Deep Learning for Cognitive Neuroscience

Understand

Neural network models can now recognise images, understand text, translate languages, and play many human games at human or superhuman levels.

• These systems are highly abstracted, but are inspired by biological brains and use only biologically plausible computations.
• In the coming years, neural networks are likely to become less reliant on learning from massive labelled datasets, and more robust and generalisable in their task performance.
• From their successes and failures, we can learn about the computational requirements of the different tasks at which brains excel.