Browse the search results

Dopamine, a reward signal in the brain, can retroactively convert hippocampal synaptic depression into potentiation, suggesting an elegant biological solution to the distal reward problem.

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

anTraX is an algorithm and software package that facilitates automated analyses of insect social behavior in species and experimental settings that are not accessible with currently existing technology.

Simulations of molecular dynamics suggest how the binding of the β-grasp domain of SUMO1 induces conformational and dynamic effects to activate SENP1.

By properly accounting for gene copy number and cell-cycle effects, single cell snapshots of nascent and mature mRNA can be used to unveil the stochastic kinetics of gene activity.

A proposal for a complete cellular/network implementation of trial-and-error motor learning in the olivo-cerebellar system.

The time it takes to secrete a protein is dominated by diffusion of positively charged arginines through the channel across the membrane, but lysines avoid this problem as they are neutralised before transport.

Emergent property inference, a novel machine learning methodology, learns distributions of neural circuit model parameters that produce computational properties and provides novel scientific insight through the quantification of the rich parametric structure it captures.

Increasing awareness that many causal links in biology might be bi-directional could overcome biases and improve scientific reasoning.

The proposed method deciphers which low-level patterns (such as spikes) control high-level features (behavior) in relative small biological datasets, taking into account the statistical dependencies between such patterns.