added meta-data to rate-cell, input encoders, adex

Author: ago109

Diff for: ngclearn/components/input_encoders/bernoulliCell.py

@@ -65,9 +65,9 @@ def __init__(self, name, n_units, batch_size=1, **kwargs):
 
         # Compartments (state of the cell, parameters, will be updated through stateless calls)
         restVals = jnp.zeros((self.batch_size, self.n_units))
-        self.inputs = Compartment(restVals) # input compartment
-        self.outputs = Compartment(restVals) # output compartment
-        self.tols = Compartment(restVals) # time of last spike
+        self.inputs = Compartment(restVals, display_name="Input Stimulus") # input compartment
+        self.outputs = Compartment(restVals, display_name="Spikes") # output compartment
+        self.tols = Compartment(restVals, display_name="Time-of-Last-Spike", units="ms") # time of last spike
 
     @staticmethod
     def _advance_state(t, key, inputs, tols):

Diff for: ngclearn/components/input_encoders/latencyCell.py

@@ -173,11 +173,11 @@ def __init__(self, name, n_units, tau=1., threshold=0.01, first_spike_time=0.,
 
         ## Compartment setup
         restVals = jnp.zeros((self.batch_size, self.n_units))
-        self.inputs = Compartment(restVals) # input compartment
-        self.outputs = Compartment(restVals) # output compartment
-        self.mask = Compartment(restVals)  # output compartment
-        self.tols = Compartment(restVals) # time of last spike
-        self.targ_sp_times = Compartment(restVals)
+        self.inputs = Compartment(restVals, display_name="Input Stimulus") # input compartment
+        self.outputs = Compartment(restVals, display_name="Spikes") # output compartment
+        self.mask = Compartment(restVals, display_name="Mask Variable")  # output compartment
+        self.tols = Compartment(restVals, display_name="Time-of-Last-Spike", units="ms") # time of last spike
+        self.targ_sp_times = Compartment(restVals, display_name="Target Spike Time", units="ms")
         #self.reset()
 
     @staticmethod

Diff for: ngclearn/components/input_encoders/poissonCell.py

@@ -77,9 +77,9 @@ def __init__(self, name, n_units, max_freq=63.75, batch_size=1, **kwargs):
 
         ## Compartment setup
         restVals = jnp.zeros((self.batch_size, self.n_units))
-        self.inputs = Compartment(restVals) # input compartment
-        self.outputs = Compartment(restVals) # output compartment
-        self.tols = Compartment(restVals) # time of last spike
+        self.inputs = Compartment(restVals, display_name="Input Stimulus") # input compartment
+        self.outputs = Compartment(restVals, display_name="Spikes") # output compartment
+        self.tols = Compartment(restVals, display_name="Time-of-Last-Spike", units="ms") # time of last spike
 
     @staticmethod
     def _advance_state(t, dt, max_freq, key, inputs, tols):

Diff for: ngclearn/components/neurons/graded/rateCell.py

@@ -181,10 +181,10 @@ def __init__(self, name, n_units, tau_m, prior=("gaussian", 0.), act_fx="identit
 
         # compartments (state of the cell & parameters will be updated through stateless calls)
         restVals = jnp.zeros(_shape)
-        self.j = Compartment(restVals) # electrical current
-        self.zF = Compartment(restVals) # rate-coded output - activity
-        self.j_td = Compartment(restVals) # top-down electrical current - pressure
-        self.z = Compartment(restVals) # rate activity
+        self.j = Compartment(restVals, display_name="Input Stimulus Current", units="mA") # electrical current
+        self.zF = Compartment(restVals, display_name="Transformed Rate Activity") # rate-coded output - activity
+        self.j_td = Compartment(restVals, display_name="Modulatory Stimulus Current", units="mA") # top-down electrical current - pressure
+        self.z = Compartment(restVals, display_name="Rate Activity", units="mA") # rate activity
 
     @staticmethod
     def _advance_state(dt, fx, dfx, tau_m, priorLeakRate, intgFlag, priorType,

Diff for: ngclearn/components/neurons/spiking/adExCell.py

@@ -166,11 +166,12 @@ def __init__(self, name, n_units, tau_m=15., resist_m=1., tau_w=400.,
 
         ## Compartment setup
         restVals = jnp.zeros((self.batch_size, self.n_units))
-        self.j = Compartment(restVals)
-        self.v = Compartment(restVals + self.v0)
-        self.w = Compartment(restVals + self.w0)
-        self.s = Compartment(restVals)
-        self.tols = Compartment(restVals) ## time-of-last-spike
+        self.j = Compartment(restVals, display_name="Current", units="mA")
+        self.v = Compartment(restVals + self.v0, display_name="Voltage", units="mV")
+        self.w = Compartment(restVals + self.w0, display_name="Recovery")
+        self.s = Compartment(restVals, display_name="Spikes")
+        self.tols = Compartment(restVals, display_name="Time-of-Last-Spike",
+                                units="ms") ## time-of-last-spike
 
     @staticmethod
     def _advance_state(t, dt, tau_m, R_m, tau_w, v_thr, a, b, sharpV, vT,