From 544917ea623f327e2a76e5913174875fd8d3d0fc Mon Sep 17 00:00:00 2001 From: Rosana Matuk Date: Sat, 20 Oct 2018 20:37:48 -0300 Subject: [PATCH] Update lissom.rst --- docs/notes/lissom.rst | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/docs/notes/lissom.rst b/docs/notes/lissom.rst index c5f6305..0061d44 100644 --- a/docs/notes/lissom.rst +++ b/docs/notes/lissom.rst @@ -290,7 +290,7 @@ More precisely, the response :math:`\xi_{ab}` of ON or OFF-center cell \label{fig:lgnactivation} \xi_{ab} = \sigma(\gamma_L \sum_{xy}\chi_{xy}L_{xy,ab}) - where :math:`X_{xy}` is the activation of cell :math:`(x, y)` in the +where :math:`X_{xy}` is the activation of cell :math:`(x, y)` in the receptive field of :math:`(a, b)`, :math:`L_{xy,ab}` is the afferent weight from :math:`(x, y)` to :math:`(a, b)`, and :math:`\gamma_L` is a constant scaling factor. The squashing function :math:`\sigma(\cdot)` () @@ -365,7 +365,7 @@ sum of activations in its receptive fields on the LGN: \label{fig:corticalactivation} s_{ij} = \gamma_A\left(\sum_{ab \in \,ON} \xi_{ab}A_{ab,ij} + \sum_{ab \in \,OFF} \xi_{ab}A_{ab,ij}\right) - where :math:`\xi_{ab}` is the activation of neuron (a, b) in the +where :math:`\xi_{ab}` is the activation of neuron (a, b) in the receptive field of neuron (i, j) in the ON or OFF channels, :math:`A_{ab,ij}` is the corresponding afferent weight, and :math:`\gamma_A` is a constant scaling factor. The afferent stimulation @@ -425,7 +425,7 @@ according to the same biologically motivated mechanism: the Hebb rule \label{fig:hebbianrule} w'_{pq,ij} = \frac{w_{pq,ij} + \alpha X_{pq}\eta_{ij}}{\sum_{uv}(w_{uv,ij} + \alpha X_{uv}\eta_{ij})} - where :math:`w_{pq,ij}` is the current afferent or lateral connection +where :math:`w_{pq,ij}` is the current afferent or lateral connection weight (either :math:`A`, :math:`E` or :math:`I`) from (p, q) to (i, j), :math:`w'_{pq,ij}` is the new weight to be used until the end of the next settling process, :math:`\alpha` is the learning rate for each type