Logic Test fix and yaml componet changes

README_GCP.md

@@ -0,0 +1,76 @@
+# Installing Cupy for GCP Using NVIDIA GPU
+* Make sure that there is enough space on your disk for your VM
+### Install NVIDIA-Driver, any over 550 should work. This example used 570
+
+```bash
+sudo apt install nvidia-driver-570
+sudo reboot
+```
+### Get CUDA runtime libraries 
+```bash
+wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64/cuda-ubuntu2204.pin
+sudo mv cuda-ubuntu2204.pin /etc/apt/preferences.d/cuda-repository-pin-600
+
+sudo apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64/3bf863cc.pub
+
+sudo add-apt-repository -y "deb https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64/ /"
+
+sudo apt-get update
+
+sudo apt-get -y install cuda
+
+sudo apt-get -y install libcudnn8
+
+export PATH=/usr/local/cuda/bin:$PATH
+export LD_LIBRARY_PATH=/usr/local/cuda/lib64:$LD_LIBRARY_PATH
+
+source ~/.bashrc
+
+nvcc --version
+```
+### Install Conda using MiniConda
+```bash
+wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh -O ~/miniconda.sh
+bash ~/miniconda.sh -b -p $HOME/miniconda
+#ADD TO PATH
+echo 'export PATH=$HOME/miniconda/bin:$PATH' >> ~/.bashrc
+source ~/.bashrc
+```
+### Create an enviorment directory for your conda enviorment and enviorment
+```bash
+mkdir envs
+cd envs
+# MAKE ENV
+conda create --prefix <Path for env> python=3.11.0
+source activate <Path for env>
+```
+## Cupy installation instructions
+Using nvidia-smi check your cuda version. Version tested with is 12.8
+Install cupy-cuda12x using pip; modify for cuda version<12 & >12
+```bash
+python -m pip install --no-cache-dir cupy-cuda12x==13.6.0
+#check installation done correctly
+python -c "import cupy; print(cupy.__file__)"
+#run this as a test to make sure it works
+python -c "import cupy as cp; x=cp.array([1,2,3]); print('Array test:', x*2)"
+```
+### Install Superneuroabm
+Clone repo and install dependencies
+install mpi4py
+```bash 
+sudo apt-get update
+sudo apt-get install -y libopenmpi-dev openmpi-bin
+pip install --no-cache-dir --force-reinstall mpi4py
+```
+install all other dependencies 
+```bash
+pip install sagesim==0.4.0dev1
+pip install networkx matplotlib pyyaml
+pip install superneuroabm==1.0.0dev1
+```
+Now the unit tests can be run without error
+Note at the time of this all functioning tests work off of the 62-update-and-expand-unit-tests
+### running test
+```bash
+python -m unittest /tests/logic_gates_test_lif.py
+```

superneuroabm/component_base_config.yaml

@@ -20,7 +20,7 @@ soma:
       hyperparameters:
         k: 1.2
         vthr: -45
-        C: 150
+        C: 15
         a: 0.01
         b: 5
         vpeak: 50
@@ -36,26 +36,30 @@ synapse:
   single_exp_synapse:
     no_learning_config_0:
       hyperparameters:
-        weight: 14.0  # Synaptic weight (strength)
+        weight: 15.0  # Synaptic weight (strength)
         synaptic_delay: 1.0  # Transmission delay (ms)
         scale: 1.0  # Scaling factor
         tau_fall: 1e-2  # Decay time constant (1 ms)
         tau_rise: 0  # Rise time constant (instantaneous)
       internal_state:
-        I_synapse: 0.0  # Initial synaptic current  
+        I_synapse: 1.0  # Initial synaptic current  
       learning_hyperparameters: 
         stdp_type: -1  # No learning
+      internal_learning_state:
+        pre_trace: 0 # Pre-synaptic trace
+        post_trace: 0 # Post-synaptic trace
+        dW: 0
     exp_pair_wise_stdp_config_0:
       hyperparameters:
-        weight: 14.0  # Synaptic weight (strength)
+        weight: 5.0  # Synaptic weight (strength)
         synaptic_delay: 1.0  # Transmission delay (ms)
         scale: 1.0  # Scaling factor
         tau_fall: 1e-2  # Decay time constant (1 ms)
         tau_rise: 0  # Rise time constant (instantaneous)
       internal_state:
-        I_synapse: 0.0  # Initial synaptic current  
+        I_synapse: 1.0  # Initial synaptic current
       learning_hyperparameters:
-        stdp_type: 0  # Exp pair-wise STDP
+        stdp_type: 10e-3   # Exp pair-wise STDP
         tau_pre_stdp: 10e-3  # Pre-synaptic STDP time constant (10 ms)
         tau_post_stdp: 10e-3  # Post-synaptic STDP time constant (10 ms)
         a_exp_pre: 0.005  # Pre-synaptic STDP learning rate