[go: up one dir, main page]

Poonia, 2019 - Google Patents

A Study on Blue Brain Modeling, Applications and its Challenges

Poonia, 2019

View PDF
Document ID
585207019522005303
Author
Poonia S
Publication year
Publication venue
International Journal of Research in Engineering, Science and Management

External Links

Snippet

We all are fascinated about how human brain works and why it is so superior and extraordinary. As some of the brains (Einstein, Ford, Edison and so on) in world are too resourceful and astonishing were also had the similar human brain but functioning is differ …
Continue reading at www.academia.edu (PDF) (other versions)

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computer systems based on biological models
    • G06N3/02—Computer systems based on biological models using neural network models
    • G06N3/06—Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons
    • G06N3/063—Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons using electronic means
    • G06N3/0635—Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons using electronic means using analogue means
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
    • G06F19/30—Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
    • G06F19/34—Computer-assisted medical diagnosis or treatment, e.g. computerised prescription or delivery of medication or diets, computerised local control of medical devices, medical expert systems or telemedicine
    • G06F19/3437—Medical simulation or modelling, e.g. simulating the evolution of medical disorders
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/50—Computer-aided design
    • G06F17/5009—Computer-aided design using simulation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computer systems based on biological models
    • G06N3/02—Computer systems based on biological models using neural network models
    • G06N3/04—Architectures, e.g. interconnection topology
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
    • G06F19/10—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology
    • G06F19/12—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology for modelling or simulation in systems biology, e.g. probabilistic or dynamic models, gene-regulatory networks, protein interaction networks or metabolic networks
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
    • G06F19/10—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology
    • G06F19/28—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology for programming tools or database systems, e.g. ontologies, heterogeneous data integration, data warehousing or computing architectures
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N99/00—Subject matter not provided for in other groups of this subclass
    • G06N99/005—Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F15/00—Digital computers in general; Data processing equipment in general
    • G06F15/76—Architectures of general purpose stored programme computers
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F15/00—Digital computers in general; Data processing equipment in general
    • G06F15/18—Digital computers in general; Data processing equipment in general in which a programme is changed according to experience gained by the computer itself during a complete run; Learning machines
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F11/00—Error detection; Error correction; Monitoring

Similar Documents

Publication Publication Date Title
Dura-Bernal et al. NetPyNE, a tool for data-driven multiscale modeling of brain circuits
Einevoll et al. The scientific case for brain simulations
Gleeson et al. Open source brain: a collaborative resource for visualizing, analyzing, simulating, and developing standardized models of neurons and circuits
Markram The blue brain project
Minkovich et al. HRLSim: A high performance spiking neural network simulator for GPGPU clusters
Yamazaki et al. Human-scale brain simulation via supercomputer: a case study on the cerebellum
Florimbi et al. The human brain project: parallel technologies for biologically accurate simulation of granule cells
Amunts et al. The coming decade of digital brain research: A vision for neuroscience at the intersection of technology and computing
Haufler et al. Simulations of cortical networks using spatially extended conductance‐based neuronal models
Lansner et al. Virtues, pitfalls, and methodology of neuronal network modeling and simulations on supercomputers
Thibeault et al. A Novel Multi-GPU Neural Simulator.
Poonia A Study on Blue Brain Modeling, Applications and its Challenges
Djurfeldt et al. Large-scale modeling-a tool for conquering the complexity of the brain
Jin Parallel simulation of neural networks on spinnaker universal neuromorphic hardware
Babel Blue Brain-The Future Generation
Szynkiewicz A novel GPU-enabled simulator for large scale spiking neural networks
Nimje et al. Artificial Brain: A Step Towards Imortality
Avula et al. Blue Brain-The Future Generation
Secretariat et al. 1st incf workshop on large-scale modeling of the nervous system
Djurfeldt et al. Workshop report: 1st INCF Workshop on Large-scale Modeling of the Nervous System
Neofytou Implementation and acceleration of neuron simulator with CUDA C
SWETHA et al. The Blue Brain Technology
Ben-Shalom et al. NeuroGPU: Accelerating multi-compartment, biophysically detailed neuron simulations on GPUs
Thibeault Computational neuroscience: theory, development and applications in modeling the basal ganglia
Magkanaris Acceleration of neuron simulation in FPGAs