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Units of computation: Single Neurons or Neural Networks?

Camilo Libedinsky, Ph.D.

September 2(Thu) - September 2(Thu), 2021

12PM

ZOOM (ID: 728-142-6028)

Neuro@noon Seminar



Date:  12PM, Thursday, September 2nd



Place: ZOOM  

ZOOM 회의 참가 ID: 728-142-6028



Speaker:  Camilo Libedinsky, Ph.D.

(Department of Psychology, National University of Singapore)




Title: Units of computation: Single Neurons or Neural Networks?

 

 

Abstact:

Analysis of the activity of single neurons has provided invaluable information about brain function (i.e. orientation selective neurons in V1, motor neurons in M1, place cells in the hippocampus, etc). However, over the past 10 years, this type of analysis has been slowly displaced by analyses of neural networks. This change is not merely methodological, but rather it reflects a change in our assumptions about what constitutes the units of computation in the brain: from single neurons to neural assemblies. In this talk I will outline some of the benefits of network analyses, as compared to single-cell analyses (including work from our lab).