133 results about "Perceived cognitive abilities" patented technology

The invention discloses a data-driven self-adaptive cognitive competence training method and a data-driven self-adaptive cognitive competence training device. The method comprises the following steps: collecting initial cognitive competence data of a user; establishing a mapping relationship between the training tasks and the cognitive ability dimensions, and associating a plurality of predefined training tasks to the corresponding cognitive ability dimensions respectively; based on the user cognitive competence vector, selecting a training task matched with the current cognitive competence level of the user from a training task library through an adaptive recommendation algorithm; providing the training task matched with the current cognitive ability level of the user for the user to execute; and updating the user cognitive ability vector according to the behavior feedback data. According to the technical scheme, the training task is finely matched through the multi-dimensional cognitive vector, the difficulty is adjusted in real time, and the load is prevented from being too high or too low; and by utilizing behavior data closed-loop updating, a capability increasing curve can be accurately quantified, task sorting and rhythm are dynamically optimized, and a learning motivation is stimulated.

The invention relates to the field of electroencephalogram signal processing, and particularly discloses a multi-mode electroencephalogram characteristic cognitive ability evaluation system based on a neural network, comprising: an acquisition module used for synchronously acquiring whole brain signals and eye movement data during pilot simulation training; the data preprocessing module is used for primarily processing the received whole brain signals and the eye movement data, monitoring the primarily processed data in real time by utilizing a preset monitoring mechanism, and triggering to generate interaction test starting signals if preset symbolic fluctuation occurs in the whole brain signals or the eye movement data; and the test interaction sub-module is used for generating arithmetic test questions according to a preset rule after receiving the interaction test starting signal, and synchronously recording answer correlation parameters of the pilot. By adopting the technical scheme of the invention, the deep-level reaction mechanism of the brain under the stimulation of the special complex cognitive task of flight training can be fully considered, and the cognitive load change of the pilot in the simulated training can be comprehensively and accurately reflected.

The invention belongs to the field of electroencephalogram signal analysis, and particularly relates to an asynchronous EEG-fNIRS-oriented brain image signal causal analysis method and device, and the method comprises the steps: creating a psychological experiment normal form for guiding a patient to carry out a cognitive ability test; collecting and preprocessing asynchronous EEG and fNIRS signals generated by the patient in the process of executing the psychological experiment normal form; extracting spatial features from the fNIRS signals to process EEG signals, so that the two signals are spatially aligned; time sequence features are extracted from the EEG signals to process the fNIRS signals, so that the time sequence features and the fNIRS signals are aligned; and analyzing the causal relationship between the EEG and the fNIRS signal after space and time alignment. According to the method, the spatial-temporal information of various modal signals collected by asynchronous non-joint equipment is fully utilized, the flexibility and accuracy of the method can support deep analysis of brain region states, and an effective tool is provided for neurovascular coupling analysis and clinical application of EEG and fNIRS.

The embodiment of the invention provides a cognitive training method and system based on an eye movement tracking control technology, and relates to the field of eye movement tracking, and the method comprises the steps: obtaining test data, corresponding to a plurality of eye movement test tasks, of a tested person; wherein the various eye movement test tasks comprise eye movement test tasks corresponding to each cognitive ability to be evaluated, aiming at each cognitive ability, according to eye movement test data, related to the cognitive ability, of the testee, index values of various ability evaluation indexes, corresponding to the cognitive ability, of the testee are determined; and determining the ability score corresponding to the cognitive ability, and determining a matched target cognitive training game according to the ability scores corresponding to various cognitive abilities of the testee. According to the method, the cognitive competence is evaluated based on the eye movement data of the testee, and the matched game is selected according to the evaluation result to train the cognitive competence, so that the interestingness of cognitive training is enhanced, and the training effect of cognitive training is remarkably improved.

The invention relates to a large language model reasoning enhancement method and device based on a multi-source retrieval and summary module, and the method comprises the steps: taking Qwen2.5-32B as a large language model, and carrying out the fine adjustment of the large language model through a preset retrieval data set; multiple rewards are introduced through reinforcement learning to improve the self-cognition ability of the large language model; constructing a vector database and a real-time network retrieval system based on the FAISS, and performing multi-source retrieval on the text data through the vector database and the real-time network retrieval system; text information of the text data is summarized through a preset small language model, and the text information is output to the large language model. According to the method, the self-cognition ability of the big language model is improved by adopting reinforcement learning (GPRO), and the multi-source retrieval module is constructed, so that the data with similar semantics can be quickly queried to assist the big language model in deeply understanding the semantic connotation of the data, and the accuracy and rationality of retrieval are improved.

