NAME

PROTOTYPE

ARGUMENTS

int iMaxFeatures

maximum number of features

int iFeatureDim

dimensionality of feature vectores

int iLnum

number of layers

int iThreads

number of threads to use for iteration

unitptr uHost

host unit

RETURN VALUE:

DESCRIPTION:

NEO CREATION:

Maximum number of features:

In order to compute the interaction matrix and the dynamics, all feature vectors are stored within the unit. This parameter describes the maximal number of features the unit can store.

Dimensionality of features:

The dimensionality iDim of the feature vectors to be stored.

Number of layers:

The number of layers L the CLM uses.

Number of threads:

The number of threads which are used to simulate the CLM dynamics. Only useful for machines with more than 1 processor.

The parameter window contains the following items:

IA library:

The name of the shared object (e.g. "clm_ia.so") containing the interaction functions.

function:

The name of the actual interaction function (e.g. "proximity"). The interaction function has the following prototype float (.ia_function) (float *pfF1, float *pfF2, float *pfParams, int iDim), where pfF1 and pfF2 point to the two interacting feature vectors, *pfParams points to a parameter array which reflects the 64 dimensional input of the subunit ia_matrix, and iDim is the dimensionality of the feature vectors. This function is called by the subunit ia_matrix and is used to compute the interaction matrix.

Inhibition:

The global inhibition parameter which is subtracted from all interaction values computed by ia_function().

conn. thresh:

The connection threshold. Connections are only established between features which exceed this threshold.

Trash layer:

With this button "on", layer 0 becomes a so-called trash-layer. In this layer, the features do not interact with eachother, their activity is only supported by their self coupling constant.

self coupling:

The self coupling constant.

J1:

A button which controls the setting of the J1 parameter. Possible values are: "global", "max eigen" and "local". If "local" is choosen, then for each feature position r a local J1 value is computed (the sum over all positive interactions with all other features s). Otherwise, a global value is used during the dynamics.

factor:

The estimation for J1 is multiplied by this value.

Annealing:

The button allows to choose between three annealing schemas: "no" for no annealing, "exp" for an exponential annealing from the specified start and end temperature in the given number of iterations, "exp est" for an exponential annealing where the temperatures are weighted with the maximum eigenvalue of the interaction matrix.

temp. from:

The starting temperature t0 for the annealing mode

to:

The final temperature t1 for the annealing mode

iterations:

The number of sweeps in which the temperature falls from t0 to t1.

Update prob:

The probability with which a neuron with zero activity gets updated

Iterations:

If positive the number of sweeps, if negative, the number of single neuron updates

Auto break:

If set to "yes", after each iteration update steps, it is checked, whether the energy of the system changed by a certain amount. If yes, the dynamics will be stopped, otherwise the system iterates iteration steps more.

min delta x:

If the sum over the activation difference of all neurons exceeds this threshold the dynamics will be stopped (c.f. with Auto break).

Initialize activities:

By pressing this button, all activities will be resetted.

NEO-INTERFACE:

Input field 0:

(string, string) Name of shared object for interaction functions, Name of actual interaction function.

Input field 1 (64 floats):

Pin 0:

global Inhibition

Pin 1:

connection threshold

Pin 2:

use trash layer (0,1)

Pin 3:

self coupling term

Pin 4:

J1 mode (0,1,2)

Pin 5:

J1 factor

Pin 6:

Annealing mode (0,1,2)

Pin 7:

t0

Pin 8:

unused

Pin 9:

t1

Pin 10:

iterations for annealing

Pin 11:

Updateprobability for zero activities

Pin 12:

iteration for dynamics

Pin 13:

Auto break (0,1)

Pin 14:

Minimum delta activity for auto break

EXECUTION:

INTERFACE AND DESCRIPTION OF NAMED SUBUNITS:

init_inp:

no Input/Output

add_inp:

Input field 0:

(packed float iDim) Feature vector

nb_inp:

Output field 0:

(float 1) Number of currently stored feature vectors

for_inps:

Output field 0:

(packed float iDim) Feature vector data

Output field 1:

(float 1) current feature number (starting with 0)

ia_matrix:

Input field 0:

(packed float 64) Parameter vector

dynamix:

no Input/Output

layer_stats:

Output field 0:

(packed float L) sum over all activities per layer

Output field 1:

(packed float L) average activity per layer

Output field 2:

(packed float L) variance of activities per layer

Output field 3:

(float 6) currently unused

ia_stats:

Output field 0:

(float 1) average connectivity

ralpha_act:

Input field 0:

(float 2) feature index r, layer alpha

Output field 0:

(float 1) activity x(r,alpha)

Output field 1:

(packed float iDim) feature vector f_r

r_act:

Input field 0:

(float 1) feature index r

Output field 0:

(packed float L) array of activities in column r

Output field 1:

(packed float iDim) feature vector f_r

for_rs_act:

Output field 0:

(packed float L) array of activities in column r

Output field 1:

(packed float iDim) feature vector f_r

Output field 2:

(float 1) column position r

for_rs_maxact:

Output field 0:

(float 2) layer index alpha with maximum activity, the corresponding activity itself

Output field 1:

(packed float iDim) feature vector f_r

Output field 2:

(float 1) column position r

rs_ia:

Input field 0:

(float 2) two feature position r and s

Output field 0:

(float 1) the interaction between the given features

for_ss_ia:

Input field 0:

(float 1) feature position r

Output field 0:

(float 1) interaction between features at position r and s

Output field 1:

(float 1) feature position s

Output field 2:

(packed float iDim) feature vector f_s

init_act:

no Input/Output

set_T:

Input field 0:

(float 1) current temperature t for annealing

FILE