83 citations · 128 across the 10 of their papers we have counts for
3 papers · 1 filter
Deep adversarial neural decoding
Yağmur Güçlütürk, Umut Güçlü, Katja Seeliger +3
Here, we present a novel approach to solve the problem of reconstructing perceived stimuli from brain responses by combining probabilistic inference with deep learning. Our approac…
Modeling the dynamics of human brain activity with recurrent neural networks
Umut Güçlü, Marcel A. J. van Gerven
Encoding models are used for predicting brain activity in response to sensory stimuli with the objective of elucidating how sensory information is represented in the brain. Encodin…
Brains on Beats
Umut Güçlü, Jordy Thielen, Michael Hanke +1
We developed task-optimized deep neural networks (DNNs) that achieved state-of-the-art performance in different evaluation scenarios for automatic music tagging. These DNNs were su…