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6.441 Transmission of Information (MIT) 6.441 Transmission of Information (MIT)

Description

6.441 offers an introduction to the quantitative theory of information and its applications to reliable, efficient communication systems. Topics include: mathematical definition and properties of information; source coding theorem, lossless compression of data, optimal lossless coding; noisy communication channels, channel coding theorem, the source-channel separation theorem, multiple access channels, broadcast channels, Gaussian noise, and time-varying channels. 6.441 offers an introduction to the quantitative theory of information and its applications to reliable, efficient communication systems. Topics include: mathematical definition and properties of information; source coding theorem, lossless compression of data, optimal lossless coding; noisy communication channels, channel coding theorem, the source-channel separation theorem, multiple access channels, broadcast channels, Gaussian noise, and time-varying channels.Subjects

transmission of information | transmission of information | quantitative theory of information | quantitative theory of information | efficient communication systems | efficient communication systems | mathematical definition of information | mathematical definition of information | properties of information | properties of information | source coding theorem | source coding theorem | lossless compression of data | lossless compression of data | optimal lossless coding | optimal lossless coding | noisy communication channels | noisy communication channels | channel coding theorem | channel coding theorem | the source-channel separation theorem | the source-channel separation theorem | multiple access channels | multiple access channels | broadcast channels | broadcast channels | gaussian noise | gaussian noise | time-varying channels | time-varying channels | lossless data compression | lossless data compression | telecommunications | telecommunications | data transmission | data transmissionLicense

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htmSite sourced from

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Mathematical introduction to neural coding and dynamics. Convolution, correlation, linear systems, Fourier analysis, signal detection theory, probability theory, and information theory. Applications to neural coding, focusing on the visual system. Hodgkin-Huxley and related models of neural excitability, stochastic models of ion channels, cable theory, and models of synaptic transmission. Mathematical introduction to neural coding and dynamics. Convolution, correlation, linear systems, Fourier analysis, signal detection theory, probability theory, and information theory. Applications to neural coding, focusing on the visual system. Hodgkin-Huxley and related models of neural excitability, stochastic models of ion channels, cable theory, and models of synaptic transmission.Subjects

neural coding | neural coding | dynamics | dynamics | convolution | convolution | correlation | correlation | linear systems | linear systems | Fourier analysis | Fourier analysis | signal detection theory | signal detection theory | probability theory | probability theory | information theory | information theory | neural excitability | neural excitability | stochastic models | stochastic models | ion channels | ion channels | cable theory | cable theory | 9.29 | 9.29 | 8.261 | 8.261License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htmSite sourced from

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In this subject, we consider two basic topics in cellular biophysics, posed here as questions: Which molecules are transported across cellular membranes, and what are the mechanisms of transport? How do cells maintain their compositions, volume, and membrane potential? How are potentials generated across the membranes of cells? What do these potentials do? Although the questions posed are fundamentally biological questions, the methods for answering these questions are inherently multidisciplinary. As we will see throughout the course, the role of mathematical models is to express concepts precisely enough that precise conclusions can be drawn. In connection with all the topics covered, we will consider both theory and experiment. For the student, the educational value of examining the i In this subject, we consider two basic topics in cellular biophysics, posed here as questions: Which molecules are transported across cellular membranes, and what are the mechanisms of transport? How do cells maintain their compositions, volume, and membrane potential? How are potentials generated across the membranes of cells? What do these potentials do? Although the questions posed are fundamentally biological questions, the methods for answering these questions are inherently multidisciplinary. As we will see throughout the course, the role of mathematical models is to express concepts precisely enough that precise conclusions can be drawn. In connection with all the topics covered, we will consider both theory and experiment. For the student, the educational value of examining the iSubjects

quantitative physiology | quantitative physiology | cells | cells | tissues | tissues | mass transport | mass transport | electrical signal generation | electrical signal generation | biological membranes | biological membranes | membranes | membranes | diffusion | diffusion | osmosis | osmosis | chemically mediated transport | chemically mediated transport | active transport | active transport | ion transport | ion transport | equilibrium potential | equilibrium potential | resting potential | resting potential | action potential | action potential | voltage-gated ion channels | voltage-gated ion channels | 6.021 | 6.021 | 2.791 | 2.791 | 2.794 | 2.794 | 6.521 | 6.521 | 20.370 | 20.370 | 20.470 | 20.470 | HST.541 | HST.541License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htmSite sourced from

