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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 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
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 | ||
| ||