The representation of individual memories in a recurrent neural network can be efficiently differentiated using chaotic recurrent dynamics.
Learn about the most prominent types of modern neural networks such as feedforward, recurrent, convolutional, and transformer networks, and their use cases in modern AI. Neural networks are the ...
Hosted on MSN
New look at dopamine signaling suggests neuroscientists' model of reinforcement learning may need to be revised
Dopamine is a powerful signal in the brain, influencing our moods, motivations, movements, and more. The neurotransmitter is crucial for reward-based learning, a function that may be disrupted in a ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback