Pedraja, Denis Turcu, Pratyusha Sharma, Naomi Saphra, Nathaniel Sawtell, Kanaka Rajan

1-060
Input-dependent directionality of interactions between cortical areas
Francesca Mastrogiuseppe, Joana Carmona, Byron Yu, Adam Kohn, Christian Machens

1-061
Hierarchical abstraction of long timescale behavior in a reconfigurable 3D environment
Tzuhsuan Ma, Jakob Voigts, Ann Hermundstad

1-062
Riemannian Alignment of Tangent Spaces for low-distortion manifold learning
Dhruv Kohli, Johannes Nieuwenhuis, Katja Zegwaard, Alexander Cloninger, Gal Mishne, Devika Narain

1-063
Sparse glomerular representations explain odor discrimination in complex, concentration-varying mixtures
George Cai, Hannah McCalmon, Constantine Tsibouris, Farhad Pashakhanloo, SueYeon Chung, Vikrant Kapoor, Venkatesh Murthy

1-064
Evolution of hippocampal place representations during few-shot episodic learning
Daniel Molinuevo Gomez, Olivier C Ulrich, Margaret R Lane, Hamza Bennani, James B Priestley

1-065
Continuous multinomial logistic regression for neural decoding
Anuththara Rupasinghe, Jonathan Pillow

1-066
Top-down modulation and diverse inhibition pathways shape timescales of cortical circuit dynamics
Fabio Veneto, Julijana Gjorgjieva

1-067
Uncovering Dynamic Neural Information Flow with Nonstationary Dynamic Bayesian Networks
Alec Sheffield, Sachira Denagamage, Mitchell Morton, Anirvan Nandy, Monika Jadi

1-068
Distributed top-down control of auditory cortex
Michael Malina, Ross Williamson

1-069
A fast, GPU-native, accurate, and trainable biophysical detailed neuron simulator
Junfeng Lu, Zijie Yu, Yutao He, Shenjian Zhang, Kai Du, Ruiqin Xiong, Lei Ma, Tiejun Huang

1-070
Dopamine variability encodes distributional reward representations in naturalistic behavior
Feiyang Wu, Ye Zhao, Anqi Wu

1-071
Inpainting the Neural Picture: Inferring Unrecorded Brain Area Dynamics from Multi-Animal Datasets
Ji Xia, Yizi Zhang, Shuqi Wang, Genevera Allen, Liam Paninski, Cole Hurwitz, Kenneth Miller

1-072
Data-driven modeling of vocal control in multiple species
Miles Martinez, Jiaxuan Qi, Zetian Yang, Steven Eliades, Michael Long, Richard Mooney, John Pearson

1-073
Distinct families of plasticity rules support various memory functions in spiking networks
Zoe Harrington, Basile Confavreux, Maciej Kania, Herbert Edelsbrunner, Tim Vogels

1-074
From exploration to coordination: Computational models reveal learning dynamics of cooperation
Jing Yuan, Weikang Shi, Olivia Meisner, Anirvan Nandy, Steve Chang, Monika Jadi

1-075
Contributions of superior colliculus and visual cortex to visual detection in freely moving mice
Jisoo Kim, Riccardo Beltramo, Jasper Poort

1-076
Impact of sensorimotor delays on the dimensionality of a network model of state estimation
Astrid Doyen, Hari Teja Kalidindi, Frederic Crevecoeur

1-077
Development of variable birdsong sequences
Avani Koparkar, Thomas Eberl, Simon Bauerle, Lena Veit

1-078
A dynamic mechanism of working memory with slow branches
Zixiang Luo, Yu Hu

1-079
Balancing generalisation and discrimination through structured hippocampal representations
Wanqing Jiang, Noe Hamou, Andrew Saxe, Andrew MacAskill

1-080
MIMIC-MJX: Neuromechanical imitation of animal behavior enables flexible models of embodied control
Charles Zhang, Aidan Sirbu, Yuanjia Yang, Eric Leonardis, Joshua Park, Aaditya Prasad, Kaiwen Bian, Elliott Abe, Emil Warnberg, Steven Flavell, Bingni Brunton, Blake Richards, Bence Olveczky, Talmo Pereira

