def format_test(self): from neuronunit.optimisation.optimization_management import switch_logic, active_values, passive_values # pre format the current injection dictionary based on pre computed # rheobase values of current injection. # This is much like the hooked method from the old get neab file. self.protocols = {} if not hasattr(self,'tests'): self.tests = copy.copy(self.tests) if hasattr(self.tests,'keys'):# is type(dict): tests = [key for key in self.tests.values()] self.tests = switch_logic(tests)#,self.tests.use_rheobase_score) else: self.tests = switch_logic(self.tests) for v in self.tests: k = v.name self.protocols[k] = {} if hasattr(v,'passive'):#['protocol']: if v.passive == False and v.active == True: keyed = self.protocols[k]#.params self.protocols[k] = active_values(keyed,self.rheobase) elif v.passive == True and v.active == False: keyed = self.protocols[k]#.params self.protocols[k] = passive_values(keyed) if v.name in str('RestingPotentialTest'): self.protocols[k]['injected_square_current'] = {} self.protocols[k]['injected_square_current']['amplitude'] = 0.0*qt.pA keyed = v.params['injected_square_current'] v.params['t_max'] = keyed['delay']+keyed['duration'] + 200.0*pq.ms return self.tests
def initialise_test(v,rheobase): v = switch_logic([v]) v = v[0] k = v.name if not hasattr(v,'params'): v.params = {} if not 'injected_square_current' in v.params.keys(): v.params['injected_square_current'] = {} if v.passive == False and v.active == True: keyed = v.params['injected_square_current'] v.params = active_values(keyed,rheobase) v.params['injected_square_current']['delay'] = DELAY v.params['injected_square_current']['duration'] = DURATION if v.passive == True and v.active == False: v.params['injected_square_current']['amplitude'] = -10*pq.pA v.params['injected_square_current']['delay'] = PASSIVE_DELAY v.params['injected_square_current']['duration'] = PASSIVE_DURATION if v.name in str('RestingPotentialTest'): v.params['injected_square_current']['delay'] = PASSIVE_DELAY v.params['injected_square_current']['duration'] = PASSIVE_DURATION v.params['injected_square_current']['amplitude'] = 0.0*pq.pA return v