'''
mitral-granule reciprocal synapse
patterned after mgrs.hoc of the bulb3test model but allow any number of
secondary dendrite processes (indexed by mitral.secden[i]). Ie a
connection is defined (in python) by the 6 tuple (mitral_gid,
secden_index, x, granule_gid, priden_index, x). Connection algorithms
allow more than one mgrs with the same mitral and granule.
Therefore, when the function map from (mgid, ggid) to synapse_gid is used,
it may be necessary to do futher disambiguation.
'''
from common import *
import split
nmitral = params.Nmitral
ngranule = granules.ngranule
gid_mgrs_begin = params.gid_granule_begin + ngranule
# it's used to generate excitatory sinapses pair
# and inhibitory odd
if gid_mgrs_begin % 2 == 0:
gid_mgrs_begin += 1
''' 20 slot pairs allowed for multiple MGRS with same mgid,ggid. '''
slot2 = 2 * 5
def mgrs_gid(gid_source, gid_target, slot=0):
''' Global index for the ThreshDetect object of the reciprocal synapse. '''
# note: MGRS below uses the explicit assumption that gd_gid = md_gid - 1
if (gid_source < nmitral): #detector on mitral
i = (gid_target*nmitral + gid_source + 1)*slot2 + 2*slot + 1 + gid_mgrs_begin
else: #detector on granule
i = (gid_source*nmitral + gid_target + 1)*slot2 + 2*slot + gid_mgrs_begin
return i
def gid2mg(syngid):
''' return (mgid, ggid, source_is_mitral, slot) '''
sgid = syngid
sgid -= gid_mgrs_begin
m2g = sgid%2 # 1 if source on mitral
i = sgid - m2g
slot = (i%slot2)/2
i /= slot2
i -= 1
mgid = i%nmitral
ggid = i/nmitral # - nmitral
if m2g == 1:
if syngid != mgrs_gid(mgid, ggid, slot):
print syngid, mgrs_gid(mgid, ggid, slot), mgid, ggid, slot, m2g
assert(syngid == mgrs_gid(mgid, ggid, slot))
else:
assert(syngid == mgrs_gid(ggid, mgid, slot))
return (mgid, ggid, m2g==1, slot)
class MGRS:
'''From a mitral and granule synapse location, and consistent with what
exists on this process, construct the 5 parts of the reciprocal synapse.
If the granule location exists, then a spine, ThreshDetect, and
AmpaNmda synapse will be created. If the mitral location exists, then
a ThreshDetect and FastInhib synapse will be created. The appropriate gid
for the ThreshDetect instances will be registered. And the appropriate
NetCons will connect to the synapses.
'''
'''
To allow use of the FastInhibSTDP synapse on the Mitral side of the
MGRS, there is an additional part which is a negative weight netcon
connecting from the mitral side ThreshDetect to the FastInhibSTDP
instance which provides the post synaptic spike timing information.
There are major administrative differences due to the weight vector
differences between FastInhib and FastInhibSTDP.
'''
def __init__(self, mgid, isec, xm, ggid, ipri, xg, slot):
self.mgid = mgid
self.ggid = ggid
self.slot = slot
self.xm = xm
self.xg = xg
self.isec = isec
self.ipri = ipri
self.msecden = split.msecden(mgid, isec)
self.gpriden = split.gpriden(ggid, ipri)
self.md_gid = mgrs_gid(mgid, ggid, slot)
self.gd_gid = mgrs_gid(ggid, mgid, slot)
self.md = None #ThreshDetect on mitral
self.gd = None #ThreshDetect on granule
self.fi = None #FastInhib on mitral
self.ampanmda = None #AmpaNmda on granule
self.gd2fi = None #NetCon to fi
self.md2ampanmda = None #NetCon to ampanmda
if pc.gid_exists(self.md_gid) > 0. or pc.gid_exists(self.gd_gid) > 0.:
print "md_gid=%d and/or gd_gid already registered" % (self.md_gid, self.gd_gid)
raise RuntimeError
if self.msecden:
self.md = h.ThreshDetect(self.msecden(xm))
self.fi = h.FastInhib(self.msecden(xm))
self.fi.gmax = params.inh_gmax
self.fi.tau1 = params.fi_tau1
self.fi.tau2 = params.fi_tau2
pc.set_gid2node(self.md_gid, pc.id())
pc.cell(self.md_gid, h.NetCon(self.md, None), 1)
if self.gpriden:
self.spine = h.GranuleSpine()
self.spine.neck.connect(self.gpriden(xg))
self.gd = h.ThreshDetect(self.spine.head(0.5))
self.ampanmda = h.AmpaNmda(self.spine.head(0.5))
self.ampanmda.gmax = params.exc_gmax
pc.set_gid2node(self.gd_gid, pc.id())
pc.cell(self.gd_gid, h.NetCon(self.gd, None), 1)
