class Augmentation

Provide a Synapse with additional parameters controlling facilitation.

Public Fields

int lastUpdate

The last TimeStep this Augmentation object updated values (via spike arrival or reporting)

double augmentation

Level of augentation provided to the parent synapse

double augmentation_Tau

Decay rate of the augmentation as time progresses

double Calcium

Level of Calcium Concentration in the Synapse

double Calcium_Tau

Time Constant determining rate of decrease of Calcium each timestep

double MaxSA

Maximum Synaptic Augmentation that can occur no matter how much Calcium exists

double Calcium_TauDecay

When Calcium concentrations are high, a Decay > 0 will cause the Calsium_Tau to become shorter, so that CA will drop faster

double Calcium_Increment

Amount to increment Calcium whenever a spike wave occurs on the Synapse

double Alpha

Scaler value modifying Calcium increment (necessary?)

deque<int> PendingCalcium

Time at which a spike arrived, so that Calcium can be incremented after a delay

deque<double> CalciumForAugmentation

Calcium concentrations to be used in future Augmentation updates

deque<int> PendingAugmentationFromCalcium

Time when the calcium concentrations need to be used to update Augmentation

static const int CalciumDelay

Number of timesteps to delay the increment of calcium caused by a spike

int augmentationDelay

Number of timesteps to delay the use of Calcium to update Augmentation

Public Methods

Augmentation()

Default Constructor creates augmentation object.

Augmentation( T_SYNAUGMENTATION* iAugmentation, Random* RN )

Constructor creates a synaptic augmentation object from Input file to be stored inside a synapse.

double getAugmentation( int TimeStep, int deltaT )

Compute the synaptic augmentation for the timestep.

void update( int TimeStep )

int Save( FILE* out, int TimeStep )

Write Augmentation object to disk.

void Load( FILE* in, char* nothing )

Read Augmentation object from disk.

Documentation

Provide a Synapse with additional parameters controlling facilitation. Specifically intended to help represent the pre-frontal cortex area, synaptic augmentation defines Calsium properties for a synapse. These will affect facilitation of a synapse by making it able to recover faster, and spike higher than normal.

int lastUpdate

The last TimeStep this Augmentation object updated values (via spike arrival or reporting)

double augmentation

Level of augentation provided to the parent synapse

double augmentation_Tau

Decay rate of the augmentation as time progresses

double Calcium

Level of Calcium Concentration in the Synapse

double Calcium_Tau

Time Constant determining rate of decrease of Calcium each timestep

double MaxSA

Maximum Synaptic Augmentation that can occur no matter how much Calcium exists

double Calcium_TauDecay

When Calcium concentrations are high, a Decay > 0 will cause the Calsium_Tau to become shorter, so that CA will drop faster

double Calcium_Increment

Amount to increment Calcium whenever a spike wave occurs on the Synapse

double Alpha

Scaler value modifying Calcium increment (necessary?)

deque<int> PendingCalcium

Time at which a spike arrived, so that Calcium can be incremented after a delay

deque<double> CalciumForAugmentation

Calcium concentrations to be used in future Augmentation updates

deque<int> PendingAugmentationFromCalcium

Time when the calcium concentrations need to be used to update Augmentation

static const int CalciumDelay

Number of timesteps to delay the increment of calcium caused by a spike

int augmentationDelay

Number of timesteps to delay the use of Calcium to update Augmentation

Augmentation()

Default Constructor creates augmentation object. This should be used during a Brain load, so that the structure is created, and then the member data can be filled by a call to the load function

Augmentation( T_SYNAUGMENTATION* iAugmentation, Random* RN )

Constructor creates a synaptic augmentation object from Input file to be stored inside a synapse.

Parameters:

iAugmentation - Defining input object with parameters used to create this Augmentation object
RN - Random Number generator so that any mean/standard deviation pairs can be combined

double getAugmentation( int TimeStep, int deltaT )

Compute the synaptic augmentation for the timestep.

Parameters:

- TimeStep The current TimeStep of the simulation
deltaT - The number of timesteps that have elapsed since the previous spike

Returns:

The value of Synaptic Augmentation

void update( int TimeStep )

int Save( FILE* out, int TimeStep )

Write Augmentation object to disk. Information related to timing will be written out based on time differences. For example, lastUpdate keeps track of the TimeStep when the Augmentation object wa last updated. After a load, that specific timestep would be meaningless. By storing the difference between lastUpdate and the current Timestep, that information could be used after a load.

Parameters:

out - Destination File
- TimeStep current TimeStep of simulation

Returns:

Number of bytes written

void Load( FILE* in, char* nothing )

Read Augmentation object from disk. Timing information will need to be treated as negative. For example, if the lastUpdate of the augmentation object had been at time 1234 in the last simulation, and saved at time 1434, a time of 200 was saved. After loading, TimeStep restarts at zero (0) instead of 1434, so the time of lastUpdate must be -200.

Parameters:

in - Source File
nothing - Character pointer to serve as place holder (may not be used)

This class has no child classes.

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