1-081
Homeostatic Plasticity Enables Stable, Flexible, and Tunable Assemblies
Michelle Miller, Christoph Miehl, Brent Doiron

1-082
Top-down amygdala command of the respiratory pacemaker enables volitional breath control in mice
Ilayda Alkislar, Iris Bachmutsky, Mark Gergues, Kevin Yackle

1-083
A Hippocampal CA3 Network Unifies the Formation of Time Cell and Place Cell
Qiaorong S Yu, Zhaoze Wang, Vijay Balasubramanian

1-084
Interpretable time series analysis with Gumbel dynamics
Yiliu Wang, Timothy Kim, Eric Shea-Brown, Uygar Sumbul

1-085
Only brains align with brains: alignment patterns expose shortcomings of brain-alignment benchmarks
Larissa Hofling, Matthias Tangemann, Lotta Piefke, Susanne Keller, Matthias Bethge, Katrin Franke

1-086
DLC2Action: A Deep Learning-based Toolbox for Automated Behavior Segmentation
Andy Bonnetto, Elizaveta Kozlova, Alexander Mathis

1-087
Characterizing collective feature selectivity in populations of visual units
Lorenzo Tausani, Sebastiano Quintavalle, Paolo Muratore, Sebastiano Vascon, Davide Zoccolan

1-088
Real-Time Bayesian Optimization for Efficient Multidimensional Neural Tuning Characterization
Pinyi Wu, Anjali Shankar, Alvin Chiu, Monazza Shahab, Christian Burgess, Elise Savier, Anne Draelos

1-089
Specialized movement representations span functionally distinct zones of mouse sensorimotor cortex
Harrison Grier, Sohrab Salimian, Matthew Kaufman

1-090
A nonlinear inhibition pathway underlying tuned holographic optogenetic perturbations in mouse V1
Ho Yin Chau, Kenneth Miller, Agostina Palmigiano

1-091
Area-specific signatures of time-irreversibility in spontaneous neural activity of the mouse brain
Jonas Elpelt, Maren Wehrheim, Matthias Kaschube

1-092
Emergence and evolutionary tuning of temporal diversity in the fly optic lobe
Luisa Ramirez, Julijana Gjorgjieva, Marion Silies

1-093
Flexible cortical interactions support adaptive inference in changing environments
Sylvia Durian, Cheng Xue, Marlene Cohen, Stephanie Palmer

1-094
Neural population dynamics of direct electrical stimulation of neocortex
Jordan Hickman, Daniel Denman

1-095
Whole-brain gene expression and neuronal activity at cellular resolution in behaving zebrafish
Emmanuel Marquez Legorreta, Greg Fleishman, Luuk Hesselink, Mark Eddison, Kasper Smeets, Carsen Stringer, Philipp Keller, Sujatha Narayan, Alex Chen, Scott Sternson, Bernhard Englitz, Paul Tillberg, Misha Ahrens

1-096
A model of distributed reinforcement learning systems inspired by the Drosophila mushroom body
Jasmine Stone, Ashok Litwin-Kumar

1-097
Representational drift as a correlate of memory consolidation
Denis Alevi, Felix Lundt, Simone Ciceri, Kristine Heiney, Henning Sprekeler

1-098
Value-driven behaviors emerge from local learning rules in minimal neural networks using online interactions
Chenguang Li, Hanming Ye, Joanna Aloor, Chunyu A Duan, Jeffrey Erlich

1-099
Multitask transformer for intracortical speech decoding
Michal Olak, Tommaso Boccato, Matteo Ferrante

1-100
Local circuits in the superior colliculus shape nonlinear temporal multisensory integration
Haoyang Yuan, Gaia Bianchini, Florencia Iacaruso, Sadra Sadeh

1-101
Learning Reshapes Cortical Coupling Along a Low-Dimensional Manifold
Yonatan Kleerekoper, Sandra Nestler, Simon Musall, Hadas Benisty

