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Handbook of neural engineering / / edited by Metin Akay
Handbook of neural engineering / / edited by Metin Akay
Pubbl/distr/stampa Hoboken, New Jersey : , : Wiley, , c2007
Descrizione fisica 1 online resource (681 p.)
Disciplina 006.32
612.80113
616.8
Collana IEEE Press Series on Biomedical Engineering
Soggetto topico Computational neuroscience
Biomedical engineering
Neural networks (Neurobiology)
Neural networks (Computer science)
Nervous system - Computer simulation
ISBN 1-280-82697-5
9786610826971
0-470-06829-9
1-60119-503-6
0-470-06828-0
Classificazione 44.90
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Preface. -- Contributors. -- Part I: Neural Signal And Image Processing And Modeling. -- Chapter 1: Optimal Signal Processing For Brain-machine Interfaces (justin C. Sanchez And Jose C. Principe). -- Chapter 2: Modulation Of Electrophysiological Activity In Neural Networks: Toward A Bioartificial Living System (laura Bonzano, Alessandro Vato, Michela Chiappalone, And Sergio Martinoia). -- Chapter 3: Estimation Of Posterior Probabilities With Neural Networks: Application To Microcalcification Detection In Breast Cancer Diagnosis (Juan Ignacio Arribas, Jesus Cid-sueiro, And Carlos Alberola-lopez). -- Chapter 4: Identification Of Central Auditory Processing Disorders By Binaurally Evoked Brainstem Responses (Daniel J. Strauss, Wolfgang Delb, And Peter K. Plinkert). -- Chapter 5: Functional Characterization Of Adaptive Visual Encoding (Nicholas A. Lesica And Garrett B. Stanley). -- Chapter 6: Deconvolution Of Overlapping Auditory Brainstem Responses Obtained At High Stimulus Rates (O. Ozdamar, R. E. Delgado, E. Yavuz, And N. Acikgoz). -- Chapter 7: Autonomic Cardiac Modulation At Sinoatrial And Atrioventricular Nodes: Observations And Models (s. Ward, R. Shouldice, C. Heneghan, P. Nolan, And G. Mcdarby). -- Chapter 8: Neural Networks And Time-frequency Analysis Of Surface Electromyographic Signals For Muscle Cerebral Control (Bruno Azzerboni, Maurizio Ipsale, Fabio La Foresta, And Francesco Carlo Morabito). -- Chapter 9: Multiresolution Fractal Analysis Of Medical Images (Khan M. Iftekharuddin And Carlos Parra). -- Chapter 10: Methods For Neural-network-based Segmentation Of Magnetic Resonance Images (Lia Morra, Silvia Delsanto, And Fabrizio Lamberti). -- Chapter 11: High-resolution Eeg And Estimation Of Cortical Activity For Brain-computer Interface Applications (F. Cincotti, M. Mattiocco, D. Mattia, F. Babiloni, And L. Astolfi) -- Chapter 12: Estimation Of Cortical Sources Related To Short-term Memory In Humans With Highresolution Eeg Recordings And Statistical Probability Mapping (L. Astolfi, D. Mattia, F. Babiloni, And F. Cincotti).
chapter 13: Exploring Semantic Memory Areas By Functional Mri (G. Rizzo, P. Vitali, G. Baselli, M. Tettamanti, P. Scifo, S. Cerutti, D. Perani, And F. Fazio). -- Part Ii: Neuro-nanotechnology: Artificial Implants And Neural Protheses. -- Chapter 14: Restoration Of Movement By Implantable Neural Motor Prostheses (Thomas Sinkjar And Dejan B. Popovic). -- Chapter 15: Hybrid Olfactory Biosensor Using Multichannel Electroantennogram: Design And Application (John R. Hetling, Andrew J. Myrick, Kye-chung Park, And Thomas C. Baker). -- Chapter 16: Reconfigurable Retina-like Preprocessing Platform For Cortical Visual Neuroprostheses (Samuel Romero, Francisco J. Pelayo, Christian A. Morillas, Antonio Martinez, And Eduardo Fernandez). -- Chapter 17: Biomimetic Integration Of Neural And Acoustic Signal Processing (Rolf Muller And Herbert Peremans). -- Chapter 18: Retinal Image And Phosphene Image: An Analogy (Luke E. Hallum, Spencer C. Chen, Gregg J. Suaning, And Nigel H. Lovell). -- Chapter 19: Brain-implantable Biomimetic Electronics As Neural Prostheses To Restore Lost Cognitive Function (Theodore W. Berger, Ashish Ahuja, Spiros H. Courellis, Gopal Erinjippurath, Ghassan Gholmieh, John J. Granacki, Min Chi Hsaio, Jeff Lacoss, Vasilis Z. Marmarelis, Patrick Nasiatka, Vijay Srinivasan, Dong Song, Armand R. Tanguay, Jr., And Jack Wills). -- Chapter 20: Advances In Retinal Neuroprosthetics (Nigel H. Lovell, Luke E. Hallum, Spencer C. Chen, Socrates Dokos, Philip Byrnes-preston, Rylie Green, Laura Poole-warren, Torsten Lehmann, And Gregg J. Suaning). -- Chapter 21: Towards A Cultured Neural Probe: Patterning Of Networks And Their Electrical Activity (W. L. C. Rutten, T. G. Ruardij, E. Marani, And B. H. Roelofsen). -- Chapter 22: Spike Superposition Resolution In Multichannel Extracellular Neural Recordings: A Novel Approach (Karim Oweiss And David Anderson). -- Chapter 23: Toward A Button-sized 1024-site Wireless Cortical Microstimulating Array (Maysam Ghovanloo And Khalil Najafi).
