Julian Bartram

This study shows that structured firing sequences emerge in human and murine brain organoids and neonatal brain slices, suggesting innate rather than experience-dependent neural coding.

The paper shows that axonal propagation speeds in the human retina adjust to compensate for differences in axon length, ensuring synchronized action potential arrival times at the optic disc.

RT-Sort detects and sorts action potentials in real time with millisecond latencies using propagation patterns and a convolutional neural network.

This paper introduces an ensemble artificial neural network (eANN) to improve neuronal connectivity inference from spike trains, showing it outperforms existing methods across different dynamical regimes.

The paper develops an experimental platform to analyze excitatory and inhibitory synaptic inputs in neurons and finds that spiking coincides with rapid changes in the E/I ratio.

This paper introduces a multi-modal fitting framework combining patch-clamp and HD-MEA data to build more accurate multicompartment neuron models.

The paper introduces a method to identify monosynaptic connections using dendritic spine Ca2+ imaging and extracellular spiking recordings, validated with simulations.

This study shows that motor cortex modulates somatosensory processing through a cortico-thalamo-cortical pathway, with thalamic circuits playing a key role in tactile suppression.