Deep Neural Networks: A New Framework for Modeling Biological Vision and Brain Information Processing
MRC Cognition and Brain Sciences Unit · University of Cambridge · +1 more institution
Abstract
Recent advances in neural network modeling have enabled major strides in computer vision and other artificial intelligence applications. Human-level visual recognition abilities are coming within reach of artificial systems. Artificial neural networks are inspired by the brain, and their computations could be implemented in biological neurons. Convolutional feedforward networks, which now dominate computer vision, take further inspiration from the architecture of the primate visual hierarchy. However, the current models are designed with engineering goals, not to model brain computations. Nevertheless, initial studies comparing internal representations between these models and primate brains find surprisingly…
Citation impact
- FWCI
- 30.13
- Percentile
- 100%
- References
- 116
Authors
1Topics & keywords
- Computer science
- Artificial intelligence
- Feed forward
- Artificial neural network
- Computational model
- Convolutional neural network
- Hierarchy
- Deep learning