Abstract: Embodiments of this invention generally relate to systems and methods for eye imaging, and more particularly to measuring the size and position of the lens capsule and of the implanted intraocular lens. In one embodiment, a method for measuring the size and position of the lens capsule and of the implanted intraocular lens comprises generating and emitting one or more light beams at an angle adjacent to the eye, generating one or more eye images, and detecting the position and/or boundary of a lens capsule from its shadow casted by reflected light on the iris.

Abstract: A method of audio source segregation includes selecting an audio attribute of an audio signal. The method also includes representing a portion of the audio attribute that is dominated by a single source as a source spiking event. In addition, the method includes representing a remaining portion of the audio signal as an audio signal spiking event. The method further includes determining whether the remaining portion coincides with the single source based on coincidence of the source spiking event and audio signal spiking event.

Abstract: Embodiments of this invention generally relate to systems and methods for eye imaging, and more particularly to measuring the size and position of the lens capsule and of the implanted intraocular lens. In one embodiment, a method for measuring the size and position of the lens capsule and of the implanted intraocular lens comprises generating and emitting one or more light beams at an angle adjacent to the eye, generating one or more eye images, and detecting the position and/or boundary of a lens capsule from its shadow casted by reflected light on the iris.

Abstract: A method for maintaining a state variable in a synapse of a neural network includes maintaining a state variable in an axon. The state variable in the axon may be updated based on an occurrence of a first predetermined event. The method also includes updating the state variable in the synapse based on the state variable in the axon and an occurrence of a second predetermined event.

Abstract: Certain aspects of the present disclosure provide methods and apparatus for identifying spectral peaks in a neuronal spiking representation of a signal, such as an auditory signal. One example method generally includes receiving a signal; filtering the signal into a plurality of channels using a plurality of filters having different frequency passbands; sending the filtered signal in each of the channels to a first type of spiking neuron model; sending the filtered signal in each of the channels to a second type of spiking neuron model; and identifying one or more spectral peaks in the signal based on a first output of the first type of spiking neuron model and a second output of the second type of spiking neuron model for each of the channels.

Abstract: A method of executing co-processing in a neural network comprises swapping a portion of the neural network to a first processing node for a period of time. The method also includes executing the portion of the neural network with the first processing node. Additionally, the method includes returning the portion of the neural network to a second processing node after the period of time. Further, the method includes executing the portion of the neural network with the second processing node.

Abstract: A method of dynamically modifying target selection with a neural network includes dynamically modifying a selection function by controlling an amount of imbalance of connections in the neural network. A selected neuron represents one of multiple candidate targets.

Abstract: A method of audio source segregation includes selecting an audio attribute of an audio signal. The method also includes representing a portion of the audio attribute that is dominated by a single source as a source spiking event. In addition, the method includes representing a remaining portion of the audio signal as an audio signal spiking event. The method further includes determining whether the remaining portion coincides with the single source based on coincidence of the source spiking event and audio signal spiking event.

Abstract: Values are synchronized across processing blocks in a neural network by encoding spikes in a first processing block with a value to be shared across the neural network. The spikes may be transmitted to a second processing block in the neural network via an interblock interface. The received spikes are decoded in the second processing block so as to generate a value that is synchronized with the value of the first processing block.

Abstract: Apparatus to treat an eye with an ophthalmic laser system comprises a patient interface having an annular retention structure to couple to an anterior surface of the eye. The retention structure is coupled to a suction line to couple the retention structure to the eye with suction. Liquid is added above the eye to act as a transmissive medium. A coupling sensor is coupled to the suction line to determine coupling of the retention structure to the eye. A separate pressure monitoring circuit having a much smaller volume than the suction line is connected to the annular retention structure to measure suction pressure therein. A system processor coupled to the monitoring pressure sensor includes instructions to interrupt firing of a laser when the pressure measured with a monitoring pressure sensor rises above a threshold amount.

Abstract: Methods and apparatus are provided for effecting modulation using global scalar values in a spiking neural network. One example method for operating an artificial nervous system generally includes determining one or more updated values for artificial neuromodulators to be used by a plurality of entities in a neuron model and providing the updated values to the plurality of entities.

Abstract: Orthopedic device for treating neuropathic ulcers and other injuries while allowing easy access to the wound site on the plantar surface of a patient's foot includes a base portion and a sole that is either movably connected or removably connected to either the base or to a strut member. The base or strut is maintained in position on the lower leg while the sole may be rotated, slid, or completely removed for allowing inspection and access to the plantar surface of the patient's foot.

