Patents by Inventor Jeffrey L. Krichmar
Jeffrey L. Krichmar has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Publication number: 20170213134Abstract: Example embodiments for efficient neuromorphic population coding are described. In one case, individual instances of input stimuli are evaluated using a set of feature encoding units to generate a population of encoded feature values. The population of encoded values for each of the individual input stimuli are arranged into a population code matrix. The population code matrix is factorized into a basis element matrix and a contribution coefficient matrix based on a number of basis vectors, where the number of basis vectors is selected to balance sparseness in the basis element matrix and reconstruction error of the population code matrix from the basis element matrix and the contribution coefficient matrix. The embodiments are compatible with neuromorphic hardware and can achieve compact representation of high-dimensional data, infer latent variables in the data, and defer processing to an off-line training phase to save time during real-time data capture and evaluation.Type: ApplicationFiled: January 27, 2017Publication date: July 27, 2017Inventors: Michael Beyeler, Nikil D. Dutt, Jeffrey L. Krichmar
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Patent number: 8583286Abstract: A brain-based device (BBD) for moving in a real-world environment has sensors that provide data about the environment, actuators to move the BBD, and a hybrid controller which includes a neural controller having a simulated nervous system being a model of selected areas of the human brain and a non-neural controller based on a computational algorithmic network. The neural controller and non-neural controller interact with one another to control movement of the BBD.Type: GrantFiled: April 4, 2012Date of Patent: November 12, 2013Assignee: Neurosciences Research Foundation, Inc.Inventors: Jason G. Fleischer, Botond Szatmáry, Donald B. Hutson, Douglas A. Moore, James A. Snook, Gerald M. Edelman, Jeffrey L. Krichmar
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Publication number: 20130274919Abstract: A mobile brain-based device BBD includes a mobile base equipped with sensors and effectors (Neurally Organized Mobile Adaptive Device or NOMAD), which is guided by a simulated nervous system that is an analogue of cortical and sub-cortical areas of the brain required for visual processing, decision-making, reward, and motor responses. The brain-based device BBD learns to discriminate among multiple objects with shared visual features, and associated “target” objects with innately preferred auditory cues. The brain-based device BBD is moveable, in a rich real-world environment involving continual changes in the size and location of visual stimuli due to self-generated or autonomous, movement, and shows that reentrant connectivity and dynamic synchronization provide an effective mechanism for binding the features of visual objects so as to reorganize object features such as color, shape and motion while distinguishing distinct objects in the environment.Type: ApplicationFiled: June 11, 2013Publication date: October 17, 2013Inventors: Anil K. Seth, Jeffrey L. McKinstry, Gerald M. Edelman, Jeffrey L. Krichmar
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Publication number: 20120323832Abstract: A special purpose processor (SPP) can use a Field Programmable Gate Array (FPGA) or similar programmable device to model a large number of neural elements. The FPGAs can have multiple cores doing presynaptic, postsynaptic, and plasticity calculations in parallel. Each core can implement multiple neural elements of the neural model.Type: ApplicationFiled: February 24, 2012Publication date: December 20, 2012Applicant: NEUROSCIENCES RESEARCH FOUNDATION, INC.Inventors: James A. Snook, Donald B. Hutson, Jeffrey L. Krichmar
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Patent number: 8285657Abstract: A brain-based device (BBD) having a physical mobile device NOMAD controlling and under control by a simulated nervous system. The simulated nervous system is based on an intricate anatomy and physiology of the hippocampus and its surrounding neuronal regions including the cortex. The BBD integrates spatial signals from numerous objects in time and provides flexible navigation solutions to aid in the exploration of unknown environments. As NOMAD navigates in its real world environment, the hippocampus of the simulated nervous system organizes multi-modal input information received from sensors on NOMAD over timescales and uses this organization for the development of spatial and episodic memories necessary for navigation.Type: GrantFiled: November 24, 2010Date of Patent: October 9, 2012Assignee: Neuroscience Research Foundation, Inc.Inventors: Gerald M. Edelman, Jeffrey L. Krichmar, Douglas A. Nitz
