更改

When gradient descent is applied to action <math> \dot{a} = -\partial_aF(s,\tilde{\mu}) </math>, motor control can be understood in terms of classical reflex arcs that are engaged by descending (corticospinal) predictions. This provides a formalism that generalizes the equilibrium point solution – to the degrees of freedom problem – to movement trajectories.

When gradient descent is applied to action <math> \dot{a} = -\partial_aF(s,\tilde{\mu}) </math>, motor control can be understood in terms of classical reflex arcs that are engaged by descending (corticospinal) predictions. This provides a formalism that generalizes the equilibrium point solution – to the degrees of freedom problem – to movement trajectories.

当梯度下降法应用于动作时，运动控制可以通过传统反射弧来理解，传统反射弧是通过皮质脊髓神经递质的预测来实现的。这提供了一个形式主义，概括了平衡点的解决方案-到自由度问题-到运动轨迹。

当梯度下降应用于动作<math>\dot{a}=-\partial\u aF（s，\tilde{\mu}）</math>时，运动控制可以理解为通过下降（皮质脊髓）预测参与的经典反射弧。这提供了一种形式主义，将平衡点解推广——到自由度问题——到运动轨迹。

 

 

In predictive coding, optimising model parameters through a gradient ascent on the time integral of free energy (free action) reduces to associative or [[Hebbian theory|Hebbian plasticity]] and is associated with [[synaptic plasticity]] in the brain.

In predictive coding, optimising model parameters through a gradient ascent on the time integral of free energy (free action) reduces to associative or [[Hebbian theory|Hebbian plasticity]] and is associated with [[synaptic plasticity]] in the brain.

 

=== Perceptual precision, attention and salience 知觉的精确性、注意力和显著性===

=== Perceptual precision, attention and salience 知觉的精确性、注意力和显著性===