A craniode is positioned in an intra-osseous fashion, namely partly or wholly within the bone of the skull, without penetrating the interior of the skull, while also being positioned below the scalp. A craniode can be used to sense electrical signals from a brain, to electrically stimulate the brain, to emit light signals to the brain, to detect light signals from the brain, to perform functional near infrared spectroscopy on the brain, and to perform photobiomodulation on the brain; and can, for example, provide the ability to perform these procedures in daily life. To resolve the problem of connectivity, each craniode can be connected, or can be equipped with features that make it connectable, to a subcutaneous cable, thus enabling the long-term usage of the craniode in real-life settings; or, active electrodes can be used to transmit signals wirelessly. Transcutaneous and sub-scalp implantation techniques are also provided.

Example devices are disclosed herein that include a first elongated band coupled to a first housing to be located on a first side of a head of a subject and a second housing to be located near a second side of the head of the subject, the first elongated band comprising a first set of electrodes. The example device also includes a second elongated band coupled to the first housing and to the second housing, the second elongated band comprising a second set of electrodes. In addition, the device includes a third elongated band coupled to the first housing and to the second housing, the third elongated band comprising a third set of electrodes.

Disclosed are systems and methods for reducing artifacts in neural activity readings. Electrical readings may be acquired using EEG electrodes secured to a subject. A high-pass or band-pass filter may be applied to the electrical readings to favor frequencies more associated with neurogenic potentials as opposed to myogenic potentials. Independent component analysis (ICA) may be applied to the filtered electrical readings. Selected components in each iteration may be pruned to produce reduced-artifact electrical readings, and the reduced-artifact electrical readings may be presented for further review and analysis.

Disclosed are systems and methods for reducing artifacts in neural activity readings. Electrical readings may be acquired using EEG electrodes secured to a subject. A high-pass or band-pass filter may be applied to the electrical readings to favor frequencies more associated with neurogenic potentials as opposed to myogenic potentials. Independent component analysis (ICA) may be applied to the filtered electrical readings. Selected components in each iteration may be pruned to produce reduced-artifact electrical readings, and the reduced-artifact electrical readings may be presented for further review and analysis.

The present invention provides a non-physical communication interface between humans and machines which allows for specific commands with a high degree of success. Systems and methods provided for herein allow for a non-physical, non-verbal and non-audible communication interface between humans and machines, or a telepathic communication from a human to a computing device. Embodiments of the invention allow for human telepathic control of machines, or allow for human to human telepathic communication through the use of one or more computers or machines.

A method for manufacturing a deep intracranial electrode, a bending-resistant deep intracranial electrode and an electroencephalograph is disclosed. The method comprises the following steps: manufacturing a support rod of the deep intracranial electrode with a shape memory alloy material, the shape memory alloy having a preset phase-transformation temperature; subjecting the support rod in a straight state to an annealing process such that the support rod memorizes a straight shape.

A method is described for real-time detecting and classifying of a characteristic signal, such as a neural spike, and forwarding information for further processing if it meets certain criteria. A system (e.g., an on-chip system implanted in a subject's cranium with limited processing power) receives an electrical biological signal. The system filters the signal to generate a filtered signal and fits the filtered signal to a model. The system identifies a set of fit values based on the model, the set of fit values comprising a plurality of sample amplitude values and a respective plurality of time values. Based on the fit values, the system computes a set of characteristic values. The system compares the characteristic values to a corresponding set of threshold values. Based on the comparison, the system determines whether the received biological signal corresponds to a neural spike and, if a spike is detected, forwards on information.

The present disclosure relates to data acquisition, and in particular to thin film connectors between a lead assembly and a data acquisition system. Particularly, aspects of the present disclosure are directed to a connector that includes a button having a housing and conductive pins extending from a proximal end of the housing through a base plate into a cavity on a distal end of the housing. The connector further includes a thin-film adapter having: (i) a supporting structure, (ii) bond pads formed on the supporting structure, (iii) a cable having conductive traces electrically connected to the bond pads, and (iv) feedthroughs that pass through the supporting structure and are electrically connected with the bond pads. Each conductive pin extends through a feedthrough, and each conductive pin is in electrical connection with one or more conductive traces via each bond pad.

A brain-machine interface system configured to decode neural signals to control a target device includes a sensor to sample the neural signals, and a computer-readable storage medium having software instructions, which, when executed by a processor, cause the processor to transform the neural signals into a common representational space stored in the system, provide the common representational space as a state representation to inform an Actor recurrent neural network policy of the system, generate and evaluate, utilizing a deep recurrent neural network of the system having a generative sequence decoder, predictive sequences of control signals, supply a control signal to the target device to achieve an output of the target device, determine an intrinsic biometric-based reward signal, from the common representational space, based on an expectation of the output of the target device, and supply the intrinsic biometric-based reward signal to a Critic model of the system.

A cranial drill guide includes a housing and a drill guide sleeve assembly pivotally attached to the housing. The drill guide sleeve assembly at least two degrees of freedom to allow the drill guide sleeve assembly to be moved to a first pivoted position for forming an angled burr hole through a cranial surface. The two degrees of freedom can comprise a pivoting motion of the drill guide sleeve assembly and an axial motion of a portion of the drill guide sleeve assembly.