1-102
Heterogeneous spatial encoding in area MT shapes motion perception
Lucia Arancibia, Jacob L Yates, Alexander C Huk, Klaus Wimmer, Alexandre Hyafil

1-103
Natural Scene Coding Consistency in Genetically-Defined Cell Populations
Tahereh Toosi, Kenneth D Miller

1-104
From Behavior to Neural Circuits: Employing Machine Learning and In Vivo Calcium Imaging to Explore the Mechanisms of Injury and Repair in Stroke
Vanessa Kan, Atharv Panditrao, Merna Morcos, Refugio Lara, Angel Cruz-Lociel, Kaili Gefen-Vlassopoulos, Elsa Gonzalez-Cubero, Maria del Mar Sanchez Martin, Irene Llorente

1-105
Learning to select computations in recurrent circuits
Sixing Chen, Frederick Callaway, Sreejan Kumar, Erin Rich, Joni Wallis, Marcelo G Mattar

1-106
A biologically inspired predictive coding algorithm with multiplicative and additive feedback
Charlotte Volk, Colin Bredenberg, Blake Richards

1-107
Prefrontal-hippocampal coding deficits underlie risky decision-making in an Alzheimer's mouse model
Jeansok Kim, Sanggeon Park, Bryan Schuessler, Harry Boo, Jeiwon Cho, Eun Joo Kim

1-108
Semantic Chunking and the Entropy of Natural Language
Misha Tsodyks, Tankut Can, Mikhail Katkov, Weishun Zhong

1-109
Adaptive ensemble decomposition reveals context-odor coding at distinct timescales in LEC
Yuxi Chen, Noga Mudrik, Gal Mishne, James Knierim, Adam Charles

1-110
Continual consolidation of top-down information via modulation-invariant predictive learning
Viet Anh Khoa Tran, Emre Neftci, Willem A M Wybo

1-111
E-I circuit refinement drives intrinsic dynamics in the developing visual cortex
Shreya Lakhera, Max Rensen, Julijana Gjorgjieva

1-112
Selective interactions in the motor system during reach to grasp
Adam Smoulder, Nicole Carr, Chandramouli Chandrasekaran

1-113
A control-theoretic approach to active learning of nonlinear neural dynamics
Juncal Arbelaiz, Anushri Arora, Jonathan Pillow

1-114
An information-theoretic perspective on axonal communication
Catarina Dias, Jonas Stapmanns, Jean-Pascal Pfister

1-115
From Ensembles in Visual Cortex to Deep Spiking Networks: Conserved Functional Connectivity Properties
Konstantinos Ladakis, Mario Alexios Savaglio, Sokratis Siganos, Aditi Aravind, Stelios Smyrnakis, Maria Papadopouli

1-116
A central brain circuit integrates absolute and relative temperature signals to guide thermal homeostasis in Drosophila.
Stanislav Lazopulo, Paul Garrity, Aravinthan Samuel

1-117
Metabotropic Glutamatergic Signaling Adaptively Controls Transthalamic Cortical Communication
Alan Lai, Xiao-Jing Wang

1-118
Low-rank spiking neural networks as solvers of minimax problems
Guillermo Martin-Sanchez, William Podlaski, Christian Machens

1-119
Optimal feedback solutions recapitulate key features of motor cortex activity
Muhammad Noman Almani, Shreya Saxena

1-120
Aging/Alzheimer-like degradation in a biologically plausible grid cell attractor network
Aleksei Zabolotnii, Christian Doeller, Andrej Bicanski

1-121
Taming excitatory plasticity: a local rule for stable dynamics and stimulus selectivity
Dylan Festa, Divyansh Gupta, Claudia Cusseddu, Julijana Gjorgjieva

1-122
Decoding metastable brain dynamics of larval zebrafish
Guillaume Faye-Bedrin, Matteo Dommanget-Kott, Jorge Fernandez-de-Cossio-Diaz, Georges Debregeas, Remi Monasson, Volker Bormuth

1-123
Neuronal higher-order interactions distinguish circuit motifs and brain states
Safura Rashid Shomali, Seyyed Nader Rasuli, Hideaki Shimazaki, Sadra Sadeh

