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Poster Session I

Thu 14 Oct

14–16h, Lisbon time


1

Rethinking supervised learning: insights from biological learning and from calling it by its name


Alex Hernandez-Garcia



2

Arm movement features are simultaneously encoded in the geometry and timing of neural activity in primate motor cortex


Andrea Colins Rodriguez



3

Training a deep neural network on variable task-irrelevant Gabor stimuli increases generalization performance of the network


Aslan Satary Dizaji



4

Dual Dimensionality Reduction


Eslam Abdelaleem



5

Neural circuits that support robust and flexible navigation in dynamic naturalistic environments


Hannah Haberkern



6

Dopamine release reflects value-less prediction errors during sensory-sensory learning


Kauê Costa



7

Multi-scale hierarchical neural network models that bridge from single neurons in the primary visual cortex to object recognition behavior


Tiago Guerra Marques



8

An AI approach to personalize computerized cognitive training interventions


Melina Vladisauskas



9

Statistical properties of large data sets with linear latent features


Philipp Fleig



10

A bridge between physiological and perceptual views of autism by means of recurrent neural networks optimized to perform sampling-based Bayesian inference


Rodrigo Echeveste



11

Predictive coding is a consequence of energy efficiency in recurrent neural networks


Abdullahi Ali



12

Understanding spiking neural networks geometrically: linking convex optimization, computations and biology


Allan Mancoo



13

Modelling short-term adaptation in human visual cortex during natural image processing reveals differences in adaptation across the visual hierarchy.


Amber Brands



14

How do Convolutional Neural Networks understand shape?


Amr Farahat



15

Deep learning system for online rodent behavioral recognition and automated control of behavioral mazes


Ana Gerós



16

Uncovering multiple immobility states and predicting movement onset from leg muscle activity in Drosophila melanogaster


Anna Hobbiss



17

From event-based computations to a bio-plausible Spiking Neural Network


Antoine Grimaldi



18

Energy efficiency constrains the implementation of active computations in cortical dendrites


Arco Bast



19

Calculating conditional distributions with variational autoencoders in simultaneously recorded neural and behavioural data


Auguste Schulz



20

Mouse sexual behavior classification in real-time using supervised learning with accelerometer data.


Bertrand Lacoste



21

Regionally distinct striatal circuits support broadly opponent aspects of action suppression and production


Bruno Cruz



22

Modeling subquantal synaptic transmission based on sub-synaptic glutamate receptor distribution


Camille Gontier



23

Adaptive noise optimizes the generalization properties of sensory networks


Carlos Stein



24

Decoding self-initiated behaviors in mice several seconds prior to movement using widefield calcium imaging


Catalin Mitelut



25

Predictive coding of natural images by V1 activity revealed by self-supervised deep neural networks


Cem Uran



26

Spatial maps in piriform cortex during olfactory navigation


Cindy Poo



27

Using Explainable AI to Investigate Navigational Affordances in Real-world Scenes


Clemens Bartnik



28

Harnessing chaotic oscillations in networks for visual attention


David Northmore



29

Response outcome gates the effect of spontaneous cortical state fluctuations on perceptual decisions


Davide Reato



30

Cerebellar population activity during mouse locomotion


Diogo Duarte



31

The neural control of gait switching in larval zebrafish


Elena Hindinger



32

Single-phase and efficient deep learning in neocortical networks


Heng Zhu



33

A systematic assessment of single cell properties of cortical GABAergic interneurons


Felipe Yáñez



34

SocialNet: a deep network model of interactions in groups that is both accurate and interpretable


Francisco Romero-Ferrero



35

Role of cortical feedback in shaping sensory representations


Gabriela Fioreze



36

Incremental learning of new classes: generative replay versus generative classification


Gido van de Ven



37

Stimulating serotonergic neurons in the dorsal raphe nucleus during decision making results in stronger priors which are updated more rapidly


Guido Meijer



38

Cortico-cerebellar networks as decoupling neural interfaces


Ellen Boven



39

Cortico-cerebellar loops drive task-specific dynamics: a computational approach


Joseph Pemberton



40

Gaussian process latent variable models for neural data analysis


K.T. Jensen



41

Self-supervised learning in superficial and deep neocortical layers


Kevin Kermani Nejad



42

Towards a deep learning framework of cholinergic modulation in Alzheimer’s Disease


Maija Filipovica



43

Task-specific gating in recurrent neural networks


Milton Montero



44

Exploration and preference satisfaction trade-off in reward-free learning


Noor Sajid



45

Continual deep reinforcement learning in hippocampal networks


Samia Mohinta



46

Behavioral underpinnings of Obsessive Compulsive Disorder


Tiago Quendera