Chapter 24: Practical Considerations In Retinal Neuroprosthesis Design (Gregg J. Suaning, Luke E. Hallum, Spencer Chen, Philip Preston, Socrates Dokos, And Nigel H. Lovell). -- Part Iii: Neurorobotics And Neural Rehabilation Engineering. -- Chapter 25: Interfacing Neural And Artificial Systems: From Neuroengineering To Neurorobotics (P. Dario, C. Laschi, A. Menciassi, E. Guglielmelli, M. C. Carrozza, And S. Micera). -- Chapter 26: Neurocontroller For Robot Arms Based On Biologically Inspired Visuomotor Coordination Neural Models (E. Guglielmelli, G. Asuni, F. Leoni, A. Starita, And P. Dario). -- Chapter 27: Muscle Synergies For Motor Control (Andrea D'avella And Matthew Tresch). -- Chapter 28: Robots With Neural Building Blocks (Henrik Hautop Lund And Jacob Nielsen) -- Chapter 29: Decoding Sensory Stimuli From Populations Of Neurons: Methods For Long-term Longitudinal Studies (Guglielmo Foffani, Banu Tutunculer, Steven C. Leiser, And Karen A. Moxon) -- Chapter 30: Model Of Mammalian Visual System With Optical Logic Cells (J. A. Mart&1acute;n-pereda And A. Gonziưlez Marcos). -- Chapter 31: Cns Reorganization During Sensory-supported Treadmill Training (I. Cikajlo, Z. Matjačić, And T. Bajd). -- Chapter 32: Independent Component Analysis Of Surface Emg For Detection Of Single Motoneurons Firing In Voluntary Isometric Contraction (Gonzalo A. Garc&1acute;a, Ryuhei Okuno, And Kenzo Akazawa). -- Chapter 33: Recent Advances In Composite Aep/eeg Indices For Estimating Hypnotic Depth During General Anesthesia? (Erik Weber Jensen, Pablo Martinez, Hector Litvan, Hugo Vereecke, Bernardo Rodriguez, And Michel M. R. F. Struys). -- Chapter 34: Eng Recording Amplifier Configurations For Tripolar Cuff Electrodes (I. F. Triantis, A. Demosthenous, M. S. Rahal, And N. Donaldson). -- Chapter 35: Cable Equation Model For Myelinated Nerve Fiber (P. D. Einziger, L. M. Livshitz, And J. Mizrahi). -- Chapter 36: Bayesian Networks For Modeling Cortical Integration Paul Sajda, Kyungim Baek And Leif Finkel).
Chapter 37: Normal And Abnormal Auditory Information Processing Revealed By Nonstationary Signal Analysis Of Eeg (Ben H. Jansen, Anant Hegde, Jacob Ruben, And Nashaat N. Boutros). -- Chapter 38: Probing Oscillatory Visual Dynamics At The Perceptual Level (H. Fotowat, H. &gcaron;men, H. E. Bedell, And B. G. Breitmeyer). -- Chapter 39: Nonlinear Approaches To Learning And Memory (Klaus Lehnertz). -- Chapter 40: Single-trial Analysis Of Eeg For Enabling Cognitive User Interfaces (Adam D. Gerson, Lucas C. Parra, And Paul Sajda). -- Index. -- About The Editor.
Record Nr. UNINA-9910143697403321
Hoboken, New Jersey : , : Wiley, , c2007
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Handbook of neural engineering / / edited by Metin Akay
Handbook of neural engineering / / edited by Metin Akay
Pubbl/distr/stampa Hoboken, New Jersey : , : Wiley, , c2007
Descrizione fisica 1 online resource (681 p.)
