︎ Time in Lisbon (WEST)
Posters II
thu 16 ︎︎︎ 14:30–16h00
2
Measuring the effects of serotonergic psychedelics on the structure of neural population activity
Davide Crombie 1, Jaime Arlandis 1, Joana Catarino 2, Daniel McNamee 1, Guido Meijer 3, Martin Zuniga 4, Zachary
Mainen 1
1. Champalimaud Foundation, Lisbon, PT
2. Karolinska Institute, Solna, SE
3. Donders Institute, Nijmegen, NL
4. Princeton University, Princeton, US
3
Cortico-subcortical dynamics during complex locomotion
Martín Esparza-Iaizzo1,2*, Ioana Lazar1*, Catia Fortunato1, Mostafa Safaie1, Juan Álvaro Gallego1.
1. Department of Bioengineering, Imperial College London, London, UK
2. INBRAIN Neuroelectronics S.L, Barcelona, Spain
*equal contribution
5
Eigenmode analysis of spherical brain activity via neural field theory
K. N. Mukta 1,2 , J. N. MacLaurin 1,2 , and P. A. Robinson 1, 2
1. School of Physics, University of Sydney, New South Wales 2006, Australia
2. Center for Integrative Brain Function, University of Sydney, New South Wales 2006, Australia
6
Freezing Duration in Drosophila Reflects Bounded Accumulation of Evidence about Safety
Marco Colnaghi 1, Juan Castiñeiras 1, Mirjam Heinemans 1, Clara Ferreira 2, Marta Moita 1, Alfonso Renart 1
1. Champalimaud Foundation, Lisbon, PT
2. Northumbria University, Newcastle, UK
7
Contributions of the ACx to Fine Discriminations of Sound Lateralization
Mafalda Valente 1, Juan Castiñeiras 1, Raghavendra Kaushik Archak 1, Alfonso Renart 1
1. Champalimaud Foundation, Lisbon, PT
8
Motor Cortex Encodes Speed Through Temporal Scaling of Latent Population Dynamics
Kumar Neelabh 1, Andrea Colins Rodriguez 2, Mark D Humphries 3
1. Champalimaud Foundation, Lisbon, PT
2. Universidad Adolfo Ibáñez, Santiago, CL
3. University of Nottingham, Nottingham, UK
10
Mouse lockbox: a sequential mechanical decision-making task for freely moving mice
Marcus Nicolaas Boon 1, 2; Niek Andresen 1, 2, 4; Sole Traverso 1, 2; Sophia Meier 1, 2; Friedrich Schuessler 1, 2; Olaf Hellwich 1, 3, 4; Lars Lewejohann 1, 3, 4; Christa Thöne-Reineke 1, 4; Katharina Hohlbaum 1, 3; Henning Sprekeler 1, 2
1. Cluster of Excellence “Science of Intelligence”, Berlin, Germany, DE
2. Technische Universität Berlin, Germany, DE
3. German Centre for the Protection of Laboratory Animals, German Federal Institute for Risk Assessment, Berlin,
Germany, DE
4. Freie Universität Berlin, Berlin, Germany, DE
11
Dynamical Archetype Analysis: Autonomous Computation
Abel Sagodi 1, Il Memming Park 1
1. Champalimaud Research, Lisbon, PT
12
Facilitating cognitive synergy: AI’s ability to support collaborative cognitive search strategies
Eric Lacosse* 1, Mariana Duarte* 1, Graham Todd 2, Peter M. Todd 3, Daniel C. McNamee 1
1. Champalimaud Foundation, Lisbon PT
2. New York University, NYC
3. Indiana University, Bloomington, IN
*equal contribution
13
Larval Zebrafish’s Sophisticated Short-term Memory Shares Key Features of Working Memory with Mammals
Catarina Matos 1, A. Lucas Martins 1, João C. Marques 1, Michael B. Orger 1
1. Champalimaud Foundation, Lisbon, PT
14
Head-body coordination for high-performance courtship pursuit in Drosophila
Nuno Rito 1, Martina Canova 1,2, Miguel Paço 1, Claire Rusch 1, Sofia Pinto 1, M.Eugenia Chiappe 1
1. Champalimaud Foundation, Lisbon, PT
