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1. US20120308076 - Apparatus and methods for temporally proximate object recognition

Office
United States of America
Application Number 13152105
Application Date 02.06.2011
Publication Number 20120308076
Publication Date 06.12.2012
Grant Number 09122994
Grant Date 01.09.2015
Publication Kind B2
IPC
G06N 3/04
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
3Computer systems based on biological models
02using neural network models
04Architecture, e.g. interconnection topology
CPC
G06N 3/049
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
3Computer systems based on biological models
02using neural network models
04Architectures, e.g. interconnection topology
049Temporal neural nets, e.g. delay elements, oscillating neurons, pulsed inputs
Applicants Filip Lukasz Piekniewski
Brain Corporation
Csaba Petre
Sach Hansen Sokol
Botond Szatmary
Jayram Moorkanikara Nageswaran
Eugene M. Izhikevich
Inventors Filip Lukasz Piekniewski
Csaba Petre
Sach Hansen Sokol
Botond Szatmary
Jayram Moorkanikara Nageswaran
Eugene M. Izhikevich
Agents Gazdzinski & Associates PC
Title
(EN) Apparatus and methods for temporally proximate object recognition
Abstract
(EN)

Object recognition apparatus and methods useful for extracting information from an input signal. In one embodiment, the input signal is representative of an element of an image, and the extracted information is encoded into patterns of pulses. The patterns of pulses are directed via transmission channels to a plurality of detector nodes configured to generate an output pulse upon detecting an object of interest. Upon detecting a particular object, a given detector node elevates its sensitivity to that particular object when processing subsequent inputs. In one implementation, one or more of the detector nodes are also configured to prevent adjacent detector nodes from generating detection signals in response to the same object representation. The object recognition apparatus modulates properties of the transmission channels by promoting contributions from channels carrying information used in object recognition.

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