Stochastic Models for Spike Trains of Single Neurons
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Berlin, Heidelberg
Springer Berlin Heidelberg
1977
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| Schriftenreihe: | Lecture Notes in Biomathematics
16 |
| Schlagworte: | |
| Online-Zugang: | Volltext |
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| 245 | 1 | 0 | |a Stochastic Models for Spike Trains of Single Neurons |c by G. Sampath, S. K. Srinivasan |
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| 500 | |a 1 Some basic neurophysiology 4 The neuron 1. 1 4 1. 1. 1 The axon 7 1. 1. 2 The synapse 9 12 1. 1. 3 The soma 1. 1. 4 The dendrites 13 13 1. 2 Types of neurons 2 Signals in the nervous system 14 2. 1 Action potentials as point events - point processes in the nervous system 15 18 2. 2 Spontaneous activi~ in neurons 3 Stochastic modelling of single neuron spike trains 19 3. 1 Characteristics of a neuron spike train 19 3. 2 The mathematical neuron 23 4 Superposition models 26 4. 1 superposition of renewal processes 26 4. 2 Superposition of stationary point processe- limiting behaviour 34 4. 2. 1 Palm functions 35 4. 2. 2 Asymptotic behaviour of n stationary point processes superposed 36 4. 3 Superposition models of neuron spike trains 37 4. 3. 1 Model 4. 1 39 4. 3. 2 Model 4. 2 - A superposition model with 40 two input channels 40 4. 3. 3 Model 4. 3 4. 4 Discussion 41 43 5 Deletion models 5. 1 Deletion models with 1nd~endent interaction of excitatory and inhibitory sequences 44 VI 5. 1. 1 Model 5. 1 The basic deletion model 45 5. 1. 2 Higher-order properties of the sequence of r-events 55 5. 1. 3 Extended version of Model 5. 1 - Model 60 5. 2 5. 2 Models with dependent interaction of excitatory and inhibitory sequences - MOdels 5. 3 and 5 | ||
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Datensatz im Suchindex
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|---|---|
| any_adam_object | |
| author | Sampath, G. |
| author_facet | Sampath, G. |
| author_role | aut |
| author_sort | Sampath, G. |
| author_variant | g s gs |
| building | Verbundindex |
| bvnumber | BV042422535 |
| classification_tum | MAT 000 |
| collection | ZDB-2-SMA ZDB-2-BAE |
| ctrlnum | (OCoLC)863965201 (DE-599)BVBBV042422535 |
| dewey-full | 519.2 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 519 - Probabilities and applied mathematics |
| dewey-raw | 519.2 |
| dewey-search | 519.2 |
| dewey-sort | 3519.2 |
| dewey-tens | 510 - Mathematics |
| discipline | Mathematik |
| doi_str_mv | 10.1007/978-3-642-48302-8 |
| format | Electronic eBook |
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| illustrated | Not Illustrated |
| indexdate | 2024-12-24T04:23:25Z |
| institution | BVB |
| isbn | 9783642483028 9783540082576 |
| issn | 0341-633X |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-027857952 |
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| publishDate | 1977 |
| publishDateSearch | 1977 |
| publishDateSort | 1977 |
| publisher | Springer Berlin Heidelberg |
| record_format | marc |
| series2 | Lecture Notes in Biomathematics |
| spelling | Sampath, G. Verfasser aut Stochastic Models for Spike Trains of Single Neurons by G. Sampath, S. K. Srinivasan Berlin, Heidelberg Springer Berlin Heidelberg 1977 1 Online-Ressource (VIII, 190 p) txt rdacontent c rdamedia cr rdacarrier Lecture Notes in Biomathematics 16 0341-633X 1 Some basic neurophysiology 4 The neuron 1. 1 4 1. 1. 1 The axon 7 1. 1. 2 The synapse 9 12 1. 1. 3 The soma 1. 1. 4 The dendrites 13 13 1. 2 Types of neurons 2 Signals in the nervous system 14 2. 1 Action potentials as point events - point processes in the nervous system 15 18 2. 2 Spontaneous activi~ in neurons 3 Stochastic modelling of single neuron spike trains 19 3. 1 Characteristics of a neuron spike train 19 3. 2 The mathematical neuron 23 4 Superposition models 26 4. 1 superposition of renewal processes 26 4. 2 Superposition of stationary point processe- limiting behaviour 34 4. 2. 1 Palm functions 35 4. 2. 2 Asymptotic behaviour of n stationary point processes superposed 36 4. 3 Superposition models of neuron spike trains 37 4. 3. 1 Model 4. 1 39 4. 3. 2 Model 4. 2 - A superposition model with 40 two input channels 40 4. 3. 3 Model 4. 3 4. 4 Discussion 41 43 5 Deletion models 5. 1 Deletion models with 1nd~endent interaction of excitatory and inhibitory sequences 44 VI 5. 1. 1 Model 5. 1 The basic deletion model 45 5. 1. 2 Higher-order properties of the sequence of r-events 55 5. 1. 3 Extended version of Model 5. 1 - Model 60 5. 2 5. 2 Models with dependent interaction of excitatory and inhibitory sequences - MOdels 5. 3 and 5 Mathematics Distribution (Probability theory) Probability Theory and Stochastic Processes Mathematik Neurophysiologie (DE-588)4041897-2 gnd rswk-swf Nervenzelle (DE-588)4041649-5 gnd rswk-swf Stochastisches Modell (DE-588)4057633-4 gnd rswk-swf Nervenzelle (DE-588)4041649-5 s Stochastisches Modell (DE-588)4057633-4 s 1\p DE-604 Neurophysiologie (DE-588)4041897-2 s 2\p DE-604 Srinivasan, S. K. Sonstige oth https://doi.org/10.1007/978-3-642-48302-8 Verlag Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Sampath, G. Stochastic Models for Spike Trains of Single Neurons Mathematics Distribution (Probability theory) Probability Theory and Stochastic Processes Mathematik Neurophysiologie (DE-588)4041897-2 gnd Nervenzelle (DE-588)4041649-5 gnd Stochastisches Modell (DE-588)4057633-4 gnd |
| subject_GND | (DE-588)4041897-2 (DE-588)4041649-5 (DE-588)4057633-4 |
| title | Stochastic Models for Spike Trains of Single Neurons |
| title_auth | Stochastic Models for Spike Trains of Single Neurons |
| title_exact_search | Stochastic Models for Spike Trains of Single Neurons |
| title_full | Stochastic Models for Spike Trains of Single Neurons by G. Sampath, S. K. Srinivasan |
| title_fullStr | Stochastic Models for Spike Trains of Single Neurons by G. Sampath, S. K. Srinivasan |
| title_full_unstemmed | Stochastic Models for Spike Trains of Single Neurons by G. Sampath, S. K. Srinivasan |
| title_short | Stochastic Models for Spike Trains of Single Neurons |
| title_sort | stochastic models for spike trains of single neurons |
| topic | Mathematics Distribution (Probability theory) Probability Theory and Stochastic Processes Mathematik Neurophysiologie (DE-588)4041897-2 gnd Nervenzelle (DE-588)4041649-5 gnd Stochastisches Modell (DE-588)4057633-4 gnd |
| topic_facet | Mathematics Distribution (Probability theory) Probability Theory and Stochastic Processes Mathematik Neurophysiologie Nervenzelle Stochastisches Modell |
| url | https://doi.org/10.1007/978-3-642-48302-8 |
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