The invention discloses a children brain intelligence cognition development ability evaluation method and system, and the method comprises the steps: receiving the identity information of a user, including the age, gender and education stage; an evaluation model covering six first-level dimensions and eight second-level dimensions is constructed, the first-level dimensions comprise memory, self-control ability, thinking ability, reaction ability, attention and space ability, and the second-level dimensions comprise short-term memory, work memory, suppression control, task switching, processing speed, logical thinking, concentration and visual perception space; and randomly extracting a target game task set from a task library, wherein the task set covers at least three first-level-dimension evaluation requirements. According to the evaluation method and system for the cognitive competence of the children, in the game evaluation process, the six cognitive fields are comprehensively covered by the system, and a scientific, comprehensive and interesting solution is provided for cognitive development evaluation of the children.

The present invention specifically relates to a method and apparatus for tactile-motion electroencephalogram signal-based closed-loop neurofeedback training. The method comprises: collecting the current finger somatosensory temporal discrimination threshold and electroencephalogram data of a test individual; using a closed-loop neurofeedback system and an electroencephalogram amplifier to perform neurofeedback training on the test individual; collecting the current finger somatosensory temporal discrimination threshold and electroencephalogram data of the test individual again, and by means of processing behavioral data of the finger somatosensory temporal discrimination threshold of the test individual and electroencephalogram feature data of the test individual, acquiring an effect after the neurofeedback training. By utilizing the impairment of a primary somatosensory cortex to extract tactile electroencephalogram feature indicators that are less constrained by cognitive abilities, the present invention enables a patient, during the closed-loop neurofeedback training, to observe in real time signals of the patient's brain-related electroencephalogram feature indicators and perform self-regulation, thereby more effectively changing the patient's own basic neural mechanisms, and achieving the control and intervention of early Alzheimer's disease.

The embodiment of the invention relates to a cognitive competence assessment processing method and device based on multi-modal data. The method comprises the following steps: setting two-stage data typing rules and typing feature coding rules of the multi-modal data; setting a corresponding score-classification relation table for the fluid intelligence scoring indexes of the two-stage data classification detailed rule; carrying out original data collection on the open biomedical database according to the two-stage data classification detailed rule, and carrying out training data arrangement according to the classification feature coding detailed rule, the score-classification relation table and the original data set; constructing a cognitive ability prediction model based on a LightGBM model; performing first-stage hyper-parameter optimization and full-data training on the cognitive competence prediction model, and then performing second-stage fault-tolerant training on the cognitive competence prediction model; and receiving current individual data after the two-stage training is finished, and performing cognitive ability evaluation and feature importance analysis based on the current individual data and the cognitive ability prediction model. According to the invention, the cognitive ability evaluation accuracy can be improved.

The invention provides a cognitive impairment screening system. A cognitive impairment screening system comprises an eye movement tracker, a testing end device, a tested end device and a processing device. The testing end device responds to the configuration operation of the testee and generates a test process of the subject, and the test process comprises test tasks corresponding to the cognitive competence of at least one dimension; the tested end device is provided with a first display device, and the test content corresponding to each test task is sequentially and visually displayed through the first display device; the eye movement tracker collects eye movement data of the subject for each test task in the test process and transmits the eye movement data to the processing equipment; the processing device determines a cognitive screening index for the eye movement data, and generates a screening recommendation result according to the cognitive screening index; the cognitive screening index comprises at least one of the test result accuracy data of the test task and the fixation time ratio of the region of interest in the test task, so that the cognitive impairment screening efficiency and accuracy are improved.

The invention relates to the field of cognitive assessment, in particular to a cognitive ability assessment method and system based on eye movement tracking and a program product. The method comprises the following steps that a testee is tested through an interactive electronic game, dominant behavior characteristics in the test are collected, and the dominant behavior characteristics comprise task completion time and accuracy; collecting a time sequence of eye movement data of the testee in the testing process; collecting the time of a key event of the testee in the testing process to obtain a time sequence of the key event, and performing time alignment and merging on the time sequence of the key event and the time sequence of the eye movement data to obtain a time sequence of a recessive behavior; and inputting the recessive behavior time sequence and the dominant behavior characteristics into a pre-trained machine learning model to obtain a comprehensive cognitive score. According to the method, on the premise that an existing interaction normal form is maintained, implicit multi-dimensional cognitive features are mined from limited behavior data streams, and the evaluation precision is improved.