Disciplina 006.32
612.80113
616.8
Collana IEEE Press Series on Biomedical Engineering
Soggetto topico Computational neuroscience
Biomedical engineering
Neural networks (Neurobiology)
Neural networks (Computer science)
Nervous system - Computer simulation
ISBN 1-280-82697-5
9786610826971
0-470-06829-9
1-60119-503-6
0-470-06828-0
Classificazione 44.90
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Preface. -- Contributors. -- Part I: Neural Signal And Image Processing And Modeling. -- Chapter 1: Optimal Signal Processing For Brain-machine Interfaces (justin C. Sanchez And Jose C. Principe). -- Chapter 2: Modulation Of Electrophysiological Activity In Neural Networks: Toward A Bioartificial Living System (laura Bonzano, Alessandro Vato, Michela Chiappalone, And Sergio Martinoia). -- Chapter 3: Estimation Of Posterior Probabilities With Neural Networks: Application To Microcalcification Detection In Breast Cancer Diagnosis (Juan Ignacio Arribas, Jesus Cid-sueiro, And Carlos Alberola-lopez). -- Chapter 4: Identification Of Central Auditory Processing Disorders By Binaurally Evoked Brainstem Responses (Daniel J. Strauss, Wolfgang Delb, And Peter K. Plinkert). -- Chapter 5: Functional Characterization Of Adaptive Visual Encoding (Nicholas A. Lesica And Garrett B. Stanley). -- Chapter 6: Deconvolution Of Overlapping Auditory Brainstem Responses Obtained At High Stimulus Rates (O. Ozdamar, R. E. Delgado, E. Yavuz, And N. Acikgoz). -- Chapter 7: Autonomic Cardiac Modulation At Sinoatrial And Atrioventricular Nodes: Observations And Models (s. Ward, R. Shouldice, C. Heneghan, P. Nolan, And G. Mcdarby). -- Chapter 8: Neural Networks And Time-frequency Analysis Of Surface Electromyographic Signals For Muscle Cerebral Control (Bruno Azzerboni, Maurizio Ipsale, Fabio La Foresta, And Francesco Carlo Morabito). -- Chapter 9: Multiresolution Fractal Analysis Of Medical Images (Khan M. Iftekharuddin And Carlos Parra). -- Chapter 10: Methods For Neural-network-based Segmentation Of Magnetic Resonance Images (Lia Morra, Silvia Delsanto, And Fabrizio Lamberti). -- Chapter 11: High-resolution Eeg And Estimation Of Cortical Activity For Brain-computer Interface Applications (F. Cincotti, M. Mattiocco, D. Mattia, F. Babiloni, And L. Astolfi) -- Chapter 12: Estimation Of Cortical Sources Related To Short-term Memory In Humans With Highresolution Eeg Recordings And Statistical Probability Mapping (L. Astolfi, D. Mattia, F. Babiloni, And F. Cincotti).
chapter 13: Exploring Semantic Memory Areas By Functional Mri (G. Rizzo, P. Vitali, G. Baselli, M. Tettamanti, P. Scifo, S. Cerutti, D. Perani, And F. Fazio). -- Part Ii: Neuro-nanotechnology: Artificial Implants And Neural Protheses. -- Chapter 14: Restoration Of Movement By Implantable Neural Motor Prostheses (Thomas Sinkjar And Dejan B. Popovic). -- Chapter 15: Hybrid Olfactory Biosensor Using Multichannel Electroantennogram: Design And Application (John R. Hetling, Andrew J. Myrick, Kye-chung Park, And Thomas C. Baker). -- Chapter 16: Reconfigurable Retina-like Preprocessing Platform For Cortical Visual Neuroprostheses (Samuel Romero, Francisco J. Pelayo, Christian A. Morillas, Antonio Martinez, And Eduardo Fernandez). -- Chapter 17: Biomimetic Integration Of Neural And Acoustic Signal Processing (Rolf Muller And Herbert Peremans). -- Chapter 18: Retinal Image And Phosphene Image: An Analogy (Luke E. Hallum, Spencer C. Chen, Gregg J. Suaning, And Nigel H. Lovell). -- Chapter 19: Brain-implantable Biomimetic Electronics As Neural Prostheses To Restore Lost Cognitive Function (Theodore W. Berger, Ashish Ahuja, Spiros H. Courellis, Gopal Erinjippurath, Ghassan Gholmieh, John J. Granacki, Min Chi Hsaio, Jeff Lacoss, Vasilis Z. Marmarelis, Patrick Nasiatka, Vijay Srinivasan, Dong Song, Armand R. Tanguay, Jr., And Jack Wills). -- Chapter 20: Advances In Retinal Neuroprosthetics (Nigel H. Lovell, Luke E. Hallum, Spencer C. Chen, Socrates Dokos, Philip Byrnes-preston, Rylie Green, Laura Poole-warren, Torsten Lehmann, And Gregg J. Suaning). -- Chapter 21: Towards A Cultured Neural Probe: Patterning Of Networks And Their Electrical Activity (W. L. C. Rutten, T. G. Ruardij, E. Marani, And B. H. Roelofsen). -- Chapter 22: Spike Superposition Resolution In Multichannel Extracellular Neural Recordings: A Novel Approach (Karim Oweiss And David Anderson). -- Chapter 23: Toward A Button-sized 1024-site Wireless Cortical Microstimulating Array (Maysam Ghovanloo And Khalil Najafi).
