SpikeInterface is an open-source software framework designed to build full analysis pipelines for extracellular recordings in a seamless and reproducible way.

A spike sorting toolbox to quickly and reliably access the activity of thousands of neurons recorded with dense extracellular probes.

Ten popular spike sorting codes are reproducibly benchmarked for accuracy on electrophysiology datasets from eleven laboratories with interactive web-based exploration of thousands of ground-truth units.

A novel technology for recording muscle activity provides unprecedented access to the electrical signals that control the body across muscles, species, and behaviors.

Spike frequency adaptation provides spiking neural networks with long short-term memory.

Single-neuron spikes in a network model of the turtle cortex trigger reliable, yet flexible sequences of activity through a sparse backbone of strong synaptic connections.

Computer simulations explore the experimentally unknown S-protein structures, revealing novel drug binding sites.

Aberrant striatal signaling does not induce drastic changes in the spontaneous discharge rate and pattern of the striatal projection neurons in Parkinson’s disease and Dystonia.

Discrepancies between functional responses measured with electrophysiology and calcium imaging can be largely reconciled by considering the spike-to-calcium transfer function, neuronal sampling bias, and cluster merging artifacts during spike sorting.

WaveMAP is a novel approach that combines nonlinear dimensionality reduction with graph clustering on extracellular waveforms to reveal previously obscured cell type diversity in monkey cortex.