1-124
Dopamine reward transients calibrate movement timing via one-shot vigor updates
Allison Hamilos, Isabella Wijsman, Qinxin Ding, Pichamon Assawaphadungsit, Zeynep Ozcan, Elias Norri, Kimberly Reinhold, Bernardo Sabatini, John Assad

1-125
Time-Resolved Recurrence Networks of EEG Reveal Altered State-Space Organization in Alzheimer’s Disease
Kaidong Wu, Haili Ye, Fei He

1-126
Neural encoding of temporal prior knowledge
Julius Koppen, Ilse Klinkhamer, Marit Runge, Lucas Bayones, Devika Narain

1-127
Subspace dynamics reveal top-down information flow across the mouse sensorimotor cortex
Abhimanyu Pavuluri, Sohrab Salimian, Harrison Grier, Matthew Kaufman

1-128
Regulation of Decision Threshold by the Locus Coeruleus
Hongjie Xia, Maxime Maheu, Gary Kane, Benjamin Scott

1-129
Inhibition creates barcodes in recurrent neural networks
Albert Wakhloo, Selmaan Chettih, Ashok Litwin-Kumar, Larry Abbott, Dmitriy Aronov

1-130
Temporally Precise Dopamine Signaling Biases Attention Toward Task-Relevant Information
Vanessa Roser, Michael Siniscalchi, Maja Skuza, Timothy Buschman, Ilana Witten

1-131
Rat frontal cortex shows context-dependent neural coding during economic decisions
Margarida Pexirra, Margot Tirole, Diksha Gupta, Jingjie Li, Jeffrey Erlich

1-132
Predictive models trained on natural behavior recover cell- and state-dependent tuning in mouse V1
Marius Schneider, Yuchen Hou, Cristopher Niell, Michael Beyeler

1-133
Inferring response times of perceptual decisions with Poisson variational autoencoders
Hayden Johnson, Anastasia Krouglova, Hadi Vafaii, Jacob L Yates, Pedro J Goncalves

1-134
Serotonin neurons track novelty and salience through transient responses and learned predictions through sustained states
Solene Sautory, Leopoldo Petreanu, Zachary Mainen

1-135
From biophysics to computation: Robust processing of complex inputs in a single neuron
Karthik Sama, Michael Deistler, Pedro J Goncalves

1-136
Thoughts to actions: behavioral reports on self-generated activity in a hippocampal-cortical circuit
Donghoon Shin, Sharon Chiang, Emrey Broyles, Michael Coulter, Kyu Hyun Lee, Allison Yorita, Razi Haque, Jose Hernandez, Loren Frank

1-137
Competition and timescale separation in calcium-based plasticity
Gustave Bainier, Ben Efron, Alessio Franci

1-138
Self-Disinhibition Stabilizes Learning During a Feature-Positive Discrimination Task
Satchal Postlewaite, Christoph Miehl, Anne-Marie Oswald, Brent Doiron

1-139
Dopamine and nucleus accumbens influence risk preference through learning, not policy
Cong Sun, Chaofei Bao, Jeffrey Erlich

1-140
A generative diffusion model reveals V2’s representation of natural images
Neel Agarwal, Gabriel Yancy, Zahra Kadkhodaie, Justin D Lieber, J Anthony Movshon, Eero P Simoncelli

1-141
Remapping Local Cues into Absolute Head Direction: Even-Odd Pathways and Three-Factor Learning
Shujia Liu, Bailu Si, Michael Herrmann

1-142
The neuron as a feedback controller of stochastic dynamics
Dmitri Chklovskii, Joshua Pughe-Sanford, Abel Sagodi

1-143
Scalable inference of functional neural connectivity at submillisecond timescales
Arina Medvedeva, Edoardo Balzani, Alex Williams, Stephen Keeley

1-144
Low-Dimensional Attractor Dynamics Underlie Flexible Memory and Action in mouse PFC
Alexandre Mahrach, Zhang Xian, Da Li, Chengyu Tony Li, Albert Compte