Chapter 24: Practical Considerations In Retinal Neuroprosthesis Design (Gregg J. Suaning, Luke E. Hallum, Spencer Chen, Philip Preston, Socrates Dokos, And Nigel H. Lovell). -- Part Iii: Neurorobotics And Neural Rehabilation Engineering. -- Chapter 25: Interfacing Neural And Artificial Systems: From Neuroengineering To Neurorobotics (P. Dario, C. Laschi, A. Menciassi, E. Guglielmelli, M. C. Carrozza, And S. Micera). -- Chapter 26: Neurocontroller For Robot Arms Based On Biologically Inspired Visuomotor Coordination Neural Models (E. Guglielmelli, G. Asuni, F. Leoni, A. Starita, And P. Dario). -- Chapter 27: Muscle Synergies For Motor Control (Andrea D'avella And Matthew Tresch). -- Chapter 28: Robots With Neural Building Blocks (Henrik Hautop Lund And Jacob Nielsen) -- Chapter 29: Decoding Sensory Stimuli From Populations Of Neurons: Methods For Long-term Longitudinal Studies (Guglielmo Foffani, Banu Tutunculer, Steven C. Leiser, And Karen A. Moxon) -- Chapter 30: Model Of Mammalian Visual System With Optical Logic Cells (J. A. Mart&1acute;n-pereda And A. Gonziưlez Marcos). -- Chapter 31: Cns Reorganization During Sensory-supported Treadmill Training (I. Cikajlo, Z. Matjačić, And T. Bajd). -- Chapter 32: Independent Component Analysis Of Surface Emg For Detection Of Single Motoneurons Firing In Voluntary Isometric Contraction (Gonzalo A. Garc&1acute;a, Ryuhei Okuno, And Kenzo Akazawa). -- Chapter 33: Recent Advances In Composite Aep/eeg Indices For Estimating Hypnotic Depth During General Anesthesia? (Erik Weber Jensen, Pablo Martinez, Hector Litvan, Hugo Vereecke, Bernardo Rodriguez, And Michel M. R. F. Struys). -- Chapter 34: Eng Recording Amplifier Configurations For Tripolar Cuff Electrodes (I. F. Triantis, A. Demosthenous, M. S. Rahal, And N. Donaldson). -- Chapter 35: Cable Equation Model For Myelinated Nerve Fiber (P. D. Einziger, L. M. Livshitz, And J. Mizrahi). -- Chapter 36: Bayesian Networks For Modeling Cortical Integration Paul Sajda, Kyungim Baek And Leif Finkel).
Chapter 37: Normal And Abnormal Auditory Information Processing Revealed By Nonstationary Signal Analysis Of Eeg (Ben H. Jansen, Anant Hegde, Jacob Ruben, And Nashaat N. Boutros). -- Chapter 38: Probing Oscillatory Visual Dynamics At The Perceptual Level (H. Fotowat, H. &gcaron;men, H. E. Bedell, And B. G. Breitmeyer). -- Chapter 39: Nonlinear Approaches To Learning And Memory (Klaus Lehnertz). -- Chapter 40: Single-trial Analysis Of Eeg For Enabling Cognitive User Interfaces (Adam D. Gerson, Lucas C. Parra, And Paul Sajda). -- Index. -- About The Editor.
Record Nr. UNINA-9910830035803321
Hoboken, New Jersey : , : Wiley, , c2007
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Handbook of neural engineering / / edited by Metin Akay
Handbook of neural engineering / / edited by Metin Akay
Pubbl/distr/stampa Hoboken, N.J., : Wiley
Descrizione fisica 1 online resource (681 p.)