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Publication number: 20120209432Abstract: A brain-based device (BBD) for moving in a real-world environment has sensors that provide data about the environment, actuators to move the BBD, and a hybrid controller which includes a neural controller having a simulated nervous system being a model of selected areas of the human brain and a non-neural controller based on a computational algorithmic network. The neural controller and non-neural controller interact with one another to control movement of the BBD.Type: ApplicationFiled: April 4, 2012Publication date: August 16, 2012Applicant: NEUROSCIENCES RESEARCH FOUNDATION, INC.Inventors: Jason G. Fleischer, Botond Szatmary, Donald B. Hutson, Douglas A. Moore, James A. Snook, Gerald M. Edelman, Jeffrey L. Krichmar
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Publication number: 20120173020Abstract: A mobile brain-based device BBD includes a mobile base equipped with sensors and effectors (Neurally Organized Mobile Adaptive Device or NOMAD), which is guided by a simulated nervous system that is an analogue of cortical and sub-cortical areas of the brain required for visual processing, decision-making, reward, and motor responses. The brain-based device BBD learns to discriminate among multiple objects with shared visual features, and associated “target” objects with innately preferred auditory cues. The brain-based device BBD is moveable, in a rich real-world environment involving continual changes in the size and location of visual stimuli due to self-generated or autonomous, movement, and shows that reentrant connectivity and dynamic synchronization provide an effective mechanism for binding the features of visual objects so as to reorganize object features such as color, shape and motion while distinguishing distinct objects in the environment.Type: ApplicationFiled: November 30, 2011Publication date: July 5, 2012Applicant: NEUROSCIENCES RESEARCH FOUNDATION, INC.Inventors: Anil K. Seth, Jeffrey L. McKinstry, Gerald M. Edelman, Jeffrey L. Krichmar
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Patent number: 8131658Abstract: A mobile brain-based device (BBD) includes a mobile platform with sensors and effectors, which is guided by a simulated nervous system that is an analogue of the cerebellar areas of the brain used for predictive motor control to determine interaction with a real-world environment. The simulated nervous system has neural areas including precerebellum nuclei (PN), Purkinje cells (PC), deep cerebellar nuclei (DCN) and an inferior olive (IO) for predicting turn and velocity control of the BBD during movement in a real-world environment. The BBD undergoes training and testing, and the simulated nervous system learns and performs control functions, based on a delayed eligibility trace learning rule.Type: GrantFiled: October 28, 2010Date of Patent: March 6, 2012Assignee: Neurosciences Research Foundation, Inc.Inventors: Jeffrey L. McKinstry, Gerald M. Edelman, Jeffrey L. Krichmar
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Patent number: 8126828Abstract: A special purpose processor (SPP) for implementing a synthetic neural model of the biological anatomy of the human brain to control a brain-based device (BBD) that is movable in a real-world environment, including neural processing units (NPUs), each having a programmed processor and a local memory that stores data records of neural elements, a system memory for storing data about all the NPUs, and a finite state machine and a system bus for transferring data between the NPUs and system memory.Type: GrantFiled: April 9, 2009Date of Patent: February 28, 2012Assignee: Neuroscience Research Foundation, Inc.Inventors: James A. Snook, Donald B. Hutson, Jeffrey L. Krichmar
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Publication number: 20110184556Abstract: A mobile brain-based device BBD includes a mobile base equipped with sensors and effectors (Neurally Organized Mobile Adaptive Device or NOMAD), which is guided by a simulated nervous system that is an analogue of cortical and sub-cortical areas of the brain required for visual processing, decision-making, reward, and motor responses. These simulated cortical and sub-cortical areas are reentrantly connected and each area contains neuronal units representing both the mean activity level and the relative timing of the activity of groups of neurons. The brain-based device BBD learns to discriminate among multiple objects with shared visual features, and associated “target” objects with innately preferred auditory cues. Globally distributed neuronal circuits that correspond to distinct objects in the visual field of NOMAD 10 are activated. These circuits, which are constrained by a reentrant neuroanatomy and modulated by behavior and synaptic plasticity, result in successful discrimination of objects.Type: ApplicationFiled: April 10, 2009Publication date: July 28, 2011Applicant: Neurosciences Research Foundation, Inc.Inventors: Anil K. Seth, Jeffrey L. McKinstry, Gerald M. Edelman, Jeffrey L. Krichmar
