Optimization Principles for the Neural Code

It is important to note that although observation times are scaled, the intensity function at an actual spike time (t?) and at its canonical, rescaled time (t) ...







Low-latency extracellular spike assignment for high-density ...
When a neuron is presented successively with similar volleys of input spikes STDP is known to have the effect of concentrating synaptic weights ...
Nanoscale Memristor-Based Spike Timing-Dependent Plasticity ...
Abstract. We introduce a new supervised learning algorithm based to train spiking neu- ral networks for classification.
Neural Network Poisson Models for Behavioural and Neural Spike ...
Recent analysis of the neuronal spike trains in the lateral geniculate nucleus suggests that the information from the retina to the visual cortex may be ...
The frequency dependence of spike timing reliability in cortical ...
We present a minimal spiking network that can polychronize, that is, exhibit reproducible time-locked but not synchronous firing patterns.
Polychronization: Computation with Spikes
This is a preliminary thesis on Temporal Difference Spike-Timing De- pendent Plasticity (TDSTDP), a variation of STDP that considers den- dritic ...
Oscillation-Driven Spike-Timing Dependent Plasticity Allows ...
The pattern-generated spikes are represented by red dots while the background-generated spikes are in black. ... Hofer and T. D. Mrsic-Flogel, The ...
Spike-Timing-Dependent Hebbian Plasticity as Temporal Difference ...
A spike-timing-dependent Hebbian mechanism governs the plasticity of recurrent excitatory synapses in the neocortex: synapses that are ac-.
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