1-145
Multiplicative noise makes synaptic depression outperform potentiation in learned discrimination
Katharina Bergmann, Nada Y Abdelrahman, Katie Greenin-Whitehead, Julian S Jung, Melissa W Tan, Jiamu Jiang, Daichi Yamada, Toshihide Hige, Mark CW van Rossum, Andrew C Lin

1-146
Dynamic Scale Equivariance in Retinal Neural Codes Supports Object Tracking
Simone Azeglio, Remi Baroux, Peter Neri, Ulisse Ferrari, Olivier Marre

1-147
How Prior Knowledge Shapes Inductive Bias in Subsequent Learning
Nicolas Anguita, Clementine Domine, Samuel Lippl, Andrew Saxe, Flavia Mancini

1-148
Neural Geometry Dynamics Reveal Computational Roles In Multiple Brain Regions During Decision Making
Valeria Fascianelli, Jerome Munuera, Silvia Bernardi, Bin Wang, CDaniel Salzman, Stefano Fusi

1-149
A theory of multi-task computation and task selection
Owen Marschall, David Clark, Ashok Litwin-Kumar

1-150
Flexible rule switching dynamics in frontal and sensory cortical neurons during perceptual learning
Abraham Eldo, Tiange Hou, Michele Insanally

1-151
Estimating Dimensionality of Neural Representations from Finite Samples
Chanwoo Chun, Abdulkadir Canatar, SueYeon Chung, Daniel Lee

1-152
Motor manifold consolidation requires cortico-cortical communication during NREM sleep
Jaekyung Kim, Linmeng He, Karunesh Ganguly

1-153
Extremely low-dimensional latent variable models for analyzing animal vocalizations
Gily Ginosar, Miles Martinez, Niegil Francis, David Schneider, Dan Sanes, Alex Williams

1-154
Beyond Category Selectivity: Rich Semantic Encoding in Local Brain Regions
Haiyan Zhang, Yunying Wu, Shaomin Zhang

1-155
Physical Network Constraints Define the Multiplicative Architecture of the Brain's Connectome
Daniel Barabasi, Ben Piazza, Andre Ferreira-Castro, Giulia Menichetti, Albert-Laszlo Barabasi

1-156
All-optical mapping of functional connectomes of visuomotor circuits in larval zebrafish
Kaitlyn Fouke, Jacob Morra, Zichen He, Owen Traubert, John Atkinson, Eva Naumann

1-157
Efficient methods for minimal and infinite low-rank recurrent neural networks
Anushri Arora, Jonathan Pillow

1-158
Periodic grid cells and toroidal dynamics in the medial entorhinal cortex of freely flying bats
Kevin K Qi, Michael M Yartsev

1-159
Identifying low-rank connectivity distributions from neural dynamics using normalizing flows
Timothy Kim, Ulises Pereira Obilinovic, Yiliu Wang, Eric Shea-Brown, Uygar Sumbul

1-160
Primary sensory cortex shapes decision bias via the superior colliculus
Kate Hong, Alice Nam

1-161
Serotonin primarily signals investigatory facial movements, not locomotion
Stefan Hajduk, Solene Sautory, Davide Crombie, Felix Hubert, Leopoldo Petreanu, Zachary Mainen

1-162
Real-Time Whole-Brain Dynamics Tracking and Behavioral Prediction in Freely Behaving C. elegans
Yuxiang Wu, Ikrma Amad, Yukun Cheng, TIanqi Xu, Quan Wen

1-163
High-density electrophysiology reveals architecture and circuitry in macaque visual cortex
Catherine Yue, Ethan Trepka, Ruobing Xia, Shude Zhu, Tirin Moore

1-164
Building Sparse Cognitive Graphs through Dopamine-Dependent Reinforcement Learning
Adithya Gungi, Ines Aitsahalia, Pradyumna Sepulveda, Marta Blanco-Pozo, Kiyohito Iigaya

1-165
Statistical field theory of short-term synaptic plasticity
Audrey Teasley, Gabriel Ocker

