##########################
# SpikeDetekt parameters #
##########################

experiment_name = 'PeterP-2013-10-10_dataset1_testing_klustakwik_beta4'
raw_data_files = ['PeterP-2013-10-10_010.dat','PeterP-2013-10-10_011.dat']

prb_file = 'berg3x64_v7.prb'
nbits = 16
voltage_gain = 40.

sample_rate = 40000
nchannels = 193


# Filtering
# ---------
filter_low = 400. # Low pass frequency (Hz)
filter_high = 0.45 * .5 * sample_rate
filter_butter_order = 3  # Order of Butterworth filter.

filter_lfp_low = 0  # LFP filter low-pass frequency
filter_lfp_high = 300  # LFP filter high-pass frequency


# Chunks
# ------
chunk_size = int(1. * sample_rate)  # 1 second
chunk_overlap = int(.015 * sample_rate)  # 15 ms

# Spike detection
# ---------------
# Uniformly scattered chunks, for computing the threshold from the std of the
# signal across the whole recording.
nexcerpts = 5 # Default 50
excerpt_size = int(1.0 * sample_rate)
threshold_strong_std_factor = 8.5 # default 4.5
threshold_weak_std_factor = 4. # default 2.
detect_spikes = 'negative'
use_single_threshold = False
# precomputed_threshold = None
thresh_begin = int(sample_rate * 10)
thresh_end = int(sample_rate * 25)
# nsamples_thresh_calc = sample_rate * 25

# Connected component
# -------------------
connected_component_join_size = int(.00005 * sample_rate)
    
# Spike extraction
# ----------------
extract_s_before = 24
extract_s_after = 36
waveforms_nsamples = extract_s_before + extract_s_after

# Features
# --------
nfeatures_per_channel = 3  # Number of features per channel.
pca_nwaveforms_max = 10000


#########################
# KlustaKwik parameters #
#########################
MaskStarts = 300
# MinClusters = 100 
# MaxClusters = 110
MaxPossibleClusters =  500
FullStepEvery =  10
MaxIter = 10000
RandomSeed =  654
Debug = 0
SplitFirst = 20 
SplitEvery = 100 
PenaltyK = 0.0 # Default 0
PenaltyKLogN = 1.0 # Default 1
# Subset = 1
PriorPoint = 1
SaveSorted = 1
SaveCovarianceMeans = 0
UseMaskedInitialConditions = 1 
AssignToFirstClosestMask = 1
UseDistributional = 1
DropLastNFeatures = 1