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AssigneeCortec Corporation
InventorJörn Rickert
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There is provided a method for reconstructing intended activities from a first representation of neural signals which is indicative of an intended activity to a second representation, wherein for second representations, a degree of agreement between the first representation and each second representation from a plurality of predetermined second representations that are indicative of intended activities is determined on the basis of a predetermined agreement criterion, and a second representation of neural signals is selected from the plurality of second representations on the basis of the degree of agreement, which selected second representation is the reconstructed intended activity.
A method for reconstruction of intended activities from a first representation of neural signals which is indicative of an intended activity, wherein the first representation is generated using a predetermined method from the neural signals, for each second representation from a plurality of predetermined second representations, each of which being representative of a predetermined activity, wherein the plurality of predetermined second representation are generated from predetermined activities, a degree of correspondence is determined respectively between each of the respective second representations and the first representation according to a predetermined correspondence criterion, and depending on the degree of correspondence, a single second representation of the neural signals from the plurality of second representations is selected as the second representation representative of the intended activity, and the activity represented by the selected representation is reconstructed as the intended activity, wherein the determination of the degree of correspondence in accordance with the correspondence criterion comprises a determination of a total correspondence probability for each second representation from the plurality of second representations, wherein the total correspondence probability from a combination of first partial probabilities, which are created for each second representation from the plurality of second representations and wherein the total correspondence probability for each second representation indicates the probability with which the respective second representation of the first representation is assignable, and wherein forming the first partial probabilities comprises at least one of
A method of for reconstruction of intended activities from a first representation of neural signals which is indicative of an intended activity, wherein the first representation is generated using a predetermined method from the neural signals, for each second representation from a plurality of predetermined second representations, each of which being representative of a predetermined activity, wherein the plurality of predetermined second representation are generated from predetermined activities, a degree of correspondence is determined respectively between each of the respective second representations and the first representation according to a predetermined correspondence criterion, and depending on the degree of correspondence, a single second representation of the neural signals from the plurality of second representations is selected as the second representation representative of the intended activity, and the activity represented by the selected representation is reconstructed as the intended activity, wherein plurality of predetermined second representations is stored in a database, and wherein for each second representation, a selection frequency, and/or for the second representations stored in the database, a number of selection sequences is stored in the database.
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