2. University of Bonn, Bonn, Germany
15
Planning to Learn: Active Inference of Latent Dynamics with Fisher Information
Hyungju Jeon 1, Isabel Rosário 1,2, Il Memming Park 1
1. Champalimaud Foundation, Lisbon, PT
2. Instituto Superior Técnico, Lisbon, PT
16
Exploring Human Information Processing in Virtual Reality during Physical Inverse Design
Daniel McNamee 1, Sara Monteiro 1
1. Champalimaud Foundation, Lisbon, PT
17
Forecasting motor cortical population activity during delayed reaching using XFADS
Mahmoud Elmakki 1, Matthew Dowling 1, 2, Yuan Zhao 3, Il Memming Park 1
1. Champalimaud Foundation, Lisbon, PT
2. New York University, New York, USA
3. National Institute of Mental Health, Maryland, USA
18
Contextual reconfiguration of mouse V1 representations driven by top-down input
Dimitra Maoutsa 1, 2
1. School of Life Sciences, Technical University of Munich, Munich, DE
2. Independent, DE
19
Altered States and Basic Taste Perception: Evaluating Detection and Recognition Thresholds Under Psychedelics
Zuzanna Dedyk 1,2,3; Razvan Sandru 1; Zachary Mainen 1
1. Champalimaud Foundation, Lisbon, PT
2. École Pratique des Hautes Études, Paris, FR
3. Institut Lyfe Research & Innovation Center, Ecully, FR
20
The Rest of the Fish: Light-Sheet Microscopy Imputation with Transformers
Dean Rance 1, Aaron Ostrovsky 1, Lucas Martins 1, João Marques 1, Pedro Tomás Silva 1, Carolina Gonçalves 1,
Tiago Costa 1, Michael Orger 1, Gonzalo G. de Polavieja 1
1. Champalimaud Foundation, Lisbon, PT
21
Exploring trade-offs between sequential and parallel computation in recurrent neural networks
Marcel Graetz 1, Caroline Haimerl 1, Daniel McNamee* 1, Alfonso Renart* 1
1 Champalimaud Foundation, Lisbon, PT
* equal contribution
22
Startle Responses and Behavioural State Switching
Charlie Rosher 1, Roian Egnor 2, Alice Robie 2, Violetta LaFranca 1, Matheus Farias 1, Kristin Branson 1, Marta
Moita 1
1. Champalimaud Foundation, Lisbon, PT
2. Janelia Research Campus, Virginia, USA
23
Architecture as Neuro-Cybernetic Feedback: Designing Spaces That Regulate the Human Nervous System
Arianna Bavuso 1
1. AB+AC Architects, Lisbon, PT
24
Meta-learning three-factor learning rules for structured credit assignment in recurrent neural networks
Dimitra Maoutsa 1, 2
1. Technical University of Berlin, Berlin, DE
2. Independent, DE
25
Multitasking Recurrent Networks Utilize Compositional Strategies for Control of Movement
John Lazzari 1, Shreya Saxena 1
1. Yale University, New Haven, USA
26
Multi-Agent Reinforcement Learning to understand Cooperation in Animals
Amelia Johnson 1, S William Li 1, Henry W Kietzman 1, David Backer Peral 1, R. Allie Cauchon 1, Nina Pelias 1,
Jane R. Taylor 1, Shreya Saxena 1
1. Yale University, New Haven, US
27
Towards a Disease Model of Cerebellar Ataxia Using Supervised Learning
Latavia Thompson 1, Heather Snell 1
1. Yale University, New Haven, US
28
Adaptive behavioral strategies in Drosophila courtship pursuit
Miguel Paço 1, Nuno Rito 1, Roman Goulard 2, Barbara Webb 2, Eugenia Chiappe 1
1. Champalimaud Foundation, Lisbon, PT
2. University of Edinburgh, Edinburgh, UK
29
Supervised Mechanisms for Locomotor Learning Driven by Climbing Fibers
Alice Geminiani 1*, Ana Gonçalves 1*, Hugo G. Marques 1*, Tatiana Silva 1, Francesco Costantino 1, Megan R.
