bionet.ted.iaf.iaf_encode_delay¶
- bionet.ted.iaf.iaf_encode_delay(u_list, t_start, dt, b_list, d_list, k_list, a_list, w_list, y_list=None, interval_list=None, full_output=False)¶
Multi-input multi-output delayed IAF time encoding machine.
Encode several signals with an ensemble of ideal Integrate-and-Fire neurons with delays.
Parameters: u_list : list of ndarrays of floats
Signals to encode. Each of the ndarrays must be of the same length.
t_start : float
Time at which to begin encoding (in s).
dt : float
Sampling resolution of input signals; the sampling frequency is 1/dt Hz.
b_list : list of floats
List of encoder biases.
d_list : list of floats
List of encoder thresholds.
k_list : list of floats
List of encoder integration constants.
a_list : N x M array_like of floats.
Neuron delays (in s).
w_list : N x M array_like of floats.
Scaling factors.
y_list : list of floats
Initial values of integrators.
interval_list : list of floats
Times since last spikes (in s).
full_output : bool
If set, the function returns the encoded data block followed by the given parameters (with updated values for y and interval). This is useful when the function is called repeatedly to encode a long signal.
Returns: s_list : list of ndarrays of floats
If full_output == False, returns the signals encoded as a list of arrays of time intervals between spikes.
[s_list, t_start, dt, b_list, d_list, k_list, a_list, w_list, y_list,
interval_list, u_list_prev, full_output] : list
If full_output == True, returns the encoded signals followed by updated encoder parameters.
Notes
t_start must exceed max(a).