
Sign up to save your podcasts
Or


Computational neuroscientists rely on simplification when they make their models. But what is the right level of simplification?
When should we, for example, use a biophysically detailed model and when a simplified abstract model when modelling neural dynamics? What are the problems of simplifying too much, or too little?
This was the topic of the panel discussion between a science philosopher (MC), author of the recent book “The Brain Abstracted”, and an experienced modeler (TS) at the FENS Regional Meeting in Oslo in June 2025.
By Gaute Einevoll5
66 ratings
Computational neuroscientists rely on simplification when they make their models. But what is the right level of simplification?
When should we, for example, use a biophysically detailed model and when a simplified abstract model when modelling neural dynamics? What are the problems of simplifying too much, or too little?
This was the topic of the panel discussion between a science philosopher (MC), author of the recent book “The Brain Abstracted”, and an experienced modeler (TS) at the FENS Regional Meeting in Oslo in June 2025.

15,200 Listeners

3,379 Listeners

1,867 Listeners

26,383 Listeners

764 Listeners

1,083 Listeners

524 Listeners

823 Listeners

921 Listeners

4,147 Listeners

7,062 Listeners

89 Listeners

489 Listeners

5,479 Listeners

491 Listeners