Abstract: The present disclosure provides, method, a system, and apparatus for identifying odorants. For example, the apparatus performs sensing an odorant using an olfactory sensor, encoding the sensed odorant to an electrical signal using an input processor, determining an identity representation of the odorant based on the encoded electrical signal, and determining odorant information using a time-dependent hash code based on the identity representation of the odorant.

Abstract: The present disclosure provides, method, a system, and apparatus for identifying odorants. For example, the apparatus performs sensing an odorant using an olfactory sensor, encoding the sensed odorant to an electrical signal using an input processor, determining an identity representation of the odorant based on the encoded electrical signal, and determining odorant information using a time-dependent hash code based on the identity representation of the odorant.

Abstract: Systems and methods for the detection of motion in a multi-dimensional signal are provided. According to aspects of the disclosure, data representing a time sequence of frames of a video stream is received. A multi-dimensional Gaussian window in is then constructed. Each frame of the received data is divided into a plurality of blocks and, for each block in the plurality of blocks, each pixel in the block is multiplied with a corresponding pixel of the Gaussian window to obtain a windowed video block. The FFT of the windowed video block is computed to obtain an amplitude and phase thereof. The occurrence of motion in the block is then determined based on the computed phase of the windowed video block.

Abstract: Systems and methods for the detection of motion in a multi-dimensional signal are provided. According to aspects of the disclosure, data representing a time sequence of frames of a video stream is received. A multi-dimensional Gaussian window in is then constructed. Each frame of the received data is divided into a plurality of blocks and, for each block in the plurality of blocks, each pixel in the block is multiplied with a corresponding pixel of the Gaussian window to obtain a windowed video block. The FFT of the windowed video block is computed to obtain an amplitude and phase thereof. The occurrence of motion in the block is then determined based on the computed phase of the windowed video block.

Abstract: Systems and methods for channel identification, encoding and decoding signals, where the signals can have one or more dimensions, are disclosed. An exemplary method can include receiving the input signals and processing the input signals to provide a first output. The method can also encode the first output, at an asynchronous encoder, to provide encoded signals.

Abstract: Techniques for the identification of a spike-processing circuit are provided. An exemplary method includes receiving spike trains corresponding to a circuit input over a time period, and selecting a number of spikes for each of input spike trains over a predetermined time window. Each of the selected spikes can be replaced with a sampled reproducing kernel to obtain a plurality of signals, and each obtained signal can correspond to one of the input spike trains. Each of the obtained signals can be passed through a plurality of receptive fields or filters to obtain an aggregate filter output signal. The filter output signal can be encoded into an output spike train, and the output spike train can correspond to a response of the circuit to the plurality of input spike trains.

Abstract: Techniques for the identification of a spike-processing circuit are provided. An exemplary method includes receiving spike trains corresponding to a circuit input over a time period, and selecting a number of spikes for each of input spike trains over a predetermined time window. Each of the selected spikes can be replaced with a sampled reproducing kernel to obtain a plurality of signals, and each obtained signal can correspond to one of the input spike trains. Each of the obtained signals can be passed through a plurality of receptive fields or filters to obtain an aggregate filter output signal. The filter output signal can be encoded into an output spike train, and the output spike train can correspond to a response of the circuit to the plurality of input spike trains.

Abstract: Methods for decoding a signal encoded by a Time Encoding Machine (TEM) include defining a plurality of time-windows, each time-window corresponding to a portion of a TEM-encoded signal and made up of a plurality of trigger values, at least two of the time-windows overlapping, decoding each of the time-windows using a Time Decoding Machine (TDM) to generate a decoded time-window, and stitching the decoded time-windows together to generate a TEM-decoded signal.

Abstract: Methods and systems for encoding and decoding signals using a Multi-input Multi-output Time Encoding Machine (TEM) and Time Decoding Machine are disclosed herein.

Abstract: Techniques for reconstructing a signal encoded with a time encoding machine (TEM) using a recurrent neural network including receiving a TEM-encoded signal, processing the TEM-encoded signal, and reconstructing the TEM-encoded signal with a recurrent neural network.

Abstract: Systems and methods for system identification, encoding and decoding signals in a non-linear system are disclosed. An exemplary method can include receiving the one or more input signals and performing dendritic processing on the input signals. The method can also encode the output of the dendritic processing of the input signals, at a neuron, to provide encoded signals.

Abstract: Systems and methods for system identification, encoding and decoding multi-component signals are disclosed. An exemplary method can include receiving the one or more multi-component signals and separating the multi-component signals into channels. The method can also filter each of the channels using receptive field components. The values for the receptive field components can be aggregated and provided to neurons for encoding.

Abstract: Systems for untethered sensing and recording of activity of one or more electrically excitable cells in a target region includes at least one untethered probe. Each untethered probe includes at least one signal detector, configured to electrically couple to the target region, measure the activity of the one or more electrically excitable cells, and produce an electrical signal in response to the activity of the one or more electrically excitable cells, and at least one light source, electrically coupled to the at least one signal detector, to receive the electrical signal and emit a light signal representing the activity of the one or more electrically excitable cells. Methods for untethered sensing and recording of activity of one or more electrically excitable cells in a target region are also provided.

Abstract: Techniques for reconstructing a signal encoded with a time encoding machine (TEM) using a recurrent neural network including receiving a TEM-encoded signal, processing the TEM-encoded signal, and reconstructing the TEM-encoded signal with a recurrent neural network.

Abstract: Method for identification of at least one parameter of a sampling system includes transmitting at least one input signal to at least one channel of the sampling system; measuring at least one output signal of the sampling system in response to sampling of the at least one input signal by the receiver; and determining, using a processor, the at least one parameter of the sampling system using the at least one input signal and the at least one output signal of the sampling system. A system for identification of at least one parameter relating to a sampling system in response to at least one input signal is also provided.

Abstract: A method for controlling access to a system of finite resources with excess demand employs a two stage admission process. Subscribers are first admitted based on an initial bid price and resource availability. The market price is determined by the highest bid price among the rejected arrivals in the current batch. Admitted subscribers are then given the option to secure continued access to the resource by accepting a fee-based reservation. The fee for the reservation is determined in a manner which is fair to the reserving subscriber, as well as all other subscribers, in that the reservation fee is priced to provide access at a cost which prevents arbitraging opportunities. If the current market price exceeds a non-reserved subscriber's bid price, that non-reserved subscriber is displaced. If the current market price exceeds a reserved subscriber's bid price, that reserved subscriber's reservation is activated and access to the resource continues.

Abstract: Methods and systems for encoding and decoding signals using a Multi-input Multi-output Time Encoding Machine (TEM) and Time Decoding Machine are disclosed herein.

Abstract: Methods and systems for encoding and decoding signals using a Multi-input Multi-output Time Encoding Machine (TEM) and Time Decoding Machine are disclosed herein.

Abstract: Methods for decoding a signal encoded by a Time Encoding Machine (TEM) include defining a plurality of time-windows, each time-window corresponding to a portion of a TEM-encoded signal and made up of a plurality of trigger values, at least two of the time-windows overlapping, decoding each of the time-windows using a Time Decoding Machine (TDM) to generate a decoded time-window, and stitching the decoded time-windows together to generate a TEM-decoded signal.

Abstract: Methods and systems for encoding and decoding signals using a Multi-input Multi-output Time Encoding Machine (TEM) and Time Decoding Machine are disclosed herein.