Computational NeuroEngineering (CoNE) Laboratory, Hanyang University

빠른 메뉴


  • Home
  • Link
  • e-mail


Since 2006

15개 중에 우리랑 관계 있는 기술이 3-4개 이상 있군

15 Emerging Neurotechnologies That Will Change The World

Michell Zappa, Policy Horizons Canada
Jun. 4, 2014, 5:18 PM

Policy Horizons Canada worked with futurist and data visualizer Michell Zappa of Envisioning to produce a report called MetaScan 3: Emerging Technologies and accompanying infographics. We are reproducing the summary for emerging neuro and cognitive technologies.

Below are technologies related to neuro and cognitive under three key areas of accelerating change: Neural Network Computing, Extended Cognition and Neural Interfaces. Neural network computing will lead to improvements in computer vision and analysis, such as detecting emotions and moods, which may have safety and security applications. Extended cognition involves more direct connection to people's brains, allowing mood, thought patterns and information to be altered in the brain. Neural interfaces get information out of people's brains more efficiently, ultimately allowing a machine-enabled form of telepathy.

We have included predictions based on consultation with experts of when each technology will be scientifically viable (the kind of stuff that Google, governments, and universities develop), mainstream (when VCs and startups widely invest in it), and financially viable (when the technology is generally available on Kickstarter).

Neural Network Computing

Proactive software agents: Software applications with the capacity of discerning and predicting likely future needs for whomever is being served. Intelligently scheduling meetings, sorting email and selectively notifying the user are potential usages.

Scientifically viable today; mainstream in 2016; financially viable in 2017.

Neural network image recognition: Using hundreds of thousands of processor cores programmed to algorithmically determine the content of a given image. Different from reverse image search, neural network image recognition has the capacity to successfully understand the photo of, for example, a cat, based on thousands of cat pictures.

Scientifically viable today; mainstream in 2021; financially viable in 2022.

Emotion tracking: Using sensors, computer vision and algorithms to correctly identify the likely emotions displayed by individuals in a crowd. Useful in airports and other high-risk facilities.

Scientifically viable today; mainstream in 2018; financially viable in 2019.

Predictive group sentiment analysis: Predicting the likely behavior of large groups of people based on sociometric input variables like social tension, weather variation, pedestrian flows and degree of agitation is becoming increasingly possible.

Scientifically viable in 2022; mainstream in 2023; financially viable in 2027.

Predictive crime prevention: The use of sociometric sensors coupled with neural networked computers to statistically determine the probability of crime (or other anti-social behavior) taking place before it happens.

Scientifically viable in 2021; mainstream in 2026; financially viable in 2027.

Extended Cognition

Neural biofeedback: Biofeedback using real-time EEG or fMRI to illustrate brain activity, often with a goal of controlling the central nervous actions.

Scientifically viable today; mainstream in 2015; financially viable in 2017.

Capacitive micromachined ultrasonic transducers: A relatively new concept in the field of ultrasonic transducers where the energy transduction is due to change in capacitance. Can be used to remotely improve alertness, awareness in soldiers, etc.

Scientifically viable in 2016; mainstream in 2019; financially viable in 2020.

Next-generation neuropharmacology: Both behavioral and molecular neuropharmacology are benefitting from rapidly accelerating change. With an increase in technology and improved understanding of the nervous system, the development of drugs will continue to rise with an increase in drug sensitivity and specificity. (Such as neuropharmacological enhancements that work better than caffeine).

Scientifically viable in 2018; mainstream in 2021; financially viable in 2023.

Neuroprosthetics: Neural devices capable of substituting motor, sensory or cognitive modalities that might have been damaged as a result of an injury or a disease. Applications include neural enhancements, advanced cognitive features and extended physiological senses.

Scientifically viable in 2021; mainstream in 2026; financially viable in 2027.

Neural Interfaces

EEG brain-to-computer interfaces: Electroencephalography remains the most feasible practice of executing and implementing brain to brain interfaces. It represents the best temporal-resolution tool for getting a picture of the brain in action, is portable, non-invasive and extremely affordable compared to other methods.

Scientifically viable and mainstream today; financially viable in 2021.

