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@@ -10,8 +10,9 @@ mu = 0.1
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epsilon = 0.1
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epsilon = 0.1
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# external rate relative to threshold rate
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# external rate relative to threshold rate
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eta = 0.9
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eta = 0.9
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-# variance of weight sample distributions
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+# type of distribution for synaptic weights
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syndist = 'lognormal' # 'truncated-normal' 'lognormal' 'normal'
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syndist = 'lognormal' # 'truncated-normal' 'lognormal' 'normal'
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+# variance of weight sample distributions
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sigma_ex = 0.12
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sigma_ex = 0.12
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sigma_in = 0.1
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sigma_in = 0.1
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# simulation time
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# simulation time
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@@ -20,12 +21,30 @@ simtime = 61000 #ms
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###### rewiring parameters ######
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###### rewiring parameters ######
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shuffle_source = ['E', 'I']
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shuffle_source = ['E', 'I']
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shuffle_target = ['E', 'I']
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shuffle_target = ['E', 'I']
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-shuffle_frac = [1.0, 3500]
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+shuffle_frac = 1.0
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add_source = 'E'
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add_source = 'E'
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add_target = 'E'
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add_target = 'E'
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-add_source_frac = [0.2, 12800]
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-add_target_frac = [0.1, 0.2, 0.4, 0.6, 0.8, 1.0]
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+add_source_frac = [0.2, 10000]
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+# add_target_frac > p/(1-p) * add_source_frac
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+add_target_frac = [0.02, 0.05, 0.1, 0.2, 0.4, 0.6, 0.8, 1.0]
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+
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+cluster_pop = 'E'
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+cluster_number = 3
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+cluster_size = [0.02, 0.04, 0.06, 0.08]
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+cluster_epsilon = [0.2, 0.3, 0.4, 0.5, 0.6]
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+
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+hub_pop = 'E'
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+hub_size = [0.04, 0.06, 0.08, 0.10]
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+hub_strength = [0.2, 0.3, 0.4, 0.5]
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+hub_epsilon = 0.5
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+
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+chain_pop = 'E'
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+chain_size = [0.05, 0.10, 0.15, 0.20]
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+chain_strength = [0.3, 0.4, 0.5, 0.6]
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+chain_epsilon = 0.6
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+chain_length = 3
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+connectors = [0, 30]
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###### derived & fixed network parameters ######
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###### derived & fixed network parameters ######
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J_ex = mu
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J_ex = mu
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