Index

_

__init__() (brainpy.analysis.numeric.FixedPointFinder method) (brainpy.analysis.symbolic.Base1DSymAnalyzer method) (brainpy.analysis.symbolic.Base2DSymAnalyzer method) (brainpy.analysis.symbolic.BaseSymAnalyzer method) (brainpy.analysis.symbolic.Bifurcation method) (brainpy.analysis.symbolic.FastSlowBifurcation method) (brainpy.analysis.symbolic.PhasePlane method) (brainpy.base.Base method) (brainpy.base.Collector method) (brainpy.base.Function method) (brainpy.base.TensorCollector method) (brainpy.integrators.ode.adaptive_rk.AdaptiveRKIntegrator method) (brainpy.integrators.ode.adaptive_rk.BogackiShampine method) (brainpy.integrators.ode.adaptive_rk.CashKarp method) (brainpy.integrators.ode.adaptive_rk.DormandPrince method) (brainpy.integrators.ode.adaptive_rk.HeunEuler method) (brainpy.integrators.ode.adaptive_rk.RKF12 method) (brainpy.integrators.ode.adaptive_rk.RKF45 method) (brainpy.integrators.ode.explicit_rk.Euler method) (brainpy.integrators.ode.explicit_rk.ExplicitRKIntegrator method) (brainpy.integrators.ode.explicit_rk.Heun2 method) (brainpy.integrators.ode.explicit_rk.Heun3 method) (brainpy.integrators.ode.explicit_rk.MidPoint method) (brainpy.integrators.ode.explicit_rk.Ralston2 method) (brainpy.integrators.ode.explicit_rk.Ralston3 method) (brainpy.integrators.ode.explicit_rk.Ralston4 method) (brainpy.integrators.ode.explicit_rk.RK2 method) (brainpy.integrators.ode.explicit_rk.RK3 method) (brainpy.integrators.ode.explicit_rk.RK4 method) (brainpy.integrators.ode.explicit_rk.RK4Rule38 method) (brainpy.integrators.ode.explicit_rk.SSPRK3 method) (brainpy.integrators.ode.exponential.ExponentialEuler method) (brainpy.integrators.ODEIntegrator method) (brainpy.integrators.sde.Euler method) (brainpy.integrators.sde.ExponentialEuler method) (brainpy.integrators.sde.Heun method) (brainpy.integrators.sde.KlPl method) (brainpy.integrators.sde.Milstein method) (brainpy.integrators.sde.SRK1W1 method) (brainpy.integrators.sde.SRK2W1 method) (brainpy.integrators.SDEIntegrator method) (brainpy.math.jax.autograd.Grad method) (brainpy.math.jax.autograd.Jacobian method) (brainpy.math.jax.optimizers.Adadelta method) (brainpy.math.jax.optimizers.Adagrad method) (brainpy.math.jax.optimizers.Adam method) (brainpy.math.jax.optimizers.Constant method) (brainpy.math.jax.optimizers.ExponentialDecay method) (brainpy.math.jax.optimizers.InverseTimeDecay method) (brainpy.math.jax.optimizers.Momentum method) (brainpy.math.jax.optimizers.MomentumNesterov method) (brainpy.math.jax.optimizers.Optimizer method) (brainpy.math.jax.optimizers.PiecewiseConstant method) (brainpy.math.jax.optimizers.PolynomialDecay method) (brainpy.math.jax.optimizers.RMSProp method) (brainpy.math.jax.optimizers.Scheduler method) (brainpy.math.jax.optimizers.SGD method) (brainpy.math.jax.Parameter method) (brainpy.math.jax.TrainVar method) (brainpy.math.jax.Variable method) (brainpy.math.numpy.Parameter method) (brainpy.math.numpy.TrainVar method) (brainpy.math.numpy.Variable