Abstract: Systems and methods for reconstructing spiking data from local field potential data are provided. In one implementation, the computer-implemented method may include receiving a training dataset of neural data for at least one subject. The training dataset may include measured field potential data and measured spiking data. In some examples, the method may further include training a neural network architecture to estimate spiking data from the field potential data. The neural network architecture may include a dynamics model.

Abstract: A decision support engine for dynamically scheduling interactions between a first party and a second party includes: a processor and a memory coupled to the processor. The memory having stored therein instructions, that, when executed by the processor, cause the processor to: receive an inputted target file including a target number of first channel interactions and a target number of second channel interactions; receive an inputted date period; receive calendar data of the first party; distribute the first and second channel interactions over the date period; compare the date of a first one of the assigned first channel interactions with the corresponding date of the first party's calendar data, and when the calendar data indicates there is a conflict, shifting the first one of the assigned first channel interactions by one day and comparing the new date with the corresponding date of calendar data.

Abstract: The system for implementing Customized Pricing includes, in a preferred embodiment, four modules operable within a server or workstation environment, including a CP Statistics Calibration module, a CP Pricer, a CP Strategy Tool, and a CP Performance Monitor. The CP Statistics Calibration module examines the historical pricing proposals and their corresponding subsequent fulfillment data (e.g., what products were delivered at the offered prices). The historical pricing proposals are generated from or stored within databases coupled to the system. The CP Statistics Calibration module generates the market response parameters that are key to quantifying predicted future buyer behavior. Customer response behavior to various offers for products is preferably modeled using a Zero Inflated Regression Model approach. The CP Pricer software module is operative to construct a pricing proposal using the market response parameters generated by the CP Statistics Calibration module.

Abstract: A system to provide access to information related to an audio or video signal being distributed to a multiplicity of people at a given time includes a watermarking arrangement for inserting identification codes into the audio or video signal before or at the time of distribution, the codes consisting of information identifying the time of distribution and the identity of the distributor, a reader for reading the identification codes and associating a block of data stored in a data store with the identification codes, and a communicator, such as, a mobile phone for one or more person who has received the audio or video signal to access the block of data using either the identification codes or the identity of the distributor and the time of distribution.