Name
Title | ||
|---|---|---|
Reconstructing perceived faces from brain activations with deep adversarial neural decoding. |
Abstract | ||
|---|---|---|
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 approach first inverts the linear transformation from latent features to brain responses with maximum a posteriori estimation and then inverts the nonlinear transformation from perceived stimuli to latent features with adversarial training of convolutional neural networks. We test our approach with a functional magnetic resonance imaging experiment and show that it can generate state-of-the-art reconstructions of perceived faces from brain activations. |
Year | Venue | Field |
|---|---|---|
2017 | ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 30 (NIPS 2017) | Functional magnetic resonance imaging,Convolutional neural network,Computer science,Linear map,Neural decoding,Artificial intelligence,Maximum a posteriori estimation,Deep learning,Machine learning,Nonlinear transformation,Adversarial system |
DocType | Volume | ISSN |
Conference | 30 | 1049-5258 |
Citations | PageRank | References |
2 | 0.41 | 0 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yagmur Güçlütürk | 1 | 32 | 4.77 |
| Umut Güçlü | 2 | 88 | 10.86 |
| Katja Seeliger | 3 | 19 | 2.57 |
| Sander Bosch | 4 | 14 | 1.72 |
| Rob van Lier | 5 | 15 | 2.35 |
| Marcel Van Gerven | 6 | 321 | 39.35 |
| van Gerven, Marcel A. | 7 | 2 | 0.41 |