Disciplina 006.32
612.80113
616.8
Altri autori (Persone) AkayMetin
Collana IEEE Press Series on Biomedical Engineering
Soggetto topico Computational neuroscience
Biomedical engineering
Neural networks (Neurobiology)
Neural networks (Computer science)
Nervous system - Computer simulation
ISBN 9786610826971
9781280826979
1280826975
9780470068298
0470068299
9781601195036
1601195036
9780470068281
0470068280
Classificazione 44.90
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Preface. -- Contributors. -- Part I: Neural Signal And Image Processing And Modeling. -- Chapter 1: Optimal Signal Processing For Brain-machine Interfaces (justin C. Sanchez And Jose C. Principe). -- Chapter 2: Modulation Of Electrophysiological Activity In Neural Networks: Toward A Bioartificial Living System (laura Bonzano, Alessandro Vato, Michela Chiappalone, And Sergio Martinoia). -- Chapter 3: Estimation Of Posterior Probabilities With Neural Networks: Application To Microcalcification Detection In Breast Cancer Diagnosis (Juan Ignacio Arribas, Jesus Cid-sueiro, And Carlos Alberola-lopez). -- Chapter 4: Identification Of Central Auditory Processing Disorders By Binaurally Evoked Brainstem Responses (Daniel J. Strauss, Wolfgang Delb, And Peter K. Plinkert). -- Chapter 5: Functional Characterization Of Adaptive Visual Encoding (Nicholas A. Lesica And Garrett B. Stanley). -- Chapter 6: Deconvolution Of Overlapping Auditory Brainstem Responses Obtained At High Stimulus Rates (O. Ozdamar, R. E. Delgado, E. Yavuz, And N. Acikgoz). -- Chapter 7: Autonomic Cardiac Modulation At Sinoatrial And Atrioventricular Nodes: Observations And Models (s. Ward, R. Shouldice, C. Heneghan, P. Nolan, And G. Mcdarby). -- Chapter 8: Neural Networks And Time-frequency Analysis Of Surface Electromyographic Signals For Muscle Cerebral Control (Bruno Azzerboni, Maurizio Ipsale, Fabio La Foresta, And Francesco Carlo Morabito). -- Chapter 9: Multiresolution Fractal Analysis Of Medical Images (Khan M. Iftekharuddin And Carlos Parra). -- Chapter 10: Methods For Neural-network-based Segmentation Of Magnetic Resonance Images (Lia Morra, Silvia Delsanto, And Fabrizio Lamberti). -- Chapter 11: High-resolution Eeg And Estimation Of Cortical Activity For Brain-computer Interface Applications (F. Cincotti, M. Mattiocco, D. Mattia, F. Babiloni, And L. Astolfi) -- Chapter 12: Estimation Of Cortical Sources Related To Short-term Memory In Humans With Highresolution Eeg Recordings And Statistical Probability Mapping (L. Astolfi, D. Mattia, F. Babiloni, And F. Cincotti).
chapter 13: Exploring Semantic Memory Areas By Functional Mri (G. Rizzo, P. Vitali, G. Baselli, M. Tettamanti, P. Scifo, S. Cerutti, D. Perani, And F. Fazio). -- Part Ii: Neuro-nanotechnology: Artificial Implants And Neural Protheses. -- Chapter 14: Restoration Of Movement By Implantable Neural Motor Prostheses (Thomas Sinkjar And Dejan B. Popovic). -- Chapter 15: Hybrid Olfactory Biosensor Using Multichannel Electroantennogram: Design And Application (John R. Hetling, Andrew J. Myrick, Kye-chung Park, And Thomas C. Baker). -- Chapter 16: Reconfigurable Retina-like Preprocessing Platform For Cortical Visual Neuroprostheses (Samuel Romero, Francisco J. Pelayo, Christian A. Morillas, Antonio Martinez, And Eduardo Fernandez). -- Chapter 17: Biomimetic Integration Of Neural And Acoustic Signal Processing (Rolf Muller And Herbert Peremans). -- Chapter 18: Retinal Image And Phosphene Image: An Analogy (Luke E. Hallum, Spencer C. Chen, Gregg J. Suaning, And Nigel H. Lovell). -- Chapter 19: Brain-implantable Biomimetic Electronics As Neural Prostheses To Restore Lost Cognitive Function (Theodore W. Berger, Ashish Ahuja, Spiros H. Courellis, Gopal Erinjippurath, Ghassan Gholmieh, John J. Granacki, Min Chi Hsaio, Jeff Lacoss, Vasilis Z. Marmarelis, Patrick Nasiatka, Vijay Srinivasan, Dong Song, Armand R. Tanguay, Jr., And Jack Wills). -- Chapter 20: Advances In Retinal Neuroprosthetics (Nigel H. Lovell, Luke E. Hallum, Spencer C. Chen, Socrates Dokos, Philip Byrnes-preston, Rylie Green, Laura Poole-warren, Torsten Lehmann, And Gregg J. Suaning). -- Chapter 21: Towards A Cultured Neural Probe: Patterning Of Networks And Their Electrical Activity (W. L. C. Rutten, T. G. Ruardij, E. Marani, And B. H. Roelofsen). -- Chapter 22: Spike Superposition Resolution In Multichannel Extracellular Neural Recordings: A Novel Approach (Karim Oweiss And David Anderson). -- Chapter 23: Toward A Button-sized 1024-site Wireless Cortical Microstimulating Array (Maysam Ghovanloo And Khalil Najafi).
