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