[HTML][HTML] End-to-end deep image reconstruction from human brain activity
Deep neural networks (DNNs) have recently been applied successfully to brain decoding
and image reconstruction from functional magnetic resonance imaging (fMRI) activity …
and image reconstruction from functional magnetic resonance imaging (fMRI) activity …
Deep predictive coding network with local recurrent processing for object recognition
Inspired by" predictive coding"-a theory in neuroscience, we develop a bi-directional and
dynamic neural network with local recurrent processing, namely predictive coding network …
dynamic neural network with local recurrent processing, namely predictive coding network …
Neural Encoding and Decoding with Deep Learning for Natural Vision
H Wen - 2018 - docs.lib.purdue.edu
The overarching objective of this work is to bridge neuroscience and artificial intelligence to
ultimately build machines that learn, act, and think like humans. In the context of vision, the …
ultimately build machines that learn, act, and think like humans. In the context of vision, the …