Information in a computer is quantified by the number of bits that can be stored and
recovered. An important question about the brain is how much information can be stored at a …

Short-term synaptic plasticity is highly diverse across brain area, cortical layer, cell type, and
developmental stage. Since short-term plasticity (STP) strongly shapes neural dynamics, this …

The information processing abilities of neural circuits arise from their synaptic connection
patterns. Understanding the laws governing these connectivity patterns is essential for …

Neural associative networks with plastic synapses have been proposed as computational
models of brain functions and also for applications such as pattern recognition and …

Recent work has shown that functional connectivity among cortical neurons is highly varied,
with a small percentage of neurons having many more connections than others. Also, recent …

We provide a functional measure, the synaptic information efficacy (SIE), to assess the
impact of synaptic input on spike output. SIE is the mutual information shared by the …

What fundamental properties of synaptic connectivity in the neocortex stem from the ongoing
dynamics of synaptic changes? In this study, we seek to find the rules shaping the stationary …

Large-scale neuromorphic hardware systems typically bear the trade-off between detail
level and required chip resources. Especially when implementing spike-timing dependent …

Long-term, repeated measurements of individual synaptic properties have revealed that
synapses can undergo significant directed and spontaneous changes over time scales of …

The performance of complex networks, like the brain, depends on how effectively their
elements communicate. Despite the importance of communication, it is virtually unknown …