synapse
Deep Learning without Weight Transport
Mohamed Akrout, Collin Wilson, Peter Humphreys, Timothy Lillicrap, Douglas B. Tweed
Neural Information Processing Systems http://nips.cc/
- North America > Canada > Ontario > Toronto (0.15)
- Asia > Middle East > Jordan (0.05)
- Europe > United Kingdom > England > Oxfordshire > Oxford (0.04)
Inherent Weight Normalization in Stochastic Neural Networks
Georgios Detorakis, Sourav Dutta, Abhishek Khanna, Matthew Jerry, Suman Datta, Emre Neftci
Neural Information Processing Systems http://nips.cc/
- North America > United States > California > Orange County > Irvine (0.14)
- North America > United States > Indiana > St. Joseph County > Notre Dame (0.05)
- North America > Canada (0.04)
- (2 more...)
A Similarity-preserving Network Trained on Transformed Images Recapitulates Salient Features of the Fly Motion Detection Circuit
Yanis Bahroun, Dmitri Chklovskii, Anirvan Sengupta
Neural Information Processing Systems http://nips.cc/
- North America > United States > Washington > King County > Seattle (0.04)
- North America > Canada (0.04)
- Research Report > Experimental Study (1.00)
- Research Report > New Finding (0.93)
Acontrastiveruleformeta-learning
Our rule may be understood as ageneralization of contrastive Hebbian learning to meta-learning and notably, it neither requires computing second derivativesnorgoing backwardsintime,twocharacteristic features of previous gradient-based methods that are hard to conceive in physicalneuralcircuits.
a1ada9947e0d683b4625f94c74104d73-Paper.pdf
Many networks in the brain are sparsely connected, and the brain eliminates synapses during development and learning. How could the brain decide which synapses to prune?
- North America > Canada > British Columbia > Metro Vancouver Regional District > Vancouver (0.14)
- North America > United States > Louisiana > Orleans Parish > New Orleans (0.04)
- Europe > Italy > Piedmont > Turin Province > Turin (0.04)
- Europe > France (0.04)
- Europe > Germany > Baden-Württemberg > Tübingen Region > Tübingen (0.04)
- Europe > Austria (0.04)
- Europe > United Kingdom > England > Cambridgeshire > Cambridge (0.04)
- (2 more...)
- Asia > Middle East > Jordan (0.04)
- Africa > Mali (0.04)
- North America > United States > Massachusetts > Middlesex County > Cambridge (0.04)
- North America > United States (0.14)
- Asia > Middle East > Jordan (0.04)
- Europe > United Kingdom > England > Cambridgeshire > Cambridge (0.04)
- Information Technology > Artificial Intelligence > Cognitive Science (0.94)
- Information Technology > Artificial Intelligence > Representation & Reasoning > Uncertainty > Bayesian Inference (0.47)
- Information Technology > Artificial Intelligence > Machine Learning > Neural Networks > Deep Learning (0.46)
- Information Technology > Artificial Intelligence > Machine Learning > Learning Graphical Models > Directed Networks > Bayesian Learning (0.46)
- Asia > Middle East > Jordan (0.04)
- North America > Canada > Quebec > Montreal (0.04)