Population vector

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In neuroscience, a population vector is the sum of the preferred directions of a population of neurons, weighted by the respective spike counts.[1]

The formula for computing the (normalized) population vector, F {\displaystyle F} {\displaystyle F}, takes the following form:

F = ∑ j m j F j ∑ j m j {\displaystyle F={\frac {\sum _{j}m_{j}F_{j}}{\sum _{j}m_{j}}}} {\displaystyle F={\frac {\sum _{j}m_{j}F_{j}}{\sum _{j}m_{j}}}}

Where m j {\displaystyle m_{j}} {\displaystyle m_{j}} is the activity of cell j {\displaystyle j} {\displaystyle j}, and F j {\displaystyle F_{j}} {\displaystyle F_{j}} is the preferred input for cell j {\displaystyle j} {\displaystyle j}.

Note that the vector F {\displaystyle F} {\displaystyle F} encodes the input direction, F j {\displaystyle F_{j}} {\displaystyle F_{j}}, in terms of the activation of a population of neurons.

References

  1. Westover, M. Brandon; Eliasmith, Chris; Anderson, Charles H. (June 2002). "Linearly decodable functions from neural population codes". Neurocomputing. 44–46: 691–696. doi:10.1016/s0925-2312(02)00459-9. ISSN 0925-2312. PMC 7062372. PMID 32153318.