New technologies in neuroscience generate reams of data at an exponentially increasing
rate, spurring the design of very-large-scale data-mining initiatives. Several supranational …

Highlights•Artificial and biological neural networks can be analyzed using similar
methods.•Neural analysis has revealed similarities between the representations in artificial …

Synaptic plasticity is believed to be a key physiological mechanism for learning. It is well
established that it depends on pre-and postsynaptic activity. However, models that rely …

Biophysical modeling of neuronal networks helps to integrate and interpret rapidly growing
and disparate experimental datasets at multiple scales. The NetPyNE tool (www. netpyne …

Connectivity map** based on resting-state activity in mice has revealed functional motifs
of correlated activity. However, the rules by which motifs organize into larger functional …

The basal ganglia play an important role in decision making and selection of action primarily
based on input from cortex, thalamus, and the dopamine system. Their main input structure …

Electrical recordings from a large array of electrodes give us access to neural population
activity with single-cell, single-spike resolution. These recordings contain extracellular …

The brain extracts behaviourally relevant sensory input to produce appropriate motor output.
On the one hand, our constantly changing environment requires this transformation to be …

We present detailed models of pyramidal cells from human neocortex, including models on
their excitatory synapses, dendritic spines, dendritic NMDA-and somatic/axonal Na+ spikes …

This review article gives a high-level overview of the approaches across different scales of
organization and levels of abstraction. The studies covered in this paper include …