Chapter 24: Practical Considerations In Retinal Neuroprosthesis Design (Gregg J. Suaning, Luke E. Hallum, Spencer Chen, Philip Preston, Socrates Dokos, And Nigel H. Lovell). -- Part Iii: Neurorobotics And Neural Rehabilation Engineering. -- Chapter 25: Interfacing Neural And Artificial Systems: From Neuroengineering To Neurorobotics (P. Dario, C. Laschi, A. Menciassi, E. Guglielmelli, M. C. Carrozza, And S. Micera). -- Chapter 26: Neurocontroller For Robot Arms Based On Biologically Inspired Visuomotor Coordination Neural Models (E. Guglielmelli, G. Asuni, F. Leoni, A. Starita, And P. Dario). -- Chapter 27: Muscle Synergies For Motor Control (Andrea D'avella And Matthew Tresch). -- Chapter 28: Robots With Neural Building Blocks (Henrik Hautop Lund And Jacob Nielsen) -- Chapter 29: Decoding Sensory Stimuli From Populations Of Neurons: Methods For Long-term Longitudinal Studies (Guglielmo Foffani, Banu Tutunculer, Steven C. Leiser, And Karen A. Moxon) -- Chapter 30: Model Of Mammalian Visual System With Optical Logic Cells (J. A. Mart&1acute;n-pereda And A. Gonziưlez Marcos). -- Chapter 31: Cns Reorganization During Sensory-supported Treadmill Training (I. Cikajlo, Z. Matjačić, And T. Bajd). -- Chapter 32: Independent Component Analysis Of Surface Emg For Detection Of Single Motoneurons Firing In Voluntary Isometric Contraction (Gonzalo A. Garc&1acute;a, Ryuhei Okuno, And Kenzo Akazawa). -- Chapter 33: Recent Advances In Composite Aep/eeg Indices For Estimating Hypnotic Depth During General Anesthesia? (Erik Weber Jensen, Pablo Martinez, Hector Litvan, Hugo Vereecke, Bernardo Rodriguez, And Michel M. R. F. Struys). -- Chapter 34: Eng Recording Amplifier Configurations For Tripolar Cuff Electrodes (I. F. Triantis, A. Demosthenous, M. S. Rahal, And N. Donaldson). -- Chapter 35: Cable Equation Model For Myelinated Nerve Fiber (P. D. Einziger, L. M. Livshitz, And J. Mizrahi). -- Chapter 36: Bayesian Networks For Modeling Cortical Integration Paul Sajda, Kyungim Baek And Leif Finkel).
Chapter 37: Normal And Abnormal Auditory Information Processing Revealed By Nonstationary Signal Analysis Of Eeg (Ben H. Jansen, Anant Hegde, Jacob Ruben, And Nashaat N. Boutros). -- Chapter 38: Probing Oscillatory Visual Dynamics At The Perceptual Level (H. Fotowat, H. &gcaron;men, H. E. Bedell, And B. G. Breitmeyer). -- Chapter 39: Nonlinear Approaches To Learning And Memory (Klaus Lehnertz). -- Chapter 40: Single-trial Analysis Of Eeg For Enabling Cognitive User Interfaces (Adam D. Gerson, Lucas C. Parra, And Paul Sajda). -- Index. -- About The Editor.
