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: 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.