#!/usr/bin/env python
# -*- coding: utf-8 -*-
# -----------------------------------------------------------------------------
# Copyright INRIA
# Contributors: Wahiba Taouali (Wahiba.Taouali@inria.fr)
#               Nicolas P. Rougier (Nicolas.Rougier@inria.fr)
#
# This software is governed by the CeCILL license under French law and abiding
# by the rules of distribution of free software. You can use, modify and/ or
# redistribute the software under the terms of the CeCILL license as circulated
# by CEA, CNRS and INRIA at the following URL
# http://www.cecill.info/index.en.html.
#
# As a counterpart to the access to the source code and rights to copy, modify
# and redistribute granted by the license, users are provided only with a
# limited warranty and the software's author, the holder of the economic
# rights, and the successive licensors have only limited liability.
#
# In this respect, the user's attention is drawn to the risks associated with
# loading, using, modifying and/or developing or reproducing the software by
# the user in light of its specific status of free software, that may mean that
# it is complicated to manipulate, and that also therefore means that it is
# reserved for developers and experienced professionals having in-depth
# computer knowledge. Users are therefore encouraged to load and test the
# software's suitability as regards their requirements in conditions enabling
# the security of their systems and/or data to be ensured and, more generally,
# to use and operate it in the same conditions as regards security.
#
# The fact that you are presently reading this means that you have had
# knowledge of the CeCILL license and that you accept its terms.
# -----------------------------------------------------------------------------
import numpy as np

second       = 1.0
millisecond  = 0.001
dt           = 5*millisecond
duration     = 10*second
noise        = 0.05

retina_shape     = np.array([4096,2048]).astype(float)
projection_shape = np.array([512,512]).astype(float)
n = 128
colliculus_shape = np.array([n,n]).astype(float)

# Default stimulus
stimulus_size      = 2.0 # in degrees
stimulus_intensity = 0.5

# DNF parameters (linear)
sigma_e  = 0.10
A_e      = 1.30
sigma_i  = 1.00
A_i      = 0.65
alpha    = 12.5
tau      = 10*millisecond
scale    = 40.0*40.0/(n*n)

#!/usr/bin/env python
# -*- coding: utf-8 -*-
# -----------------------------------------------------------------------------
# Copyright INRIA
# Contributors: Wahiba Taouali (Wahiba.Taouali@inria.fr)
#               Nicolas P. Rougier (Nicolas.Rougier@inria.fr)
#
# This software is governed by the CeCILL license under French law and abiding
# by the rules of distribution of free software. You can use, modify and/ or
# redistribute the software under the terms of the CeCILL license as circulated
# by CEA, CNRS and INRIA at the following URL
# http://www.cecill.info/index.en.html.
#
# As a counterpart to the access to the source code and rights to copy, modify
# and redistribute granted by the license, users are provided only with a
# limited warranty and the software's author, the holder of the economic
# rights, and the successive licensors have only limited liability.
#
# In this respect, the user's attention is drawn to the risks associated with
# loading, using, modifying and/or developing or reproducing the software by
# the user in light of its specific status of free software, that may mean that
# it is complicated to manipulate, and that also therefore means that it is
# reserved for developers and experienced professionals having in-depth
# computer knowledge. Users are therefore encouraged to load and test the
# software's suitability as regards their requirements in conditions enabling
# the security of their systems and/or data to be ensured and, more generally,
# to use and operate it in the same conditions as regards security.
#
# The fact that you are presently reading this means that you have had
# knowledge of the CeCILL license and that you accept its terms.
# -----------------------------------------------------------------------------
import numpy as np

second       = 1.0
millisecond  = 0.001
dt           = 5*millisecond
duration     = 10*second
noise        = 0.05

retina_shape     = np.array([4096,2048]).astype(float)
projection_shape = np.array([512,512]).astype(float)
n = 128
colliculus_shape = np.array([n,n]).astype(float)

# Default stimulus
stimulus_size      = 1.5 # in degrees
stimulus_intensity = 1.5

# DNF parameters (linear)
sigma_e  = 0.10
A_e      = 1.30
sigma_i  = 1.00
A_i      = 0.65
alpha    = 12.5
tau      = 10*millisecond
scale    = 40.0*40.0/(n*n)

Fix default parameters