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Classes in mosaic.sim.neuron used by mosaic.sim.neuronActiveVariable
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This class implements an active variable that has support for sending out VariableChangeEvents and for sending itself a TimeEvent, therefore being an active variable container. Neuron
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This class represents a neuron, which is able to fire spike events (thus it implements the NeuronOutput interface) and receive spikes indirectly via Synapses. NeuronInput
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This Interface specifies the capability of an object to act like an input of a neuron, i.e. the ability to receive spike events. NeuronOutput
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This interface specifies the capability of an object to act like the output part of a neuron, i.e. the ability to send spike events. NeuronOutputSupport
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This is a helper class for objects that want to emit spike events. PLFunction
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This class represents a piecewise linear mathematical function in a finite timeframe with a finite number of linear segments. PLFunction.FloatIntPair
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Aargh ! PLSynapse
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This class represents synapses with piecewise linear response functions. PLThreshold
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This class implements a threshold with piecewise linear functions. Potential
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This class represent the potential of a neuron. Synapse
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This class represents synapses, which are the connections between neurons. Synapse.LearningMethod
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This interface is used for external learning algorithms that are non-local to the synapse. Threshold
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This class represents a Neuron threshold. |
Classes in mosaic.sim.neuron used by mosaic.sim.neuron.examplesNeuron
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This class represents a neuron, which is able to fire spike events (thus it implements the NeuronOutput interface) and receive spikes indirectly via Synapses. |
Classes in mosaic.sim.neuron used by mosaic.sim.neuron.netinputsActiveVariable
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This class implements an active variable that has support for sending out VariableChangeEvents and for sending itself a TimeEvent, therefore being an active variable container. CodingException
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This class represents an exception with the used spike coding. NeuronOutput
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This interface specifies the capability of an object to act like the output part of a neuron, i.e. the ability to send spike events. NeuronOutputSupport
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This is a helper class for objects that want to emit spike events. |
Classes in mosaic.sim.neuron used by mosaic.sim.neuron.netoutputsNeuronInput
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This Interface specifies the capability of an object to act like an input of a neuron, i.e. the ability to receive spike events. NeuronOutput
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This interface specifies the capability of an object to act like the output part of a neuron, i.e. the ability to send spike events. |
Classes in mosaic.sim.neuron used by mosaic.sim.neuron.simulationsNeuron
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This class represents a neuron, which is able to fire spike events (thus it implements the NeuronOutput interface) and receive spikes indirectly via Synapses. NeuronOutput
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This interface specifies the capability of an object to act like the output part of a neuron, i.e. the ability to send spike events. PLFunction
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This class represents a piecewise linear mathematical function in a finite timeframe with a finite number of linear segments. Synapse
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This class represents synapses, which are the connections between neurons. Synapse.LearningMethod
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This interface is used for external learning algorithms that are non-local to the synapse. |
Classes in mosaic.sim.neuron used by mosaic.sim.neuron.simulations.genesisNeuron
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This class represents a neuron, which is able to fire spike events (thus it implements the NeuronOutput interface) and receive spikes indirectly via Synapses. |
Classes in mosaic.sim.neuron used by mosaic.sim.neuron.visualisationNeuronInput
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This Interface specifies the capability of an object to act like an input of a neuron, i.e. the ability to receive spike events. NeuronOutput
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This interface specifies the capability of an object to act like the output part of a neuron, i.e. the ability to send spike events. PLPotential
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This class represents a neuron potential described by a piecewise linear mathematical function. PLThreshold
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This class implements a threshold with piecewise linear functions. |
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