update deps; bump to v0.2.3

Author: kjohnsen

README.ipynb

@@ -531,7 +531,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {
@@ -549,10 +549,11 @@
     "from scipy import sparse\n",
     "\n",
     "J = sparse.lil_array((N_tot, N_tot))\n",
-    "J[exc_synapses.i, exc_synapses.j] = J_excit\n",
+    "# workaround for bug with b2 VariableView not working as sparse array indices\n",
+    "J[np.array(exc_synapses.i, dtype=int), np.array(exc_synapses.j, dtype=int)] = J_excit\n",
     "# careful with indexing: subgroup indexing (and thus synapse.i) starts over\n",
     "# again with 0, despite coming from subgroup starting at index N_excit\n",
-    "J[inhib_synapses.i + N_excit, inhib_synapses.j] = J_inhib\n",
+    "J[np.array(inhib_synapses.i + N_excit, dtype=int), np.array(inhib_synapses.j, dtype=int)] = J_inhib\n",
     "J = J.tocsr()[:, :N_excit]  # only need spikes onto pyramidal cells\n",
     "\n",
     "I_ampa = wslfp.spikes_to_biexp_currents(\n",

README.md

@@ -409,10 +409,11 @@ The computation requires spike times and source indices, as well as a connectivi
 from scipy import sparse
 
 J = sparse.lil_array((N_tot, N_tot))
-J[exc_synapses.i, exc_synapses.j] = J_excit
+# workaround for bug with b2 VariableView not working as sparse array indices
+J[np.array(exc_synapses.i, dtype=int), np.array(exc_synapses.j, dtype=int)] = J_excit
 # careful with indexing: subgroup indexing (and thus synapse.i) starts over
 # again with 0, despite coming from subgroup starting at index N_excit
-J[inhib_synapses.i + N_excit, inhib_synapses.j] = J_inhib
+J[np.array(inhib_synapses.i + N_excit, dtype=int), np.array(inhib_synapses.j, dtype=int)] = J_inhib
 J = J.tocsr()[:, :N_excit]  # only need spikes onto pyramidal cells
 
 I_ampa = wslfp.spikes_to_biexp_currents(