Tjitse van der Molen

SpikeLab is a text-to-analysis framework for neural spike data that ensures correct and reproducible results using agentic systems, outperforming other models in a controlled benchmark.

The paper develops a recurrent neural network model to explain chronic pain development and recovery, showing that calming stimuli can reduce pain without pharmacological intervention.

This study uses mouse forebrain organoids to show how variations in cellular composition influence the self-organization of neural circuits, revealing intrinsic principles of forebrain circuit assembly.

This study demonstrates goal-directed learning in cortical organoids using a closed-loop electrophysiology framework and artificial reinforcement learning.

This paper presents a high-bandwidth, wireless brain-computer interface device capable of chronic recordings in animals, demonstrating reliable performance over weeks.

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.

This study demonstrates that human neural organoids exhibit features of learning and memory by showing synaptic plasticity, criticality, and receptor expression.

This paper introduces an automated brain organoid platform with IoT integration for continuous monitoring and control, showing increased neural activity and stable firing rates during automated media exchange.

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

The paper uses high-density electrophysiology to study epileptiform activity in human hippocampal slices from epilepsy patients, revealing unexpected network oscillations in dentate gyrus slices.

This study uses high-density electrode arrays to analyze neural activity in human brain organoids, revealing functional connectivity patterns and responses to benzodiazepine treatment.

This paper introduces an automated method to detect extracellular action potentials from individual neurons, insensitive to waveform changes, enabling high-content screening with MEAs.