diff --git a/models/hh_cond_beta_gap_traub.h b/models/hh_cond_beta_gap_traub.h
index c4dda9b281..2c5104a7f1 100644
--- a/models/hh_cond_beta_gap_traub.h
+++ b/models/hh_cond_beta_gap_traub.h
@@ -94,7 +94,7 @@ Postsynaptic currents
 
 Incoming spike events induce a postsynaptic change of conductance modelled by a
 beta function as outlined in [4]_ [5]_. The beta function is normalized such that an
-event of weight 1.0 results in a peak current of 1 nS at :math:`t = \tau_{rise,xx}`
+event of weight 1.0 results in a peak conductance of 1 nS at :math:`t = \tau_{rise,xx}`
 where xx is `ex` or `in`.
 
 Spike Detection
diff --git a/models/iaf_cond_alpha.h b/models/iaf_cond_alpha.h
index 57a6a52f30..f373f2e764 100644
--- a/models/iaf_cond_alpha.h
+++ b/models/iaf_cond_alpha.h
@@ -69,7 +69,7 @@ Description
 ``iaf_cond_alpha`` is an implementation of a spiking neuron using IAF dynamics with
 conductance-based synapses. Incoming spike events induce a postsynaptic change
 of conductance modelled by an alpha function. The alpha function
-is normalized such that an event of weight 1.0 results in a peak current of 1 nS
+is normalized such that an event of weight 1.0 results in a peak conductance of 1 nS
 at :math:`t = \tau_{syn}`.
 
 See also [1]_, [2]_, [3]_.
diff --git a/models/iaf_cond_exp_sfa_rr.h b/models/iaf_cond_exp_sfa_rr.h
index bd87f92633..2f8881cff0 100644
--- a/models/iaf_cond_exp_sfa_rr.h
+++ b/models/iaf_cond_exp_sfa_rr.h
@@ -74,7 +74,7 @@ spike-frequency adaptation and relative refractory mechanisms as described in
 
 Incoming spike events induce a postsynaptic change of conductance modelled by
 an exponential function. The exponential function is normalized such that an
-event of weight 1.0 results in a peak current of 1 nS.
+event of weight 1.0 results in a peak conductance of 1 nS.
 
 Outgoing spike events induce a change of the adaptation and relative refractory
 conductances by ``q_sfa`` and ``q_rr``, respectively. Otherwise these conductances