This study presents a valuable advance in reconstructing naturalistic speech from intracranial ECoG data using a dual-pathway model. The evidence supporting the claims of the authors is solid, ...
Sherri Gordon, CLC is a certified professional life coach, author, and journalist covering health and wellness, social issues, parenting, and mental health. She also has a certificate of completion ...
Abstract: Existing spatio-temporal prediction networks that rely on recurrent neural networks face significant parallelization challenges, leading to high computational costs and prolonged training ...
Machine learning and neural nets can be pretty handy, and people continue to push the envelope of what they can do both in high end server farms as well as slower systems. At the extreme end of the ...
The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks, Jonathan Frankle+, ICLR'19
Neural network pruning techniques can reduce the parameter counts of trained networks by over 90%, decreasing storage requirements and improving computational performance of inference without ...
ABSTRACT: In complex network systems, load redistribution strategy has become a key means to ensure stable system operation. In practical application, load redistribution strategy needs to ...
Neurons in cortical networks are very sparsely connected; even neurons whose axons and dendrites overlap are highly unlikely to form a synaptic connection. What is the relevance of such sparse ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback