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Python Synapses.w方法代码示例

本文整理汇总了Python中brian2.Synapses.w方法的典型用法代码示例。如果您正苦于以下问题:Python Synapses.w方法的具体用法?Python Synapses.w怎么用?Python Synapses.w使用的例子?那么, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在brian2.Synapses的用法示例。


在下文中一共展示了Synapses.w方法的2个代码示例,这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞,您的评价将有助于系统推荐出更棒的Python代码示例。

示例1: test_store_restore_magic

# 需要导入模块: from brian2 import Synapses [as 别名]
# 或者: from brian2.Synapses import w [as 别名]
def test_store_restore_magic():
    source = NeuronGroup(10, '''dv/dt = rates : 1
                                rates : Hz''', threshold='v>1', reset='v=0')
    source.rates = 'i*100*Hz'
    target = NeuronGroup(10, 'v:1')
    synapses = Synapses(source, target, model='w:1', pre='v+=w', connect='i==j')
    synapses.w = 'i*1.0'
    synapses.delay = 'i*ms'
    state_mon = StateMonitor(target, 'v', record=True)
    spike_mon = SpikeMonitor(source)
    store()  # default time slot
    run(10*ms)
    store('second')
    run(10*ms)
    v_values = state_mon.v[:, :]
    spike_indices, spike_times = spike_mon.it_

    restore() # Go back to beginning
    assert magic_network.t == 0*ms
    run(20*ms)
    assert defaultclock.t == 20*ms
    assert_equal(v_values, state_mon.v[:, :])
    assert_equal(spike_indices, spike_mon.i[:])
    assert_equal(spike_times, spike_mon.t_[:])

    # Go back to middle
    restore('second')
    assert magic_network.t == 10*ms
    run(10*ms)
    assert defaultclock.t == 20*ms
    assert_equal(v_values, state_mon.v[:, :])
    assert_equal(spike_indices, spike_mon.i[:])
    assert_equal(spike_times, spike_mon.t_[:])
开发者ID:appusom,项目名称:brian2,代码行数:35,代码来源:test_network.py

示例2: create_net

# 需要导入模块: from brian2 import Synapses [as 别名]
# 或者: from brian2.Synapses import w [as 别名]
    def create_net():
        # Use a bit of a complicated spike and connection pattern with
        # heterogeneous delays

        # Note: it is important that all objects have the same name, this would
        # be the case if we were running this in a new process but to not rely
        # on garbage collection we will assign explicit names here
        source = SpikeGeneratorGroup(5, np.arange(5).repeat(3),
                                     [3, 4, 1, 2, 3, 7, 5, 4, 1, 0, 5, 9, 7, 8, 9]*ms,
                                     name='source')
        target = NeuronGroup(10, 'v:1', name='target')
        synapses = Synapses(source, target, model='w:1', pre='v+=w', connect='j>=i',
                            name='synapses')
        synapses.w = 'i*1.0 + j*2.0'
        synapses.delay = '(5-i)*ms'
        state_mon = StateMonitor(target, 'v', record=True, name='statemonitor')
        input_spikes = SpikeMonitor(source, name='input_spikes')
        net = Network(source, target, synapses, state_mon, input_spikes)
        return net
开发者ID:moritzaugustin,项目名称:brian2,代码行数:21,代码来源:test_network.py


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