Dr. Larry Abbott
Guest
Podcast: Play in new window | Download (Duration: 42:07 — 57.8MB)
You can download the transcript of this episode at https://neuronair.org/ep4transcript/
1:33 – Motivation behind Dr. Abbott’s research
2:09 – Introducing Theoretical Neuroscience
3:06 – How the role of theory in the broader neuroscience community has changed over the years
5:25 – Question on postdicting rather than predicting – referring to the Neuron article Theoretical Neuroscience Rising (2008)
7:24 – True value of a model depends on the new insights it provides
8:40 – Tips for establishing collaborations between experimentalists and theorists
12:40 – The greatest contribution of theoretical neuroscience
14:20 – Key features of circuits and species
17:10 – Artificial vs. Biological Networks and Machine Learning
21:54 – The ways of making the best use of connectome data with goal-driven machine learning
25:50 – How are all signals arranged not to interfere with each other even though they are simultaneously there
30:56 – An area of Neuroscience that has been underexplored and that would benefit from theoretical attention
37:49 – Career advice from Dr. Abbott for trainees
39:50 – Episode Summary