In this thesis we propose a 3D apparent personality prediction model as extension of the multimodal residual neural network used for first impression analysis by Güçlütürk et al. [1]. The original model was trained on ...

The division of sleep into different stages using EEG signals is a commonplace practice in sleep laboratories and an indispensable tool for clinicians and researchers. Despite the advances in artificial intelligence, the ...

Generative models of high-dimensional data, such as images or audio, are an active field of research in machine learning. Traditionally, modelling images has been treated as a regression task, such that models are optimized ...

A main interest in cognitive neuroscience is to understand how the brain is segregated into regions that subserve particular functions. There are different ways of approaching this, one of them is to cluster together brain ...

Convolutional neural networks are often used for image recognition. They have, for example, achieved the lowest error rate (0.23 percent) for the MNIST database up until now [6]. The use of receptive elds also makes ...

We introduce a convolutional neural network for inferring a compact disentangled graphical description of objects from 2D images that can be used for volumetric reconstruction. The network comprises an encoder and a ...

In this thesis, a reservoir model created by Paugam-Moisy et al. (2008) was replicated, and subsequently modified to be more biologically plausible. The use of a di erent neuron model and STDP function had no negative ...

The drawings in Figure 1 look normal on first sight. They look like a vase, a rabbit or a young lady. But after a few seconds you see something different: two faces facing each other, a duck and an old lady. Just as ...

A method for pedigree reconstruction is proposed using Markov Chain Monte Carlo and Bayesian inference, which can reconstruct the family relations of several individuals in question, based on DNA profiles. Kinship relations ...

Decoding the brain is slowly starting to become a reality. Recently, new computational models have made it possible to make reconstructions of perceived images from BOLD responses in the visual cortex. A linear Gaussian ...