method) (brainpy.simulation.brainobjects.BrainArea method) (brainpy.simulation.brainobjects.Channel method) (brainpy.simulation.brainobjects.ConstantDelay method) (brainpy.simulation.brainobjects.Container method) (brainpy.simulation.brainobjects.Delay method) (brainpy.simulation.brainobjects.Dendrite method) (brainpy.simulation.brainobjects.DynamicalSystem method) (brainpy.simulation.brainobjects.Molecular method) (brainpy.simulation.brainobjects.Network method) (brainpy.simulation.brainobjects.NeuGroup method) (brainpy.simulation.brainobjects.PoissonInput method) (brainpy.simulation.brainobjects.Soma method) (brainpy.simulation.brainobjects.SpikeTimeInput method) (brainpy.simulation.brainobjects.TwoEndConn method) (brainpy.simulation.connect.All2All method) (brainpy.simulation.connect.Connector method) (brainpy.simulation.connect.FixedPostNum method) (brainpy.simulation.connect.FixedPreNum method) (brainpy.simulation.connect.FixedProb method) (brainpy.simulation.connect.GaussianProb method) (brainpy.simulation.connect.GridEight method) (brainpy.simulation.connect.GridFour method) (brainpy.simulation.connect.GridN method) (brainpy.simulation.connect.IJConn method) (brainpy.simulation.connect.MatConn method) (brainpy.simulation.connect.One2One method) (brainpy.simulation.connect.OneEndConnector method) (brainpy.simulation.connect.PowerLaw method) (brainpy.simulation.connect.ScaleFreeBA method) (brainpy.simulation.connect.ScaleFreeBADual method) (brainpy.simulation.connect.SmallWorld method) (brainpy.simulation.connect.TwoEndConnector method) (brainpy.simulation.initialize.DeltaOrthogonal method) (brainpy.simulation.initialize.DOGDecay method) (brainpy.simulation.initialize.GaussianDecay method) (brainpy.simulation.initialize.Identity method) (brainpy.simulation.initialize.Initializer method) (brainpy.simulation.initialize.KaimingNormal method) (brainpy.simulation.initialize.KaimingUniform method) (brainpy.simulation.initialize.LecunNormal method) (brainpy.simulation.initialize.LecunUniform method) (brainpy.simulation.initialize.Normal method) (brainpy.simulation.initialize.OneInit method) (brainpy.simulation.initialize.Orthogonal method) (brainpy.simulation.initialize.Uniform method) (brainpy.simulation.initialize.VarianceScaling method) (brainpy.simulation.initialize.XavierNormal method) (brainpy.simulation.initialize.XavierUniform method) (brainpy.simulation.initialize.ZeroInit method) (brainpy.simulation.layers.Activation method) (brainpy.simulation.layers.Conv2D method) (brainpy.simulation.layers.Dense method) (brainpy.simulation.layers.Dropout method) (brainpy.simulation.layers.GRU method) (brainpy.simulation.layers.LinearReadout method) (brainpy.simulation.layers.LSTM method) (brainpy.simulation.layers.Module method) (brainpy.simulation.layers.RNNCore method) (brainpy.simulation.layers.Sequential method) (brainpy.simulation.layers.VanillaRNN method) (brainpy.simulation.monitor.Monitor method) (brainpy.tools.DictPlus method)

