Václav Křemen

The paper develops and validates an open-source ecosystem for implantable brain-computer interfaces and adaptive neuromodulation, demonstrating its capabilities through preclinical and human studies.

This paper develops a porcine model of mesial temporal lobe epilepsy using kainic acid and an implantable device to study seizures and electrophysiological features.

KenazLBM is a model that characterizes and predicts brain states from raw iEEG data, generalizing across subjects with heterogeneous recording channels.

The paper shows that impaired microglial phagocytosis due to TREM2 deficiency promotes seizure development in mice and correlates with seizure history in human patients.

The paper implants a neuromodulation platform in a beagle to study brain activity, finding the anterior ectosylvian gyrus responds selectively to social reinforcement, suggesting speech understanding may evolve from social brain structures.

The paper develops a method to detect cycles in sparse, irregularly sampled neuro-behavioral timeseries using basis pursuit denoising with polynomial detrending, validated on epileptiform discharge data.

The paper describes a system for chronic stimulation and recording of thalamic-hippocampal theta activities in humans during memory tasks, showing their correlation with memory performance and modulation by deep brain stimulation.

The paper shows that microglial process dynamics shield GABAergic inputs to enhance neuronal activity after anesthesia in mice.

The paper develops a system integrating implantable brain stimulation devices with wearable electronics for adaptive stimulation and real-time analysis in natural environments.

The paper analyzes intracranial EEG data to show distinct spatiotemporal dynamics of slow, intermediate, and fast spectral activities during human memory formation.

The paper compares loss of consciousness mechanisms in focal impaired awareness and focal to bilateral tonic-clonic seizures using intracranial EEG data from patients.

This paper describes a wireless neural interface for long-term home monitoring of neural activity in Parkinson's disease patients, enabling adaptive stimulation and behavioral state decoding.