About

The science, the team and the mission behind Synaption.

Synaption Neurotechnology is building EEG decision-support tools to help clinicians with neurological and psychiatric assessment.

Mission

Why We Exist

Over a billion people worldwide live with neurological or psychiatric conditions, and diagnosis still relies mostly on clinical interviews. EEG has recorded the brain's electrical activity for almost a century, but there are few tools that turn it into something a clinician can use in an assessment.

SynapCore is our attempt to turn that signal into structured decision support. It does not replace professional judgement. It adds a measurement based on the patient's own brain activity to the information the clinician already has.

"Synaption does not replace the professional. It supports them."

Founder

Meet the Founder

Joan Andres Pulgarin Florez, Founder and CEO of Synaption Neurotechnology

Joan Pulgarin Florez

Founder & CEO

Biomedical EngineerNeural Engineer

Trained in Biomedical Engineering (BEng, Middlesex University London) with postgraduate studies in Neurotechnology at Imperial College London. Years of work with EEG signal processing and machine learning for neural data made one thing clear to him: there is a wide gap between EEG research and clinical practice.

Synaption was set up to work on that gap by building a tool clinicians can use.

Company

Company

Synaption Neurotechnology Ltd

Active

Registered in the United Kingdom. The legal and operating entity for regulatory submissions, intellectual property and commercial activity.

Pre-Commercial · Research Use Only

Regulatory Status

SynapCore is for research use only. It is not UKCA marked, CE marked or FDA cleared, and it must not be used to make clinical decisions. Before any clinical use it would need to be assessed and approved as a medical device. We will only take that step when results on clinical data justify it.

Values

What We Stand For

Scientific Rigour

We validate with leave-one-subject-out cross-validation, which gives lower but more realistic numbers than k-fold. That is why we report AUC = 0.650 and not a higher figure.

Transparency

We use public datasets, document our methods and state the limits of our results, including results that did not hold up on an external cohort.

Accessibility

EEG is cheaper and more widely available than most brain imaging. We want the analysis in SynapCore to be usable by a small clinic as well as a large hospital.

Working in EEG research or clinical neuroscience?

We are looking for research and clinical partners to help validate SynapCore.