diff --git a/pynestml/codegeneration/printers/spinnaker_c_variable_printer.py b/pynestml/codegeneration/printers/spinnaker_c_variable_printer.py
index 1cf4a3e2b..50bb2ca1f 100644
--- a/pynestml/codegeneration/printers/spinnaker_c_variable_printer.py
+++ b/pynestml/codegeneration/printers/spinnaker_c_variable_printer.py
@@ -150,7 +150,7 @@ def _print_buffer_value(self, variable: ASTVariable) -> str:
                 vector_parameter = ASTUtils.get_numeric_vector_size(variable)
                 var_name = var_name + "_" + str(vector_parameter)
 
-            return "input.inputs[" + var_name + " - MIN_SPIKE_RECEPTOR]"
+            return "input->inputs[" + var_name + " - MIN_SPIKE_RECEPTOR]"
 
         if variable_symbol.is_continuous_input_port():
             var_name = variable_symbol.get_symbol_name().upper()
@@ -158,7 +158,7 @@ def _print_buffer_value(self, variable: ASTVariable) -> str:
                 vector_parameter = ASTUtils.get_numeric_vector_size(variable)
                 var_name = var_name + "_" + str(vector_parameter)
 
-            return "input.inputs[" + var_name + " - MIN_SPIKE_RECEPTOR]"
+            return "input->inputs[" + var_name + " - MIN_SPIKE_RECEPTOR]"
 
         return variable_symbol.get_symbol_name() + '_grid_sum_'
 
diff --git a/pynestml/codegeneration/resources_spinnaker/@NEURON_NAME@_impl.h.jinja2 b/pynestml/codegeneration/resources_spinnaker/@NEURON_NAME@_impl.h.jinja2
index 77a2be9ec..2466eb2e9 100644
--- a/pynestml/codegeneration/resources_spinnaker/@NEURON_NAME@_impl.h.jinja2
+++ b/pynestml/codegeneration/resources_spinnaker/@NEURON_NAME@_impl.h.jinja2
@@ -206,12 +206,10 @@ static void neuron_impl_add_inputs(
     // Get the neuron itself
 
     neuron_impl_t *neuron = &neuron_array[neuron_index];
-    neuron_state_t state = neuron->state;
-    neuron_input_t input = neuron->input;
-    neuron_parameter_t parameter = neuron->parameter;
+    neuron_input_t *input = &neuron->input;
 
     // Do something to store the inputs for the next state update
-    input.inputs[synapse_type_index] += weights_this_timestep;
+    input->inputs[synapse_type_index] += weights_this_timestep;
 }
 
 __attribute__((unused)) // Marked unused as only used sometimes
@@ -220,14 +218,14 @@ static void neuron_impl_do_timestep_update(
     for (uint32_t neuron_index = 0; neuron_index < n_neurons; neuron_index++) {
         // Get the neuron itself
         neuron_impl_t *neuron = &neuron_array[neuron_index];
-        neuron_state_t state = neuron->state;
-        neuron_input_t input = neuron->input;
-        neuron_parameter_t parameter = neuron->parameter;
+        neuron_state_t *state = &neuron->state;
+        neuron_input_t *input = &neuron->input;
+        neuron_parameter_t *parameter = &neuron->parameter;
 
         // Store the recorded membrane voltage
 {%- for variable in neuron.get_state_symbols() %}
 {%-   if variable.is_recordable %}
-        neuron_recording_record_accum({{ variable.get_symbol_name().upper() }}_RECORDING_INDEX, neuron_index, state.{{ variable.get_symbol_name() }});
+        neuron_recording_record_accum({{ variable.get_symbol_name().upper() }}_RECORDING_INDEX, neuron_index, state->{{ variable.get_symbol_name() }});
 {%-   endif -%}
 {%- endfor %}
 
@@ -248,10 +246,10 @@ static void neuron_impl_do_timestep_update(
         // neuron_recording_record_bit(SPIKE_RECORDING_BITFIELD, neuron_index);   // ?
     
 {%- for variable in neuron.get_spike_input_ports() %}
-        input.inputs[{{ variable.get_symbol_name().upper() }}] = ZERO;
+        input->inputs[{{ variable.get_symbol_name().upper() }}] = ZERO;
 {%- endfor %}
 {%- for variable in neuron.get_continuous_input_ports() %}
-        input.inputs[{{ variable.get_symbol_name().upper() }}] = ZERO;
+        input->inputs[{{ variable.get_symbol_name().upper() }}] = ZERO;
 {%- endfor %}
     }
 }
@@ -261,9 +259,9 @@ void neuron_impl_print_inputs(uint32_t n_neurons) {
     log_debug("-------------------------------------\n");
     for (index_t i = 0; i < n_neurons; i++) {
         neuron_impl_t *neuron = &neuron_array[i];
-        neuron_input_t input = neuron.input;
+        neuron_input_t *input = &neuron.input;
 
-        log_debug("inputs: %k %k", input.inputs[0], input.inputs[1]);
+        log_debug("inputs: %k %k", input->inputs[0], input->inputs[1]);
     }
     log_debug("-------------------------------------\n");
 }
diff --git a/pynestml/codegeneration/spinnaker_code_generator_utils.py b/pynestml/codegeneration/spinnaker_code_generator_utils.py
index 6c1559dbb..5372eb5b0 100644
--- a/pynestml/codegeneration/spinnaker_code_generator_utils.py
+++ b/pynestml/codegeneration/spinnaker_code_generator_utils.py
@@ -36,19 +36,19 @@ def print_symbol_origin(cls, variable_symbol: VariableSymbol, numerical_state_sy
             if numerical_state_symbols and variable_symbol.get_symbol_name() in numerical_state_symbols:
                 return 'S_.ode_state[State_::%s]'
 
-            return 'state.%s'
+            return 'state->%s'
 
         if variable_symbol.block_type == BlockType.PARAMETERS:
-            return 'parameter.%s'
+            return 'parameter->%s'
 
         if variable_symbol.block_type == BlockType.COMMON_PARAMETERS:
-            return 'parameter.%s'
+            return 'parameter->%s'
 
         if variable_symbol.block_type == BlockType.INTERNALS:
-            return 'parameter.%s'
+            return 'parameter->%s'
 
         if variable_symbol.block_type == BlockType.INPUT:
-            return 'input.%s'
+            return 'input.>%s'
 
         return ''
         
\ No newline at end of file