HRL Laboratories – ISSL & CNES

HRL Laboratories's Information and Systems Sciences lab (ISSL) conducts groundbreaking research in neuromorphic computing, robotic manipulation, brain-machine interfaces, trusted computing, multi-sensor object recognition, and automated knowledge and content extraction.

The Center for Neural and Emergent Systems (CNES), part of ISSL, is dedicated to exploring and developing an innovative neural & emergent computing paradigm for creating intelligent, efficient machines that can interact with, react and adapt to, evolve, and learn from their environments.

GE Brain Health Initiative

GE has launched a new Brain Health Initiative linking numerous entities within the company such as GE Healthcare, GE Ventures & Healthymagination, and GE’s Global Research Center.

The Initiative will build on and coordinate multiple efforts within the company, including corporate venture capital, open innovation, R&D, and health care lines of business. This includes previously announced efforts at GE, such as the work that the company has done to convene the traumatic brain injury community and support for “Brain Trust” meetings of thought leaders.


Inscopix believes that uncovering causal neural circuit dynamics is the key to truly understanding the brain.

Inscopix recognize that current challenges in studying brain function and dysfunction are handicapped by the inability to monitor large groups of neurons at single-cell resolution. Inscopix understands the need to acquire large-scale neural circuit activity data in naturally behaving subjects. With their flagship miniaturized microscope system, nVista HD, Inscopix is enabling you to gather unprecedented data sets in any brain area in awake behaving subjects, to make breakthrough scientific discoveries.

Google and The BRAIN Initiative

Google engineers are building tools and developing infrastructure to analyze petabytescale datasets generated by the BRAIN Initiative.

Google is working closely with the Allen Institute to develop scalable computational solutions to advance scientific understanding of the brain and with Janelia Research and several academic partners. Google is building the software tools and supporting infrastructure needed to analyze the datasets generated by the BRAIN Initiative to better understand the brain’s computational circuitry and the neural basis for human cognition.

Quanterix – GE & NFL Head Health Challenge I Winner

Quanterix has developed a simple blood test to aid in the detection of traumatic brain injury. Using its Simoa technology, Quanterix is able to measure molecular signatures (biomarkers) of brain injury in blood.

Quanterix is working to detect and quantify mild to moderate traumatic brain injury almost immediately after the injury has taken place, which will help to better predict the long-term prognosis of individuals who have undergone acute and repetitive injuries. Quanterix’s goal is to provide a blood test that speeds the diagnosis of a concussion in a clinical setting and on the sidelines in a sports arena.

BrainScope – GE & NFL Head Health Challenge I Winner

BrainScope, in collaboration with the Purdue Neurotrauma Group, conducted a study of athletes using both neuroimaging tools as well as BrainScope’s urgent care, handheld, EEG-based traumatic brain injury detection technology.

BrainScope is developing a concussion assessment system to identify concussed from non-concussed patients and provide a method for assessment of concussed patients over time. This system in development is for initial point-of-care assessment to rehabilitation of head-injured patients.

This research supported the utility of the BrainScope markers as a surrogate for neuroimaging.

For more information on the GE & NFL Challenge, go to this post.

Banyan Biomarkers – GE & NFL Head Health Challenge I Winner

Banyan Biomarkers, Inc. is developing a point-of-care blood test to rapidly detect the presence of mild and moderate brain trauma to improve the medical management of head injured patients.

Researchers from Banyan Biomarkers and the University of Florida are collaborating on a sports concussion study to analyze biomarkers, neurocognitive testing, and neuroimaging on student athletes. Banyan expects twenty blood-based markers for head injury will be added to the study in the coming year.

For more information on the GE & NFL Challenge, go to this post.

Gray Matter Research

Gray Matter Research focuses on Microdrive Systems and Recording Chamber Systems. For the BRAIN Initiative, Goodell and his colleagues aim to develop optrodes, which are implantable columns of lights and wires for simultaneous electrical recording of neurons and delivery of light flashes to multiple brain areas.

GSK Bioelectronics R&D

Our vision for bioelectronic medicines is one of miniature, implantable devices that can be attached to individual peripheral nerves anywhere in the viscera.

Such devices would be able to decipher and modulate neural signalling patterns, bringing about therapeutic effects targeted at single functions of specific organs. GSK operates an exploratory research funding program; we have established a $50 million venture arm dedicated to technology and early bioelectronic treatment manifestations and an innovation challenge focussed on rapidly bringing visceral nerve research platforms to the community.

Photonics Industry Neuroscience Group

Leaders of the National Photonics Initiative (NPI), an alliance of top scientific societies uniting industry and academia to raise awareness of photonics, launched its Photonics Industry Neuroscience Group at the White House BRAIN Initiative launch conference.

Members of the NPI industry group are committing to invest upwards of $30 million in existing and future research and development spending over the next three years to advance optics and photonics technology in support of the White House BRAIN Initiative.

UC Berkeley-Zeiss BrainMIC

University of California, Berkeley and Carl Zeiss Microscopy are investing $12 million to create the Berkeley Brain Microscopy Innovation Center (BrainMIC).

The BrainMIC will fast-track microscopy development for emerging neurotechnologies and will run an annual course to teach researchers how to use the new technologies. The UC Berkeley Helen Wills Neuroscience Institute is creating a program that will generate innovative devices and analytic tools in engineering, computation, chemistry, and molecular biology to enable transformative brain science from studies of human cognition to neural circuits in model organisms.

Mitre NSEC

Mitre Corporation role in IARPA'S ICArUs program was the Test and Evaluation (T&E) of the neural-computational models developed by several teams of performers. Mitre performed these tasks through its National Security Engineering Center (NSEC).

Mitre also explored the potential for transition of T&E products beyond ICArUS to practical applications and future research in the Intelligence Community.


As part of the IARPA SHARP program,Honeywellis leading a team of top researchers from Northeastern University, Oxford University, and Beth Israel Dea­coness Med­ical Center.

The goal of the SHARP program is to develop, demonstrate, and validate methods to augment intelligence analysts’ adaptive reasoning and problem-solving capabilities (ARP) and to enhance their ability to reason through complex problems common to the intelligence community.

Charles River Analytics

As part of the IARPA SHARP program, Charles River is leading a team of top researchers from the Georgia Institute of Technology, the University of New Mexico, and Harvard University to test the effectiveness of a Multifaceted Intervention for Robust, ARP-Focused Customized Learning and Enhancement, or MIRACLE.

The goal of the SHARP program is to develop, demonstrate, and validate methods to augment intelligence analysts’ adaptive reasoning and problem-solving capabilities (ARP) and to enhance their ability to reason through complex problems common to the intelligence community.

Siemens Healthcare

Dr. Francisco Pereira, staff scientist at Siemens Healthcare, leads the IARPA KRNS team which comprises 12 people across five institutions (Siemens, Princeton University, MIT, MGH and Harvard University).

Their models are based on learning distributed representations of individual words from text corpora, as well as resources such as FrameNet and WordNet, and using recursive neural network approaches and other techniques to assemble them into the representation of a sentence. The models are validated by decoding mental content from brain imaging data acquired with our own experiments.


eCortex is a research and development company dedicated to the idea that the most important advances in artificial intelligence will come from a deep understanding of the mechanisms in the human brain.

eCortex performs basic and applied research for defense and intelligence agencies in programs where the challenges are broad enough to defy narrow algorithmic solutions. Ultimately, we aim to develop commercial products for robotics and analysis of image, video, and other data.

Skip to toolbar