Abstract: A device and a signal processing method that can monitor human memory performance by recognizing and characterizing high-gamma (65-250 Hz) and beta (14-30 Hz) band oscillations in the left Brodmann Area 40 (BA40) of the brain that correspond with the strength of memory encoding or correct recall. The signal processing method detects high-gamma and beta band oscillations in the electrical signals recorded from left BA40, and quantifies the spectral content, power, duration, onset, and offset of the oscillations. The oscillation's properties are used to classify the subject's memory performance on the basis of a comparison with the subject's prior human memory performance and the properties of the corresponding oscillations. A report of the subject's current memory performance can be utilized in a closed loop brain stimulation device that serves the purpose of enhancing human memory performance.

Abstract: A device and a signal processing method that can monitor human memory performance by recognizing and characterizing high-gamma (65-250 Hz) and beta (14-30 Hz) band oscillations in the left Brodmann Area 40 (BA40) of the brain that correspond with the strength of memory encoding or correct recall. The signal processing method detects high-gamma and beta band oscillations in the electrical signals recorded from left BA40, and quantifies the spectral content, power, duration, onset, and offset of the oscillations. The oscillation's properties are used to classify the subject's memory performance on the basis of a comparison with the subject's prior human memory performance and the properties of the corresponding oscillations. A report of the subject's current memory performance can be utilized in a closed loop brain stimulation device that serves the purpose of enhancing human memory performance.

Abstract: 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.

Abstract: 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.

Abstract: A system for reducing the effects of unwanted software (“malware”) is described having a user computing device which runs on a user operating system (UOS) and a user web browser coupled by a limited communication link to a host computing device including VM executable code for emulating a virtual machine, a virtual OS which runs on the virtual machine and a web browser adapted to run on the virtual OS. The limited communication link connected between the user computing device and the host computing device is adapted to pass certain user input communications (signals from the input devices) from the user computing device to the host computing device; and pass certain output communications (signals to output devices) from the host computing device to the user computing device thereby restricting malware from being introduced to the user computing device.

Abstract: A device and a signal processing method that can monitor human memory performance by recognizing and characterizing high-gamma (65-250 Hz) and beta (14-30 Hz) band oscillations in the left Brodmann Area 40 (BA40) of the brain that correspond with the strength of memory encoding or correct recall. The signal processing method detects high-gamma and beta band oscillations in the electrical signals recorded from left BA40, and quantifies the spectral content, power, duration, onset, and offset of the oscillations. The oscillation's properties are used to classify the subject's memory performance on the basis of a comparison with the subject's prior human memory performance and the properties of the corresponding oscillations. A report of the subject's current memory performance can be utilized in a closed loop brain stimulation device that serves the purpose of enhancing human memory performance.

Abstract: 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.

Abstract: A system for reducing the effects of unwanted software (“malware”) is described having a user computing device which runs on a user operating system (UOS) and a user web browser coupled by a limited communication link to a host computing device including VM executable code for emulating a virtual machine, a virtual OS which runs on the virtual machine and a web browser adapted to run on the virtual OS. The limited communication link connected between the user computing device and the host computing device is adapted to pass certain user input communications (signals from the input devices) from the user computing device to the host computing device; and pass certain output communications (signals to output devices) from the host computing device to the user computing device thereby restricting malware from being introduced to the user computing device.