/usr/share/pyshared/brian/connections/otherconnections.py is in python-brian 1.4.1-2.
This file is owned by root:root, with mode 0o644.
The actual contents of the file can be viewed below.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 | from base import *
from connection import *
__all__ = [
'IdentityConnection',
'MultiConnection',
]
class IdentityConnection(Connection):
'''
A :class:`Connection` between two groups of the same size, where neuron ``i`` in the
source group is connected to neuron ``i`` in the target group.
Initialised with arguments:
``source``, ``target``
The source and target :class:`NeuronGroup` objects.
``state``
The target state variable.
``weight``
The weight of the synapse, must be a scalar.
``delay``
Only homogeneous delays are allowed.
The benefit of this class is that it has no storage requirements and is optimised for
this special case.
'''
@check_units(delay=second)
def __init__(self, source, target, state=0, weight=1, delay=0 * msecond):
if (len(source) != len(target)):
raise AttributeError, 'The connected (sub)groups must have the same size.'
self.source = source # pointer to source group
self.target = target # pointer to target group
if type(state) == types.StringType: # named state variable
self.nstate = target.get_var_index(state)
else:
self.nstate = state # target state index
self.W = float(weight) # weight
source.set_max_delay(delay)
self.delay = int(delay / source.clock.dt) # Synaptic delay in time bins
def propagate(self, spikes):
'''
Propagates the spikes to the target.
'''
self.target._S[self.nstate, spikes] += self.W
def compress(self):
pass
class MultiConnection(Connection):
'''
A hub for multiple connections with a common source group.
'''
def __init__(self, source, connections=[]):
self.source = source
self.connections = connections
self.iscompressed = False
self.delay = connections[0].delay
def propagate(self, spikes):
'''
Propagates the spikes to the targets.
'''
for C in self.connections:
C.propagate(spikes)
def compress(self):
if not self.iscompressed:
for C in self.connections:
C.compress()
self.iscompressed = True
def reinit(self):
for C in self.connections:
# this does nothing for normal connections but is important for
# SpikeMonitors
C.reinit()
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