class_docstr: Simple zeroth-order activation dynamics mapping excitation to
  activation.
  
  Explanation
  ===========
  
  Zeroth-order activation dynamics are useful in instances where you want to
  reduce the complexity of your musculotendon dynamics as they simple map
  exictation to activation. As a result, no additional state equations are
  introduced to your system. They also remove a potential source of delay
  between the input and dynamics of your system as no (ordinary) differential
  equations are involed.
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docstr: Ordered column matrix of functions of time that represent the input
  variables.
  
  Explanation
  ===========
  
  Excitation is the only input in zeroth-order activation dynamics and so
  this property returns a column ``Matrix`` with one entry, ``e``, and
  shape (1, 1).
  
  The alias ``input_vars`` can also be used to access the same attribute.
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code: def r(self):
      """Ordered column matrix of functions of time that represent the input
      variables.
  
      Explanation
      ===========
  
      Excitation is the only input in zeroth-order activation dynamics and so
      this property returns a column ``Matrix`` with one entry, ``e``, and
      shape (1, 1).
  
      The alias ``input_vars`` can also be used to access the same attribute.
  
      """
      return Matrix([self._e])
  
imports: from abc import ABC, abstractmethod
  from functools import cached_property
  from sympy.core.symbol import Symbol
  from sympy.core.numbers import Float, Integer, Rational
  from sympy.functions.elementary.hyperbolic import tanh
  from sympy.matrices.dense import MutableDenseMatrix, zeros
  from sympy.physics.biomechanics._mixin import _NamedMixin
  from sympy.physics.mechanics import dynamicsymbols
label_desc: Use image node_id 7 for calling the ZerothOrderActivation obj's underlying member method code with example usage: obj.r() and returns: Matrix