Patents by Inventor Praveen K. Pilly

Praveen K. Pilly has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 10307592
    Abstract: Described is a system for consolidation of specific memories of events. A sleep state detector assesses a subject's sleep state from neural recordings obtained from a high-density electroencephalogram (HD-EEG) device. During a memory encoding phase, a high-definition transcranial current stimulation (HD-tCS) system simultaneously applies a spatiotemporal amplitude-modulated pattern (STAMP) tag and a transcranial direct current stimulation (tDCS) signal to the subject as an event is experienced by the subject. During a memory consolidation phase, the HD-tCS system applies a transcranial alternating current stimulation (tACS) signal to the subject during a sleep or quiet waking state of the subject.
    Type: Grant
    Filed: October 24, 2016
    Date of Patent: June 4, 2019
    Assignee: HRL Laboratories, LLC
    Inventors: Praveen K. Pilly, Michael D. Howard, Jaehoon Choe, Rajan Bhattacharyya
  • Patent number: 10238870
    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.
    Type: Grant
    Filed: October 27, 2016
    Date of Patent: March 26, 2019
    Assignee: HRL Laboratories, LLC
    Inventors: Praveen K. Pilly, Michael D. Howard, Rajan Bhattacharyya
  • Publication number: 20190021657
    Abstract: A system for closed-loop pulsed transcranial stimulation for cognitive enhancement. During operation, the system identifies a region of interest (ROI) in a subject's brain and then estimates ROI source activations based on the estimated source of the ROI. It is then determined if a subject is in a bad encoding state based on the ROI source activations. Finally, one or more electrodes are activated to apply a pulsed transcranial stimulation (tPS) therapy when the subject is in a bad encoding state, a predefined external event or behavior occurs, or the subject is in a consolidation state during sleep.
    Type: Application
    Filed: May 18, 2018
    Publication date: January 24, 2019
    Inventors: Iman Mohammadrezazadeh, Praveen K. Pilly, Michael D. Howard
  • Patent number: 10092753
    Abstract: Described is a system for enhancing memories during sleep. The system detects, via at least one sensor, brain activity of a user as the user learns a new episode pattern or recalls an episode pattern. The episode pattern is temporally compressed. A specific sleep stage is detected in the user. Upon detection of the specific sleep stage, the system automatically recreates the temporally compressed episode pattern by applying neural stimulation to the user to ensure the consolidation of the episode pattern in the user.
    Type: Grant
    Filed: August 3, 2016
    Date of Patent: October 9, 2018
    Assignee: HRL Laboratories, LLC
    Inventors: Michael D. Howard, Praveen K. Pilly, Matthias Ziegler, Matthew E. Phillips, Rajan Bhattacharyya
  • Publication number: 20180272129
    Abstract: Described is a system to accelerate memory consolidation using a steerable transcranial intervention. During operation, the system generates a unique transcranial and steerable stimulation tag to associate with memory of a task or event. Once the tag is generated, the system activates a plurality of electrodes (e.g., as few as four) to apply the unique transcranial stimulation tag during the occurrence of the event or task to be consolidated.
    Type: Application
    Filed: May 25, 2018
    Publication date: September 27, 2018
    Inventors: Michael D. Howard, Praveen K. Pilly
  • Publication number: 20180264264
    Abstract: Described is a system for transcranial stimulation to improve cognitive function. During operation, the system generates a customized stimulation pattern based on damaged white matter. Further, data is obtained representing natural brain oscillations of a subject. Finally, while the subject is awake, one or more electrodes are activated in phase with the natural brain oscillations and based on the customized stimulation pattern.
    Type: Application
    Filed: May 18, 2018
    Publication date: September 20, 2018
    Inventors: Steven W. Skorheim, Nicholas A. Ketz, Jaehoon Choe, Praveen K. Pilly
  • Publication number: 20180236230
    Abstract: Described is a system for inducing a desired behavioral effect using an electrical current stimulation. A brain monitoring subsystem includes monitoring electrodes for sensing brain activity, and a brain stimulation subsystem includes stimulating electrodes for applying an electrical current stimulation. Multi-scale distributed data is registered into a graphical representation. The system identifies a sub-graph in the graphical representation and maps the sub-graph onto concept features, generating a concept lattice which relates the concept features to a behavioral effect. Finally, an electrical current stimulation to be applied to produce the behavioral effect is determined.
    Type: Application
    Filed: April 23, 2018
    Publication date: August 23, 2018
    Inventors: Praveen K. Pilly, Michael D. Howard, Heiko Hoffmann, Tsai-Ching Lu, Kang-Yu Ni, David W. Payton
  • Patent number: 10046162
    Abstract: Described is a system for weakening traumatic memories using transcranially-applied electro-stimulation. The system uses a recording of spatiotemporally distributed brain activity of a human subject experiencing a traumatic memory to generate a traumatic pattern. Additionally, the system uses a recording of spatiotemporally distributed brain activity of the human subject experiencing a non-traumatic memory to generate an antidote pattern. A required transcranially-applied electro-stimulation is determined to recreate the antidote pattern to block consolidation and reconsolidation of the traumatic memory in the human subject.
