2022 Symposium revealed! ︎︎︎ Tumour Microenvironment   ︎  Revisit CRS21 available talks by clicking on their titles  ︎  Revisit the available posters by clicking on the poster title  ︎  CRS21 Digital Booklet  ︎  2022 Symposium revealed! ︎︎︎ Tumour Microenvironment   ︎  Revisit CRS21 available talks by clicking on the talks titles  ︎  Revisit the available posters by clicking on the poster title  ︎  CRS21 Digital Booklet  ︎  



Poster Session II
Fri 15 Oct

13:30—15:30h, Lisbon time


47

Innate heuristics and fast learning support flexible action selection during escape


Federico Claudi



47

Rich and lazy learning in RNNs trained on neuroscience tasks?


Friedrich Schuessler



49

Local plasticity rules can learn deep representations using self-supervised signals from gaze changes


Guillaume Bellec



50

State predictions in primary olfactory cortex


Hanne Stensola



51

Two-argument activation functions learn soft XOR functions like brain neurons


Kijung Yoon



52

Onset and transition to coordinated neural activity in Danionella translucida embryo


Inês Diogo



53

Capturing cellular and circuit mechanisms of sensory perception in artificial intelligence systems


Marcel Oberlaender



54

Nonlinear computations in spiking neural networks through multiplicative synapses


Michele Nardin



55

Category-orthogonal object features guide modulatory operations in recurrent neural networks trained for invariant object categorization.


Sushrut Thorat



56

Efference copy-based flight control models for multi-featured visual scenes


Anmo Kim



57

Hebbian plasticity in parallel synaptic pathways: A circuit mechanism for systems memory consolidation


Denis Alevi



58

Quality of internal representation shapes learning performance in feedback neural networks


Lee Susman



59

Decoding orientation distributions from noisy observations in the primary visual cortex


Hugo Ladret



60

Behavioral signatures of inter-mouse learning variability


Inês Laranjeira



61

Constraining connectivity rules using Bayesian inference


Jan Boelts



62

Early-selection of relevant stimuli through context-dependent population dynamics during flexible behaviour


Joao Barbosa



63

Unsupervised movement classification gives new insights into social behavior, behavioral diversity, psychiatric diseases and how the motor system works.


João Marques



64

A contrastive rule for meta-learning


Nicolas Zucchet



65

A novel head-fixed conditioning paradigm for larval zebrafish


Joaquim Contradanças



66

Faithful encoding of interlimb coordination by individual Purkinje cells during locomotion


Jorge Ramirez



67

Control limitations shape perceptual decision making


Juan Castiñeiras



68

Latent Structure in Deep Spiking Auto-encoders


Justus Hübotter



69

Exploring mouse retinal color processing in the light of ecological relevance through modeling and in-silico experiments


Larissa Höfling



70

Ultra-fast categorization of image containing animals in vivo and in computo


Laurent Perrinet



71

Statistical relationships between single cell properties and in-vivo activity of the GABAergic population in the neocortex


Luis Fernando Messore



72

Aligning Artificial Neural Networks and Ontologies towards Explainable AI


Manuel de Sousa Ribeiro



73

Topographic artificial neural networks predict the behavioral effects of causal perturbations in primate visual ventral stream IT


Martin Schrimpf



74

Credit Assignment in Neural Networks through Deep Feedback Control


Matilde Tristany Farinha



75

Predictive Plasticity: Anticipation of spike patterns at the single neuron level and emergence of spike-timing-dependent plasticity


Matteo Saponati



76

Context dependent anticipation and action signaling by basal ganglia output and thalamic circuits


Mauricio Toro



77

Disparate energy consumption despite similar network activity


Michael Deistler



78

Design of a dynamic maze task for assessing flexible goal-directed navigation and it's neural substrates


Michael Pereira



79

Locating inflammation in the human jaw with artificial intelligence


Miguel Stanley



80

Exploring the scaling up of GAIT-Prop, a biologically plausible learning algorithm


Nasir Ahmad



81

Using optogenetics to identify the functional elements of a perceptual decision: a modelling study


Naz Belkaya



82

Deep active inference in robotics and brain-like body perception


Pablo Lanillos



83

Attractor Neural Network modelling of the Lifespan Retrieval Curve


Patrícia Pereira



84

The structure of recurrent neural networks and its effects on learning


Pau Vilimelis Aceituno



85

Constraining mechanistic spiking networks with neural population recordings using simulation-based inference


Richard Gao



86

Neurobiological design principles for artificial perception


Rieke Fruengel



87

SoftEtho: A Gradient-Based Method for Scalable Identification of Ethological Models


Robert Lange



88

The role of visual experience on the functional organization of cortical feedback


Rodrigo Dias



89

Using Recurrent Neural Networks to model the dynamic behaviour of the C. Elegans nervous system


Ruxandra Barbulescu



90

How spiking neural networks can flexibly trade off performance and energy use


Sander Keemink



91

Efficient coding of working memory


Severin Berger



92

Probing the mechanistic implementation of temporal control using behaviour


Sofia Freitas



93

Puppet or puppeteer? Temporal reversals in the temporal lag between neural activity and behavior in the mouse prefrontal cortex.


Tiago Costa