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3.1 NEWARCH Function
3.1.2
15
Input Arguments
Input Name
Description
neuron num
Number of neurons in the network: N . Must
be an integer greater than zero. Default is a
random number between 1 and 11.
input num
Number of inputs in the network: M . Must
be an integer than zero. Default is a random
number between 1 and 11.
input type
A vector of size M , each element corresponds
to one of inputs. There are two different
types of inputs: spiking and analog current.
For spiking insert +1 and for analog current
insert −1. Default is spiking for all inputs.
neuron type
A vector of size N , each element corresponds
to one of neurons. There are three different types of neurons: excitatory, inhibitory,
and hybrid (can be both excitatory and inhibitory at the same time). For excitatory
insert +1, for inhibitory insert −1, and for
hybrid insert 0. Default is randomly chosen
excitatory/inhibitory neurons.
input weight
A matrix of size N × M , each element aij
corresponds to synaptic weight of connection
from jth input to ith neuron. Default is a
random matrix drawn from a uniform distribution.
neuron weight
A matrix of size N × N , each element aij
corresponds to synaptic weight of connection
from jth neuron to ith neuron. Default is a
random matrix drawn from a uniform distribution.
input delay
A matrix of size N ×M , each element aij corresponds to transmission delay of connection
from jth input to ith neuron. Note that the
time scale is msec. Default is a zero for all
connections.
neuron delay
A matrix of size N ×N , each element aij corresponds to transmission delay of connection
from jth neuron to ith neuron. Note that the