The invention discloses an intelligent evaluation and intervention system for child neurodevelopmental disorders, relates to the technical field of child neurodevelopmental disorder evaluation, and aims to provide comprehensive and accurate behavior, language and cognitive ability evaluation for children through advanced artificial intelligence, big data and multi-modal technologies and generate a personalized intervention scheme according to an evaluation result. The system comprises an evaluation module, an intervention module and a data analysis and feedback module, the evaluation module is combined with computer vision, voice recognition, natural language processing and eye movement tracking technologies, behavior, language and cognitive data of children are automatically collected, and a behavior score, a language score and a cognitive score are generated; the intervention module automatically adjusts the intervention intensity according to the scores; and the data analysis and feedback module analyzes the evaluation result and the intervention effect in real time, generates a personalized evaluation report and optimizes the intervention scheme. According to the invention, through an intelligent algorithm and an automatic process, the evaluation efficiency and accuracy are greatly improved.

The invention discloses a psychological health screening method based on immersive game tasks and EEG (electroencephalogram) analysis, and relates to the technical field of psychological health screening, comprising the following steps: determining a psychological health dimension to be evaluated, and integrating VR (virtual reality) and EEG equipment; extracting corresponding data from different psychological dimension game data of VR to obtain emotion stability, cognitive ability and social skill evaluation values; and constructing a psychological health evaluation model based on linear regression through the EEG feature data, outputting score results on different psychological dimensions, and automatically generating a psychological health evaluation report in combination with corresponding evaluation values. The method solves the problems that it is difficult to establish a player attention state classification model to determine the attention concentration duration of players in different game stages, it is difficult to quantify evaluation values constructed by feature data in different psychological dimensions, and it is lack of automatically generating a psychological health evaluation report by combining VR games and EEG electroencephalogram signals.

A method and system for diagnosing an idiopathic psychosis patient and improving treatment targeting for that patient. Cognitive performance is measured on the patient. Pro- and anti-saccade signals are measured on the patient. Motor inhibition is measured on the patient. EEG signals are measured on the patient. Principal components analysis is applied to the measured signals and scales to determine the most significant features. The patient is evaluating on at least 11 dimensions of neuro-cognitive performance. A trained numerical taxonomy approach is used to classify the patient as belonging to a B-SNP psychosis Biotype and the patient's condition is categorized based on the classified Biotype. The B-SNIP psychosis Biotype is used to implement targeted treatment for an individual patient. The diagnostic algorithm is continuously re-trained using new cases and new laboratory tests to improve precision of B-SNIP psychosis Biotypes diagnosis and the accuracy of selecting treatments for individual patients.

The invention discloses a novel AI (artificial intelligence) cognitive fusion network (Cogntive Fusion Network) architecture and a realization method of the novel AI (artificial intelligence) cognitive fusion network architecture. The architecture comprises a dynamic attention mechanism, double seven-layer cognitive fusion processing units (perception, understanding, reasoning, decision making, execution, reflection and meta-cognition), a memory-calculation separation engine, and a dynamic network topology management and multi-time sequence parallel processing engine. Through the functions of a dynamic attention mechanism, multi-level cognitive processing, knowledge and calculation separation, dynamic network adjustment, parallel time sequence processing and the like, the advanced cognitive ability exceeding the traditional Transform architecture is realized. Compared with the prior art, the cognitive understanding accuracy is improved by 90%, the reasoning speed is improved by 182%, the concurrent processing capacity is improved by 450%, and the multi-time sequence processing efficiency is prompted by 8 times. The method can be widely applied to a plurality of cross-industry fields such as frontier scientific research, precise medical diagnosis, enterprise intelligent decision making, government public management, personal intelligent assistants and the like.

The invention discloses an application of a PI3K activator in treatment of Alzheimer's disease. The invention relates to the field of biological medicine, and provides application of UCL-TRO-1938 or pharmaceutically acceptable salt, solvate, prodrug, stereoisomer, isotope variant or tautomer thereof in preparation of a product for treating Alzheimer's disease. In-vivo and in-vitro experiments show that the UCL-TRO-1938 has a remarkable curative effect on improvement of cognitive competence; meanwhile, the traditional Chinese medicine composition also has a certain treatment effect on the Alzheimer disease.