1-166
Learning color-shape concepts in macaque monkeys
Spencer Loggia, James Cavanaugh, Bevil Conway

1-167
Divergence of spectral and vocalization tuning during development revealed by longitudinal imaging of the mouse auditory cortex
Megan Kirchgessner, Mihir Vaze, Robert Froemke

1-168
Representational geometry shapes working memory errors
Matteo Alleman, Matthew Panichello, Timothy Buschman, Jeff Johnston

1-169
Spatially tuned feedforward and recurrent input drives visual selectivity in mouse frontal cortex
Anthony Lien, Soon Ho Kim, Hannah Choi, Bilal Haider

1-170
Hierarchical neural circuit theory of normalization and inter-area communication
Asit Pal, Shivang Rawat, David Heeger, Stefano Martiniani

1-171
The dorso-medial prefrontal cortex abstracts space into a low-dimensional manifold
Rajyashree Sen, Alexander Medoff, Lorenzo Posani, Larry Abbott, Richard Axel, Stefano Fusi

1-172
Complete signal detection reveals emergent role specialization in collective behavior networks
Nolan Bonnie, Owen Martin, Daniel Larremore, Orit Peleg

1-173
Slow timescales generically emerge from marginal normalization
Mia Morrell, Flaviano Morone, David Heeger, Stefano Martiniani

1-174
Precise control of neuronal populations at native resolution using electrical stimulation
Aj Phillips, Amrith Lotlikar, Madeline Hays, Jeff Brown, Praful Vasireddy, Huy Nguyen, Pawel Hottowy, Alexander Sher, Alan Litke, EJ Chichilnisky

1-175
Prefrontal plasticity and representational drift are enhanced by MDMA during fear extinction
Nitzan Geva, Sarah Jefferson, Emi Krishnamurthy, Alfred Kaye

1-176
Algorithmic Primitives and Compositional Geometry of Reasoning in Language Models
Samuel Lippl, Thomas McGee, Kimberly Lopez, Ziwen Pan, Pierce Zhang, Salma Ziadi, Oliver Eberle, Ida Momennejad

1-177
Asymmetric prediction error coding generalizes across reward types in monkey midbrain dopamine neurons
Carl Lindersson, Timothy Muller, Armin Lak, Steven Kennerley

1-178
Latent gating in the head direction system reconciles competing reference frames
Kathryn Mcclain, Stefano Martiniani, David Heeger

1-179
BMI adaptations decompose into global and local learning dynamics
Sofia Pereira da Silva, Henning Sprekeler, Friedrich Schuessler

1-180
Sensorimotor transformation in a neural circuit for directed walking in Drosophila
Divya Sthanu Kumar, Anthony Moreno-Sanchez, Nino Mancini, Kazuma Murakami, Jessica Ausborn, Salil Bidaye

1-181
RNN initialization schemes bring learning trajectories into alignment with rodent hippocampal data
Hugo Kaladjian, Tyler Boyd-Meredith, Andrew Saxe

1-182
Jointly Embedded Inference of Neural Dynamics
Anirudh Jamkhandi, Ali Korojy, Olivier Codol, Guillaume Lajoie, Matthew Perich

1-183
Neural mechanisms underlying multisensory associative learning
Ishani Ganguly, Andrew Liu, Amanda Gonzalez-Segarra, Ricardo Mora, Gabriel Yancy, Alvaro Sanz Diez, Valentin Dalstein, Malavika Ganesan Singh, Elena Nicole Hardy, Ashley Chung, Gonzalo Alarcon, Madeline Lucille Galloway, Ashika Prakash, Kimia Monzavi, Ashok Litwin-Kumar, Rudy Behnia

1-184
Somato-dendritic coupling is not modulated by stimulus predictability
Timothy Henley, Joshua Tindall, Jason Pina, Roman Pogodin, Joel Zylberberg, Blake Richards

1-185
MERgE: A novel method for bridging network dynamics and single cell currents in vivo
Matthew B Phillips, Jeong Woo Kim, Michael Long