A

Activation (class in brainpy.simulation.layers), [1] Adadelta (class in brainpy.math.jax.optimizers), [1] Adagrad (class in brainpy.math.jax.optimizers), [1] Adam (class in brainpy.math.jax.optimizers), [1] AdaptiveRKIntegrator (class in brainpy.integrators.ode.adaptive_rk), [1]

All2All (class in brainpy.simulation.connect), [1] animate_1D() (in module brainpy.visualization) animate_2D() (in module brainpy.visualization) assign() (brainpy.base.TensorCollector method) ast2code() (in module brainpy.tools)

B

Base (class in brainpy.base), [1] Base1DSymAnalyzer (class in brainpy.analysis.symbolic), [1] Base2DSymAnalyzer (class in brainpy.analysis.symbolic), [1] BaseSymAnalyzer (class in brainpy.analysis.symbolic), [1] Bifurcation (class in brainpy.analysis.symbolic), [1] BogackiShampine (class in brainpy.integrators.ode.adaptive_rk), [1] BrainArea (class in brainpy.simulation.brainobjects), [1] brainpy.analysis module brainpy.analysis.continuation module brainpy.analysis.numeric module brainpy.analysis.stability module brainpy.analysis.symbolic module brainpy.base module brainpy.integrators module, [1] brainpy.integrators.ode module brainpy.integrators.ode.adaptive_rk module brainpy.integrators.ode.explicit_rk module brainpy.integrators.ode.exponential module brainpy.integrators.sde module brainpy.jaxsetting module brainpy.math module, [1] brainpy.math.jax module

brainpy.math.jax.activations module brainpy.math.jax.autograd module brainpy.math.jax.controls module brainpy.math.jax.losses module brainpy.math.jax.operators module brainpy.math.jax.optimizers module brainpy.math.jax.parallels module brainpy.math.numpy module brainpy.simulation module brainpy.simulation.brainobjects module brainpy.simulation.connect module brainpy.simulation.initialize module brainpy.simulation.inputs module brainpy.simulation.layers module brainpy.simulation.measure module brainpy.simulation.monitor module brainpy.tools module brainpy.visualization module

C

CashKarp (class in brainpy.integrators.ode.adaptive_rk), [1] celu() (in module brainpy.math.jax.activations) change_func_name() (in module brainpy.tools) Channel (class in brainpy.simulation.brainobjects), [1] check_name() (in module brainpy.tools) code_lines_to_func() (in module brainpy.tools) Collector (class in brainpy.base), [1] compute_jacobians() (brainpy.analysis.numeric.FixedPointFinder method) Connector (class in brainpy.simulation.connect), [1]

Constant (class in brainpy.math.jax.optimizers), [1] constant_current() (in module brainpy.simulation.inputs) constant_input() (in module brainpy.simulation.inputs) ConstantDelay (class in brainpy.simulation.brainobjects), [1] Container (class in brainpy.simulation.brainobjects), [1] Conv2D (class in brainpy.simulation.layers), [1] copy() (brainpy.tools.DictPlus method) copy_doc() (in module brainpy.tools) cross_correlation() (in module brainpy.simulation.measure) cross_entropy_loss() (in module brainpy.math.jax.losses)

D

data() (brainpy.base.TensorCollector method) decompose_eigenvalues() (brainpy.analysis.numeric.FixedPointFinder method) deindent() (in module brainpy.tools) Delay (class in brainpy.simulation.brainobjects), [1] DeltaOrthogonal (class in brainpy.simulation.initialize), [1] Dendrite (class in brainpy.simulation.brainobjects), [1]

Dense (class in brainpy.simulation.layers), [1] dict() (brainpy.base.TensorCollector method) DictPlus (class in brainpy.tools), [1] DOGDecay (class in brainpy.simulation.initialize), [1] DormandPrince (class in brainpy.integrators.ode.adaptive_rk), [1] Dropout (class in brainpy.simulation.layers), [1] DynamicalSystem (class in brainpy.simulation.brainobjects), [1]

E

elu() (in module brainpy.math.jax.activations) enable_x64() (in module brainpy.jaxsetting) Euler (class in brainpy.integrators.ode.explicit_rk), [1] (class in brainpy.integrators.sde), [1]

exclude_outliers() (brainpy.analysis.numeric.FixedPointFinder method) ExplicitRKIntegrator (class in brainpy.integrators.ode.explicit_rk), [1] ExponentialDecay (class in brainpy.math.jax.optimizers), [1] ExponentialEuler (class in brainpy.integrators.ode.exponential), [1] (class in brainpy.integrators.sde), [1]

F

FastSlowBifurcation (class in brainpy.analysis.symbolic), [1] find_fixed_points() (brainpy.analysis.numeric.FixedPointFinder method) firing_rate() (in module brainpy.simulation.measure) FixedPointFinder (class in brainpy.analysis.numeric), [1] FixedPostNum (class in brainpy.simulation.connect), [1]