    Type: Grant
    Filed: March 16, 2016
    Date of Patent: August 14, 2018
    Assignee: HRL Laboratories, LLC
    Inventors: Praveen K. Pilly, Michael D. Howard
  • Publication number: 20180221661
    Abstract: Described is a system for synchronization of neurostimulation interventions. The system continuously monitors incoming neurophysiological signals. Latencies present in the monitoring of the incoming neurophysiological signals are measured. Based on the measured latencies, the timing of targeted neurostimulation interventions is determined, resulting in a neurostimulation intervention protocol. The neurostimulation intervention protocol is adjusted in real time for administration of neurostimulation during temporal regions of interest. The system then triggers administration of the neurostimulation during the temporal regions of interest.
    Type: Application
    Filed: April 6, 2018
    Publication date: August 9, 2018
    Inventors: Jaehoon Choe, Praveen K. Pilly
  • Patent number: 9998130
    Abstract: A method to perform convolutions between arbitrary vectors includes estimating a first degree of match for a difference between a first vector having a plurality of first elements and a second vector having a plurality of second elements using a first cluster of coupled oscillators, estimating a second degree of match for the first vector using a second cluster of coupled oscillators, estimating a third degree of match for the second vector using a third cluster of coupled oscillators, deriving a first squared L2 norm from the first degree of match, deriving a second squared L2 norm from the second degree of match, deriving a third squared L2 norm from the third degree of match, adding the second squared L2 norm and the third squared L2 norm, and subtracting the first squared L2 norm to form a sum, and dividing the sum by two.
    Type: Grant
    Filed: July 6, 2016
    Date of Patent: June 12, 2018
    Assignees: HRL Laboratories, LLC, University of Pittsburg—Of The Commonwealth System Of Higher Education
    Inventors: Praveen K. Pilly, Jose Cruz-Albrecht, Narayan Srinivasa, Steven P. Levitan, Donald M. Chiarulli
  • Publication number: 20180154148
    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.
    Type: Application
    Filed: January 18, 2018
    Publication date: June 7, 2018
    Inventors: Praveen K. Pilly, Michael D. Howard
  • Publication number: 20180146916
    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.
    Type: Application
    Filed: January 19, 2018
    Publication date: May 31, 2018
    Inventors: Michael D. Howard, Steven W. Skorheim, Praveen K. Pilly
  • Publication number: 20180068581
    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.
    Type: Application
    Filed: October 30, 2017
    Publication date: March 8, 2018
    Inventors: Steven W. Skorheim, Michael D. Howard, Praveen K. Pilly
  • Publication number: 20180013439
    Abstract: A method to perform convolutions between arbitrary vectors includes estimating a first degree of match for a difference between a first vector having a plurality of first elements and a second vector having a plurality of second elements using a first cluster of coupled oscillators, estimating a second degree of match for the first vector using a second cluster of coupled oscillators, estimating a third degree of match for the second vector using a third cluster of coupled oscillators, deriving a first squared L2 norm from the first degree of match, deriving a second squared L2 norm from the second degree of match, deriving a third squared L2 norm from the third degree of match, adding the second squared L2 norm and the third squared L2 norm, and subtracting the first squared L2 norm to form a sum, and dividing the sum by two.
    Type: Application
    Filed: July 6, 2016
    Publication date: January 11, 2018
    Applicants: HRL Laboratories, LLC, University of Pittsburgh - Of the Commonwealth System of Higher Education
    Inventors: Praveen K. PILLY, Jose CRUZ-ALBRECHT, Narayan SRINIVASA, Steven P. LEVITAN, Donald M. CHIARULLI
  • Publication number: 20170312519
    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.
    Type: Application
    Filed: October 27, 2016
    Publication date: November 2, 2017
    Inventors: Praveen K. Pilly, Michael D. Howard, Rajan Bhattacharyya
  • Publication number: 20170316311
    Abstract: Described is a sparse inference module that can be incorporated into a deep learning system. For example, the deep learning system includes a plurality of hierarchical feature channel layers, each feature channel layer having a set of filters. A plurality of sparse inference modules can be included such that a sparse inference module resides electronically within each feature channel layer. Each sparse inference module is configured to receive data and match the data against a plurality of pattern templates to generate a degree of match value for each of the pattern templates, with the degree of match values being sparsified such that only those degree of match values that exceed a predetermined threshold, or a fixed number of the top degree of match values, are provided to subsequent feature channels in the plurality of hierarchical feature channels, while other, losing degree of match values are quenched to zero.
    Type: Application
    Filed: March 24, 2016
    Publication date: November 2, 2017
    Inventors: Praveen K. Pilly, Nigel D. Stepp, Narayan Srinivasa