1-186
Predicting neural responses to perturbations using connectome-constrained networks
Krishan Kumar, Manuel Beiran, Ishani Ganguly, Ashok Litwin-Kumar

1-187
Musculoskeletal Imitation Learning: Physics-Aware Constraints Promote Naturalistic Muscle Activity
Eric Leonardis, Akira Nagamori, Ayesha Thanawalla, Yuanjia Yang, Hutton Saunders, Jesse Gilmer, Charles Zhang, Kaiwen Bian, Bence Olveczky, Mazen Al Borno, Eiman Azim, Talmo Pereira

1-188
The basal ganglia as a distributed reinforcement learning system computing general values
Zijing Wu, Romane Charpentier, Manoosh Samiei, Doina Precup, Nishanth Anand, Paul Masset

1-189
Dense and sparse representations to control the generalization–flexibility tradeoff in neural networks
Yu Jin Oh, Ramon Nogueira

1-190
Neural populations encode multi-timescale behavioral dynamics in largely orthogonal subspaces
Alexander Ladd, Anna Bowen, David Ottenheimer, Nicholas Steinmetz

1-191
Predicting Synaptic and Neural Activity via Ensemble Modeling in Larval Zebrafish Pretectum
Selimzhan Chalyshkan, Tirthabir Biswas, Fumi Kubo, Herwig Baier, James Fitzgerald

1-192
Towards mono-semantic and explainable fMRI decomposition via sparse autoencoders
Navve Wasserman, Matias Cosarinsky, Tamar Rott Shaham, Michal Irani

1-193
Grid cells in frontal cortex represent abstract knowledge
Elena Gutierrez, Sebastijan Veselic, Janahan Selvanayagam, Timothy Muller, James L Butler, Timothy Behrens, Steven Kennerley

1-194
Mapping myelin in connectomics data: Structural and functional insights
Charles Shvartsman, Arthur Liang, Pawan Sinha

1-195
Contribution of eye movement patterns to representational drift
Yixin Yuan, Mikio Aoi, John Serences

1-196
Decoding Anatomical Structure from Neural Population Activity using Self-supervised Learning
Tianxiao He, Malhar Patel, Chenyi Li, Anna Maslarova, Mihaly Voroslakos, Nalini Ramanathan, Wei-Lun Hung, Saurabh Vyas, Eden Wu, Gyorgy Buzsaki, Erdem Varol

1-197
Rate–distortion signatures of generalization across brains and machines
Leyla Roksan Caglar, Pedro Mediano, Baihan Lin

1-198
A hypothalamic neuron subset encodes a social-tuned, investigation-driving behavioral state
Shih-Che Lin, Shi-Bing Yang

1-199
Visuomotor circuits for the detection and evasion of natural predators in Drosophila
Kevin Cury, Sachira Denagamage, Merrin Foltz, Gwyneth Card, Richard Axel

1-200
Bidirectional perturbations of place tuning reveal inhibition-mediated decorrelation in CA1
Abhishek Shah, Ivan Voitov, Atheer Musad, Zoya Khan, Darcy S Peterka, Stefano Fusi, Attila Losonczy

1-201
Joint visual-vestibular computation of head direction and reflexive eye movement
Tamas Dalmay, Luke Ewig, Botond Roska, Rava Azeredo da Silveira

1-202
Coordinated activity of midbrain circuits shapes defensive behavior
Bram Nuttin, Anna Chrzanowska, Arnau Sans Dublanc, Zoi Drakaki, Norma Kuhn, Laura Hanson, Jen Liu, Rik Luykx, Amber Bruynsteen, Karl Farrow

1-203
Stochastic synaptic dynamics under learning
Jakob Stubenrauch, Naomi Auer, Richard Kempter, Benjamin Lindner

1-204
Cortical feedback circuits enable online hierarchical credit assignment
Will Greedy, Heng Wei Zhu, Alexia Duriez, Patrick McCarthy, Kevin Kermani Nejad, Joe Pemberton, Rui Ponte Costa

1-205
Experience shapes contrast asymmetries in biological and artificial vision
Giordano Ramos-Traslosheros, Sohrab Najafian, Akshay Jagadeesh, Margaret Livingstone

