Speakers and organisers
Meet the speakers of our workshop. We will share more details about the talks here soon!
A Fourier analysis of neural networks preferred features for recognition
Minimizing uncertainty in visual word recognition: A Bayesian model and experiments with artificial languages
Structure, Function and Learning in Distributed Neuronal Networks
Inferring communities of neurons from their activity using spin models: when simple matters!
Dynamics of history-dependent perceptual judgment
Data-driven emergence of convolutional structure in neural networks
The representation of odors and sampling behavior in the brain cortex
TBC
Revealing latent knowledge in cortical networks during goal-directed learning
Quality of the internal representation shapes learning performance in recurrent neural networks
Approaches to brain controllability
Prune and distill: similar reformatting of image information along rat visual cortex and deep neural networks
From fixed point attractors to sequential activity in recurrent neural networks
The breaking point of the continuous quasi-attractor model for spatial memories
Minimizing information loss in large neural circuits: the role of spike-timing dependent plasticity, modulation, and inhibitory neurons.
