Evaluation Criteria
Clarity and Visual Impact - Visual quality and organization of the poster. If the presenter is present, the clarity of their speech is also taken into account /10
Scientific Innovation - Originality, creativity, and the novel contribution of the research presented /10
Neuro-AI Integration - Relevance and quality of the integration of approaches in neuroscience and artificial intelligence /10
Submissions were considered by the jury for the following categories
The UNIQUE Neuro-AI award best poster award (Masters level) - 3 awards
The UNIQUE Neuro-AI best poster award (PhD level) - 4 awards
The UNIQUE Neuro-AI best poster award (Postdoc level) - 1 award
MSc Level
Exploring the temporal dynamics of masked face expression recognition: Insights from CNNs and EEG [M1]
Maryem Benslimane, Université de Montréal
Supervisor: Karim Jerbi
Automatic radiology assessment of Lumbar Degenerative Diseases [M2]
Thomas Dagonneau, Polytechnique Montréal
Supervisor: Julien Cohen-Adad
Bidirectional Information Flow (BIF) - A Sample Efficient Hierarchical Gaussian Process for Bayesian Optimization [M3]
Juan Guerra, Polytechnique Montréal
Supervisor: Marco Bonizzato
Persistent decision making in mice, monkeys and humans [M4]
Veldon-James Laurie, Université de Montréal
Supervisor: Becket Ebitz
Analytical and computational approach to structure-function relationships in mesoscopic neural networks [M5]
Arthur Légaré, Université Laval
Supervisor: Patrick Desrosiers
VISGate: ROI-Conditioned Dual-Head Encoders that Align Visual Features and Brain Responses [M6]
Morteza Mahdiani, Université de Montréal
Supervisor: Ian Charest
Using Complexity and Machine Learning to determine the Epileptogenic Zone in Drug-Resistant Epilepsy [M7]
Yorguin Jose Mantilla Ramos, Université de Montréal
Supervisor: Karim Jerbi
ML-Based Discovery of EEG Biomarkers in childhood epilepsy [M8]
Syrine Matoussi, Université de Montréal
Supervisor: Karim Jerbi
Investigating the underlying capacity for consciousness through inter-brain synchronization: A pilot study [M9]
Anaïs Rourre, Université de Montréal
Supervisor: Catherine Duclos
Shared spatial representations during pain modulation induced by hypnotic suggestions [M10]
Dylan Sutterlin, Université de Montréal
Supervisor: Pierre Rainville
Audiovisual Multisensory Processing in Complex and Dynamic Contexts: A Behavioural Approach [M11]
Elizaveta Sycheva, Université de Montréal
Supervisor: Shahab Bakhtiari
A biologically inspired predictive coding algorithm with multiplicative and additive feedback [M12]
Charlotte Volk, McGill University
Supervisor: Blake Richards
PhD Level
A Self-Supervised Foundation Model for STED Microscopy: Application to Detection of Anomalous Synaptic Structures [D1]
Frédéric Beaupré, Université Laval
Supervisor: Christian Gagné
Reducing human interactions in automated systems with machine learning [D2]
Anthony Bilodeau, Université Laval
Supervisor: Flavie Lavoie-Cardinal
Neural activity resolved in space and time through fusion of large-scale EEG and fMRI datasets [D3]
Peter Brotherwood, Université de Montréal
Supervisor: Ian Charest
Koopman's analytical approach to recurrent neural networks [D4]
Benjamin Claveau, Université Laval
Supervisor: Patrick Desrosiers
Spatially- and non-spatially tuned hippocampal neurons exhibit distinct linear and non-linear representations [D5]
Maxime Daigle, McGill University
Supervisor: Pouya Bashivan
Deep learning-based decoding of axonal microstructures under genetic modulation using EM imaging [D6]
Nianqi Deng, McGill University
Supervisor: Anmar Khadra
mne-mobi-AI: Building the Cognitive Engine for the Next Generation of MoBI Research [D7]
Sina Esmaeili, Université de Montréal
Supervisor: Karim Jerbi
seq-JEPA: Autoregressive Predictive Learning of Invariant-Equivariant World Models [D8]
Hafez Ghaemi, Université de Montréal
Supervisor: Eilif Muller
Behavioral biometrics for participant re-identification in XR [D9]
Mariem Hafsia, Université de Montréal
Supervisor: Guillaume Dumas
Generalizable, real-time neural decoding with hybrid state-space models [D10]
Nanda Harishankar Krishna, Université de Montréal
Supervisor: Guillaume Lajoie
Jedi: Jointly Embedded Inference of Neural Dynamics [D11]
Anirudh Jamkhandi, Université de Montréal
Supervisor: Matthew G. Perich
Simultaneous detection and estimation in olfactory sensing [D12]
Chen Jiang, McGill University
Supervisor: Paul Masset
Function aligns with geometry in locally connected neuronal networks [D13]
Antoine Légaré, Université Laval
Supervisor: Paul De Koninck
Emergent brain-like representations in a goal-directed neural network model of visual search [D14]
Motahareh Pourrahimi, McGill University
Supervisor: Pouya Bashivan
Characterizing delta oscillations during general anesthesia using hd-EEG [D15]
Clara Roca, Université de Montréal
Supervisor: Catherine Duclos
Random Initialization Can't Catch Up [D16]
Alexis Roger, McGill University
Supervisor: Irina Rish
Uncovering executive profiles in neurotypical children [D17]
Myriam Sahraoui, Université de Montréal
Supervisor: Karim Jerbi
Brain-inspired Multi-horizon Reinforcement Learning [D18]
Manoosh Samiei, McGill University
Supervisor: Doina Precup
Characterizing Myocyte enhancer factor 2 (Mef2) transcription factors in healthy adult microglia [D19]
William Saxon, Université Laval
Supervisor: Flavie Lavoie-Cardinal
dACC stimulation stabilizes behavior without affecting reward processing [D20]
Rishabh Singhal, Université de Montréal
Supervisor: Becket Ebitz
Synergy-redundancy as a predictor of recovery in DoC patients? Towards a multidimensional assessment [D21]
Joaquim Streicher, Université de Montréal
Supervisor: Catherine Duclos
Assessing Sex-Specific Nanoscopic Changes in Response to Chronic Stress [D22]
Kamylle Thériault, Université Laval
Supervisor: Flavie Lavoie-Cardinal
The basal ganglia as a distributed reinforcement learning system computing general values [D23]
Zijing Wu, McGill University
Supervisor: Paul Masset
Monkeys forgo reward for the chance to lapse [D24]
Meriam Zid, Université de Montréal
Supervisor: Becket Ebitz
Postdoctoral Level
Brain-Informed Fine-Tuning of Language Models Improves Brain Generalization and Enriches Human-Like Representations [P1]
Isil Bilgin, Université de Montréal
Supervisor: Lune Bellec
Investigating the functional role of sleep spindles through targeted memory reactivation and closed-loop auditory stimulation [P2]
Anne Calvel, Université Concordia
Supervisor: Emily Coffey
Repeated decoding optimises neural representations and is a SIMPL approach to finding latent variables in spiking data [P3]
Tom George, McGill University
Supervisor: Guillaume Lajoie