The present invention relates to a method for cognitive ability testing and a testing system using the same. According to the method and testing system of the present invention, a cognitive ability test related to prefrontal lobe activity can be performed very effectively and with high reliability, and the test results may be utilized to provide information for the diagnosis of diseases that cause cognitive ability decline.

To provide a system and a device that assist in taking videos used to measure a non-cognitive ability.SOLUTION: A system assists in filming videos used to measure a non-cognitive ability, and includes a determination unit that determines whether videos corresponding to predetermined evaluation items have been filmed with a filming device, and a display unit that displays this fact when the determination unit determines that the predetermined evaluation items have not been filmed. A device is provided that assists in filming videos used to measure a non-cognitive ability. The device is a device that assists in filming videos used to measure a non-cognitive ability, and includes a determination unit that determines whether videos corresponding to predetermined evaluation items have been filmed with a filming device, and a display unit that displays this fact when the determination unit determines that the predetermined evaluation items have not been filmed.SELECTED DRAWING: Figure 1

The utility model discloses a card device for cognitive ability training, and relates to the technical field of cognitive ability training devices, the card device comprises a plurality of cards, the surfaces of the cards are printed with different patterns for cognitive training, each card comprises a card body and a closed bulge, the closed bulge is integrally fixed at the upper end of the card body, the closed bulge is in a hollow shell shape, and the closed bulge is in a hollow shell shape. The vertical section of the closed protrusion is trapezoidal, and the size of the side, close to the card body, of the closed protrusion is larger than that of the side, away from the card body, of the closed protrusion. According to the utility model, the closed bulge is arranged to be convenient for a practicer to hold, so that a card can be conveniently and quickly taken from the table top, the cognitive ability training efficiency is further improved, and the hollow shell-shaped closed bulge is arranged, so that on one hand, manufacturing materials can be reduced, the manufacturing cost is saved, and on the other hand, the cognitive ability training efficiency is improved. The closed protrusions with the trapezoidal vertical sections facilitate stacking of a plurality of cards, the storage effect is better, and every two adjacent cards are relatively fixed through the corresponding closed protrusions.

The application discloses a perspective conversion and meta-cognition ability testing method and platform, the method comprises the following steps: in a space array with a three-dimensional sphere as a carrier, based on a determined perspective conversion condition, rotating and transforming the self orientation of a subject, generating and presenting a space array containing the new self orientation of the subject; based on the newly generated space array, determining a test position while shielding the display of the original five objects; collecting the judgment result of the subject on whether the object to be judged after the self orientation is rotated is located at the test position, and the confidence score submitted by the subject for the judgment result through a 7-point Likert scale; for the judgment result and the confidence score submitted by the subject under different perspective conversion conditions in the perspective conversion task, the test result of the subject is obtained. In the form of a perspective conversion task, the measurement of the meta-cognition monitoring ability related to the perspective conversion of an individual is completed through the completion of a behavior task and data collection.

The invention discloses a hydroxyl-alpha-sanshool nano preparation as well as a preparation method and application thereof, and belongs to the technical field of pharmaceutical preparations, the hydroxyl-alpha-sanshool nano preparation is HAS-coated PEG-PLGA, the preparation method comprises the following steps: taking hydroxyl-alpha-sanshool and polyethylene glycol modified polylactic acid-glycolic acid copolymer as raw materials, and adding the hydroxyl-alpha-sanshool nano preparation and the polyethylene glycol modified polylactic acid-glycolic acid copolymer to prepare the hydroxyl-alpha-sanshool nano preparation. The preparation method comprises the following steps: preparing HAS-coated TGN-PEG-PLGA by adopting an emulsified solvent evaporation method, and further modifying by adopting TGN polypeptide, so as to prepare HAS-coated TGN-PEG-PLGA; according to the hydroxyl-alpha-sanshool nano-preparation, the encapsulation efficiency and the drug loading capacity of hydroxyl-alpha-sanshool are obviously improved, and the hydroxyl-alpha-sanshool nano-preparation has excellent stability and blood-brain barrier crossing capacity, so that the hydroxyl-alpha-sanshool nano-preparation can give full play to the treatment effects of improving learning and memory ability, cognitive ability and the like.

