m

= ( m ₁ m _i m _N) ^T-modifiable synaptic weight vector.

m _i

is the synaptic weight between input neuron i and the output neuron.

M

-the synaptic weight matrix when there is more than one output neuron. [ M _ij] represents the connection between LGN neuron j and cortical neuron i.

m

= ( m ^l, m ^r) when there are inputs from two eyes, m ^{l( r)} represents the weight vector to input neurons from the left (right) eye channel.

d

= ( d ₁ d _N) ^T Is the a vector of input activities to a single cortical neuron. d _i represents the activity of input neuron i.

d ⁱ

, an upper index d ⁱ denotes that this is the i'th vector of input activity. If there are K different input vectors i = 1 K.

d

= ( d ^l, d ^r) when there are inputs from two eyes, d ^{l( r)}) represents the input vector to the left (right) eye channel.

n

the vector of uncorrelated random activity, or noise

c

The activity level of a single cortical neuron.

c

Cortical cell activity vector c = ( c ₁, , c _N) ^T, when there are N cortical neurons.

c ⁱ

is the activity of a cortical neurons given...