Carey 1
1. Neuroscience Program, Champalimaud Center for the Unknown, Lisbon, PT
* equal contribution
30
A unifying theory for hippocampal remapping through the lens of contextual inference
Changmin Yu 1, Máté Lengyel 1, 2
1. University of Cambridge, Cambridge, UK
2. Central European University, Budapest, Hungary
31
Deep reinforcement learning to mimic neuromechanical control: realistic locomotion in an embodied fly
Elliott T. T. Abe 1, Charles Zhang 2, Raveena Chhibber 1, Grant M. Chou 1, Dang P. Q. Truong 1, Bence P. Ölveczky
2, Nathan Sniadecki 1, John C. Tuthill 1, Talmo D. Pereira 3, Bing W. Brunton 1
1. University of Washington, Seattle, USA
2. Harvard University, Boston, USA
3 Salk Institute for Biological Studies, San Diego, USA
32
Evolution Imposes an Inductive Bias that Alters and Accelerates Learning Dynamics
Benjamin Midler 1, Alejandro Pan Vazquez 1
1. Princeton Neuroscience Institute, Princeton, USA
33
A Transient Neural Code for Feedback-Driven Motor Corrections During Reaching
Nina Kudryashova [1], Cole Hurwitz [2], Matthew G. Perich [3-4], Matthias H. Hennig [1]
1. School of Informatics, University of Edinburgh; Informatics Forum, 10 Crichton St, Newington, Edinburgh EH8 9AB,
United Kingdom
2. Zuckerman Institute, Columbia University; 3227 Broadway, New York, NY 10027, United States
3. Département de neurosciences, Faculté de médecine, Université de Montréal; Pavillon Roger-Gaudry, 2900
Edouard Montpetit Blvd, Montreal, Quebec H3T 1J4, Canada
4. Mila, Quebec Artificial Intelligence Institute; 6666 Rue Saint-Urbain, Montréal, QC H2S 3H1, Canada
34
A Bio-Inspired Algorithm Enables Scalable Training of Spiking Neural Networks Using Feedback Control Across Layers
Jonathan Haag* 1; Christian Metzner* 1; Chiara De Luca 1, 2; Dmitrii Zendrikov 1; Giacomo Indiveri 1; Benjamin
Grewe 1, 3; Matteo Saponati 1
1. Institute of Neuroinformatics, University of Zurich and ETH Zurich, Zürich, CH
2. Digital Society Initiative, University of Zurich, Zürich, CH
3. ETH AI Center, ETH Zurich, Zürich, CH
*equal contribution
35
From Principles to Production: How Visual Design Shapes Understanding
Ágota Végső 1, Paulo Nuno Vicente 1, Ana Figueiras 2
1. ICNOVA, NOVA FCSH University of Lisbon, Lisbon, PT
2. CICANT, Lusófona University, Lisbon, PT
36
Dynamic Scale Equivariance in Retinal Neural Codes Supports Object Tracking
S. Azeglio* 1. 2., R. Baroux* 1., U. Ferrari 1., O. Marre 1.
1. Institut de la Vision, Sorbonne Université, INSERM, CNRS, 17 Rue Moreau, 75012, Paris, FR
2. Laboratoire des Systèmes Perceptifs, Ecole Normale Supérieure, 24 Rue Lhomond, 75005, Paris, FR
*equal contribution
37
Computational and Representational contributions to intensity invariance in Weber’s Law
Raghavendra Kaushik Archak 1, Mafalda Valente 1, Juan R. Castiñeiras de Saa 1, Alfonso Renart 1
1. Champalimaud Foundation, Lisbon, PT
38
Bridging scales between chemical space and behavioral phenotype
Adrien Jouary 1, Dean Rance 1, Gonzalo G. de Polavieja 1, Christian K. Machens 1, Michael B. Orger 1
1. Champalimaud Foundation, Lisbon, PT
39
Learning What Matters: An Episodic Memory Perspective on Video-Language Models
Inês Baptista 1, Daniel MacNamee 1
1. Champalimaud Foundation, Lisbon, PT
