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150 | 150 | import brainpy.state as state |
151 | 151 | except: |
152 | 152 | pass |
153 | | - |
154 | | -if __name__ == '__main__': |
155 | | - connect |
156 | | - initialize, # weight initialization |
157 | | - optim, # gradient descent optimizers |
158 | | - losses, # loss functions |
159 | | - measure, # methods for data analysis |
160 | | - inputs, # methods for generating input currents |
161 | | - encoding, # encoding schema |
162 | | - checkpoints, # checkpoints |
163 | | - check, # error checking |
164 | | - mixin, # mixin classes |
165 | | - algorithms, # online or offline training algorithms |
166 | | - check, tools, errors, math |
167 | | - BrainPyObject, |
168 | | - integrators, ode, sde, fde |
169 | | - Integrator, JointEq, IntegratorRunner, odeint, sdeint, fdeint |
170 | | - DynamicalSystem, DynSysGroup, Sequential, Dynamic, Projection |
171 | | - receive_update_input, receive_update_output, not_receive_update_input, not_receive_update_output |
172 | | - VarDelay |
173 | | - dnn, layers, dyn |
174 | | - NeuGroup, NeuGroupNS |
175 | | - share |
176 | | - reset_level, reset_state, save_state, load_state, clear_input |
177 | | - DSRunner, LoopOverTime, running |
178 | | - DSTrainer, BPTT, BPFF, OnlineTrainer, ForceTrainer, |
179 | | - OfflineTrainer, RidgeTrainer |
180 | | - analysis |
181 | | - visualize |
182 | | - train |
183 | | - channels, neurons, synapses, rates, synouts, synplast |
184 | | - Base |
185 | | - ArrayCollector, Collector, errors |
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