FixedPreNum (class in brainpy.simulation.connect), [1] FixedProb (class in brainpy.simulation.connect), [1] Function (class in brainpy.base), [1] function() (in module brainpy.math.jax) (in module brainpy.math.numpy)

G

GaussianDecay (class in brainpy.simulation.initialize), [1] GaussianProb (class in brainpy.simulation.connect), [1] gelu() (in module brainpy.math.jax.activations) get_1d_stability_types() (in module brainpy.analysis.stability) get_2d_stability_types() (in module brainpy.analysis.stability) get_3d_stability_types() (in module brainpy.analysis.stability) get_backend_name() (in module brainpy.math) get_default_odeint() (in module brainpy.integrators) get_default_sdeint() (in module brainpy.integrators) get_dt() (in module brainpy.math) get_f_dfdx() (brainpy.analysis.symbolic.Base1DSymAnalyzer method) get_f_dfdy() (brainpy.analysis.symbolic.Base2DSymAnalyzer method) get_f_dgdx() (brainpy.analysis.symbolic.Base2DSymAnalyzer method) get_f_dgdy() (brainpy.analysis.symbolic.Base2DSymAnalyzer method) get_f_dx() (brainpy.analysis.symbolic.Base1DSymAnalyzer method) get_f_dy() (brainpy.analysis.symbolic.Base2DSymAnalyzer method) get_f_fixed_point() (brainpy.analysis.symbolic.Base1DSymAnalyzer method) (brainpy.analysis.symbolic.Base2DSymAnalyzer method)

get_f_jacobian() (brainpy.analysis.symbolic.Base2DSymAnalyzer method) get_f_optimize_x_nullcline() (brainpy.analysis.symbolic.Base2DSymAnalyzer method) get_f_optimize_y_nullcline() (brainpy.analysis.symbolic.Base2DSymAnalyzer method) get_figure() (in module brainpy.visualization) get_func_source() (in module brainpy.tools) get_identifiers() (in module brainpy.tools) get_main_code() (in module brainpy.tools) get_name() (in module brainpy.tools) get_x_by_y_in_x_eq() (brainpy.analysis.symbolic.Base2DSymAnalyzer method) get_x_by_y_in_y_eq() (brainpy.analysis.symbolic.Base2DSymAnalyzer method) get_y_by_x_in_x_eq() (brainpy.analysis.symbolic.Base2DSymAnalyzer method) get_y_by_x_in_y_eq() (brainpy.analysis.symbolic.Base2DSymAnalyzer method) glu() (in module brainpy.math.jax.activations) Grad (class in brainpy.math.jax.autograd), [1] grad() (in module brainpy.math.jax.autograd) GridEight (class in brainpy.simulation.connect), [1] GridFour (class in brainpy.simulation.connect), [1] GridN (class in brainpy.simulation.connect), [1] GRU (class in brainpy.simulation.layers), [1]

H

hard_sigmoid() (in module brainpy.math.jax.activations) hard_silu() (in module brainpy.math.jax.activations) hard_swish() (in module brainpy.math.jax.activations) hard_tanh() (in module brainpy.math.jax.activations) hessian() (in module brainpy.math.jax.autograd)

Heun (class in brainpy.integrators.sde), [1] Heun2 (class in brainpy.integrators.ode.explicit_rk), [1] Heun3 (class in brainpy.integrators.ode.explicit_rk), [1] HeunEuler (class in brainpy.integrators.ode.adaptive_rk), [1] huber_loss() (in module brainpy.math.jax.losses)

I

Identity (class in brainpy.simulation.initialize), [1] ij2mat() (in module brainpy.simulation.connect) IJConn (class in brainpy.simulation.connect), [1] implicit_nodes (brainpy.base.Base attribute) implicit_vars (brainpy.base.Base attribute)

indent() (in module brainpy.tools) Initializer (class in brainpy.simulation.initialize), [1] ints() (brainpy.base.Base method) InverseTimeDecay (class in brainpy.math.jax.optimizers), [1] is_lambda_function() (in module brainpy.tools)

