X-Git-Url: https://git.armaanb.net/?p=norepinephrine_wm.git;a=blobdiff_plain;f=norepinephrine_wm%2Fparameters.txt;fp=norepinephrine_wm%2Fparameters.txt;h=0000000000000000000000000000000000000000;hp=d36549b9172270b038e2f170701cf3757f890020;hb=34c295265845573ded0eb3d96d81d9a1adea1609;hpb=29fe67a949d1debb332a98ad2250b1f0b0d940fc diff --git a/norepinephrine_wm/parameters.txt b/norepinephrine_wm/parameters.txt deleted file mode 100644 index d36549b..0000000 --- a/norepinephrine_wm/parameters.txt +++ /dev/null @@ -1,32 +0,0 @@ -{ -'seed':3, #for the simulator build process -'n_trials':3, -'n_processes':9, -'dt':0.001, #timestep -'dt_sample':0.01, #timestep for data recording through probes -'t_cue':1.0, #duration of cue presentation -'t_delay':8.0, #duration of delay period between cue and decision -'misperceive':0.1, #chance of failing to perceive the cue, causing no info to go into WM - -'neurons_inputs':100, #neurons for the inputs ensemble -'neurons_wm':1000, #neurons for workimg memory ensemble -'neurons_decide':100, #neurons for decision or basal ganglia -'time_scale':0.4, #how fast does the 'time' dimension accumulate in WM neurons -'cue_scale':1.0, #how strong is the cueulus from the visual system -'tau':0.01, #synaptic time constant between ensembles -'tau_wm':0.1, #synapse on recurrent connection in wm -'noise_wm':0.005, #std of full-spectrum white noise inject into wm.neurons -'noise_decision':0.3, #std of added gaussian noise in the default decision procedure; - -'decision_type':'default', #decision procedure: 'default', 'basal_ganglia' -'drug_type':'biophysical', #drug simulation: 'neural','functional','biophysical' -'drugs':['control','PHE','GFC'], #names of the of drugs to simulate, see dicts below -'drug_effect_neural':{'control':0.0,'PHE':-0.2,'GFC':0.5}, #mean of cue onto wm.neurons -'drug_effect_biophysical':{'control':[1.0,1,0],'PHE':[0.99,1.02],'GFC':[1.05,0.95]}, #k_gain, k_bias -'drug_effect_functional':{'control':1.0,'PHE':0.985,'GFC':1.03}, #k_multiply - -'enc_min_cutoff':0.3, #minimum cutoff for "weak" encoders in preferred directions -'enc_max_cutoff':0.6, #maximum cutoff for "weak" encoders in preferred directions -'sigma_smoothing':0.005, #gaussian smoothing applied to spike data to calculate firing rate -'frac':0.01, #fraction of neurons in WM to add to firing rate dataframe and plot -} \ No newline at end of file