Brain employs different control strategies. Mind or thought control can be defined as the inability of the human subjects to think autonomously. Initially mind control was considered a mere conspiracy theory but it is REAL!!
Companies like Microsoft and Facebook are coming up with “Brain -Computer Interfaces” which can help the users increase their concentration and think their way around a computer device, hands free.
The emerging discipline of network neuroscience and network control deals with modulating human brain network to treat cognitive deficits and /or enhance mental abilities. A lot of patents are being filed in this field.
Title: DEVICE AND METHOD FOR EFFECTIVE INVASIVE TWO-STAGE NEUROSTIMULATION
The invention relates to a device for stimulating neurons, comprising a stimulation unit, which can be implanted in the body of a patient and which has a plurality of stimulation elements for stimulating neurons in the brain and/or spinal cord of the patient with stimuli, and a control unit, which operates the stimulation unit during a first time interval and during a second time interval following the first time interval in different stimulation modes. The control unit controls the stimulation unit during at least 75% of the duration of the first time interval in a first stimulation mode such that the stimulation element repeatedly generate sequences of stimuli and the order in which the stimulation elements generate the stimuli within a sequence is constant for not more than 5 successively generated sequences and is then varied. The control unit controls the stimulation unit during at least 75% of the duration of the second time interval in a second stimulation mode such that the stimulation elements repeatedly generate sequences of stimuli and the order in which the stimulation elements generate the stimuli within a sequence is constant for at least 25 successively generated sequences and is then varied. The intensity of stimuli in the first stimulation mode is lower than or equal to a predetermined stimulus intensity and the intensity of stimuli in the second stimulation mode is at least 1.3 times the predetermined stimulus intensity.
Title: METHOD AND SYSTEM FOR PROVIDING A BRAIN COMPUTER INTERFACE
Assignee: Arctop, Inc. (San Francisco, CA, US)
Publication Date: 11 Jan 2018
A method for providing a brain computer interface that includes detecting a neural signal of a user in response to a calibration session having a time-locked component and a spontaneous component; generating a user-specific calibration model based on the neural signal; prompting the user to undergo a verification session, the verification session having a time-locked component and a spontaneous component; detecting a neural signal contemporaneously with delivery of the verification session; generating an output of the user-specific calibration model from the neural signal; based upon a comparison operation between processed outputs, determining an authentication status of the user; and performing an authenticated action.
Title: METHOD AND DEVICE FOR ENHANCING MEMORY CONSOLIDATION
Assignee: ICM (INSTITUTE OF THE BRAIN AND THE SPINAL CORD (Paris, FR)
APHP (PUBLIC ASSISTANCE – HOSPITALS OF PARIS (Paris, FR)
NATIONAL CENTER FOR SCIENTIFIC RESEARCH (CNRS) (Paris, FR)
UNIVERSITY PIERRE AND MARIE CURIE – PARIS 6 (UPMC) (Paris, FR)
INSERM (NATIONAL INSTITUTE FOR HEALTH AND MEDICAL RESEARCH) (Paris Cedex 13, FR)
Publication Date: 28 Dec 2017
The present invention relates to methods and devices for consolidating memory and / or cognitive functions by monitoring brain dynamics and delivering a stimulus to the appropriate stage of sleep cycle.
Title: Headset with contactless electric field sensors for facial expression and cognitive state detection
Assignee: Oculus VR, LLC (Menlo Park, CA, US)
Publication Date: 19 Dec 2017
A head-mounted display (HMD) device includes a plurality of activity detection sensors coupled to a liner formed around a periphery of a HMD or a band attached to the HMD. The sensors attached to the liner are adopted for direct or indirect contact to an upper portion of a user’s face, and the sensors coupled to the band are adopted for direct or indirect contact with a back side of the user’s head. The activity detection sensors detect electrical field signals caused by muscle contractions in an upper portion of a user’s face or brain activity signals when the user is wearing the HMD. The HMD includes a module that reconstructs and projects a facial animation model of the user and a cognitive state of the user based on signals from the activity detection sensors while the HMD is in use by the user.
Title: BRAIN ACTIVITY PREDICTION
Assignee: UNIVERSITAT ZURICH (Zurich, CH)
UNIVERSITY OF FRIBOURG (Fribourg, CH)
Publication Date: 7 Dec 2017
A method for estimating a brain activity response following a stimulus of a person comprises the steps: providing a usage data set of the person from a personal device used by said person, wherein at least one usage attribute is associated to said usage data set, wherein attribute data is associated to each of the at least one usage attribute, providing a computational inference model, generated from a plurality of brain activity data sets and a plurality of usage data sets, wherein each brain activity data set comprises data derived from a brain activity response following a sensory stimulus, submitting the attribute data of each of the at least one usage attributes to said computational inference model, estimating a brain activity response following a sensory stimulus of said person by evaluating said computational inference model for the submitted attribute data. The method is useful to determine, for example the influence of intensive touch pad usage (of a smartphone) on somatosensory evoked potentials.