In the biological nervous system, the integration and cooperation of parallel system of
receptors, neurons, and synapses allow efficient detection and processing of intricate and …

Learning and memory rely on synapses changing their strengths in response to neural
activity. However, there is a substantial gap between the timescales of neural electrical …

Whether, when, and how causal interactions between neurons can be meaningfully studied
from observations of neural activity alone are vital questions in neural data analysis. Here …

Understanding learning through synaptic plasticity rules in the brain is a grand challenge for
neuroscience. Here we introduce a novel computational framework for inferring plasticity …

Finding the form of synaptic plasticity is critical to understanding its functions underlying
learning and memory. We investigated an efficient method to infer synaptic plasticity rules in …

Many controlled in vitro studies have demonstrated how postsynaptic responses to
presynaptic spikes are not constant but depend on short-term synaptic plasticity (STP) and …

In many areas of the brain, neural spiking activity covaries with features of the external
world, such as sensory stimuli or an animal's movement. Experimental findings suggest that …

Neuroscience is now entering an exciting new age. Modern recording technologies, such as
high-density silicon probes and large-scale calcium imaging methods, allow us to measure …

In awake animal, the firing activity of individual neurons can vary over time due to external
stimuli, the animal's behavior, and the internal state of the network. These changes create …