1-206
A division of labour across frontal–entorhinal circuits for mapping space and behaviour
Adam Harris, Yuxing Yang, Mingyu Zhu, Peter Doohan, Thomas Akam, Mark Walton, Mohamady El-Gaby, Timothy Behrens

1-207
Is vision warped? evidence of hyperbolic geometry in the visual cortical representations
Shirin Vafaei, Takufumi Yanagisawa

1-208
A Neural Mechanism for Nested Repetition
Mathias Sable-Meyer, Svenja Kuchenhoff, Arya Bhomick, Diksha Gupta, Alon Baram, Kristopher Jensen, Sandra Reinert, Jeffrey Erlich, Mohamady El-Gaby, Timothy Behrens

1-209
Evolution of inhibitory circuit dynamics across timescales during change detection task learning
Vergil Haynes, Jinho Kim, Matt Davis, Omid Zobeiri, Andrew Shelton, Jazmin Campos, Sam Seid, Shiella Caldejon, Sean McCulloch, Sharmi Sheshamani, Arielle Leon, Peter Groblewski, Shawn R Olsen, Marina Garrett

1-210
Flexible skill composition and continual learning via contextual inference
Minni Sun, Haozhe Shan, Lea Duncker

1-211
A model based view on perisaccadic receptive field remapping in area V4
Alex Schwarz, Fred H Hamker

1-212
Transforming world to goal coordinates in the medial frontal cortex
Mingyu Zhu, Yuxing Yang, Noor Albarazi, Adam Loyd Harris, Peter Doohan, Mark Walton, Thomas Akam, Timothy Behrens, Mohamady El-Gaby

1-213
Control of electrically evoked neural activity in human visual cortex using deep learning
Pehuen Moure, Jacob Granley, Fabrizio Grani, Leili Soo, Antonio Lozano, Rocio Lopez-Peco, Adrian Villamarin-Ortiz, Cristina Soto-Sanchez, Shih-Chii Liu, Michael Beyeler, Eduardo Fernandez †

1-214
Distinct roles of parvalbumin and somatostatin interneurons in gating self-motion integration and stabilizing egocentric codes in retrosplenial cortex
Daehyun ­Oh, Jeehyun Kwag

1-215
Striatal visual responses increase prior to visuomotor learning
Andrada-Maria Marica, Jascha Achterberg, Rui Ponte Costa, Andrew Peters

1-216
Prefrontal cortical dynamics compute abstract perceptual decisions before knowledge of action mapping
Mateo Umaguing, Kenji Lee, Tian Wang, Nicole Carr, Beren Akpinar, Chandramouli Chandrasekaran

1-217
A Biologically Plausible Dense Associative Memory with Exponential Capacity
Mohadeseh Shafiei Kafraj, Dmitry Krotov, Peter E Latham

1-218
Single-Trial Neural Variability as Low-Rank Biases in Recurrent Dynamics
Shani Kaminitz, Ulises Pereira Obilinovic, Ran Darshan

1-219
Predicting traveling waves: new analytical framework links network structure to resulting dynamics
Roberto Budzinski, Alexandra Busch, Lyle Muller

1-220
Communication through dynamics: studying multi-area computations using neural variability
Francesco Massari, Aniruddh Galgali, Diogo Peixoto, William Newsome, Maneesh Sahani, Valerio Mante

1-221
Computational and Representational contributions to intensity invariance in Weber’s Law
Raghavendra Kaushik, Mafalda Valente, Juan R Castineiras, Alfonso Renart

1-222
Transition to sparse chaos in spiking neural circuits
Rainer Engelken, Fred Wolf

1-223
The basal ganglia and the cerebellum, respectively, support discrete and continuous behavioral control
Teresa Serradas Duarte, Simon Zamora, Coralie Herent, Megan R Carey, Joseph Paton

1-224
Learning time sets the scale of cortical connectivity
Carlos Stein Brito

1-225
Spatiotemporal stimulus information is systematically encoded in V1
Sam Post, William Mol, Anubhuti Goel