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See all metadata9.013J Cell and Molecular Neurobiology (MIT) 9.013J Cell and Molecular Neurobiology (MIT)

Description

This course explores the major areas of cellular and molecular neurobiology, including excitable cells and membranes, ion channels and receptors, synaptic transmission, cell-type determination, axon guidance, neuronal cell biology, neurotrophin signaling and cell survival, synapse formation and neural plasticity. Material includes lectures and exams, and involves presentation and discussion of primary literature. It focuses on major concepts and recent advances in experimental neuroscience. This course explores the major areas of cellular and molecular neurobiology, including excitable cells and membranes, ion channels and receptors, synaptic transmission, cell-type determination, axon guidance, neuronal cell biology, neurotrophin signaling and cell survival, synapse formation and neural plasticity. Material includes lectures and exams, and involves presentation and discussion of primary literature. It focuses on major concepts and recent advances in experimental neuroscience.Subjects

cellular | cellular | molecular neurobiology | molecular neurobiology | cells | cells | membranes | membranes | ion channels | ion channels | receptors | receptors | synaptic transmission | synaptic transmission | axon guidance | axon guidance | targeting | targeting | neuronal cell biology | neuronal cell biology | synapse formation | synapse formation | plasticity | plasticityLicense

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htmSite sourced from

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This course gives a mathematical introduction to neural coding and dynamics. Topics include convolution, correlation, linear systems, game theory, signal detection theory, probability theory, information theory, and reinforcement learning. Applications to neural coding, focusing on the visual system are covered, as well as Hodgkin-Huxley and other related models of neural excitability, stochastic models of ion channels, cable theory, and models of synaptic transmission. Visit the Seung Lab Web site. This course gives a mathematical introduction to neural coding and dynamics. Topics include convolution, correlation, linear systems, game theory, signal detection theory, probability theory, information theory, and reinforcement learning. Applications to neural coding, focusing on the visual system are covered, as well as Hodgkin-Huxley and other related models of neural excitability, stochastic models of ion channels, cable theory, and models of synaptic transmission. Visit the Seung Lab Web site.Subjects

neural coding | neural coding | dynamics | dynamics | convolution | convolution | correlation | correlation | linear systems | linear systems | Fourier analysis | Fourier analysis | signal detection theory | signal detection theory | probability theory | probability theory | information theory | information theory | neural excitability | neural excitability | stochastic models | stochastic models | ion channels | ion channels | cable theory | cable theoryLicense

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htmSite sourced from

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See all metadata9.16 Cellular Neurophysiology (MIT) 9.16 Cellular Neurophysiology (MIT)

Description

This course includes: Surveying the molecular and cellular mechanisms of neuronal communication. Coversion channels in excitable membrane, synaptic transmission, and synaptic plasticity. Correlation of the properties of ion channels and synaptic transmission with their physiological function such as learning and memory. Discussion of the organizational principles for the formation of functional neural networks at synaptic and cellular levels. This course includes: Surveying the molecular and cellular mechanisms of neuronal communication. Coversion channels in excitable membrane, synaptic transmission, and synaptic plasticity. Correlation of the properties of ion channels and synaptic transmission with their physiological function such as learning and memory. Discussion of the organizational principles for the formation of functional neural networks at synaptic and cellular levels.Subjects

molecular | molecular | cellular mechanisms | cellular mechanisms | neuronal communication | neuronal communication | ion channels | ion channels | excitable membrane | excitable membrane | synaptic transmission | synaptic transmission | synaptic plasticity | synaptic plasticity | physiology | physiology | function | function | neural networks | neural networksLicense

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htmSite sourced from

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See all metadata9.09J Cellular Neurobiology (MIT) 9.09J Cellular Neurobiology (MIT)

