doi: 10.3389/fnins.2012.00090 Is a 4-bit synaptic weight resolution enough? – constraints on enabling spike-timing dependent plasticity in neuromorphic hardwar
www.elsevier.com/locate/neucom Spike-timing-dependent synaptic plasticity: from single spikes to spi...
Synaptic plasticity is sensitive to both the rate and the timing of pre- and postsynaptic spikes. In...
AbstractSpike timing dependent plasticity (STDP) forms the basis of learning within neural networks....
Large-scale neuromorphic hardware systems typically bear the trade-off be-tween detail level and requ...
Large-scale neuromorphic hardware systems typically bear the trade-off between detail level and requ...
Abstract. Spike-timing-dependent plasticity (STDP) strengthens synapses that are activated immediate...
In computational neuroscience, synaptic plasticity learning rules are typically studied using the f...
Spike-Timing-Dependent Plasticity (STDP) is a bio-inspired local incremental weight update rule comm...
Spike-Timing Dependent Plasticity (STDP) is believed to play an important role in learning and the f...
We present a neuromorphic implementation of multiple synaptic plasticity learning rules, which inclu...
Copyright © 2012 S. Fernando and K. Yamada. This is an open access article distributed under the Cre...
Spike-timing-dependent plasticity (STDP) modifies the weight (or strength) of synaptic connections b...
We studied the hypothesis that synaptic dynamics is controlled by three basic principles: (A) Synaps...
Experimental studies have observed synaptic potentiation when a presynaptic neuron fires shortly bef...
For that reason, designers of neuromorphic hardware often include auxiliary parameters which allow t...
www.elsevier.com/locate/neucom Spike-timing-dependent synaptic plasticity: from single spikes to spi...
Synaptic plasticity is sensitive to both the rate and the timing of pre- and postsynaptic spikes. In...
AbstractSpike timing dependent plasticity (STDP) forms the basis of learning within neural networks....
Large-scale neuromorphic hardware systems typically bear the trade-off be-tween detail level and requ...
Large-scale neuromorphic hardware systems typically bear the trade-off between detail level and requ...
Abstract. Spike-timing-dependent plasticity (STDP) strengthens synapses that are activated immediate...
In computational neuroscience, synaptic plasticity learning rules are typically studied using the f...
Spike-Timing-Dependent Plasticity (STDP) is a bio-inspired local incremental weight update rule comm...
Spike-Timing Dependent Plasticity (STDP) is believed to play an important role in learning and the f...
We present a neuromorphic implementation of multiple synaptic plasticity learning rules, which inclu...
Copyright © 2012 S. Fernando and K. Yamada. This is an open access article distributed under the Cre...
Spike-timing-dependent plasticity (STDP) modifies the weight (or strength) of synaptic connections b...
We studied the hypothesis that synaptic dynamics is controlled by three basic principles: (A) Synaps...
Experimental studies have observed synaptic potentiation when a presynaptic neuron fires shortly bef...
For that reason, designers of neuromorphic hardware often include auxiliary parameters which allow t...
www.elsevier.com/locate/neucom Spike-timing-dependent synaptic plasticity: from single spikes to spi...
Synaptic plasticity is sensitive to both the rate and the timing of pre- and postsynaptic spikes. In...
AbstractSpike timing dependent plasticity (STDP) forms the basis of learning within neural networks....
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