Neurosecurity has been defined as "a version of computer science security principles and methods applied to neural engineering", or more fully, as "the protection of the confidentiality, integrity, and availability of neural devices from malicious parties with the goal of preserving the safety of a person’s neural mechanisms, neural computation, and free will". [1] Simply put, Neurosecurity is, at least in principle, an antivirus and firewall for the mind. Neurosecurity also refers to the application of neuroscience to behavioral information security to better understand and improve users' security behaviors. [2] Neurosecurity is a distinct concept from neuroethics; neurosecurity is effectively a way of enforcing a set of neuroethical principles for a neural device. Neurosecurity is also distinct from the application of neuroscience to national security, a topic that is addressed in Mind Wars: Brain Research and National Defense [3] by Jonathan D. Moreno.
The Center for Neurotechnology Studies [4] of the Potomac Institute for Policy Studies, in Arlington, VA, US works with a number of university and governmental partners on issues, problems and protocols for neurosecurity. James Giordano, Director of the Center, defines neurosecurity as "concepts, practices, guidelines and policies dedicated to identifying threats to, and preserving the integrity of neuro-psychiatric information about persons, groups and populations obtained in neuroscientific research and/or through the use of neurotechnologies (such as neuroimaging, neurofeedback, neurogenetics, and neuro-computational data banks) in medicine, the social sphere, and national intelligence and defense". [5] [6] [7] [8]
Artificial consciousness (AC), also known as machine consciousness (MC), synthetic consciousness or digital consciousness, is the consciousness hypothesized to be possible in artificial intelligence. It is also the corresponding field of study, which draws insights from philosophy of mind, philosophy of artificial intelligence, cognitive science and neuroscience. The same terminology can be used with the term "sentience" instead of "consciousness" when specifically designating phenomenal consciousness.
A brain–computer interface (BCI), sometimes called a brain–machine interface (BMI) or smartbrain, is a direct communication pathway between the brain's electrical activity and an external device, most commonly a computer or robotic limb. BCIs are often directed at researching, mapping, assisting, augmenting, or repairing human cognitive or sensory-motor functions. They are often conceptualized as a human–machine interface that skips the intermediary component of the physical movement of body parts, although they also raise the possibility of the erasure of the discreteness of brain and machine. Implementations of BCIs range from non-invasive and partially invasive to invasive, based on how close electrodes get to brain tissue.
In philosophy and neuroscience, neuroethics is the study of both the ethics of neuroscience and the neuroscience of ethics. The ethics of neuroscience concerns the ethical, legal and social impact of neuroscience, including the ways in which neurotechnology can be used to predict or alter human behavior and "the implications of our mechanistic understanding of brain function for society... integrating neuroscientific knowledge with ethical and social thought".
Neurotechnology encompasses any method or electronic device which interfaces with the nervous system to monitor or modulate neural activity.
Cognitive liberty, or the "right to mental self-determination", is the freedom of an individual to control their own mental processes, cognition, and consciousness. It has been argued to be both an extension of, and the principle underlying, the right to freedom of thought. Though a relatively recently defined concept, many theorists see cognitive liberty as being of increasing importance as technological advances in neuroscience allow for an ever-expanding ability to directly influence consciousness. Cognitive liberty is not a recognized right in any international human rights treaties, but has gained a limited level of recognition in the United States, and is argued to be the principle underlying a number of recognized rights.
Brain implants, often referred to as neural implants, are technological devices that connect directly to a biological subject's brain – usually placed on the surface of the brain, or attached to the brain's cortex. A common purpose of modern brain implants and the focus of much current research is establishing a biomedical prosthesis circumventing areas in the brain that have become dysfunctional after a stroke or other head injuries. This includes sensory substitution, e.g., in vision. Other brain implants are used in animal experiments simply to record brain activity for scientific reasons. Some brain implants involve creating interfaces between neural systems and computer chips. This work is part of a wider research field called brain–computer interfaces.
Neuroprosthetics is a discipline related to neuroscience and biomedical engineering concerned with developing neural prostheses. They are sometimes contrasted with a brain–computer interface, which connects the brain to a computer rather than a device meant to replace missing biological functionality.
Neural engineering is a discipline within biomedical engineering that uses engineering techniques to understand, repair, replace, or enhance neural systems. Neural engineers are uniquely qualified to solve design problems at the interface of living neural tissue and non-living constructs.
Neuroinformatics is the emergent field that combines informatics and neuroscience. Neuroinformatics is related with neuroscience data and information processing by artificial neural networks. There are three main directions where neuroinformatics has to be applied:
Jonathan D. Moreno is an American philosopher and historian who specializes in the intersection of bioethics, culture, science, and national security, and has published seminal works on the history, sociology and politics of biology and medicine. He is an elected member of the National Academy of Medicine.