Record Nr. UNINA-9911019171303321
Hoboken, N.J., : Wiley
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Journal of computational neuroscience [[electronic resource]]
Journal of computational neuroscience [[electronic resource]]
Pubbl/distr/stampa [Dordrecht] : , : Kluwer Academic Publishers, , 1994-
Descrizione fisica 1 online resource (volumes) : illustrations, portraits
Disciplina 573.8011
Soggetto topico Nervous system - Mathematical models
Nervous system - Computer simulation
Neural networks (Neurobiology)
Computer Simulation
Models, Neurological
Neurosciences
Soggetto genere / forma Periodical
ISSN 1573-6873
Formato Materiale a stampa
Livello bibliografico Periodico
Lingua di pubblicazione eng
Record Nr. UNISA-996205610103316
[Dordrecht] : , : Kluwer Academic Publishers, , 1994-
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Journal of computational neuroscience
Journal of computational neuroscience
Pubbl/distr/stampa [Dordrecht], : Kluwer Academic Publishers
Disciplina 573.8011
Soggetto topico Nervous system - Mathematical models
Nervous system - Computer simulation
Neural networks (Neurobiology)
Computer Simulation
Models, Neurological
Neurosciences
Système nerveux - Modèles mathématiques
Système nerveux - Simulation par ordinateur
Réseaux neuronaux (Neurobiologie)
simulation
Neurociència computacional
Neurociències
Sistema nerviós
Xarxes neuronals (Neurobiologia)
Simulació per ordinador
Models matemàtics
Soggetto genere / forma periodicals.
Periodicals.
Périodiques.
Revistes electròniques.
ISSN 1573-6873
Formato Materiale a stampa
Livello bibliografico Periodico
Lingua di pubblicazione eng
Record Nr. UNINA-9910146885003321
[Dordrecht], : Kluwer Academic Publishers
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Methods and models in neurophysics [[electronic resource] =] : Methodes et modeles en neurophysique : École d'Été de Physique des Houches, Session LXXX, 28 July-29 August 2003, Nato Advanced Study Institute, Ecole Thematique du CNRS / / edited by C.C. Chow ... [et al.]
Methods and models in neurophysics [[electronic resource] =] : Methodes et modeles en neurophysique : École d'Été de Physique des Houches, Session LXXX, 28 July-29 August 2003, Nato Advanced Study Institute, Ecole Thematique du CNRS / / edited by C.C. Chow ... [et al.]
Edizione [1st ed.]
Pubbl/distr/stampa Amsterdam ; ; San Diego, Calif., : Elsevier, 2005
Descrizione fisica 1 online resource (863 p.)
Disciplina 573.8/01/13
573.850113
Altri autori (Persone) ChowC. C (Carson C.)
Collana Les Houches
Soggetto topico Neural networks (Neurobiology) - Computer simulation
Nervous system - Computer simulation
Computational neuroscience
Soggetto genere / forma Electronic books.
ISBN 1-281-04744-9
9786611047443
0-08-053638-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Front Cover; Methods and Models in Neurophysics; Copyright Page; Contents; Course 1. Experimenting with theory; 1. Overcoming communication barriers; 2. Modeling with biological neurons-the dynamic clamp; 3. The traps inherent in building conductance-based models; 4. Theory can drive new experiments; 5. Conclusions; References; Course 2. Understanding neuronal dynamics by geometrical dissection of minimal models; 1. Introduction; 2. Revisiting the Hodgkin-Huxley equations; 3. Morris-Lecar model; 4. Bursting, cellular level
5. Bursting, network generated. Episodic rhythms in the developing spinal cord6. Chapter summary; References; Course 3. Geometric singular perturbation analysis of neuronal dynamics; 1. Introduction; 2. Introduction to dynamical systems; 3. Properties of a single neuron; 4. Two mutually coupled cells; 5. Excitatory-inhibitory networks; 6. Activity patterns in the basal ganglia; References; Course 4. Theory of neural synchrony; 1. Introduction; 2. Weakly coupled oscillators; 3. Strongly coupled oscillators: mechanisms of synchrony; 4. Conclusion
Appendix A. Hodgkin-Huxley and Wang-Buszaki models Appendix B. Measure of synchrony and variability in numerical simulations; Appendix C. Reduction of a conductance-based model to the QIF model; References; Course 5. Some useful numerical techniques for simulating integrate-and-fire networks; 1.Introduction; 2. The conductance-based I&F model; 3. Modified time-stepping schemes; 4. Synaptic interactions; 5. Simulating a V1 model; References; Course 6. Propagation of pulses in cortical networks: the single-spike approximation; 1. Introduction
2. Propagating pulses in networks of excitatory neurons 3. Propagating pulses in networks of excitatory and inhibitory neurons; 4. Discussion; Appendix A. Stability of the lower branch; References; Course 7. Activity-dependent transmission in neocortical synapses; 1. Introduction; 2. Phenomenological model of synaptic depression and facilitation; 3. Dynamic synaptic transmission on the population level; 4. Recurrent networks with synaptic depression; 5. Conclusion; References; Course 8. Theory of large recurrent networks: from spikes to behavior; 1. Introduction
2. From spikes to rates I: rates in asynchronous states 3. From spikes to rates II: dynamics and conductances; 4. Persistent activity and neural integration in the brain; 5. Feature selectivity in recurrent networks-the ring model; 6. Models of associative memory; 7. Concluding remarks; References; Course 9. Irregular activity in large networks of neurons; 1. Introduction; 2. A simple binary model; 3. A memory model; 4. A model of visual cortex hypercolumn; 5. Adding realism: integrate-and-fire network; 6. Discussion; References; Course 10. Network models of memory; 1. Introduction
2. Persistent neuronal activity during delayed response experiments
Record Nr. UNINA-9910457264003321
Amsterdam ; ; San Diego, Calif., : Elsevier, 2005
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Methods and models in neurophysics [[electronic resource] =] : Methodes et modeles en neurophysique : École d'Été de Physique des Houches, Session LXXX, 28 July-29 August 2003, Nato Advanced Study Institute, Ecole Thematique du CNRS / / edited by C.C. Chow ... [et al.]