The invention relates to a pre-post state detection method and device, computer equipment, a storage medium and a product, relates to the technical field of pre-post state detection of station operating personnel, and can adapt to characteristic requirements of different posts and dynamically integrate physiological state information and cognitive competence information. The method comprises the following steps: acquiring physiological state information and cognitive ability information of a to-be-detected station operator; integrating the physiological state information and the cognitive competence information according to the adaptability adjustment parameters corresponding to the to-be-detected station operating personnel to obtain the post adaptability; the adaptability adjustment parameters are determined according to post characteristic information corresponding to station operators; comparing the post adaptation degree with a post threshold reference value corresponding to the to-be-detected station operating personnel to obtain a comparison result; and according to a comparison result, determining a pre-post state detection result of the to-be-detected station operator.

The invention discloses a cognitive competence training evaluation method and device, equipment and a medium, and the method comprises the steps: receiving a starting instruction, and obtaining a multimedia playing file corresponding to the starting instruction from a preset multimedia set; sending the multimedia playing file to an interactive display screen for playing, and synchronously obtaining eye movement track information captured by an eyeball capturing module; projecting the eye movement track information to a virtual scene corresponding to the multimedia playing file to obtain eye movement projection information; performing consistency analysis on the eye movement projection information according to eye movement reference coordinates corresponding to the multimedia playing file to obtain a corresponding consistency analysis result; and evaluating the consistency analysis result according to a preset evaluation model to obtain a corresponding evaluation score. According to the cognitive competence training evaluation method, the multimedia playing file is played and the individual eye movement track information is acquired and analyzed, so that the cognitive competence evaluation result of the individual is accurately acquired.

The application relates to a user space-based patient cognitive ability monitoring system, comprising a first client, the first client being communicatively connected to a server, the server pre-storing a predetermined behavior sequence and a time length of a predetermined specific behavior in line with user behavior habits, being capable of generating a first early warning information, and obtaining a first confidence degree according to the accuracy of a behavior sequence of a user in a current period compared with a predetermined behavior sequence based on received behavior data of daily behaviors associated with the user; the application also relates to a user space-based patient cognitive ability monitoring method, wherein the server obtains a cognitive ability score of a user according to data obtained by the first client according to the following scoring formula: the server regularly compares the cognitive ability score of the user corresponding to a current period with the cognitive ability score of the user corresponding to a last period, and generates a first early warning information when the cognitive ability score of the user decreases by more than a preset trigger threshold.

The application discloses a learner concentration detection method and device based on MRI images and a medium, relates to the technical field of computer vision, and extracts features related to cognitive activities in learner fMRI signals through a local-global feature aggregator (LGA) to generate text query features and brain subtitles; in visual stimulus reconstruction, a three-condition comprehensive guidance condition diffusion model is introduced into a reverse generation process, brain subtitles, stimulus images and fMRI potential features are combined, an image generation result is optimized through a cross-attention mechanism, and learner concentration is evaluated according to the similarity between the reconstructed image and the original stimulus; through multi-modal feature fusion and weight distribution, the objectivity and accuracy of the concentration detection are significantly improved, and a new paradigm is provided for cognitive ability evaluation.

The application discloses an IGFBP-2 derived polypeptide and application thereof in preparation of an antidepressant, and relates to the technical field of biological medicines. The amino acid sequence of the polypeptide is Pro-Lys-Lys-Leu-Arg-Pro, the N terminal of which is acetylated and the C terminal of which is amidated, and the amino acid sequence is shown as SEQ ID NO:1. The polypeptide has a small molecular weight, can easily penetrate the blood-brain barrier, and has good stability after terminal modification. Animal experiments prove that the polypeptide can significantly improve the depressive behavior of Shank3 gene knockout mice, including improving the spatial cognitive ability, enhancing the social interaction and curiosity, and relieving the anxiety behavior. Cell experiments prove that the polypeptide can significantly improve the viability of hippocampal neuron cells from Shank3 gene knockout mice, and up-regulate the expression level of synaptic plasticity related proteins GluA1 and SYN1. The polypeptide can be prepared by a chemical synthesis method, has low cost, and can be used for preparing a medicine for preventing or treating depression (especially depression related to Shank3 gene mutation).

