Abstract: A system for detecting object movement including a sensory network having at least one sensory device using modulated radar for detecting an object in proximity to the sensory network. The sensory network including wireless transmission means and a base station having computer processing means located remote from the sensory network and including wireless transmission means to communicate with the sensory network. The base station having computer readable program code means for causing the computer processing means to analyze data received from the sensory network to determine motion characteristics of the object in proximity to the sensory network.

Abstract: A system for detecting object movement including a sensory network having at least one sensory device using modulated radar for detecting an object in proximity to the sensory network. The sensory network including a wireless transmission system and a base station having a computer processing system located remote from the sensory network and including a wireless transmission system to communicate with the sensory network. The base station having a computer readable program code for causing the computer processing system to analyze data received from the sensory network to determine motion characteristics of the object in proximity to the sensory network.

Abstract: A system for detecting object movement including a sensory network having at least one sensory device using modulated radar for detecting an object in proximity to the sensory network. The sensory network including a wireless transmission system and a base station having a computer processing system located remote from the sensory network and including a wireless transmission system to communicate with the sensory network. The base station having a computer readable program code for causing the computer processing system to analyze data received from the sensory network to determine motion characteristics of the object in proximity to the sensory network.

Abstract: A system for detecting object movement including a sensory network having at least one sensory device using modulated radar for detecting an object in proximity to the sensory network. The sensory network including wireless transmission means and a base station having computer processing means located remote from the sensory network and including wireless transmission means to communicate with the sensory network. The base station having computer readable program code means for causing the computer processing means to analyze data received from the sensory network to determine motion characteristics of the object in proximity to the sensory network.

Abstract: Methods, computer-readable media, and systems are provided for the detection of propagating phase gradients using model field theory of non-Gaussian mixtures. One embodiment of the invention is directed to a method for identifying phase cones in a data set. The method includes generating an initial set of values of parameters (?A,?A,tA) for a preset number of cones, initializing a covariance matrix with high values, evaluating the ratio of volume of a phase cone over total observed space-time volume, comparing the data set with a model, estimating a class probability density function, and generating a revised set of values of parameters (?A,?A,tA).

Abstract: Methods, computer-readable media, and systems are provided for the detection of propagating phase gradients using model field theory of non-Gaussian mixtures. One embodiment of the invention is directed to a method for identifying phase cones in a data set. The method includes generating an initial set of values of parameters (?A,?A,tA) for a preset number of cones, initializing a covariance matrix with high values, evaluating the ratio of volume of a phase cone over total observed space-time volume, comparing the data set with a model, estimating a class probability density function, and generating a revised set of values of parameters (?A,?A,tA).

Abstract: Methods, computer-readable media, and systems are provided for machine learning in a simultaneous recurrent neural network. One embodiment of the invention provides a method including initializing one or more weight in the network, initializing parameters of an extended Kalman filter, setting a Jacobian matrix to an empty matrix, augmenting the Jacobian matrix for each of a plurality of training patterns, adjusting the one or more weights using the extended Kalman filter formulas, and calculating a network output for one or more testing patterns.

Abstract: Disclosed is an isoform-specific antagonist of PAK kinase, which is preferably a molecule capable of modulating an interaction between Nck and a PAK isoform. In particular, ?PAK, ?PAK and ?PAK specific inhibitors are disclosed. Also included are methods of treating diseases, preferably characterised by a defect in nerve regeneration, comprising modulating an activity of a PAK kinase isoform, preferably ?PAK kinase or ?PAK kinase, or both.