Abstract: Described is a system for treating traumatic memories. During a wake stage, a virtual environment is displayed to a subject. A traumatic episode that may be similar to a traumatic memory of the subject is displayed to the user in the virtual environment in a benign setting. A transcranial current stimulation (tCS) controller applies a pattern of transcranial direct current stimulation (tDCS) to the subject during the traumatic episode, such that the traumatic memory in a benign setting is associated with the pattern of tDCS. During a sleep stage, if slow-wave sleep in the subject is detected via electroencephalogram (EEG) recordings, then in a first time period, the tCS controller may a transcranial alternating current stimulation (tACS) to the subject followed by a second time period without stimulation. In a third time period, the tCS controller may apply the pattern of tDCS to the subject. The sleep stage may be repeated until a desired weakening of the traumatic memory is reached.

Abstract: Described is a system for memory improvement intervention. Based on both real-time EEG data and a neural model, the system simulates replay of a person's specific memory during a sleep state. Using the neural model, a prediction of behavioral performance of the replay of the specific memory is generated. If the prediction is below a first threshold, then using a memory enhancement intervention system, the system applies an intervention during the sleep state to improve consolidation of the specific memory. If the prediction is below a second threshold, the system reduces the intervention performed using the memory enhancement intervention system.

Abstract: A filter of the present invention creates a cavity filter that can be embedded within the inner layers of a printed circuit board. The embodiment can provide for a tunable microwave filter with lower loss, lower manufacturing cost and higher production yields. In addition, the tunable microwave includes a temperature compensation means to accommodate an electrical characteristic of filter with regard to the temperature variation. Such temperature compensation embodiment can be embedded into the upper layer communicably associated with the processor. For performing intelligent temperature compensation, the processor can include a look-up table of tuning values for controlling can store a set of temperature offset value that can modify the tuning table.

Abstract: Described is a system for detecting attacks on networks. A hierarchical representation of activity of a communication network is used to detect and predict sources of misinformation in the communication network. The hierarchical representation includes temporal patterns of communication between at least one pair of nodes, each temporal pattern representing a motif, having a size, in the hierarchical representation. Changes in motifs provide a signal for a misinformation attack.

Abstract: Described is a closed-loop intervention control system for memory consolidation in a subject. During operation, the system simulates memory changes of a first memory in a subject during waking encoding of the memory, and then while the subject is sleeping and coupled to an intervention system. Based on the simulated memory changes, the system predicts behavioral performance for the first memory, the behavioral performance being a probability that the first memory can be recalled on cue. The system can be used to control operation (e.g., turn on or off) of the intervention system with respect to the first memory based on the behavioral performance of the first memory determined by the simulation.

Abstract: Described is a system for the therapeutic modification of human behavior and, more specifically, a system for the transcranial control of procedural memory reconsolidation for the purposes of enhanced skill acquisition. During operation the system records a practice pattern. The practice pattern is a recording of a sensed brain activity from a sensor array when a subject is performing a skill. The practice pattern is converted to brain activity voxels and stored as both an uncompressed practice pattern and a compressed practice pattern.

Abstract: Described is a system for detecting attacks on networks. A hierarchical representation of activity of a communication network is used to detect and predict sources of misinformation in the communication network. The hierarchical representation includes temporal patterns of communication between at least one pair of nodes, each temporal pattern representing a motif, having a size, in the hierarchical representation. Changes in motifs provide a signal for a misinformation attack.

Abstract: Described is a system for detecting attacks of misinformation on communication networks. Network controllability metrics on a graphical representation of a communication network are computed. Changes in the network controllability metrics are detected, and attack of misinformation on the communication network are detected based on the detected changes in the network controllability metrics.

Abstract: Described is a system for system for gait intervention and fall prevention. The system is incorporated into a body suit having a plurality of distributed sensors and a vestibulo-muscular biostim array. The sensors are operable for providing biosensor data to the analytics module, while the vestibulo-muscular biostim array includes a plurality of distributed effectors. The analytics module is connected with the body suit and sensors and is operable for receiving biosensor data and analyzing a particular user's gait and predicting falls. Finally, a closed-loop biostim control module is included for activating the vestibulo-muscular biostim array to compensate for a risk of a predicted fall.

Abstract: Described is a system for detecting and encoding indirect associations in associative memory. The system receives a data storage input in a content-addressable memory (CAM), the data storage input comprising an association between a first data pattern A and a second data pattern B. At least one indirect association related to the data storage input is identified with an inductive logic unit (ILU) interfaced with the CAM, and the indirect association is stored for later recall. A query is generated from the ILU to the CAM to determine whether either of the first data pattern A or the second data pattern B is stored as part of an existing association in the CAM. If either the first data pattern A or the second data pattern B are known, then a new indirect association for the known data pattern is stored.

Abstract: Described is a cyber security system for digital artifact genetic modeling and forensic analysis. The system identifies the provenance (origin) of a digital artifact by first receiving a plurality of digital artifacts, each digital artifact possessing features. Raw features are extracted from the digital artifacts. The raw features are classified into descriptive genotype-phonotype structures. Finally, lineage, heredity, and provenance of the digital artifacts are determined based on mapping of the genotype-phenotype structures.

