Abstract: A system comprises a memory, an input device, an output device, and one or more processers. The memory stores weights for a machine learning model. The weights are trained on a training data of a training set. The training data includes patient attributes, types of stimulation, and measured brain response signals. The input device is configured to receive one or more attributes of a patient. The output device is configured to output at least one of audio or visual stimulation of the patient. The one or more processors are configured to determine a type of stimulation for providing to the patent, by applying the one or more attributes to the machine learning model, and transmit generate a control signal for the output device, to cause the output device to output the type of stimulation to the patient.

Abstract: A system comprises a memory and one or more processors. The memory stores weights for a machine learning model. The weights are trained on a training data of a training set. The training data includes input audio signals, patient attributes, and measured brain response signals. The one or more processors are configured to receive an audio signal, determine a predicted brain response signal for the audio signal by applying the audio signal to the machine learning model, generate a flag for the audio signal based on whether the predicted brain response signal satisfies one or more stimulation criterion.

Abstract: A system comprising an output device, a brain oscillation monitor, and one or more processors. The output device is configured to output an audio signal for audio stimulation of the patient, and a visual pattern for video stimulation of the patient. The brain oscillation monitor is configured to generate feedback indicative of a response to the audio stimulation and the visual stimulation. The one or more processors are configured to determine a target frequency for the audio stimulation and the visual stimulation. The one or more processors are further configured to cause constructive interference of the audio stimulation and the visual stimulation output by the output device at the target frequency, by modifying at least one of a phase of the visual pattern or an amplitude of onsets for the visual pattern, relative to the audio signal, according to the feedback from the brain oscillation monitor.

Abstract: A method comprises receiving one or more attributes of a patient and receiving a plurality of audio content from a data source associated with the patient. A prediction of an amplitude of a brain response signal at a target frequency and an affinity score is generated, for at least some of the plurality of audio content. First audio content is selected from the plurality of audio content, based on the prediction of the amplitude and the affinity score for the first audio content. A control signal is transmitted to an output device, to cause the output device to render the first audio content to provide audio stimulation to the patient.

Abstract: Systems and methods for counter-phased stimulation may include one or more processors which identify a target frequency of a stimulation response. The one or more processors may transmit one or more signals to the one or more output devices, to simultaneously provide first stimulation at a first frequency and second stimulation at a second frequency, the first frequency being different than and counterphased to the second frequency, the first stimulation and the second stimulation producing the stimulation response at the target frequency.

Abstract: Systems and methods for visualizations of music may include one or more processors which receive an audio input, and compute a simulation of a human auditory periphery using the audio input. The processor(s) may generate one or more visual patterns on a visual display, according to the simulation, the one or visual patterns synchronized to the audio input.

Abstract: Systems and methods for counter-phased binocular stimulation may include a device that determines a target frequency of a stimulation response. The device may output a first visual stimulation at a first frequency and a first phase to a first eye. The device may output a second visual stimulation at a second frequency and a second phase to a second eye. The first visual stimulation and the second visual stimulation may together produce the stimulation response at the target frequency.

Abstract: Systems and methods for visualizations of music may include one or more processors which receive an audio input, and compute a simulation of a human auditory periphery using the audio input. The processor(s) may generate one or more visual patterns on a visual display, according to the simulation, the one or visual patterns synchronized to the audio input.

Abstract: Systems and methods for counter-phased binocular stimulation may include a device that determines a target frequency of a stimulation response. The device may output a first visual stimulation at a first frequency and a first phase to a first eye. The device may output a second visual stimulation at a second frequency and a second phase to a second eye. The first visual stimulation and the second visual stimulation may together produce the stimulation response at the target frequency.

Abstract: Systems and methods for treating cognitive dysfunction are disclosed. The system can include a sound source, a light source, an input device, and a neural stimulation system that retrieves or selects a stimulation profile. The stimulation profile can include one or more musical pieces for playback and one or more rhythmic stimulation patterns having variable parameters, and time-varying signal properties that can be tuned to music. The system can select the signal properties of rhythmic stimulation based on analysis of the music, measure the physiological condition of the subject, and further adjust the rhythmic stimulation based on neural responses. The neural stimulation system can play back the selected musical pieces to direct sound toward the ear, or respond to ambient musical sounds detected by a microphone, and set the values of the variable parameters and properties of the rhythmic pattern, construct an output signal, and provide an output signal.

Abstract: Systems and methods for counter-phased binocular stimulation may include a device that determines a target frequency of a stimulation response. The device may output a first visual stimulation at a first frequency and a first phase to a first eye. The device may output a second visual stimulation at a second frequency and a second phase to a second eye. The first visual stimulation and the second visual stimulation may together produce the stimulation response at the target frequency.

Abstract: Systems and methods for visualizations of music may include one or more processors which receive an audio input, and compute a simulation of a human auditory periphery using the audio input. The processor(s) may generate one or more visual patterns on a visual display, according to the simulation, the one or visual patterns synchronized to the audio input.

Abstract: A controller for real-time visual display of music includes a music analysis module and a display control module. The music analysis module receives an audio input, determines human perceived musical structures, human felt affect and emotion as a function of the audio input, and outputs a signal corresponding to the determined structure, affect and emotion. The display control module is operatively coupled to the music analysis module and receives the signal and controls a visual display as a function thereof to express the determined musical structure, affect and emotion in a visual manner.