Description

This course serves as an introduction to the structure and function of the nervous system. Emphasis is placed on the cellular properties of neurons and other excitable cells. Topics covered include the structure and biophysical properties of excitable cells, synaptic transmission, neurochemistry, neurodevelopment, and the integration of information in simple systems and the visual system. This course serves as an introduction to the structure and function of the nervous system. Emphasis is placed on the cellular properties of neurons and other excitable cells. Topics covered include the structure and biophysical properties of excitable cells, synaptic transmission, neurochemistry, neurodevelopment, and the integration of information in simple systems and the visual system.Subjects

neurobiology | neurobiology | structure | structure | function | function | nervous system | nervous system | cellular | cellular | neurons | neurons | excitable cells | excitable cells | biophysics | biophysics | synaptic transmission | synaptic transmission | neurochemistry | neurochemistry | neurodevelopment | neurodevelopment | visual system | visual system | neuromuscular junction | neuromuscular junction | membrane channels | membrane channels | signaling | signaling | ion channels | ion channels | action potential | action potential | neurotransmitters | neurotransmitters | biochemistry | biochemistry | synapses | synapses | learning | learning | memory | memory | axons | axons | hearing | hearing | thermoreception | thermoreception | pain | pain | cognitive function | cognitive function | 9.09 | 9.09 | 7.29 | 7.29License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htmSite sourced from

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See all metadataEffective Communication in Partnerships

Description

The objectives for this lesson include identifying particular areas of partnership working where effective communication is important and discussing why effective communication between partners is important. We will also be identifying and evaluating different ways in which partners might communicate with each other. Finally, we will be evaluating the effectiveness of a particular partnershipâ€™s communication strategy and also the communication skills and methods that you use as a partnership member.Subjects

barriers to communication | advantages and disadvantages of communication channels | evaluating communication systems | effective communication channels | EDUCATION / TRAINING / TEACHING | GLicense

Attribution-Noncommercial-Share Alike 2.0 UK: England & Wales Attribution-Noncommercial-Share Alike 2.0 UK: England & Wales http://creativecommons.org/licenses/by-nc-sa/2.0/uk/ http://creativecommons.org/licenses/by-nc-sa/2.0/uk/Site sourced from

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See all metadata9.16 Cellular Neurophysiology (MIT)

Description

This course includes: Surveying the molecular and cellular mechanisms of neuronal communication. Coversion channels in excitable membrane, synaptic transmission, and synaptic plasticity. Correlation of the properties of ion channels and synaptic transmission with their physiological function such as learning and memory. Discussion of the organizational principles for the formation of functional neural networks at synaptic and cellular levels.Subjects

molecular | cellular mechanisms | neuronal communication | ion channels | excitable membrane | synaptic transmission | synaptic plasticity | physiology | function | neural networksLicense

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see https://ocw.mit.edu/terms/index.htmSite sourced from

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See all metadataBasic concepts of receptors, their major categories and G-Proteins : final assessment SCORM

Description

Interactive material created as part of the CeLLs Project (www.cellsproject.org) covering the topic of Basic Concepts of Receptors.Subjects

receptors | cellular signalling | intracellular communication | intercellular communication | homeostasis | tyrosine kinase | ion channels | ligands | g-proteins | MATHEMATICS | Biological Sciences | Assessment | Design and delivery of programmes | UK EL06 = SCQF 6 | Advanced courses | NICAT 3 | CQFW 3 | Advanced | A/AS Level | NVQ 3 | Higher | SVQ 3 | UK EL07 = SCQF 7 | Higher Certificate | NICAT 4 | CQFW 4 | NVQ 4 | Advanced Higher | SVQ 4 | HN Certificate | UK EL08 = SCQF 8 | Higher Diploma | NICAT 5 | CQFW 5 | HN Diploma | Diploma in HE | UK EL09 = SCQF 9 | Ordinary degree | NICAT 6 | CQFW 6 | NVQ 5 | SVQ 5 | Ordinary degree | Graduate certific | Biological sciences | C000 | SCIENCES and MATHEMATICS | RLicense

Attribution-Noncommercial-Share Alike 2.0 UK: England & Wales Attribution-Noncommercial-Share Alike 2.0 UK: England & Wales http://creativecommons.org/licenses/by-nc-sa/2.0/uk/ http://creativecommons.org/licenses/by-nc-sa/2.0/uk/Site sourced from

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See all metadataBasic concepts of receptors, their major categories and G-proteins : learning materials

