Poisson Input about snn_toolbox

[rbodo]

Does it mean that all other simulators except INIsim use Poisson input?

Yes. Constant input current with pyNN simulators should in principle be possible using the StepCurrentSource class, but I have not implemented it (anyone's welcome to do it).

I ran using 'nest' simulator; in the config file for lenet5/keras: i set poisson_input = True or False, both are able to run, may I know why?

If you set poisson_input = False with pyNN simulators, the toolbox detects the mismatch and issues a warning (pretty early in the console output, probably getting buried by all the other output), and sets poisson_input = True.

How does SpikeSourcePoisson read mnist generated spiketrains?

That is not done when constructing the input layer, but during simulation (because the input changes), here:

if self._poisson_input:
    rates = kwargs[str('x_b_l')].flatten()
    for neuron_idx, neuron in enumerate(self.layers[0]):
        neuron.rate = rates[neuron_idx] / self.rescale_fac * 1000

[piewchee]

Does it mean that all other simulators except INIsim use Poisson input?

Yes. Constant input current with pyNN simulators should in principle be possible using the StepCurrentSource class, but I have not implemented it (anyone's welcome to do it).

I ran using 'nest' simulator; in the config file for lenet5/keras: i set poisson_input = True or False, both are able to run, may I know why?

If you set poisson_input = False with pyNN simulators, the toolbox detects the mismatch and issues a warning (pretty early in the console output, probably getting buried by all the other output), and sets poisson_input = True.

How does SpikeSourcePoisson read mnist generated spiketrains?

That is not done when constructing the input layer, but during simulation (because the input changes), here:

if self._poisson_input:
    rates = kwargs[str('x_b_l')].flatten()
    for neuron_idx, neuron in enumerate(self.layers[0]):
        neuron.rate = rates[neuron_idx] / self.rescale_fac * 1000

Hi Rbodo,

Ok I didn't notice the auto switched to poisson_input=true. That's explain the whole thing.

Thanks!

Rgds
Del