diff options
Diffstat (limited to 'pyspike/cython/directionality_python_backend.py')
| -rw-r--r-- | pyspike/cython/directionality_python_backend.py | 57 |
1 files changed, 56 insertions, 1 deletions
diff --git a/pyspike/cython/directionality_python_backend.py b/pyspike/cython/directionality_python_backend.py index e14238f..c1d820b 100644 --- a/pyspike/cython/directionality_python_backend.py +++ b/pyspike/cython/directionality_python_backend.py @@ -15,7 +15,62 @@ import numpy as np ############################################################ # spike_train_order_python ############################################################ -def spike_train_order_python(spikes1, spikes2, t_start, t_end, max_tau): +def spike_directionality_profile_python(spikes1, spikes2, t_start, t_end, + max_tau): + + def get_tau(spikes1, spikes2, i, j, max_tau): + m = t_end - t_start # use interval as initial tau + if i < len(spikes1)-1 and i > -1: + m = min(m, spikes1[i+1]-spikes1[i]) + if j < len(spikes2)-1 and j > -1: + m = min(m, spikes2[j+1]-spikes2[j]) + if i > 0: + m = min(m, spikes1[i]-spikes1[i-1]) + if j > 0: + m = min(m, spikes2[j]-spikes2[j-1]) + m *= 0.5 + if max_tau > 0.0: + m = min(m, max_tau) + return m + + N1 = len(spikes1) + N2 = len(spikes2) + i = -1 + j = -1 + d1 = np.zeros(N1) # directionality values + d2 = np.zeros(N2) # directionality values + while i + j < N1 + N2 - 2: + if (i < N1-1) and (j == N2-1 or spikes1[i+1] < spikes2[j+1]): + i += 1 + tau = get_tau(spikes1, spikes2, i, j, max_tau) + if j > -1 and spikes1[i]-spikes2[j] < tau: + # coincidence between the current spike and the previous spike + # spike in first spike train occurs after second + d1[i] = -1 + d2[j] = +1 + elif (j < N2-1) and (i == N1-1 or spikes1[i+1] > spikes2[j+1]): + j += 1 + tau = get_tau(spikes1, spikes2, i, j, max_tau) + if i > -1 and spikes2[j]-spikes1[i] < tau: + # coincidence between the current spike and the previous spike + # spike in second spike train occurs after first + d1[i] = +1 + d2[j] = -1 + else: # spikes1[i+1] = spikes2[j+1] + # advance in both spike trains + j += 1 + i += 1 + d1[i] = 0 + d2[j] = 0 + + return d1, d2 + + +############################################################ +# spike_train_order_python +############################################################ +def spike_train_order_profile_python(spikes1, spikes2, t_start, t_end, + max_tau): def get_tau(spikes1, spikes2, i, j, max_tau): m = t_end - t_start # use interval as initial tau |