Many studies have shown that the excitation and inhibition received by cortical neurons
remain roughly balanced across many conditions. A key question for understanding the …

The idea that there is a fundamental cortical circuit that performs canonical computations
remains compelling though far from proven. Here we review evidence for two canonical …

In the neocortex, neural activity is shaped by the interaction of excitatory and inhibitory
neurons, defined by the organization of their synaptic connections. Although connections …

Many theories of brain function propose that activity in sparse subsets of neurons underlies
perception and action. To place a lower bound on the amount of neural activity that can be …

Optogenetics allows manipulations of genetically and spatially defined neuronal populations
with excellent temporal control. However, neurons are coupled with other neurons over …

Recent anatomical and functional characterization of cortical inhibitory interneurons has
highlighted the diverse computations supported by different subtypes of interneurons …

Models of cortical dynamics often assume a homogeneous connectivity structure. However,
we show that heterogeneous input connectivity can prevent the dynamic balance between …

Modern Machine learning techniques take advantage of the exponentially rising calculation
power in new generation processor units. Thus, the number of parameters which are trained …

GABAergic interneurons can be subdivided into three subclasses: parvalbumin positive
(PV), somatostatin positive (SOM) and serotonin positive neurons. With principal cells (PCs) …

Learning can involve formation of new synapses and loss of synapses, providing memory
traces of learned skills. Recent findings suggest that these synapse rearrangements reflect …