The National Core for Neuroethics at the University of British Columbia was established in August 2007, with support from the Canadian Institutes of Health Research, the Institute of Mental Health and Addiction, the Canada Foundation for Innovation, the British Columbia Knowledge Development Fund, the Canada Research Chairs program, the UBC Brain Research Centre and the UBC Institute of Mental Health. Co-founded by Judy Illes and Peter Reiner, the Core studies neuroethics, with particular focus on ethics in neurodegenerative disease and regenerative medicine, international and cross-cultural challenges in brain research, neuroimaging and ethics, the neuroethics of enhancement, and personalized medicine.
Judy Illes,, PHD, FRSC, FCAHS, is Professor of Neurology and Distinguished University Scholar in Neuroethics at the University of British Columbia. She is Director of Neuroethics Canada at UBC, and faculty in the Brain Research Centre at UBC and at the Vancouver Coastal Health Research Institute. She also holds affiliate appointments in the School of Population and Public Health and the School of Journalism at UBC, and in the Department of Computer Science and Engineering at the University of Washington in Seattle, WA. USA. She was appointed a member of the Order of Canada in 2017.
Frank H. Guenther is an American computational and cognitive neuroscientist whose research focuses on the neural computations underlying speech, including characterization of the neural bases of communication disorders and development of brain–computer interfaces for communication restoration. He is currently a professor of speech, language, and hearing sciences and biomedical engineering at Boston University.
The Center for Neurotechnology (CNT) is an Engineering Research Center funded by the National Science Foundation to create devices to restore the body's capabilities for sensation and movement. The center is based at the University of Washington. The center's core partner organizations are Massachusetts Institute of Technology and San Diego State University.
The White House BRAIN Initiative is a collaborative, public-private research initiative announced by the Obama administration on April 2, 2013, with the goal of supporting the development and application of innovative technologies that can create a dynamic understanding of brain function.
Brain technology, or self-learning know-how systems, defines a technology that employs latest findings in neuroscience. [see also neuro implants] The term was first introduced by the Artificial Intelligence Laboratory in Zurich, Switzerland, in the context of the Roboy project. Brain Technology can be employed in robots, know-how management systems and any other application with self-learning capabilities. In particular, Brain Technology applications allow the visualization of the underlying learning architecture often coined as "know-how maps".
The Bernstein Network is a research network in the field of computational neuroscience; this field brings together experimental approaches in neurobiology with theoretical models and computer simulations. It unites different scientific disciplines, such as physics, biology, mathematics, medical science, psychology, computer science, engineering and philosophy in the endeavor to understand how the brain functions. The close combination of neurobiological experiments with theoretical models and computer simulations allows scientists of the Bernstein Network to pursue innovative approaches with regard to one of the most complex structures nature has created in the course of evolution: the natural brain.
Stentrode is a small stent-mounted electrode array permanently implanted into a blood vessel in the brain, without the need for open brain surgery. It is in clinical trials as a brain–computer interface (BCI) for people with paralyzed or missing limbs, who will use their neural signals or thoughts to control external devices, which currently include computer operating systems. The device may ultimately be used to control powered exoskeletons, robotic prosthesis, computers or other devices.
The Research, Innovation, and Dissemination Center for Neuromathematics is a Brazilian research center established in 2013 at the University of São Paulo that is dedicated to integrating mathematical modeling and theoretical neuroscience. Among the core missions of NeuroMat are the creation of a new mathematical system to understanding neural data and the development of neuroscientific open-source computational tools, keeping an active role under the context of open knowledge, open science and scientific dissemination. The research center is headed by Antonio Galves, from USP's Institute of Mathematics and Statistics, and is funded by the São Paulo Research Foundation (FAPESP). As of 2019, the co-principal investigators are Oswaldo Baffa Filho (USP), Pablo A. Ferrari (USP/UBA), Fernando da Paixão (UNICAMP), Antonio Carlos Roque (USP), Jorge Stolfi (UNICAMP), and Cláudia D. Vargas (UFRJ). Ernst W. Hamburger (USP) was the former director of scientific dissemination. NeuroMat's International Advisory Board consists of David R. Brillinger, Leonardo G. Cohen (NIH), Markus Diesmann (Jülich), Francesco Guerra, Wojciech Szpankowski (Purdue).
Neuroprivacy, or "brain privacy," is a concept which refers to the rights people have regarding the imaging, extraction and analysis of neural data from their brains. This concept is highly related to fields like neuroethics, neurosecurity, and neurolaw, and has become increasingly relevant with the development and advancement of various neuroimaging technologies. Neuroprivacy is an aspect of neuroethics specifically regarding the use of neural information in legal cases, neuromarketing, surveillance and other external purposes, as well as corresponding social and ethical implications.