J

jacfwd() (in module brainpy.math.jax.autograd) Jacobian (class in brainpy.math.jax.autograd), [1] jacobian() (in module brainpy.math.jax.autograd)

jacrev() (in module brainpy.math.jax.autograd) jit() (in module brainpy.math.jax) (in module brainpy.math.numpy)

K

KaimingNormal (class in brainpy.simulation.initialize), [1] KaimingUniform (class in brainpy.simulation.initialize), [1]

keep_unique() (brainpy.analysis.numeric.FixedPointFinder method) KlPl (class in brainpy.integrators.sde), [1]

L

l1_loos() (in module brainpy.math.jax.losses) l2_loss() (in module brainpy.math.jax.losses) l2_norm() (in module brainpy.math.jax.losses) leaky_relu() (in module brainpy.math.jax.activations) LecunNormal (class in brainpy.simulation.initialize), [1] LecunUniform (class in brainpy.simulation.initialize), [1] line_plot() (in module brainpy.visualization) LinearReadout (class in brainpy.simulation.layers), [1]

load_h5() (in module brainpy.base) load_mat() (in module brainpy.base) load_npz() (in module brainpy.base) load_pkl() (in module brainpy.base) load_states() (brainpy.base.Base method) log_sigmoid() (in module brainpy.math.jax.activations) log_softmax() (in module brainpy.math.jax.activations) LSTM (class in brainpy.simulation.layers), [1]

M

make_cond() (in module brainpy.math.jax.controls) make_loop() (in module brainpy.math.jax.controls) make_schedule() (in module brainpy.math.jax.optimizers) make_while() (in module brainpy.math.jax.controls) mat2ij() (in module brainpy.simulation.connect) MatConn (class in brainpy.simulation.connect), [1] mean_absolute_error() (in module brainpy.math.jax.losses) mean_squared_error() (in module brainpy.math.jax.losses) mean_squared_log_error() (in module brainpy.math.jax.losses) MidPoint (class in brainpy.integrators.ode.explicit_rk), [1] Milstein (class in brainpy.integrators.sde), [1] module brainpy.analysis brainpy.analysis.continuation brainpy.analysis.numeric brainpy.analysis.stability brainpy.analysis.symbolic brainpy.base brainpy.integrators, [1] brainpy.integrators.ode brainpy.integrators.ode.adaptive_rk brainpy.integrators.ode.explicit_rk brainpy.integrators.ode.exponential brainpy.integrators.sde brainpy.jaxsetting brainpy.math, [1] brainpy.math.jax brainpy.math.jax.activations brainpy.math.jax.autograd brainpy.math.jax.controls brainpy.math.jax.losses brainpy.math.jax.operators brainpy.math.jax.optimizers brainpy.math.jax.parallels brainpy.math.numpy brainpy.simulation brainpy.simulation.brainobjects brainpy.simulation.connect brainpy.simulation.initialize brainpy.simulation.inputs brainpy.simulation.layers brainpy.simulation.measure brainpy.simulation.monitor brainpy.tools brainpy.visualization

Module (class in brainpy.simulation.layers), [1] Molecular (class in brainpy.simulation.brainobjects), [1] Momentum (class in brainpy.math.jax.optimizers), [1] MomentumNesterov (class in brainpy.math.jax.optimizers), [1] Monitor (class in brainpy.simulation.monitor), [1]

N

Network (class in brainpy.simulation.brainobjects), [1] NeuGroup (class in brainpy.simulation.brainobjects), [1]

nodes() (brainpy.base.Base method) Normal (class in brainpy.simulation.initialize), [1] normalize() (in module brainpy.math.jax.activations)

O

odeint() (in module brainpy.integrators) ODEIntegrator (class in brainpy.integrators), [1] One2One (class in brainpy.simulation.connect), [1] one_hot() (in module brainpy.math.jax.activations)

