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}
, 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}}}}
Where
m
j
{\displaystyle m_{j}}
is the activity of cell
j
{\displaystyle j}
, and
F
j
{\displaystyle F_{j}}
is the preferred input for cell
j
{\displaystyle j}
.
Note that the vector
F
{\displaystyle F}
encodes the input direction,
F
j
{\displaystyle F_{j}}
, in terms of the activation of a population of neurons.
References
- 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.