def _convergent_connect(self, presynaptic_indices, postsynaptic_index,
**connection_parameters):
"""
Connect a neuron to one or more other neurons with a static connection.
`presynaptic_cells` -- a 1D array of pre-synaptic cell IDs
`postsynaptic_cell` -- the ID of the post-synaptic cell.
`connection_parameters` -- each parameter should be either a
1D array of the same length as `sources`, or
a single value.
"""
#logger.debug("Convergent connect. Weights=%s" % connection_parameters['weight'])
postsynaptic_cell = self.post[postsynaptic_index]
if not isinstance(postsynaptic_cell, int) or postsynaptic_cell > simulator.state.gid_counter or postsynaptic_cell < 0:
errmsg = "Invalid post-synaptic cell: %s (gid_counter=%d)" % (postsynaptic_cell, simulator.state.gid_counter)
raise errors.ConnectionError(errmsg)
for name, value in connection_parameters.items():
if isinstance(value, (float, int)):
connection_parameters[name] = repeat(value)
assert postsynaptic_cell.local
for pre_idx, values in core.ezip(presynaptic_indices, *connection_parameters.values()):
parameters = dict(zip(connection_parameters.keys(), values))
#logger.debug("Connecting neuron #%s to neuron #%s with synapse type %s, receptor type %s, parameters %s", pre_idx, postsynaptic_index, self.synapse_type, self.receptor_type, parameters)
self._connections[postsynaptic_index][pre_idx].append(
self.synapse_type.connection_type(self, pre_idx, postsynaptic_index, **parameters))
def _convergent_connect(self, presynaptic_indices, postsynaptic_index,
**connection_parameters):
"""
Connect a neuron to one or more other neurons with a static connection.
`presynaptic_cells` -- a 1D array of pre-synaptic cell IDs
`postsynaptic_cell` -- the ID of the post-synaptic cell.
`connection_parameters` -- each parameter should be either a
1D array of the same length as `sources`, or
a single value.
"""
#logger.debug("Convergent connect. Weights=%s" % connection_parameters['weight'])
postsynaptic_cell = self.post[postsynaptic_index]
if not isinstance(
postsynaptic_cell, int
) or postsynaptic_cell > simulator.state.gid_counter or postsynaptic_cell < 0:
errmsg = "Invalid post-synaptic cell: %s (gid_counter=%d)" % (
postsynaptic_cell, simulator.state.gid_counter)
raise errors.ConnectionError(errmsg)
for name, value in connection_parameters.items():
if isinstance(value, (float, int)):
connection_parameters[name] = repeat(value)
assert postsynaptic_cell.local
for pre_idx, values in core.ezip(presynaptic_indices,
*connection_parameters.values()):
parameters = dict(zip(connection_parameters.keys(), values))
#logger.debug("Connecting neuron #%s to neuron #%s with synapse type %s, receptor type %s, parameters %s", pre_idx, postsynaptic_index, self.synapse_type, self.receptor_type, parameters)
self._connections[postsynaptic_index][pre_idx].append(
self.synapse_type.connection_type(self, pre_idx,
postsynaptic_index,
**parameters))
def _convergent_connect(self, presynaptic_indices, postsynaptic_index, **connection_parameters):
for name, value in connection_parameters.items():
if isinstance(value, float):
connection_parameters[name] = repeat(value)
for pre_idx, other in ezip(presynaptic_indices, *connection_parameters.values()):
other_attributes = dict(zip(connection_parameters.keys(), other))
self.connections.append(Connection(pre_idx, postsynaptic_index, **other_attributes))
def _convergent_connect(self, presynaptic_indices, postsynaptic_index,
**connection_parameters):
for name, value in connection_parameters.items():
if isinstance(value, float):
connection_parameters[name] = repeat(value)
for pre_idx, other in ezip(presynaptic_indices,
*connection_parameters.values()):
other_attributes = dict(zip(connection_parameters.keys(), other))
self.connections.append(
Connection(pre_idx, postsynaptic_index, **other_attributes))
