# 2020/10/27 meeting --- 1. Past work 2. probability of decision exchange 3. Inverse spikes intervel --- ## past work --- 1. Decision make;corr of recurrent & noise 要在關閉input後保留current like this  放大decision部份後長這樣,約300units -> 1/5sec  if noise upup -> recurrent have to upup too 如此才能維持那一小段decision time --- 2. probability of Decision exchange ### process | time | neuron | inputstr | | ---- | ------ | -------- | | 3000 | 0 | 6 | | 3000 | 1 | 5 | | next | next | next | | var | 0 | 0 | | var | 1 | 5 | | next | next | next | | 3000 | 0 | 6 | | 3000 | 1 | 5 | --- 3. inverse spikes interval  ``` Epu = (external_current / -_g) + _rest; Z = (_threshold - _reset) / (Epu - _threshold); ISI = (1 / ((1 / -_g) * log(1 + Z))); ``` --- ## probability of Decision exchange ### process  --- ### 示意圖 XXXXlast week testXXXX  VVVVthis weekVVVV  --- | time | neuron | input_str | |:----------:| ------ | ---------- | | 3000 | 0 | 8 | | 3000 | 1 | 0 | | next | | | | ***var1*** | 0 | 0 | | ***var1*** | 1 | ***var2*** | | next | | | | 3000 | 0 | 8 | | 3000 | 1 | 0 | ## every var1 and var2 run 1000 times to cal those probability. --- ### time_400,700,1000  --- ### detailtime400  --- ## inverse spikes interval   ---
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