High-resolution fMRI: The next generation of functional Magnetic Resonance Imaging involves increasing the spatial and temporal resolution of the imagery. We are likely to see a 14-tesla machines becoming common (as opposed to today's 3-tesla).

Scientifically viable today; mainstream in 2023; financially viable in 2024.

Transcranial magnetic stimulation: TMS is a noninvasive method to cause depolarization or hyperpolarization in the neurons of the brain using electromagnetic induction to induce weak electric currents using a rapidly changing magnetic field. This can cause activity in specific or general parts of the brain with minimal discomfort, allowing the functioning and interconnections of the brain to be studied.

Scientifically viable today; mainstream in 2019; financially viable in 2022 .

Optogenetic implants in humans: The combination of genetic and optical methods to control specific events in targeted cells of living tissue, even within freely moving mammals and other animals, with the temporal precision (millisecond timescale) needed to keep pace with functioning intact biological systems.

Scientifically viable in 2021; mainstream and financially viable in 2026.

Next-generation brain-to-computer interfaces: Hypothetical interfaces to be used for assisting, augmenting, or repairing human cognitive or sensory-motor functions and communicate thoughts and intentions to the Internet.

Scientifically viable in 2020; mainstream in 2022; financially viable in 2027.

Brain-to-brain interfaces: The hypothetical implementation of brain interfaces that translate thoughts, sensations or impulses into digital signal, converting the data back into the recipient's brain to enable a certain response from both ends. Loosely interpreted as telepathy, brain interfaces would be able to transmit information from one person so another without any mediation other than the internet, allowing the brain on the receiving end to perform behavioural tasks without training.

Scientifically viable in 2025; mainstream in 2026; financially viable in 2027.

Read more:

번호 제목 글쓴이 날짜 조회 수
213 생체공학과 주관으로 2015년 세계 뇌주간(World Brain Awareness Week) 특강 개최, 2015년 3월 16일 5시-7시30분 file Prof.Im 2015.03.02 7909
212 Publication Updates Prof.Im 2015.02.05 7184
211 [학회] Biomagnetics Korea 2015 Prof.Im 2015.01.28 7893
210 (랩소식) 연구실 논문 Journal of Neuroscience Methods의 Most cited paper 중 하나로 선정 Prof.Im 2015.01.06 9295
209 (랩소식) CoNE Lab. 연구 채널i에 소개 file admin 2014.12.30 7789
208 (워크숍) 2015 계산뇌과학 겨울학교 admin 2014.12.26 8831
207 (랩소식) 연구실 연구 내용 언론에 소개 - 동아일보 admin 2014.12.26 7152
206 Publication Updates Prof.Im 2014.12.11 7467
205 Publication Updates Prof.Im 2014.12.04 6939
204 [수상] 김정연 박사과정 International Biomedical Engineering Conference 2014 (IBEC 2014) Student Paper Award 수상 admin 2014.11.28 8944
203 [수상] 김도원 박사, 심미선 박사과정 대한불안의학회, 대한신경정신의학회, 대한조현병학회 등에서 우수포스터상 수상 admin 2014.11.28 7457
202 2014 Neuroscan School 강의자료 공유 file Prof.Im 2014.11.23 7050
201 (랩소식) 이준학(석사과정) 대한뇌기능매핑학회 추계학술대회 우수포스터상 수상 Prof.Im 2014.11.12 7838
200 Publication Updates Prof.Im 2014.11.03 7774
199 (언론) 전자신문 - 한양대 생체공학과, 국내 의공학 분야 발전 이끈다 Prof.Im 2014.10.18 7736
198 [포럼] 2014 International Forum of Sensory and Neuro Marketing file Prof.Im 2014.09.26 12591
197 LORETA를 이용한 뇌파 신호원 분석 교육 워크숍 admin 2014.09.15 9209
196 제1회 뇌파신경생리연구회 학술대회 file Prof.Im 2014.08.14 9253
195 Journal Impact Factor 2014.08. (JCR2013) 우리랩 논문 게재 저널 Prof.Im 2014.08.02 7744
194 Publication Update Prof.Im 2014.08.02 8563
Web Site Hit Counters visits since 05-19-2007 Webmaster E-mail:
2011 (c) All rights are reserved. Computational NeuroEngineering Laboratory, Hanyang University