Description of problem
I’m doing some work with the Tempotron rule.
And I use the Custom events to do this.
But there’re Errors occured.
Minimal code to reproduce problem
# parameters
v_th = 1 # -54 * mV
v_reset = 0 # -65 * mV
tau_m = 350 * ms
N_spike = 2*34*34
N_Tempotron = 10
duration = 350 * ms
t_refractory = 5 * ms
defaultclock.dt = 0.001*ms
lr = 0.001
# eqs
lif_model = '''
dv/dt = (v_reset - v)/tau_m : 1
dtrace/dt = -trace/tau_m : 1
fired_status : boolean
label : 1
'''
T_pre_eq = '''
v += w
trace += 1
'''
T_post_eq = '''
fired_status = True
'''
Tempotron_ftf_eq = '''
w += lr * trace
'''
Tempotron_fw_eq = '''
w -= lr * trace
trace = 0
fired_status = False
'''
# load data
train_index, train_timestamp, test_index, test_timestamp = load_data()
train_label, test_label = load_label()
# input group
input_group = SpikeGeneratorGroup(N_spike, train_index[0],train_timestamp[0]*ms, sorted=True)
# Tempotron Group
Tempotron_group = NeuronGroup(N_Tempotron, model=lif_model,threshold='v > v_th',reset='v=v_reset',
refractory=t_refractory, method='exact',
events={'fail_to_fire': '(not fired_status) and (label == i) and (t%duration==0) ',
'fire_wrongly': 'fired_status and (label != i)'})
Tempotron_group.v = v_reset
Tempotron_group.fired_status = False
# synapse
i2T_synapes = Synapses(input_group, Tempotron_group, model='w : 1', on_pre=T_pre_eq,
on_post={'post': T_post_eq,
'Tempotron_ftf': Tempotron_ftf_eq,
'Tempotron_fw': Tempotron_fw_eq},
on_event={'Tempotron_ftf': 'fail_to_fire',
'Tempotron_fw': 'fire_wrongly'})
i2T_synapes.connect()
i2T_synapes.w = 'rand() * 0.001'
# monitor
T_mon = SpikeMonitor(Tempotron_group)
# run
for item in tqdm(range(len(train_index))):
Tempotron_group.label = train_label[item]
if item == 0:
run(0*ms)
run(duration)
else:
input_group.set_spikes(indices=train_index[item], times=train_timestamp[item]*ms+item*duration, sorted=True)
run(duration)
Tempotron_group.fired_status = False
What you have aready tried
I’ve read the Custom events document, but didn’t found the reason. Is there anything I miss?
Full traceback of error (if relevant)
Traceback (most recent call last):
File “C:\ProgramData\Anaconda3\envs\python38\lib\site-packages\brian2\core\network.py”, line 892, in before_run
obj.before_run(run_namespace)
File “C:\ProgramData\Anaconda3\envs\python38\lib\site-packages\brian2\groups\group.py”, line 1135, in before_run
self.create_code_objects(run_namespace)
File “C:\ProgramData\Anaconda3\envs\python38\lib\site-packages\brian2\groups\group.py”, line 1128, in create_code_objects
code_object = self.create_default_code_object(run_namespace)
File “C:\ProgramData\Anaconda3\envs\python38\lib\site-packages\brian2\groups\group.py”, line 1100, in create_default_code_object
self.update_abstract_code(run_namespace=run_namespace)
File “C:\ProgramData\Anaconda3\envs\python38\lib\site-packages\brian2\groups\neurongroup.py”, line 249, in update_abstract_code
stateupdate_output = StateUpdateMethod.apply_stateupdater(self.group.equations,
File “C:\ProgramData\Anaconda3\envs\python38\lib\site-packages\brian2\utils\caching.py”, line 101, in cached_func
func._cache[cache_key] = func(*args, **kwds)
File “C:\ProgramData\Anaconda3\envs\python38\lib\site-packages\brian2\stateupdaters\base.py”, line 222, in apply_stateupdater
code = stateupdater(equations, variables, method_options)
File “C:\ProgramData\Anaconda3\envs\python38\lib\site-packages\brian2\stateupdaters\exact.py”, line 226, in call
rhs = rhs.subs(_S[row_idx, 0], varname)
File “C:\ProgramData\Anaconda3\envs\python38\lib\site-packages\sympy\core\basic.py”, line 948, in subs
rv = rv._subs(old, new, **kwargs)
File “C:\ProgramData\Anaconda3\envs\python38\lib\site-packages\sympy\core\cache.py”, line 72, in wrapper
retval = cfunc(*args, **kwargs)
File “C:\ProgramData\Anaconda3\envs\python38\lib\site-packages\sympy\core\basic.py”, line 1062, in _subs
rv = fallback(self, old, new)
File “C:\ProgramData\Anaconda3\envs\python38\lib\site-packages\sympy\core\basic.py”, line 1039, in fallback
rv = self.func(*args)
File “C:\ProgramData\Anaconda3\envs\python38\lib\site-packages\sympy\core\cache.py”, line 72, in wrapper
retval = cfunc(*args, **kwargs)
File “C:\ProgramData\Anaconda3\envs\python38\lib\site-packages\sympy\core\operations.py”, line 53, in new
args = list(map(sympify, args))
File “C:\ProgramData\Anaconda3\envs\python38\lib\site-packages\sympy\core\sympify.py”, line 513, in _sympify
return sympify(a, strict=True)
File “C:\ProgramData\Anaconda3\envs\python38\lib\site-packages\sympy\core\sympify.py”, line 434, in sympify
raise SympifyError(a)
sympy.core.sympify.SympifyError: SympifyError: <function trace at 0x0000029538D59430>
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File “C:\ProgramData\Anaconda3\envs\python38\lib\site-packages\brian2\core\network.py”, line 894, in before_run
raise BrianObjectException(“An error occurred when preparing an object.”, obj) from ex
brian2.core.base.BrianObjectException: Error encountered with object named ‘neurongroup_stateupdater’.
Object was created here (most recent call only, full details in debug log):
File ‘C:/Dev/Python/LogicFunction/Application/clf_N-MNIST/clf_NMNIST_test.py’, line 68, in
Tempotron_group = NeuronGroup(N_Tempotron, model=lif_model,threshold=‘v > v_th’,reset=‘v=v_reset’,
An error occurred when preparing an object. (See above for original error message and traceback.)
