Neural processing devices for handling real-valued inputs
AssigneesUniversity College London, King's College London
InventorsJohn G. Taylor, Denise Gorse, Trevor G. Clarkson
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AssigneesUniversity College London, King's College London
InventorsJohn G. Taylor, Denise Gorse, Trevor G. Clarkson
Estimating the term…
A device for use in a neural processing network. The network includes a memory having a plurality of storage locations each having stored a number representing a probability. Each storage location is selectively addressible to cause the contents of the location to be read to an input of a comparator. A noise generator inputs to the comparator a random number representing noise. At an output of the comparator, an output signal appears having a first or second value depending on the values of the numbers received from the addressed storage location and the noise generator. The probability of the output signal has a given one of the first and second values determined by the number at the addressed location. The address inputs for the memory are derived from a real-to-spike frequency translator which has real values as its input vector.
A device for use in a neural processing network, comprising a memory having a plurality of storage locations at each of which a number representing a probability is stored;
A device for use in a neural processing network, comprising a memory having address lines and a plurality of storage locations at each of which a number representing a probability is stored;
Dependencies are inferred from the claim text.