Abstract Neuron Models
Abstract Neuron Models
In this lesson you will learn how machine learners and neuroscientists construct abstract computational models based on various neurophysiological signalling properties.
Topics covered in this lesson
- Artificial vs biological neurons
- Reliable spike timing
- Spike frequency adaptation
Documents
Slides
(2.12 MB)
External Links
Back to the course