This invention relates to the field of cognitive testing techniques and sensor-based measurement systems to create a block design test-based cognitive ability and psychomotor profile assessment system that can be used in various age groups. This system integrates testing media in the form of physical blocks, digital simulations, or a combination of both, as well as a rotation sensor-based data acquisition module to record the orientation and movement of the blocks in real-time during the assembly process. The obtained rotation data is then processed to analyze the level of accuracy, speed, interaction patterns, and movement coordination that represent the user's cognitive abilities and psychomotor profile. Unlike conventional methods that rely on subjective observations by the examiner, this system is capable of conducting assessments objectively, measurably, and based on quantitative data.Furthermore, this system enables more efficient testing by storing results digitally for monitoring, evaluation, and research. This invention is intended to support a variety of applications, from monitoring cognitive development in children, evaluating cognitive performance in adults, to early detection of cognitive and psychomotor decline in the elderly.

This invention relates to the field of health monitoring technology and discloses a method and system for assessing and warning behavioral abilities based on multimodal Internet of Things (IoT). The system includes a sensing module, a data fusion module, a behavioral graph construction module, a feature extraction module, an assessment module, and an early warning display module. The sensing module collects multimodal sensor data. The data fusion module performs spatiotemporal alignment, sensor priority conflict resolution, and Kalman filtering for noise reduction, correcting the issue of missed infrared static detections. The behavioral graph construction module establishes an individual's spatiotemporal behavioral graph through atomic event determination. The feature extraction module extracts high-level features such as spatial transfer time, spatial switching frequency, and path confusion index. The assessment module includes assessment of mobility, cognitive ability, and health warnings and acute event identification. Finally, a tiered early warning is generated and pushed to the client. This invention achieves refined quantitative assessment and early warning of the mobility and cognitive abilities of elderly people living at home.

The application discloses a kind of globally optimized supervised multimodal image fusion method, pre-processes each modality brain image data, and carries out feature extraction;The features of each modality obtained are pre-processed, and the feature matrix of each modality after pre-processing is obtained;The independence of the independent component of each modality obtained is calculated;Solve the optimal solution of the mixing matrix when the independence of the independent component of each modality, the correlation between the mixing matrix of each modality and the correlation between the mixing matrix of each modality and reference information are maximized.The global optimal solution is obtained by maximizing the independence of the independent component, and simultaneously maximizing the correlation square sum between the independent component and the reference information between the independent component of each modality, so as to obtain the global optimal solution.By introducing working memory score as reference information, the synergistic covariant component related to clinical index and relatively independent in space is identified specifically, so as to further dig the interaction between cognitive ability and multimodal neural image in mental illness.

The invention discloses application of Cacumen biotae-derived extracellular vesicles in preparation of drugs for treating anxiety, depression or insomnia. The EVs are separated and purified from cacumen biotae through a specific differential ultracentrifugation method, the EVs have a typical double-layer membrane structure, the average particle size is about 100 nm, about 1012 EVs can be extracted from each gram of cacumen biotae, and 62 volatile components are contained. Cacumen biotae EVs can be taken by PC12 cells, and corticosterone-induced neuron damage can be relieved; for chronic constraint stress model mice, anxiety behaviors and spatial learning and memory disorders can be improved, and central nervous inflammation can be inhibited; for chronic unpredictable mild stress model mice, the weight, the sucrose preference rate and the cognitive ability can be recovered, and the levels of 5-hydroxytryptamine and gamma-aminobutyric acid are increased; and for 4-chloro-DL-phenylalanine induced insomnia model mice, the sleep condition can be improved, the neurotransmitter level can be recovered, and the effect is equivalent to that of positive drugs such as citalopram, fluoxetine, diazepam and the like.

A device and a signal processing method that can be used with a device to recognize and distinguish a physiological high-frequency oscillation (HFO) from a pathological high-frequency oscillation. The signal processing method detects a physiological HFO in the electrical brain signal one regimen of electrical or optogenetic brain stimulation can be triggered, alternatively if the method detects a pathological HFO associated with epilepsy a different regimen of electrical or optogenetic brain stimulation can be triggered. Thus, the signal processing method can be utilized in a closed loop brain stimulation device that serves the dual purpose of both enhancing memory encoding, consolidation, and recall, or improving cognition, and reducing the probability of a seizure in a patient with epilepsy.