Learning through activity-dependent plasticity modulation

Reinforcement Learning Through Modulation of Spike-Timing-Dependent Synaptic Plasticity

The persistent modification of synaptic efficacy as a function of the relative timing of pre- and postsynaptic spikes is a phenomenon known as spike-timing-dependent plasticity (STDP). Here we show that the modulation of STDP by a global reward signal leads to reinforcement learning. We first derive analytically learning rules involving reward-modulated spike-timing-dependent synaptic and intri...

Unsupervised Learning of Visual Features through Spike Timing Dependent Plasticity

Spike timing dependent plasticity (STDP) is a learning rule that modifies synaptic strength as a function of the relative timing of pre- and postsynaptic spikes. When a neuron is repeatedly presented with similar inputs, STDP is known to have the effect of concentrating high synaptic weights on afferents that systematically fire early, while postsynaptic spike latencies decrease. Here we use th...

Homeostasis and Learning through Spike-timing Dependent Plasticity

Learning cross-modal spatial transformations through spike timing-dependent plasticity.

A common problem in tasks involving the integration of spatial information from multiple senses, or in sensorimotor coordination, is that different modalities represent space in different frames of reference. Coordinate transformations between different reference frames are therefore required. One way to achieve this relies on the encoding of spatial information with population codes. The set o...

Unsupervised Learning of Head Pose through Spike-Timing Dependent Plasticity

We present a biologically inspired model for learning prototypical representations of head poses. The model employs populations of integrate-and-fire neurons and operates in the temporal domain. Timesto-first spike (latencies) are used to develop a rank-order code, which is invariant to global contrast and brightness changes. Our model consists of 3 layers. In the first layer, populations of Ga...