Abstract: Described is a recall system that uses spiking neuron networks to identify an unknown external stimulus. The system operates by receiving a first input signal (having spatial-temporal data) that originates from a known external stimulus. The spatial-temporal data is converted into a first spike train. A first set of polychronous groups (PCGs) are generated as a result of the first spike train. Thereafter, a second input signal originating from an unknown external stimulus is received. The spatial-temporal data of the second input signal is converted into a second spike train. A second set of PCGs are then generated as a result of the second spike train. Finally, the second set of PCGs is recognized as being sufficiently similar to the first set of PCGs to identify the unknown external stimulus as the known external stimulus.

Abstract: Provided is a system and method for tracking and identifying a target in an area of interest based on a comparison of predicted target behavior or movement and sensed target behavior or movement. Incorporating aspects of both particle diffusion and mobility constraint models with target intent derivations, the system may continuously track a target while simultaneously refining target identification information. Alternatively, the system and method are applied to reacquire a target track based on prioritized intents and predicted target location.

Abstract: Described is a system for adaptive memory recall. The system receives original input data, then divides the original input data into multiple data groups to serve as input for a network comprising a pattern separation layer and an autoassociative memory layer. The original input data is processed with a pattern separation component of the pattern separation layer, and each pattern separation component generates an increased-contrast version of the original input data it processes. The generated increased-contrast version of the original input data is combined with the original input data and stored in an autoassociative memory component of the autoassociative memory layer for each data group. New input data is received, and a parameter that controls processing in the pattern separation layer is modulated to determine an optimal parameter, which indicates that a memory recall between the stored data and the new set of input data is achieved.

Abstract: A technique protects against premature actuation of a tool, such as a downhole well tool. The technique utilizes a degradable material positioned along a hydraulic actuation passage and/or between shiftable components of the tool. In some applications, the tool may comprise a primary flow passage and a hydraulic actuation passage separate from the primary flow passage. Hydraulic actuation of the tool or a corresponding tool is temporarily blocked by placing a degradable material in the hydraulic actuation passage. The degradable material dissolves or otherwise degrades over time via exposure to a degradation fluid. In other applications, the degradable material may be positioned to block movement of a shiftable component of the tool until the degradable material is sufficiently degraded to allow tool actuation.

Abstract: Described is a system for representing, storing, and reconstructing an input signal. The system constructs an index of unique polychronous groups (PCGs) from a spiking neuron network. Thereafter, a basis set of spike codes is generated from the unique PCGs. An input signal can then be received, with the input signal being spike encoded using the basis set of spike codes from the unique PCGs. The input signal can then be reconstructed by looking up in a reconstruction table, for each unique PCG in the basis set in temporal order according to firing times, anchor neurons. Using a neuron assignment table, an output location can be looked up for each anchor neuron to place a value based on the firing times of each unique PCG. Finally, the output locations of the anchor neurons can be compiled to reconstruct the input signal.

Abstract: A contingency planning system apparatus including a world description subsystem responsive to data representing a description of the world related to a planning problem and configured to instantiate a plurality of world codelets in a codelet workspace. A coderack subsystem is responsive to a slipnet network and is configured to instantiate a plurality of codelets in the codelet workspace each having one or more slots for binding with binding sites of lower level codelets and configured to monitor constraint changes thereto and propagate those changes to any related codelets. A temperature subsystem is configured to detect when temperature in the codelet workspace has reached a predetermined level indicating a satisfactory solution to the planning problem has been achieved.

Abstract: A driver state module for interfacing with a vehicle, with a surroundings vicinity of the vehicle and with a driver of the vehicle, the driver state module comprising: (i) a frame memory for storing representations of behaviors with related context; (ii) an evaluation system for ranking the frames based on goals and rewards; (iii) a working memory comprising a foreground sub-memory and a background sub-memory, the working memory for holding and sorting frames into foreground and background frames, and (iv) a recognition processor for identifying salient features relevant to a frame in the foreground memory ranked highest by the evaluation system.

Abstract: A hybrid probabilistic/deterministic planning system including a hybrid planning engine responsive to a null hybrid contingency plan including user defined probabilistic problem including goals, possible effect actions, and the initial state of one or more possible worlds configured to extract a deterministic planning problem therefrom. A deterministic planning engine responsive to the hybrid planning engine configured to generate one or more deterministic partial plans. The d hybrid planning engine converts the one or more deterministic partial plans into one or more hybrid partial plans and splices the one or more hybrid partial plans into selected null hybrid contingency plans to generate one or more hybrid contingency plans for each agent in each of the one or more possible worlds.

Abstract: A contingency planning system apparatus including a world description subsystem responsive to data representing a description of the world related to a planning problem and configured to instantiate a plurality of world codelets in a codelet workspace. A coderack subsystem is responsive to a slipnet network and is configured to instantiate a plurality of codelets in the codelet workspace each having one or more slots for binding with binding sites of lower level codelets and configured to monitor constraint changes thereto and propagate those changes to any related codelets. A temperature subsystem is configured to detect when temperature in the codelet workspace has reached a predetermined level indicating a satisfactory solution to the planning problem has been achieved.