Patents by Inventor Fernando M. Maroto

Fernando M. Maroto 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).

  • Method for efficiently simulating the information processing in cells and tissues of the nervous system with a temporal series compressed encoding neural network
    Patent number: 8200593
    Abstract: A neural network simulation represents components of neurons by finite state machines, called sectors, implemented using look-up tables. Each sector has an internal state represented by a compressed history of data input to the sector and is factorized into distinct historical time intervals of the data input. The compressed history of data input to the sector may be computed by compressing the data input to the sector during a time interval, storing the compressed history of data input to the sector in memory, and computing from the stored compressed history of data input to the sector the data output from the sector.
    Type: Grant
    Filed: July 20, 2009
    Date of Patent: June 12, 2012
    Assignee: Corticaldb Inc
    Inventors: Marcos E. Guillen, Fernando M. Maroto
  • Method for efficiently simulating the information processing in cells and tissues of the nervous system with a temporal series compressed encoding neural network
    Publication number: 20110016071
    Abstract: A neural network simulation represents components of neurons by finite state machines, called sectors, implemented using look-up tables. Each sector has an internal state represented by a compressed history of data input to the sector and is factorized into distinct historical time intervals of the data input. The compressed history of data input to the sector may be computed by compressing the data input to the sector during a time interval, storing the compressed history of data input to the sector in memory, and computing from the stored compressed history of data input to the sector the data output from the sector.
    Type: Application
    Filed: July 20, 2009
    Publication date: January 20, 2011
    Inventors: Marcos E. Guillen, Fernando M. Maroto
  • Calculating confidence levels for peptide and protein identification
    Patent number: 7593817
    Abstract: Computer programs and methods for defining a misidentification probability for an experimental protein divisible into experimental peptides. The invention receives data representing a set of matches of experimental peptides to reference peptides that can be derived from a protein in a database of proteins; calculates a probability of observing by chance, in a search of the database of proteins, a set of matches equivalent to or better than the represented set of matches; and defines the misidentification probability using the probability of observing by chance a set of matches equivalent to or better than the represented set of matches.
    Type: Grant
    Filed: December 16, 2003
    Date of Patent: September 22, 2009
    Assignee: Thermo Finnigan LLC
    Inventor: Fernando M. Maroto