Topic: intracranial recordings

Investigate human brain circuits underlying emotion and cognition, with the goal of improving precision neuromodulation. Research combines intracranial recordings, stimulation, single-neuron measurements, functional imaging and computational network models in a clinical neuroscience environment. The position is full-time and includes opportunities to connect causal circuit measurements with psychiatric questions. Applications close on 17 October 2026.

There are over 30 million people with drug-resistant epilepsy worldwide. When neuroimaging and non-invasive neural recordings fail to localise seizure onset zones (SOZ), intracranial recordings become the best chance for localisation and seizure-freedom in those patients. However, intracranial neural activities remain hard to visually discriminate across recording channels, which limits the success of intracranial visual investigations. In this presentation, I present methods which quantify intracranial neural time series and combine them with explainable machine learning algorithms to localis

Synchronization of dispersed brain areas comprising the Default Mode Network (DMN) has been implicated in a range of cognitive processes (e.g., episodic memory retrieval, dream recall, creativity) [1,2]. Here, we probe the role of the DMN in divergent thinking through intracranial recordings in 8 patients with electrodes implanted for epilepsy monitoring. Subjects performed a creativity-requiring alternate uses task (AUT) and two control tasks (Fig. 1a)—a basic arithmetic task (BAT) and an object characterization task (OCT). The originality of subjects’ AUT responses was automatically scored u