Dear Charl and Anno,Thank you for your replies.I hadn't heard about neurons that don't reset and will have to look into it more. Thank you :)I can't seem to run the SFA neuron tutorial linked in Charl's reply. It fails in the first call to NESTCodeGeneratorUtils.generate_code_for(...) with an error found below. I have tried it on two Ubuntu systems using NestML versions 8.0.0-rc1 and 8.0.0-rc2 with the iaf_psc_alpha_neuron.nestml model from the NestML master branch. It is probably just some technical problem on my end and I'm sure I will be able to resolve it soon. Nonetheless, if anyone spots something obvious in the error message below, please let me know.Thanks for your help and have a great day!Kind regards,JonaThe error message:--------------------------------------------------------------------------- CalledProcessError Traceback (most recent call last) File ~/miniconda3/envs/neuro/lib/python3.10/site-packages/pynestml/codegeneration/nest_builder.py:174, in NESTBuilder.build(self) 173 current_stage = "build" --> 174 subprocess.check_call(make_all_cmd, stderr=stderr, stdout=stdout, shell=shell, 175 cwd=str(os.path.join(target_path))) 176 current_stage = "install" File ~/miniconda3/envs/neuro/lib/python3.10/subprocess.py:369, in check_call(*popenargs, **kwargs) 368 cmd = popenargs[0] --> 369 raise CalledProcessError(retcode, cmd) 370 return 0 CalledProcessError: Command '['make', '-j8', 'all']' returned non-zero exit status 2. During handling of the above exception, another exception occurred: GeneratedCodeBuildException Traceback (most recent call last) Cell In[2], line 3 1 # generate and build code 2 module_name_no_sfa, neuron_model_name_no_sfa = \ ----> 3 NESTCodeGeneratorUtils.generate_code_for("iaf_psc_alpha_neuron.nestml") File ~/miniconda3/envs/neuro/lib/python3.10/site-packages/pynestml/codegeneration/nest_code_generator_utils.py:136, in NESTCodeGeneratorUtils.generate_code_for(cls, nestml_neuron_model, nestml_synapse_model, module_name, target_path, post_ports, mod_ports, codegen_opts, logging_level) 133 uniq_id = str(uuid.uuid4().hex) 134 module_name = "nestml_" + uniq_id + "_module" --> 136 generate_nest_target(input_path=input_fns, 137 install_path=install_path, 138 logging_level=logging_level, 139 module_name=module_name, 140 target_path=target_path, 141 suffix="_nestml", 142 codegen_opts=_codegen_opts) 144 if nestml_synapse_model: 145 return module_name, mangled_neuron_name, mangled_synapse_name File ~/miniconda3/envs/neuro/lib/python3.10/site-packages/pynestml/frontend/pynestml_frontend.py:270, in generate_nest_target(input_path, target_path, install_path, logging_level, module_name, store_log, suffix, dev, codegen_opts) 243 def generate_nest_target(input_path: Union[str, Sequence[str]], target_path: Optional[str] = None, 244 install_path: Optional[str] = None, logging_level="ERROR", 245 module_name=None, store_log: bool = False, suffix: str = "", 246 dev: bool = False, codegen_opts: Optional[Mapping[str, Any]] = None): 247 r"""Generate and build code for NEST Simulator. 248 249 Parameters (...) 268 A dictionary containing additional options for the target code generator. 269 """ --> 270 generate_target(input_path, target_platform="NEST", target_path=target_path, logging_level=logging_level, 271 module_name=module_name, store_log=store_log, suffix=suffix, install_path=install_path, 272 dev=dev, codegen_opts=codegen_opts) File ~/miniconda3/envs/neuro/lib/python3.10/site-packages/pynestml/frontend/pynestml_frontend.py:193, in generate_target(input_path, target_platform, target_path, install_path, logging_level, module_name, store_log, suffix, dev, codegen_opts) 165 r"""Generate and build code for the given target platform. 166 167 Parameters (...) 188 A dictionary containing additional options for the target code generator. 189 """ 191 configure_front_end(input_path, target_platform, target_path, install_path, logging_level, 192 module_name, store_log, suffix, dev, codegen_opts) --> 193 if not process() == 0: 194 raise Exception("Error(s) occurred while processing the model") File ~/miniconda3/envs/neuro/lib/python3.10/site-packages/pynestml/frontend/pynestml_frontend.py:482, in process() 480 # perform build 481 if _builder is not None: --> 482 _builder.build() 484 if FrontendConfiguration.store_log: 485 store_log_to_file() File ~/miniconda3/envs/neuro/lib/python3.10/site-packages/pynestml/codegeneration/nest_builder.py:181, in NESTBuilder.build(self) 177 subprocess.check_call(make_install_cmd, stderr=stderr, stdout=stdout, shell=shell, 178 cwd=str(os.path.join(target_path))) 180 except subprocess.CalledProcessError as e: --> 181 raise GeneratedCodeBuildException(stages_exception[current_stage]) 183 finally: 184 if self._options["redirect"]:On Tue, Sep 10, 2024 at 9:33 AM Anno Kurth <a.kurth@fz-juelich.de> wrote:Hi Jona,you might also be interested in the leaky integrate-and-fire model withadaptive thresholdHere, the voltage is not reset after a threshold crossing, though.BestAnnoOn 10.09.24 09:15, Charl Linssen wrote:> Hi Jona,>> Thanks for writing in! Could the NESTML model(s) used in the tutorial at https://nestml.readthedocs.io/en/latest/tutorials/spike_frequency_adaptation/nestml_spike_frequency_adaptation_tutorial.html be what you're looking for? In general, it's easy to take a NESTML model (see https://nestml.readthedocs.io/en/latest/models_library/index.html) and add a threshold adaptation mechanism to it. Please let us know how you fare! (Please make sure you're using the latest NESTML, v8.0.0-rc1 or the GitHub master version.)>> With kind regards,> Charl>> On Tue, Sep 10, 2024, at 08:09, jona.m.scholz@gmail.com wrote:>> Hello everyone,>>>> just a quick question in case anybody knows: is there a LIF model that>> has an adaptive spike threshold in NEST?>>>> I know there's the GLIF model which can have a threshold, but it seems>> to bring other deviations from the conventional LIF model that I want>> to avoid. There's also the adaptive exponential integrate and fire>> model, but again I don't want the exponential part.>>>> It's not a problem if no such model exists in NEST, I am only asking so>> I don't reimplement an existing model.>>>> Any feedback would be appreciated.>>>> Kind regards,>> Jona>> _______________________________________________>> NEST Users mailing list -- users@nest-simulator.org>> To unsubscribe send an email to users-leave@nest-simulator.org> _______________________________________________> NEST Users mailing list -- users@nest-simulator.org> To unsubscribe send an email to users-leave@nest-simulator.org--Anno KurthInstitute for Advanced Simulation (IAS-6)Computational and Systems NeuroscienceJülich Research CentreJülich, GermanyForschungszentrum Juelich GmbH52425 JuelichSitz der Gesellschaft: JuelichEingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498Vorsitzender des Aufsichtsrats: MinDir Stefan MüllerGeschäftsführung: Prof. Dr. Astrid Lambrecht (Vorsitzende),Karsten Beneke (stellv. Vorsitzender), Dr. Ir. Pieter Jansens_______________________________________________NEST Users mailing list -- users@nest-simulator.orgTo unsubscribe send an email to users-leave@nest-simulator.org_______________________________________________NEST Users mailing list -- users@nest-simulator.orgTo unsubscribe send an email to users-leave@nest-simulator.org