# Cannot be done above because output ports must exist prior to using
# an output gid as an input port on the same process.
if self.fi:
self.gd2fi = pc.gid_connect(self.gd_gid, self.fi)
self.gd2fi.weight[0] = 1 # normalized
self.gd2fi.weight[1] = 0
self.gd2fi.delay = 1
if self.ampanmda:
self.md2ampanmda = pc.gid_connect(self.md_gid, self.ampanmda)
self.md2ampanmda.weight[0] = 1 #normalized
self.md2ampanmda.weight[1] = 0
self.md2ampanmda.delay = 1
def pr(self):
print "%d %d <-> %d %d"%(self.mgid, self.md_gid, self.gd_gid, self.ggid)
if self.msecden:
print self.msecden.name(), self.md.hname(), self.fi.hname(), self.gd2fi.hname(), " ", int(self.gd2fi.srcgid())
if self.gpriden:
print self.gpriden.name(), self.gd.hname(), self.ampanmda.hname(), self.md2ampanmda.hname(), " ", int(self.md2ampanmda.srcgid())
def mg_dic_str(self):
s = ''
if self.gd2fi:
s += '%d %d %d %g %d\n' % (self.gd_gid, self.ggid, self.ipri, self.xg, self.slot)
if self.md2ampanmda:
s += '%d %d %d %g %d\n' % (self.md_gid, self.mgid, self.isec, self.xm, self.slot)
return s
def wstr(self):
''' return string in proper wsfile format '''
s = ''
if self.gd2fi:
s += '%d %g %g\n'%(self.gd_gid, self.sm(), self.wm())
if self.md2ampanmda:
s += '%d %g %g\n'%(self.md_gid, self.sg(), self.wg())
return s
def sm(self):
return self.gd2fi.weight[1]
def sg(self):
return self.md2ampanmda.weight[1]
def wm(self):
return self.gd2fi.weight[2] * self.fi.gmax
def wg(self):
return self.md2ampanmda.weight[2] * self.ampanmda.gmax
def mk_mgrs(mgid, isec, xm, ggid, ipri, xg, slot):
''' Return MGRS instance if at least on half exists, otherwise None.'''
if split.msecden(mgid, isec) or split.gpriden(ggid, ipri):
return MGRS(mgid, isec, xm, ggid, ipri, xg, slot)
return None
def multiple_cnt():
cnt = 0;
for mgrs in getmodel().mgrss.values():
if mgrs.slot > 0:
if mgrs.gd: cnt += 1
if mgrs.md: cnt += 1
return cnt
if __name__ == "__main__":
import mkmitral, split
h.load_file("granule.hoc")
m = mkmitral.mkmitral(1)
pieces = split.secden_indices_connected_to_soma(m)
pieces.append(-1)
split.splitmitral(1, m, pieces)
pc.set_gid2node(1, pc.id())
pc.cell(1, h.NetCon(m.soma(.5)._ref_v, None, sec=m.soma))
g = h.Granule()
pc.set_gid2node(10000, pc.id())
pc.cell(10000, h.NetCon(g.soma(.5)._ref_v, None, sec=g.soma))
mgrs = MGRS(1, 0, .8, 10000, 0, .1)
mgrs.pr()
mgrs2 = MGRS(1, 0, .8, 10000, 0, .1)