コード例 #1
0
    def __init__(self, Model):

        self.input = Model.input
        self.output = Model.output
        self.input_test = Model.input_test
        self.output_test = Model.output_test

        self.gradient_ker = diff.gradient_ker(Model)
        self.gradient_NL = diff.gradient_NL(Model)

        self.hessian_ker = diff.hessian_ker(Model)
        self.hessian_NL = diff.hessian_NL(Model)

        self.paramKer = Model.paramKer
        self.paramNL = Model.paramNL

        self.lls = Model.lls
        self.Mds = Model.Mds
        self.switches = Model.switches
        #self.neustd = Model.neustd

        self.likelihood = diff.likelihood(Model)

        self.sub_membrane_potential = diff.subMembPot(Model, 'training')
        self.membrane_potential = diff.MembPot(Model)
コード例 #2
0
	def __init__(self,Model):

		self.input = Model.input
		self.output = Model.output
		self.input_test = Model.input_test
		self.output_test = Model.output_test

		self.gradient_ker = diff.gradient_ker(Model) 
		self.gradient_NL = diff.gradient_NL(Model)

		self.hessian_ker = diff.hessian_ker(Model)
		self.hessian_NL = diff.hessian_NL(Model)

		self.paramKer = Model.paramKer
		self.paramNL = Model.paramNL

		self.lls = Model.lls
		self.Mds = Model.Mds
		self.switches = Model.switches
		#self.neustd = Model.neustd

		self.likelihood = diff.likelihood(Model)

		self.sub_membrane_potential = diff.subMembPot(Model,'training')
		self.membrane_potential = diff.MembPot(Model)
コード例 #3
0
    def update(self):

        self.sub_membrane_potential = diff.subMembPot(self, 'training')
        self.membrane_potential = diff.MembPot(self)

        self.likelihood = diff.likelihood(self)

        self.gradient_ker = diff.gradient_ker(self)
        self.hessian_ker = diff.hessian_ker(self)

        self.gradient_NL = diff.gradient_NL(self)
        self.hessian_NL = diff.hessian_NL(self)
コード例 #4
0
	def update(self):

		self.sub_membrane_potential = diff.subMembPot(self,'training')
		self.membrane_potential = diff.MembPot(self)

		self.likelihood = diff.likelihood(self)
		
		self.gradient_ker = diff.gradient_ker(self)
		self.hessian_ker = diff.hessian_ker(self)

		self.gradient_NL = diff.gradient_NL(self)
		self.hessian_NL = diff.hessian_NL(self)
コード例 #5
0
ファイル: optim.py プロジェクト: flinz/Single-Neuron-Models
	def update(self):

		self.membrane_potential = diff.MembPot(self)

		Np = int(np.size(self.paramNL)*0.5)
		self.NL = np.dot(self.paramNL[:Np],self.basisNL)

		self.likelihood = diff.likelihood(self)
		
		self.gradient_ker = diff.gradient_ker(self)
		self.hessian_ker = diff.hessian_ker(self)

		self.gradient_NL = diff.gradient_NL(self)
		self.hessian_NL = diff.hessian_NL(self)
コード例 #6
0
ファイル: optim.py プロジェクト: flinz/Single-Neuron-Models
	def __init__(self,Model):

		self.input = Model.input
		self.output = Model.output

		self.gradient_ker = diff.gradient_ker(Model) 
		self.gradient_NL = diff.gradient_NL(Model)

		self.hessian_ker = diff.hessian_ker(Model)
		self.hessian_NL = diff.hessian_NL(Model)

		self.paramKer = Model.paramKer
		self.paramNL = Model.paramNL

		self.likelihood = diff.likelihood(Model)

		Np = int(np.size(Model.paramNL)*0.5) #number of basis functions per NL.