braincog.base.brainarea package

Submodules

braincog.base.brainarea.BrainArea module

class braincog.base.brainarea.BrainArea.BrainArea

基类：Module, ABC

脑区基类

abstract forward(x): 计算前向传播过程 :return:x是脉冲

reset(): 计算前向传播过程 :return:x是脉冲

training: bool

class braincog.base.brainarea.BrainArea.Feedback(w1, w2, w3)

基类：BrainArea

反馈网络

forward(x): 计算前向传播过程 :return:x是脉冲

reset(): 计算前向传播过程 :return:x是脉冲

training: bool

class braincog.base.brainarea.BrainArea.SelfConnectionArea(w1, w2)

基类：BrainArea

反馈网络

forward(x): 计算前向传播过程 :return:x是脉冲

reset(): 计算前向传播过程 :return:x是脉冲

training: bool

class braincog.base.brainarea.BrainArea.ThreePointForward(w1, w2, w3)

基类：BrainArea

三点前馈脑区

forward(x): 计算前向传播过程 :return:x是脉冲

training: bool

class braincog.base.brainarea.BrainArea.TwoInOneOut(w1, w2)

基类：BrainArea

反馈网络

forward(x1, x2): 计算前向传播过程 :return:x是脉冲

training: bool

braincog.base.brainarea.IPL module

class braincog.base.brainarea.IPL.IPLNet(connection)

基类：Module

inferior parietal lobule (IPL)

UpdateWeight(i, dw): Update the weight :param i: index of the connection to update :param dw: weight update :return: None

forward(input1, input2): Calculate the output of IPLv and the weight update between IPLm and IPLv :param input1: input from vPMC :param input2: input from STS :return: output of IPLv, weight update between IPLm and IPLv

getweight(): Get the connection and weight in IPL :return: connection

reset(): reset the network :return: None

training: bool

braincog.base.brainarea.Insula module

class braincog.base.brainarea.Insula.InsulaNet(connection)

基类：Module

Insula

UpdateWeight(i, dw): Update the weight :param i: index of the connection to update :param dw: weight update :return: None

forward(input1, input2): Calculate the output of Insula :param input1: input from IPLv :param input2: input from STS :return: output of Insula, weight update (unused)

getweight(): Get the connection and weight in Insula :return: connection

reset(): reset the network :return: None

training: bool

braincog.base.brainarea.PFC module

class braincog.base.brainarea.PFC.PFC

基类：object

forward(x): :return:x

reset(): :return:x

class braincog.base.brainarea.PFC.dlPFC(step, encode_type, in_features: int, out_features: int, bias, *args, **kwargs)

基类：BaseModule, PFC

SNNLinear

training: bool

braincog.base.brainarea.basalganglia module

class braincog.base.brainarea.basalganglia.basalganglia(ns, na, we, wi, node_type)

基类：Module

Basal Ganglia

UpdateWeight(i, dw): 更新基底节内第i组连接的权重根据传入的dw值 :param i: 要更新的连接的索引 :param dw: 更新的量 :return: None

forward(input): 计算由当前输入基底节网络的输出 :param input: 输入电流 :return: 输出脉冲

getmask(): 获取基底节网络的连接（仅连接矩阵） :return: 基底节网络的连接矩阵

getweight(): 获取基底节网络的连接(包括权值等) :return: 基底节网络的连接

reset(): reset神经元或学习法则的中间量 :return: None

training: bool

braincog.base.brainarea.dACC module

Module contents

class braincog.base.brainarea.BrainArea

基类：Module, ABC

脑区基类

abstract forward(x): 计算前向传播过程 :return:x是脉冲

reset(): 计算前向传播过程 :return:x是脉冲

training: bool

class braincog.base.brainarea.Feedback(w1, w2, w3)

基类：BrainArea

反馈网络

forward(x): 计算前向传播过程 :return:x是脉冲

reset(): 计算前向传播过程 :return:x是脉冲

training: bool

class braincog.base.brainarea.IPLNet(connection)

基类：Module

inferior parietal lobule (IPL)

UpdateWeight(i, dw): Update the weight :param i: index of the connection to update :param dw: weight update :return: None

forward(input1, input2): Calculate the output of IPLv and the weight update between IPLm and IPLv :param input1: input from vPMC :param input2: input from STS :return: output of IPLv, weight update between IPLm and IPLv

getweight(): Get the connection and weight in IPL :return: connection

reset(): reset the network :return: None

training: bool

class braincog.base.brainarea.InsulaNet(connection)

基类：Module

Insula

UpdateWeight(i, dw): Update the weight :param i: index of the connection to update :param dw: weight update :return: None

forward(input1, input2): Calculate the output of Insula :param input1: input from IPLv :param input2: input from STS :return: output of Insula, weight update (unused)

getweight(): Get the connection and weight in Insula :return: connection

reset(): reset the network :return: None

training: bool

class braincog.base.brainarea.PFC

基类：object

forward(x): :return:x

reset(): :return:x

class braincog.base.brainarea.SelfConnectionArea(w1, w2)

基类：BrainArea

反馈网络

forward(x): 计算前向传播过程 :return:x是脉冲

reset(): 计算前向传播过程 :return:x是脉冲

training: bool

class braincog.base.brainarea.ThreePointForward(w1, w2, w3)

基类：BrainArea

三点前馈脑区

forward(x): 计算前向传播过程 :return:x是脉冲

training: bool

class braincog.base.brainarea.TwoInOneOut(w1, w2)

基类：BrainArea

反馈网络

forward(x1, x2): 计算前向传播过程 :return:x是脉冲

training: bool

class braincog.base.brainarea.basalganglia(ns, na, we, wi, node_type)

基类：Module

Basal Ganglia

UpdateWeight(i, dw): 更新基底节内第i组连接的权重根据传入的dw值 :param i: 要更新的连接的索引 :param dw: 更新的量 :return: None

forward(input): 计算由当前输入基底节网络的输出 :param input: 输入电流 :return: 输出脉冲

getmask(): 获取基底节网络的连接（仅连接矩阵） :return: 基底节网络的连接矩阵

getweight(): 获取基底节网络的连接(包括权值等) :return: 基底节网络的连接

reset(): reset神经元或学习法则的中间量 :return: None

training: bool

class braincog.base.brainarea.dlPFC(step, encode_type, in_features: int, out_features: int, bias, *args, **kwargs)

基类：BaseModule, PFC

SNNLinear

training: bool