优化精度参数对应于优化预测误差的增益(参见Kalman增益)。在预测性编码的神经元似是而非的实现中,<ref name="Mumford" />这对应于优化浅表锥体细胞的兴奋性,并被解释为注意增益。<ref name="Feldman">Feldman, H., & Friston, K. J. (2010). [http://www.fil.ion.ucl.ac.uk/~karl/Attention%20uncertainty%20and%20free-energy.pdf Attention, uncertainty, and free-energy]. Frontiers in Human Neuroscience, 4, 215.</ref> | 优化精度参数对应于优化预测误差的增益(参见Kalman增益)。在预测性编码的神经元似是而非的实现中,<ref name="Mumford" />这对应于优化浅表锥体细胞的兴奋性,并被解释为注意增益。<ref name="Feldman">Feldman, H., & Friston, K. J. (2010). [http://www.fil.ion.ucl.ac.uk/~karl/Attention%20uncertainty%20and%20free-energy.pdf Attention, uncertainty, and free-energy]. Frontiers in Human Neuroscience, 4, 215.</ref> |