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Publication number: 20110071968Abstract: A brain-based device (BBD) having a physical mobile device NOMAD controlling and under control by a simulated nervous system. The simulated nervous system is based on an intricate anatomy and physiology of the hippocampus and its surrounding neuronal regions including the cortex. The BBD integrates spatial signals from numerous objects in time and provides flexible navigation solutions to aid in the exploration of unknown environments. As NOMAD navigates in its real world environment, the hippocampus of the simulated nervous system organizes multi-modal input information received from sensors on NOMAD over timescales and uses this organization for the development of spatial and episodic memories necessary for navigation.Type: ApplicationFiled: November 24, 2010Publication date: March 24, 2011Applicant: NEUROSCIENCES RESEARCH FOUNDATION, INC.Inventors: Gerald M. Edelman, Jeffrey L. Krichmar, Douglas A. Nitz
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Publication number: 20110047109Abstract: A mobile brain-based device (BBD) includes a mobile platform with sensors and effectors, which is guided by a simulated nervous system that is an analogue of the cerebellar areas of the brain used for predictive motor control to determine interaction with a real-world environment. The simulated nervous system has neural areas including precerebellum nuclei (PN), Purkinje cells (PC), deep cerebellar nuclei (DCN) and an inferior olive (IO) for predicting turn and velocity control of the BBD during movement in a real-world environment. The BBD undergoes training and testing, and the simulated nervous system learns and performs control functions, based on a delayed eligibility trace learning rule.Type: ApplicationFiled: October 28, 2010Publication date: February 24, 2011Applicant: NEUROSCIENCES RESEARCH FOUNDATION, INC.Inventors: Jeffrey L. McKinstry, Gerald M. Edelman, Jeffrey L. Krichmar
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Publication number: 20110022230Abstract: A brain-based device (BBD) for moving in a real-world environment has sensors that provide data about the environment, actuators to move the BBD, and a hybrid controller which includes a neural controller having a simulated nervous system being a model of selected areas of the human brain and a non-neural controller based on a computational algorithmic network. The neural controller and non-neural controller interact with one another to control movement of the BBD.Type: ApplicationFiled: July 23, 2010Publication date: January 27, 2011Applicant: NEUROSCIENCES RESEARCH FOUNDATION, INC.Inventors: Jason G. Fleischer, Botond Szatmary, Donald B. Hutson, Douglas A. Moore, James A. Snook, Gerald M. Edelman, Jeffrey L. Krichmar
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Patent number: 7844556Abstract: A brain-based device (BBD) having a physical mobile device NOMAD controlling and under control by a simulated nervous system. The simulated nervous system is based on an intricate anatomy and physiology of the hippocampus and its surrounding neuronal regions including the cortex. The BBD integrates spatial signals from numerous objects in time and provides flexible navigation solutions to aid in the exploration of unknown environments. As NOMAD navigates in its real world environment, the hippocampus of the simulated nervous system organizes multi-modal input information received from sensors on NOMAD over timescales and uses this organization for the development of spatial and episodic memories necessary for navigation.Type: GrantFiled: December 9, 2008Date of Patent: November 30, 2010Assignee: Neurosciences Research Foundation, Inc.Inventors: Gerald M. Edelman, Jeffrey L. Krichmar, Douglas A. Nitz
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Patent number: 7827124Abstract: A mobile brain-based device (BBD) includes a mobile platform with sensors and effectors, which is guided by a simulated nervous system that is an analogue of the cerebellar areas of the brain used for predictive motor control to determine interaction with a real-world environment. The simulated nervous system has neural areas including precerebellum nuclei (PN), Purkinje cells (PC), deep cerebellar nuclei (DCN) and an inferior olive (IO) for predicting turn and velocity control of the BBD during movement in a real-world environment. The BBD undergoes training and testing, and the simulated nervous system learns and performs control functions, based on a delayed eligibility trace learning rule.Type: GrantFiled: December 27, 2006Date of Patent: November 2, 2010Assignee: Neurosciences Research Foundation, Inc.Inventors: Jeffrey L. McKinstry, Gerald M. Edelman, Jeffrey L. Krichmar
