Salvador Durá-Bernal

The paper identifies corticospinal neuron subpopulations with opposing activity dynamics and shows they converge to shape spinal interneuron computations during skilled movement.

The paper shows how recording geometry affects the representation of cortical activity through biophysical modeling and experimental recordings.

The paper identifies the electrophysiological mechanism of intrinsic oscillations in rat geniculate interneurons through pharmacological and computational analyses.

This paper evaluates the universality and reliability of a spectrolaminar motif in primate neocortex, finding it not universal and methods unreliable.

The paper develops a biophysical model of the mouse thalamocortical circuit to show that closed-loop connectivity best reproduces thalamic activity during wakefulness and sleep.

The paper simulates mouse primary motor cortex activity and finds self-organized, self-sustained avalanches with power-law distributions in size and duration.

The paper describes the NeuroML ecosystem, a standardized framework for multi-scale neuroscience modeling that promotes interoperability and FAIR principles in research workflows.

The paper presents a model-driven meta-analysis showing inhibitory neurons dominate BOLD-fMRI responses, with excitatory neurons contributing less than 20%.

The paper develops a biophysically detailed model of macaque auditory circuits that reproduces in vivo dynamics and physiological oscillations.

This paper investigates how slow potassium and calcium currents influence spike-to-burst firing transitions in cortical neurons, revealing bistable dynamics and potential pharmacological targets for treating epilepsy.

The paper implements a detailed rat somatosensory thalamocortical circuit model in NetPyNE, preserving original cell types, connectivity, and physiological properties.

The paper modernizes the NEURON simulator to improve sustainability, portability, and performance through new tools and optimizations.

This paper trains spiking neuronal network models to play a virtual racket-ball game using reinforcement learning and evaluates different circuit architectures and learning rules.

The paper develops a computational model of the spinal dorsal horn to study how chronic pain alters neural processing.

The paper develops a multiscale model of mouse primary motor cortex to predict cell type-specific, behavior-dependent neural dynamics.

The paper investigates how HCN and TASK-like channels affect dendritic impedance in layer 5 pyramidal neurons, finding that their combination best matches experimental impedance profiles.

The paper records glutamate-mediated dendritic plateau potentials in rat cortical pyramidal neurons and uses a model to show these potentials alter neuronal state, increasing excitability and enabling rapid response to subsequent inputs.

The paper quantifies and classifies multi-cycle oscillation events in primate auditory cortex, revealing non-constant frequency and amplitude characteristics across frequency bands.

The paper introduces the SONATA data format to efficiently describe large-scale network models in neuroscience, enabling model construction, simulation, and sharing.

The paper develops a multiscale biophysically detailed model of mouse primary motor cortex to study information flow and dynamics across cell types and frequencies.

Open Source Brain provides a platform for visualizing, simulating, and collaboratively developing standardized neuronal and circuit models to improve model transparency and reproducibility.

NetPyNE is a tool for creating multiscale neuronal network models in NEURON using declarative specifications, enabling efficient simulation and analysis of brain circuits.