Abstract: Techniques for registering carbon sequestration include: receiving carbon sequestration data corresponding portions of a geographic region; comparing entries to a registry; assigning entries to clusters associated with carbon sequestration values; and determining a total carbon sequestration based on an aggregating of carbon sequestration values of the entries. In another aspect, a register-based carbon sequestration may utilize continuous learning, including generating estimates of carbon sequestration based on high-resolution aerial LiDAR, multispectral imagery, or the like. Unsupervised learning and a ground-based calibration procedure are usable to delineate distinct forest types within mixed forest area. Such a calibrated carbon sequestration system demonstrates superior accuracy compared to satellite-based analysis, and is able to estimate carbon sequestration on a grid, enabling generalization across multiple forest types and scales of aggregation within a unified framework.

Abstract: Apparatus and methods are described for use with electrophysiological signal detecting electrodes, and a transcranial magnetic stimulation device. A computer processor drives the transcranial stimulation device to apply one or more pulses of transcranial magnetic stimulation to a subject. Within a given time period of applying one of the one or more pulses of transcranial magnetic stimulation to the subject, the computer processor detects an electrophysiological signal of the subject, using the electrophysiological signal detecting electrodes. At least partially in response thereto, the computer processor predicts an outcome of treating the subject for a neuropsychiatric condition, using a given therapy, and generates an output on an output device in response to the predicted outcome. Other applications are also described.

Abstract: A method of analyzing performance of a brain stimulation tool is disclosed. The method comprises: obtaining encephalography data collected from a brain of a subject electrically stimulated by at least one of the electrode contacts of the brain stimulation tool; segmenting the data into a plurality of epochs, each corresponding to a single stimulation event generated by the brain stimulation tool; and applying a spatiotemporal analysis to the epochs so as to determine at least one of (i) location of the at least one electrode contact in the brain, and (ii) therapeutic effect of the at least one electrode contact.

Abstract: Apparatus and methods are described for use with electrophysiological signal detecting electrodes, and a transcranial magnetic stimulation device. A computer processor drives the transcranial stimulation device to apply one or more pulses of transcranial magnetic stimulation to a subject. Within a given time period of applying one of the one or more pulses of transcranial magnetic stimulation to the subject, the computer processor detects an electrophysiological signal of the subject, using the electrophysiological signal detecting electrodes. At least partially in response thereto, the computer processor predicts an outcome of treating the subject for a neuropsychiatric condition, using a given therapy, and generates an output on an output device in response to the predicted outcome. Other applications are also described.