fix neuroplasticity error
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@@ -323,7 +323,7 @@ function lifLearn(wRec,
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zitCumulative_cpu = zitCumulative_cpu[:,:,1] # (row, col)
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# weak / negative synaptic connection will get randomed in neuroplasticity()
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wRec_cpu = GeneralUtils.replaceBetween.(wRec_cpu, 0.0, 0.1, -1.0) # mark with -1.0
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wRec_cpu = GeneralUtils.replaceBetween.(wRec_cpu, 0.0, 0.01, -1.0) # mark with -1.0
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# synaptic connection that has no activity will get randomed in neuroplasticity()
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mask = isless.(synapticInactivityCounter_cpu, -10_000)
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@@ -375,7 +375,7 @@ function alifLearn(wRec,
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zitCumulative_cpu = zitCumulative_cpu[:,:,1] # (row, col)
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# weak / negative synaptic connection will get randomed in neuroplasticity()
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wRec_cpu = GeneralUtils.replaceBetween.(wRec_cpu, 0.0, 0.1, -1.0) # mark with -1.0
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wRec_cpu = GeneralUtils.replaceBetween.(wRec_cpu, 0.0, 0.01, -1.0) # mark with -1.0
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# synaptic connection that has no activity will get randomed in neuroplasticity()
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mask = isless.(synapticInactivityCounter_cpu, -10_000)
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@@ -437,7 +437,7 @@ function neuroplasticity(synapticConnectionNumber,
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projection = ones(i1,i2,i3)
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zitMask = zitMask .* projection # (row, col, n)
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totalNewConn = sum(isequal.(wRec, -1.0), dims=(1,2)) # count new conn mark (-1.0), (1, 1, n)
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# println("neuroplasticity, from $synapticConnectionNumber, $totalNewConn are replaced")
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println("neuroplasticity, from $synapticConnectionNumber, $totalNewConn are replaced")
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# clear -1.0 marker
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GeneralUtils.replace_elements!(wRec, -1.0, synapticInactivityCounter, -0.99)
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