Description

Interactive material created as part of the CeLLs Project (www.cellsproject.org) covering the topic of Basic Concepts of Receptors.Subjects

receptors | cellular signalling | intracellular communication | intercellular communication | homeostasis | tyrosine kinase | ion channels | ligands | g-proteins | MATHEMATICS | Biological Sciences | Learning | Design and delivery of programmes | UK EL06 = SCQF 6 | Advanced courses | NICAT 3 | CQFW 3 | Advanced | A/AS Level | NVQ 3 | Higher | SVQ 3 | UK EL07 = SCQF 7 | Higher Certificate | NICAT 4 | CQFW 4 | NVQ 4 | Advanced Higher | SVQ 4 | HN Certificate | UK EL08 = SCQF 8 | Higher Diploma | NICAT 5 | CQFW 5 | HN Diploma | Diploma in HE | UK EL09 = SCQF 9 | Ordinary degree | NICAT 6 | CQFW 6 | NVQ 5 | SVQ 5 | Ordinary degree | Graduate certific | Biological sciences | C000 | SCIENCES and MATHEMATICS | RLicense

Attribution-Noncommercial-Share Alike 2.0 UK: England & Wales Attribution-Noncommercial-Share Alike 2.0 UK: England & Wales http://creativecommons.org/licenses/by-nc-sa/2.0/uk/ http://creativecommons.org/licenses/by-nc-sa/2.0/uk/Site sourced from

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See all metadataBasic concepts of receptors, their major categories and G-proteins : final assessment QTI

Description

Interactive material created as part of the CeLLs Project (www.cellsproject.org) covering the topic of Basic Concepts of Receptors.Subjects

receptors | cellular signalling | intracellular communication | intercellular communication | homeostasis | tyrosine kinase | ion channels | ligands | g-proteins | MATHEMATICS | Biological Sciences | Assessment | Design and delivery of programmes | UK EL06 = SCQF 6 | Advanced courses | NICAT 3 | CQFW 3 | Advanced | A/AS Level | NVQ 3 | Higher | SVQ 3 | UK EL07 = SCQF 7 | Higher Certificate | NICAT 4 | CQFW 4 | NVQ 4 | Advanced Higher | SVQ 4 | HN Certificate | UK EL08 = SCQF 8 | Higher Diploma | NICAT 5 | CQFW 5 | HN Diploma | Diploma in HE | UK EL09 = SCQF 9 | Ordinary degree | NICAT 6 | CQFW 6 | NVQ 5 | SVQ 5 | Ordinary degree | Graduate certific | Biological sciences | C000 | SCIENCES and MATHEMATICS | RLicense

Attribution-Noncommercial-Share Alike 2.0 UK: England & Wales Attribution-Noncommercial-Share Alike 2.0 UK: England & Wales http://creativecommons.org/licenses/by-nc-sa/2.0/uk/ http://creativecommons.org/licenses/by-nc-sa/2.0/uk/Site sourced from

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See all metadata9.09J Cellular Neurobiology (MIT)

Description

This course serves as an introduction to the structure and function of the nervous system. Emphasis is placed on the cellular properties of neurons and other excitable cells. Topics covered include the structure and biophysical properties of excitable cells, synaptic transmission, neurochemistry, neurodevelopment, and the integration of information in simple systems and the visual system.Subjects

neurobiology | structure | function | nervous system | cellular | neurons | excitable cells | biophysics | synaptic transmission | neurochemistry | neurodevelopment | visual system | neuromuscular junction | membrane channels | signaling | ion channels | action potential | neurotransmitters | biochemistry | synapses | learning | memory | axons | hearing | thermoreception | pain | cognitive function | 9.09 | 7.29License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see https://ocw.mit.edu/terms/index.htmSite sourced from

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See all metadata6.441 Transmission of Information (MIT)

Description

6.441 offers an introduction to the quantitative theory of information and its applications to reliable, efficient communication systems. Topics include: mathematical definition and properties of information; source coding theorem, lossless compression of data, optimal lossless coding; noisy communication channels, channel coding theorem, the source-channel separation theorem, multiple access channels, broadcast channels, Gaussian noise, and time-varying channels.Subjects

transmission of information | quantitative theory of information | efficient communication systems | mathematical definition of information | properties of information | source coding theorem | lossless compression of data | optimal lossless coding | noisy communication channels | channel coding theorem | the source-channel separation theorem | multiple access channels | broadcast channels | gaussian noise | time-varying channels | lossless data compression | telecommunications | data transmissionLicense