Abstract: An artificial neural network may be configured to test the impact of certain input parameters. To improve testing efficiency and to avoid test runs that may not alter system performance, the effect of input parameters on neurons or groups of neurons may be determined to classify the neurons into groups based on the impact of certain parameters on those groups. Groups may be ordered serially and/or in parallel based on the interconnected nature of the groups and whether the output of neurons in one group may affect the operation of another. Parameters not affecting group performance may be pruned as inputs to that particular group prior to running system tests, thereby conserving processing resources during testing.

Abstract: Certain aspects of the present disclosure provide methods and apparatus for generating neural adaptive behavior, which may be based on neuromodulator-mediated meta-plasticity and/or gain control. In this manner, flexible associations between sensory cues and motor actions are generated, which enable an agent to efficiently gather rewards in a changing environment. One example method generally includes receiving one or more input stimuli; processing the received input stimuli to generate an output signal, wherein the processing is modulated with a first neuromodulation signal generated by a gain control unit; controlling the gain control unit to switch between at least two different neural activity modes, wherein at least one of a level or timing of the first neuromodulation signal generated by the gain control unit is determined based on the neural activity modes; and sending the output signal to an output unit.

Abstract: Some embodiments disclosed here provide for a method fragmenting a cataractous lens of a patient's eye using an ultra-short pulsed laser. The method can include determining, within a lens of a patient's eye, a high NA zone where a cone angle of a laser beam with a high numerical aperture is not shadowed by the iris, and a low NA zone radially closer to the iris where the cone angle of the laser beam with a low numerical aperture is not shadowed by the iris. Laser lens fragmentation is accomplished by delivering the laser beam with the high numerical aperture to the high NA zone, and the laser beam with the low numerical aperture to the low NA zone. This can result in a more effective fragmentation of a nucleus of the lens without exposing the retina to radiation above safety standards.

Abstract: Embodiments of this invention generally relate to systems and methods for eye imaging, and more particularly to measuring the size and position of the lens capsule and of the implanted intraocular lens. In one embodiment, a method for measuring the size and position of the lens capsule and of the implanted intraocular lens comprises generating and emitting one or more light beams at an angle adjacent to the eye, generating one or more eye images, and detecting the position and/or boundary of a lens capsule from its shadow casted by reflected light on the iris.

Abstract: Embodiments of this invention relate to systems and methods for automatic depth (or Z) detection before, during, or after laser-assisted ophthalmic surgery. When performing ophthalmic laser surgery, the operator (or surgeon) needs to make accurate and precise incisions using the laser beam. With the automatic depth detection systems and methods, the same laser used for the surgical procedure may be used for depth measurement of the surgical incisions. The surgical laser system may include a laser delivery system for delivering a pulsed laser beam to photoalter an eye, a mirror to transmit at least a portion of reflected light of the pulsed laser beam, a lens positioned to focus the transmitted reflected lighted on to a detector, (such as a CCD), and a depth encoder configured to automatically detect depth according to one or more of color, intensity, or shape of the focused spot on the CCD.

Abstract: Systems and methods for locating the center of a lens in the eye are provided. These systems and methods can be used to improve the effectiveness of a wide variety of different ophthalmic procedures. In one embodiment, a system and method is provided for determining the center of eye lens by illuminating the eye with a set of light sources, and measuring the resulting first image of the light sources reflected from an anterior surface of the lens and the resulting second image of the light sources reflected from a posterior surface of the lens. The location of the center of the lens of the eye is then determined using the measurements. In one embodiment, the center of the lens is determined by interpolating between the measures of the images. Such a determination provides an accurate location of the geometric center of the lens.

Abstract: Certain aspects of the present disclosure provide methods and apparatus for performing onset detection in a neuronal spiking representation of a signal, such as an auditory signal. One example method generally includes receiving a signal; filtering the signal into a plurality of channels using a plurality of filters having different frequency passbands; sending the filtered signal in each of the channels to a first type of spiking neuron model; sending the filtered signal in each of the channels to a second type of spiking neuron model; and detecting one or more onsets of the signal based on a first output of the first type of spiking neuron model and a second output of the second type of spiking neuron model for each of the channels.

Abstract: Certain aspects of the present disclosure provide methods and apparatus for identifying spectral peaks in a neuronal spiking representation of a signal, such as an auditory signal. One example method generally includes receiving a signal; filtering the signal into a plurality of channels using a plurality of filters having different frequency passbands; sending the filtered signal in each of the channels to a first type of spiking neuron model; sending the filtered signal in each of the channels to a second type of spiking neuron model; and identifying one or more spectral peaks in the signal based on a first output of the first type of spiking neuron model and a second output of the second type of spiking neuron model for each of the channels.