Learn With Jay on MSN

Backpropagation through time explained for RNNs

In this video, we will understand Backpropagation in RNN. It is also called Backpropagation through time, as here we are ...

Signature neural patterns may help predict recovery from traumatic brain injury

After traumatic brain injury (TBI), some patients may recover completely, while others retain severe disabilities. Accurately ...
eLife

Human EEG and artificial neural networks reveal disentangled representations and processing timelines of object real-world size and depth in natural images

Neural and computational evidence reveals that real-world size is a temporally late, semantically grounded, and hierarchically stable dimension of object representation in both human brains and ...
Learn With Jay on MSN

Types of RNNs: Which one to use and why?

In this video, we will look at different types of Recurrent Neural Networks. There are mainly 3 types of Recurrent Neural ...

Rethinking recurrent brain activity: Core neurons provide an alternative explanation

Neuroscientists have been trying to understand how the human brain supports numerous advanced capabilities for centuries. The ...
IEEE

Adaptive Output Feedback Control Using Lyapunov-Based Deep Recurrent Neural Networks (Lb-DRNNs)

Abstract: Unlike traditional feedforward neural networks, recurrent neural networks (RNNs) possess a recurrent connection that allows them to retain past information. This internal memory enables RNNs ...
IEEE

Quantum Gated Recurrent Neural Networks

Abstract: The exploration of quantum advantages with Quantum Neural Networks (QNNs) is an exciting endeavor. Recurrent neural networks, the widely used framework in deep learning, suffer from the ...
Frontiers

Recurrence resonance - noise-enhanced dynamics in recurrent neural networks

1 Cognitive Computational Neuroscience Group, Pattern Recognition Lab, Friedrich-Alexander-University Erlangen-Nürnberg (FAU), Erlangen, Germany 2 Neuroscience Lab, University Hospital Erlangen, ...
The New York Times

California Passes Law Protecting Consumer Brain Data

The state extended its current personal privacy law to include the neural data increasingly coveted by technology companies. By Jonathan Moens On Saturday, Governor Gavin Newsom of California signed a ...
eLife

When and why does motor preparation arise in recurrent neural network models of motor control?

This important study provides a new perspective on why preparatory activity occurs before the onset of movement. The authors report that when there is a cost on the inputs, the optimal inputs should ...