Oxford CNL

COMPUTATIONAL NEUROSCIENCE LAB

University of Oxford – Nuffield Department of Surgical Sciences

OxCNL = Deep Machine Learning + Big Data Healthcare

We seek to understand the underlying neurophysiological processes that spawn consciousness, cognition, behavior and language.

We have restored sight in blind mice, removed chronic pain in humans and hope to soon be able to restore memories and enhance cognitive performance. We are now developing a system to detect formerly undiagnosable neurological disorders.

Future work includes building a “neural pacemaker” and transcribing thought to text.

We use advanced AI to decode neurological processes. We use neurological processes to advance AI.

Extending years of work at the MIT Mind Machine Project and Synthetic Intelligence Lab, we build neurologically-inspired deep machine learning systems. We are using these systems to identify circuit functionality from neurodegenerative disorders and provide a “baseline for health”.

As a member of the Human Brain Project, OxCNL is mapping these circuits to understand the holistic operation of the human brain.

The cornerstone of our work is understanding the Language of the Brain and so we are developing systems capable of simultaneously “reading” millions of neurons while “writing” thousands of others. Such systems enable us to interactively explore the brain and decode this language, leading to the development of Biological Coprocessors – implants built from organic tissue that are intelligent, wireless and self-powered.

Verily, a Google Alphabet company

The Human Brain Project (HBP)

Multimodal diagnostics will revolutionize healthcare

Devices and sensors are getting smaller, more powerful and more wearable by the day. OxCNL has developed a system that synchronously combines data from all these sources and correlates it into a comprehensive patient profile. Our machine learning algorithms will analyze millions of these profiles, across an ever-growing set of metrics, to find disease biomarkers and other patterns, mapping neurophysiological processes to higher-order behavioral, cognitive and linguistic function.

Our method is the most accurate in the world at diagnosing neurological disorders and can quantifiably detect many formerly undiagnosable diseases, such as Alzheimer’s Disease, Parkinson’s Disease, dementia, depression and PTSD.

Oxford CNL is a highly multidisciplinary lab, consisting of neurologists, mathematicians, engineers, physicists, psychologists, philosophers and surgeons from around the world

Oxford Computational Neuroscience Laboratory - Research Team

Prof. Newton Howard

Prof. Tipu Aziz

Prof. Louis Jehel

Prof. Bruno Falissard

Prof. Erik Cambria

Prof. Amir Hussain

Our research is advancing the state-of-the-art in several fields

DIAGNOSTIC

Multimodal diagnostics treat the patient as an interconnected system and are able to detect more subtle physiological variants than existing methods. This approach naturally factors in comorbidities.

THERAPEUTIC

We develop novel methods of optical neurosurgery that are orders of magnitude more accurate (and less expensive) than existing treatment modalities, using both optogenetic and natively optical methods.

LINGUISTIC

Linguistic analysis is a cornerstone of our work, as vocal expression is directly related to internal dialogue and is able to provide deep insight into a patient’s emotional state and overall mental health.

ALGORITHMIC

Cloud-based analysis of patient data is the underlying technology for our diagnostic and therapeutic solutions and our algorithms involve some rather advanced maths. We do love our numbers and transforms.