Events

Discover our upcoming events and catch up with recordings of our past scientific talks.

Future events

No events currently scheduled.

Past events

Neuro X seminars are recorded, but offline viewing is limited to the EPFL community. Click on the images below to access the recordings (through identification). Previous seminars are accessible through the MediaSpace platform.

MediaSpace

Ardem Patapoutian | May the Force be with you! Piezo channels in mechanosensory biology.

Date : 27.01.25

Ardem Patapoutian, Nobel Laureate in Physiology or Medicine (2021), Professor at Scripps Research, Investigator, Howard Hughes Medical Institute; Presidential Endowed Chair in Neurobiology.

Abstract
Mechanotransduction was perhaps the last major sensory modality not understood at the molecular level. Proteins/ion channels that sense mechanical force are postulated to play critical roles in sensing touch/pain (somatosensation), sound (hearing), shear stress (cardiovascular function), etc.; however, the identity of ion channels involved in sensing mechanical force had remained elusive. The Patapoutian lab identified PIEZO1 and PIEZO2, mechanically activated cation channels that are expressed in many mechanosensitive cell types. Genetic studies established that PIEZO2 is the principal mechanical transducer for touch, proprioception, baroreception, bladder, and lung stretch, and that PIEZO1 mediates blood-flow sensing, which impacts vascular development and iron homeostasis. Clinical investigations have confirmed the importance of these channels in human physiology. Current work in Patapoutian lab continues to explore the role of mechanosensation and interoception in physiology and disease.

This event is part of the Life Sciences Seminar Series and the BMI Distinguished Seminar Series, hosted by the Mackenzie Mathis Lab. The seminar is followed by a coffee break for fellow researchers to connect.

Seizure detection challenge

Date : 09.01.25

The Embedded Systems Laboratory is organizing a competition in collaboration with the International Conference on Artificial Intelligence in Epilepsy and Other Neurological Disorders.

The competition aims to develop epileptic seizure detection algorithms for assisting in the analysis of scalp electroencephalography. It is open to anyone with skills in machine learning and artificial intelligence. This competition should help identify algorithms well suited for hospital adoption while simultaneously pushing for open and reproducible science.

The competition will use the EPFL Research Computing Platform to evaluate algorithms.

You will find a description of the competition on epilepsybenchmarks.com

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