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see https://ocw.mit.edu/terms/index.htmSite sourced from

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See all metadata9.29J Introduction to Computational Neuroscience (MIT)

Description

Mathematical introduction to neural coding and dynamics. Convolution, correlation, linear systems, Fourier analysis, signal detection theory, probability theory, and information theory. Applications to neural coding, focusing on the visual system. Hodgkin-Huxley and related models of neural excitability, stochastic models of ion channels, cable theory, and models of synaptic transmission.Subjects

neural coding | dynamics | convolution | correlation | linear systems | Fourier analysis | signal detection theory | probability theory | information theory | neural excitability | stochastic models | ion channels | cable theory | 9.29 | 8.261License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see https://ocw.mit.edu/terms/index.htmSite sourced from

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See all metadata9.013J Cell and Molecular Neurobiology (MIT)

Description

This course explores the major areas of cellular and molecular neurobiology, including excitable cells and membranes, ion channels and receptors, synaptic transmission, cell-type determination, axon guidance, neuronal cell biology, neurotrophin signaling and cell survival, synapse formation and neural plasticity. Material includes lectures and exams, and involves presentation and discussion of primary literature. It focuses on major concepts and recent advances in experimental neuroscience.Subjects

cellular | molecular neurobiology | cells | membranes | ion channels | receptors | synaptic transmission | axon guidance | targeting | neuronal cell biology | synapse formation | plasticityLicense

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see https://ocw.mit.edu/terms/index.htmSite sourced from

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See all metadata9.29J Introduction to Computational Neuroscience (MIT)

Description

This course gives a mathematical introduction to neural coding and dynamics. Topics include convolution, correlation, linear systems, game theory, signal detection theory, probability theory, information theory, and reinforcement learning. Applications to neural coding, focusing on the visual system are covered, as well as Hodgkin-Huxley and other related models of neural excitability, stochastic models of ion channels, cable theory, and models of synaptic transmission. Visit the Seung Lab Web site.Subjects

neural coding | dynamics | convolution | correlation | linear systems | Fourier analysis | signal detection theory | probability theory | information theory | neural excitability | stochastic models | ion channels | cable theoryLicense

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see https://ocw.mit.edu/terms/index.htmSite sourced from

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See all metadata6.021J Quantitative Physiology: Cells and Tissues (MIT)

Description

In this subject, we consider two basic topics in cellular biophysics, posed here as questions: Which molecules are transported across cellular membranes, and what are the mechanisms of transport? How do cells maintain their compositions, volume, and membrane potential? How are potentials generated across the membranes of cells? What do these potentials do? Although the questions posed are fundamentally biological questions, the methods for answering these questions are inherently multidisciplinary. As we will see throughout the course, the role of mathematical models is to express concepts precisely enough that precise conclusions can be drawn. In connection with all the topics covered, we will consider both theory and experiment. For the student, the educational value of examining the iSubjects

quantitative physiology | cells | tissues | mass transport | electrical signal generation | biological membranes | membranes | diffusion | osmosis | chemically mediated transport | active transport | ion transport | equilibrium potential | resting potential | action potential | voltage-gated ion channels | 6.021 | 2.791 | 2.794 | 6.521 | 20.370 | 20.470 | HST.541License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see https://ocw.mit.edu/terms/index.htmSite sourced from

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See all metadata9.16 Cellular Neurophysiology (MIT)

Description

This course includes: Surveying the molecular and cellular mechanisms of neuronal communication. Coversion channels in excitable membrane, synaptic transmission, and synaptic plasticity. Correlation of the properties of ion channels and synaptic transmission with their physiological function such as learning and memory. Discussion of the organizational principles for the formation of functional neural networks at synaptic and cellular levels.Subjects

molecular | cellular mechanisms | neuronal communication | ion channels | excitable membrane | synaptic transmission | synaptic plasticity | physiology | function | neural networksLicense

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see https://ocw.mit.edu/terms/index.htmSite sourced from

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