OneEndConnector (class in brainpy.simulation.connect), [1] OneInit (class in brainpy.simulation.initialize), [1] optimize_fixed_points() (brainpy.analysis.numeric.FixedPointFinder method) Optimizer (class in brainpy.math.jax.optimizers), [1] Orthogonal (class in brainpy.simulation.initialize), [1]

P

Parameter (class in brainpy.math.jax) (class in brainpy.math.numpy) PhasePlane (class in brainpy.analysis.symbolic), [1] PiecewiseConstant (class in brainpy.math.jax.optimizers), [1] plot_bifurcation() (brainpy.analysis.symbolic.Bifurcation method) (brainpy.analysis.symbolic.FastSlowBifurcation method) plot_fixed_point() (brainpy.analysis.symbolic.PhasePlane method) plot_limit_cycle_by_sim() (brainpy.analysis.symbolic.Bifurcation method) (brainpy.analysis.symbolic.FastSlowBifurcation method) (brainpy.analysis.symbolic.PhasePlane method) plot_nullcline() (brainpy.analysis.symbolic.PhasePlane method) plot_style1() (in module brainpy.visualization) plot_trajectory() (brainpy.analysis.symbolic.FastSlowBifurcation method) (brainpy.analysis.symbolic.PhasePlane method)

plot_vector_field() (brainpy.analysis.symbolic.PhasePlane method) pmap() (in module brainpy.math.jax.parallels) PoissonInput (class in brainpy.simulation.brainobjects), [1] PolynomialDecay (class in brainpy.math.jax.optimizers), [1] post2pre() (in module brainpy.simulation.connect) post2syn() (in module brainpy.simulation.connect) post_slice() (in module brainpy.simulation.connect) PowerLaw (class in brainpy.simulation.connect), [1] pre2post() (in module brainpy.simulation.connect) pre2syn() (in module brainpy.math.jax.operators) (in module brainpy.simulation.connect) pre_slice() (in module brainpy.simulation.connect)

R

Ralston2 (class in brainpy.integrators.ode.explicit_rk), [1] Ralston3 (class in brainpy.integrators.ode.explicit_rk), [1] Ralston4 (class in brainpy.integrators.ode.explicit_rk), [1] ramp_current() (in module brainpy.simulation.inputs) ramp_input() (in module brainpy.simulation.inputs) raster_plot() (in module brainpy.simulation.measure) (in module brainpy.visualization) register_constant_delay() (brainpy.simulation.brainobjects.DynamicalSystem method) relu() (in module brainpy.math.jax.activations) relu6() (in module brainpy.math.jax.activations) replace() (brainpy.base.Collector method)

replicate() (brainpy.base.TensorCollector method) reset() (brainpy.simulation.brainobjects.ConstantDelay method) RK2 (class in brainpy.integrators.ode.explicit_rk), [1] RK3 (class in brainpy.integrators.ode.explicit_rk), [1] RK4 (class in brainpy.integrators.ode.explicit_rk), [1] RK4Rule38 (class in brainpy.integrators.ode.explicit_rk), [1] RKF12 (class in brainpy.integrators.ode.adaptive_rk), [1] RKF45 (class in brainpy.integrators.ode.adaptive_rk), [1] RMSProp (class in brainpy.math.jax.optimizers), [1] RNNCore (class in brainpy.simulation.layers), [1] run() (brainpy.simulation.brainobjects.DynamicalSystem method)

S

save_h5() (in module brainpy.base) save_mat() (in module brainpy.base) save_npz() (in module brainpy.base) save_pkl() (in module brainpy.base) save_states() (brainpy.base.Base method) ScaleFreeBA (class in brainpy.simulation.connect), [1] ScaleFreeBADual (class in brainpy.simulation.connect), [1] Scheduler (class in brainpy.math.jax.optimizers), [1] sdeint() (in module brainpy.integrators) SDEIntegrator (class in brainpy.integrators), [1] section_input() (in module brainpy.simulation.inputs) segment_max() (in module brainpy.math.jax.operators) segment_min() (in module brainpy.math.jax.operators) segment_prod() (in module brainpy.math.jax.operators) segment_sum() (in module brainpy.math.jax.operators) selu() (in module brainpy.math.jax.activations) Sequential (class in brainpy.simulation.layers), [1] set_complex_() (in module brainpy.math) set_default_odeint() (in module brainpy.integrators) set_default_sdeint() (in module brainpy.integrators) set_dt() (in module brainpy.math) set_float_() (in module brainpy.math) set_host_device_count() (in module brainpy.jaxsetting)

