<p>(<b>A</b>) Both domains (STS and LTS) arise from a bifurcation (see main text and <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1003307#pcbi.1003307.s001" target="_blank">Text S1</a>) between two stable fixed point domains (continuous lines). Depending on the input, weights either continuously grow (control and STS-domain) or suddenly jump to a high value (LTS-domain). Between both domains there is a transition range (dashed line). Blue dots show results from numerical simulations (<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1003307#pcbi-1003307-g001" target="_blank">Figure 1</a>), which match the analytical curve. (<b>B</b>) Fixed points are defined by the intersection between ...
Memory storage in the brain relies on mechanisms acting on time scales from minutes, for long-term s...
Spike-timing-dependent plasticity (STDP) modifies the weight (or strength) of synaptic connections b...
<p>(<b>A</b>) The network consists of a square grid of units with periodic boundary conditions in b...
Synaptic plasticity is a crucial neuronal mechanism for learning and memory. It allows synapses to c...
<p><b>A.</b> When the baseline firing rates of the two neurons are the same (20 Hz), synapses that h...
Synaptic plasticity is a crucial neuronal mechanism for learning and memory. It allows synapses to c...
Memory storage in the brain relies on mechanisms acting on time scales from minutes, for long-term s...
Memory storage in the brain relies on mechanisms acting on time scales from minutes, for long-term s...
<p>(<b>A</b>) The global activation signal (, ) induces the recovery of those synaptic weights which...
<p><b>(A)</b> Evolution of synaptic weights in the network during plasticity. After each batch of le...
Memory storage in the brain relies on mechanisms acting on time scales from minutes, for long-term s...
Conventional synaptic plasticity in combination with synaptic scaling is a biologically plausible pl...
Conventional synaptic plasticity in combination with synaptic scaling is a biologically plausible pl...
Conventional synaptic plasticity in combination with synaptic scaling is a biologically plausible pl...
<div><p>Memory storage in the brain relies on mechanisms acting on time scales from minutes, for lon...
Memory storage in the brain relies on mechanisms acting on time scales from minutes, for long-term s...
Spike-timing-dependent plasticity (STDP) modifies the weight (or strength) of synaptic connections b...
<p>(<b>A</b>) The network consists of a square grid of units with periodic boundary conditions in b...
Synaptic plasticity is a crucial neuronal mechanism for learning and memory. It allows synapses to c...
<p><b>A.</b> When the baseline firing rates of the two neurons are the same (20 Hz), synapses that h...
Synaptic plasticity is a crucial neuronal mechanism for learning and memory. It allows synapses to c...
Memory storage in the brain relies on mechanisms acting on time scales from minutes, for long-term s...
Memory storage in the brain relies on mechanisms acting on time scales from minutes, for long-term s...
<p>(<b>A</b>) The global activation signal (, ) induces the recovery of those synaptic weights which...
<p><b>(A)</b> Evolution of synaptic weights in the network during plasticity. After each batch of le...
Memory storage in the brain relies on mechanisms acting on time scales from minutes, for long-term s...
Conventional synaptic plasticity in combination with synaptic scaling is a biologically plausible pl...
Conventional synaptic plasticity in combination with synaptic scaling is a biologically plausible pl...
Conventional synaptic plasticity in combination with synaptic scaling is a biologically plausible pl...
<div><p>Memory storage in the brain relies on mechanisms acting on time scales from minutes, for lon...
Memory storage in the brain relies on mechanisms acting on time scales from minutes, for long-term s...
Spike-timing-dependent plasticity (STDP) modifies the weight (or strength) of synaptic connections b...
<p>(<b>A</b>) The network consists of a square grid of units with periodic boundary conditions in b...