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Patent number: 7765029Abstract: A brain-based device (BBD) for moving in a real-world environment has sensors that provide data about the environment, actuators to move the BBD, and a hybrid controller which includes a neural controller having a simulated nervous system being a model of selected areas of the human brain and a non-neural controller based on a computational algorithmic network. The neural controller and non-neural controller interact with one another to control movement of the BBD.Type: GrantFiled: September 11, 2006Date of Patent: July 27, 2010Assignee: Neurosciences Research Foundation, Inc.Inventors: Jason G. Fleischer, Botond Szatmary, Donald B. Hutson, Douglas A. Moore, James A. Snook, Gerald M. Edelman, Jeffrey L. Krichmar
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Publication number: 20090240642Abstract: A special purpose processor (SPP) can use a Field Programmable Gate Array (FPGA) or similar programmable device to model a large number of neural elements. The FPGAs can have multiple cores doing presynaptic, postsynaptic, and plasticity calculations in parallel. Each core can implement multiple neural elements of the neural model.Type: ApplicationFiled: April 9, 2009Publication date: September 24, 2009Applicant: NEUROSCIENCES RESEARCH FOUNDATION, INC.Inventors: James A. Snook, Donald B. Hutson, Jeffrey L. Krichmar
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Patent number: 7533071Abstract: A special purpose processor (SPP) can use a Field Programmable Gate Array (FPGA) or similar programmable device to model a large number of neural elements. The FPGAs can have multiple cores doing presynaptic, postsynaptic, and plasticity calculations in parallel. Each core can implement multiple neural elements of the neural model.Type: GrantFiled: June 27, 2006Date of Patent: May 12, 2009Assignee: Neurosciences Research Foundation, Inc.Inventors: James A. Snook, Donald B. Hutson, Jeffrey L. Krichmar
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Patent number: 7519452Abstract: A mobile brain-based device BBD includes a mobile base equipped with sensors and effectors (Neurally Organized Mobile Adaptive Device or NOMAD), which is guided by a simulated nervous system that is an analogue of cortical and sub-cortical areas of the brain required for visual processing, decision-making, reward, and motor responses. These simulated cortical and sub-cortical areas are reentrantly connected and each area contains neuronal units representing both the mean activity level and the relative timing of the activity of groups of neurons. The brain-based device BBD learns to discriminate among multiple objects with shared visual features, and associated “target” objects with innately preferred auditory cues. Globally distributed neuronal circuits that correspond to distinct objects in the visual field of NOMAD 10 are activated. These circuits, which are constrained by a reentrant neuroanatomy and modulated by behavior and synaptic plasticity, result in successful discrimination of objects.Type: GrantFiled: April 13, 2005Date of Patent: April 14, 2009Assignee: Neurosciences Research Foundation, Inc.Inventors: Anil K. Seth, Jeffrey L. McKinstry, Gerald M. Edelman, Jeffrey L. Krichmar
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Publication number: 20090089229Abstract: A brain-based device (BBD) having a physical mobile device NOMAD controlling and under control by a simulated nervous system. The simulated nervous system is based on an intricate anatomy and physiology of the hippocampus and its surrounding neuronal regions including the cortex. The BBD integrates spatial signals from numerous objects in time and provides flexible navigation solutions to aid in the exploration of unknown environments. As NOMAD navigates in its real world environment, the hippocampus of the simulated nervous system organizes multi-modal input information received from sensors on NOMAD over timescales and uses this organization for the development of spatial and episodic memories necessary for navigation.Type: ApplicationFiled: December 9, 2008Publication date: April 2, 2009Applicant: NEUROSCIENCES RESEARCH FOUNDATION, INC.Inventors: Gerald M. Edelman, Jeffrey L. Krichmar, Douglas A. Nitz