set_int_() (in module brainpy.math) set_platform() (in module brainpy.jaxsetting) setdefault() (brainpy.tools.DictPlus method) SGD (class in brainpy.math.jax.optimizers), [1] sigmoid() (in module brainpy.math.jax.activations) silu() (in module brainpy.math.jax.activations) size2num() (in module brainpy.tools) SmallWorld (class in brainpy.simulation.connect), [1] soft_sign() (in module brainpy.math.jax.activations) softmax() (in module brainpy.math.jax.activations) softplus() (in module brainpy.math.jax.activations) Soma (class in brainpy.simulation.brainobjects), [1] speed_tolerance_filter() (brainpy.analysis.numeric.FixedPointFinder method) spike_current() (in module brainpy.simulation.inputs) spike_input() (in module brainpy.simulation.inputs) SpikeTimeInput (class in brainpy.simulation.brainobjects), [1] SRK1W1 (class in brainpy.integrators.sde), [1] SRK2W1 (class in brainpy.integrators.sde), [1] SSPRK3 (class in brainpy.integrators.ode.explicit_rk), [1] stability_analysis() (in module brainpy.analysis.stability) subset() (brainpy.base.Collector method) swish() (in module brainpy.math.jax.activations) syn2post() (in module brainpy.math.jax.operators)

T

target_backend (brainpy.base.Base attribute) (brainpy.math.jax.optimizers.Optimizer attribute) (brainpy.simulation.layers.Module attribute) TensorCollector (class in brainpy.base), [1]

train_vars() (brainpy.base.Base method) TrainVar (class in brainpy.math.jax) (class in brainpy.math.numpy) TwoEndConn (class in brainpy.simulation.brainobjects), [1] TwoEndConnector (class in brainpy.simulation.connect), [1]

U

Uniform (class in brainpy.simulation.initialize), [1] unique() (brainpy.base.Collector method) unique_name() (brainpy.base.Base method) update() (brainpy.base.Collector method) (brainpy.simulation.brainobjects.ConstantDelay method) (brainpy.simulation.brainobjects.Container method) (brainpy.simulation.brainobjects.Delay method) (brainpy.simulation.brainobjects.DynamicalSystem method) (brainpy.simulation.brainobjects.NeuGroup method) (brainpy.simulation.brainobjects.PoissonInput method) (brainpy.simulation.brainobjects.SpikeTimeInput method) (brainpy.simulation.layers.Activation method) (brainpy.simulation.layers.Conv2D method) (brainpy.simulation.layers.Dense method) (brainpy.simulation.layers.Dropout method) (brainpy.simulation.layers.GRU method) (brainpy.simulation.layers.LinearReadout method) (brainpy.simulation.layers.LSTM method) (brainpy.simulation.layers.RNNCore method) (brainpy.simulation.layers.Sequential method) (brainpy.simulation.layers.VanillaRNN method) (brainpy.tools.DictPlus method)

use_backend() (in module brainpy.math)

V

VanillaRNN (class in brainpy.simulation.layers), [1] Variable (class in brainpy.math.jax) (class in brainpy.math.numpy)

VarianceScaling (class in brainpy.simulation.initialize), [1] vars() (brainpy.base.Base method) vmap() (in module brainpy.math.jax.parallels) voltage_fluctuation() (in module brainpy.simulation.measure)

W

word_replace() (in module brainpy.tools)

X

XavierNormal (class in brainpy.simulation.initialize), [1]

XavierUniform (class in brainpy.simulation.initialize), [1]

Z

ZeroInit (class in brainpy.simulation.initialize), [1]