Methods and models in neurophysics [[electronic resource] =] : Methodes et modeles en neurophysique : École d'Été de Physique des Houches, Session LXXX, 28 July-29 August 2003, Nato Advanced Study Institute, Ecole Thematique du CNRS / / edited by C.C. Chow ... [et al.]
Edizione [1st ed.]
Pubbl/distr/stampa Amsterdam ; ; San Diego, Calif., : Elsevier, 2005
Descrizione fisica 1 online resource (863 p.)
Disciplina 573.8/01/13
573.850113
Altri autori (Persone) ChowC. C (Carson C.)
Collana Les Houches
Soggetto topico Neural networks (Neurobiology) - Computer simulation
Nervous system - Computer simulation
Computational neuroscience
ISBN 1-281-04744-9
9786611047443
0-08-053638-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Front Cover; Methods and Models in Neurophysics; Copyright Page; Contents; Course 1. Experimenting with theory; 1. Overcoming communication barriers; 2. Modeling with biological neurons-the dynamic clamp; 3. The traps inherent in building conductance-based models; 4. Theory can drive new experiments; 5. Conclusions; References; Course 2. Understanding neuronal dynamics by geometrical dissection of minimal models; 1. Introduction; 2. Revisiting the Hodgkin-Huxley equations; 3. Morris-Lecar model; 4. Bursting, cellular level
5. Bursting, network generated. Episodic rhythms in the developing spinal cord6. Chapter summary; References; Course 3. Geometric singular perturbation analysis of neuronal dynamics; 1. Introduction; 2. Introduction to dynamical systems; 3. Properties of a single neuron; 4. Two mutually coupled cells; 5. Excitatory-inhibitory networks; 6. Activity patterns in the basal ganglia; References; Course 4. Theory of neural synchrony; 1. Introduction; 2. Weakly coupled oscillators; 3. Strongly coupled oscillators: mechanisms of synchrony; 4. Conclusion
Appendix A. Hodgkin-Huxley and Wang-Buszaki models Appendix B. Measure of synchrony and variability in numerical simulations; Appendix C. Reduction of a conductance-based model to the QIF model; References; Course 5. Some useful numerical techniques for simulating integrate-and-fire networks; 1.Introduction; 2. The conductance-based I&F model; 3. Modified time-stepping schemes; 4. Synaptic interactions; 5. Simulating a V1 model; References; Course 6. Propagation of pulses in cortical networks: the single-spike approximation; 1. Introduction
2. Propagating pulses in networks of excitatory neurons 3. Propagating pulses in networks of excitatory and inhibitory neurons; 4. Discussion; Appendix A. Stability of the lower branch; References; Course 7. Activity-dependent transmission in neocortical synapses; 1. Introduction; 2. Phenomenological model of synaptic depression and facilitation; 3. Dynamic synaptic transmission on the population level; 4. Recurrent networks with synaptic depression; 5. Conclusion; References; Course 8. Theory of large recurrent networks: from spikes to behavior; 1. Introduction
2. From spikes to rates I: rates in asynchronous states 3. From spikes to rates II: dynamics and conductances; 4. Persistent activity and neural integration in the brain; 5. Feature selectivity in recurrent networks-the ring model; 6. Models of associative memory; 7. Concluding remarks; References; Course 9. Irregular activity in large networks of neurons; 1. Introduction; 2. A simple binary model; 3. A memory model; 4. A model of visual cortex hypercolumn; 5. Adding realism: integrate-and-fire network; 6. Discussion; References; Course 10. Network models of memory; 1. Introduction
2. Persistent neuronal activity during delayed response experiments
Record Nr. UNINA-9910784591403321
Amsterdam ; ; San Diego, Calif., : Elsevier, 2005
Materiale a stampa
Lo trovi qui: Univ. Federico II
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