Chaotic Dynamics Applied to Biological Information Processing / / John S. Nicolis.
Saved in:
| Superior document: | Title is part of eBook package: De Gruyter DGBA Reference Works <1990 |
|---|---|
| VerfasserIn: | |
| Place / Publishing House: | Berlin ;, Boston : : De Gruyter, , [2022] ©1987 |
| Year of Publication: | 2022 |
| Edition: | Reprint 2021 |
| Language: | English |
| Series: | Mathematical Ecology
|
| Online Access: | |
| Physical Description: | 1 online resource (120 p.) |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| id |
9783112541364 |
|---|---|
| ctrlnum |
(DE-B1597)609621 (OCoLC)1301546684 |
| collection |
bib_alma |
| record_format |
marc |
| spelling |
Nicolis, John S., author. aut http://id.loc.gov/vocabulary/relators/aut Chaotic Dynamics Applied to Biological Information Processing / John S. Nicolis. Reprint 2021 Berlin ; Boston : De Gruyter, [2022] ©1987 1 online resource (120 p.) text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Mathematical Ecology Frontmatter -- Preface -- Contents -- 1 . Introduction -- 2. Symmetry and symmetry breaking. Information generation -- 3. Collisions versus iterations: A basic isomorphism between physical and symbolic dynamics (see also Appendix) -- 4. Lyapunov exponents of chaotic flows in multidimensional state space. The non-uniform factor NUF -- 5. A typical three-dimensional strange attractor. The Lorenz model -- 6. Parameters characterizing the average behaviour of chaotic strange attractors (dimensions, entropies, and Lyapunov exponents) -- 7. The electrical activity of the brain - should it be chaotic? -- 8. The problem of computational complexity -- 9. Application to cognitive processess: The "magic number seven" plus-minus two revisited -- 10. Intermlttency In perception and communication processes -- 11 . Thermodynamics of (fractal) curves and patterns In the plane -- 12. Concluding remarks -- Appendix: A physical system composed of N hard spheres -- References restricted access http://purl.org/coar/access_right/c_16ec online access with authorization star Issued also in print. Mode of access: Internet via World Wide Web. In English. Description based on online resource; title from PDF title page (publisher's Web site, viewed 01. Dez 2022) SCIENCE / System Theory. bisacsh Title is part of eBook package: De Gruyter DGBA Reference Works <1990 9783110637342 ZDB-23-GRW print 9783112541357 https://doi.org/10.1515/9783112541364 https://www.degruyter.com/isbn/9783112541364 Cover https://www.degruyter.com/document/cover/isbn/9783112541364/original |
| language |
English |
| format |
eBook |
| author |
Nicolis, John S., Nicolis, John S., |
| spellingShingle |
Nicolis, John S., Nicolis, John S., Chaotic Dynamics Applied to Biological Information Processing / Mathematical Ecology Frontmatter -- Preface -- Contents -- 1 . Introduction -- 2. Symmetry and symmetry breaking. Information generation -- 3. Collisions versus iterations: A basic isomorphism between physical and symbolic dynamics (see also Appendix) -- 4. Lyapunov exponents of chaotic flows in multidimensional state space. The non-uniform factor NUF -- 5. A typical three-dimensional strange attractor. The Lorenz model -- 6. Parameters characterizing the average behaviour of chaotic strange attractors (dimensions, entropies, and Lyapunov exponents) -- 7. The electrical activity of the brain - should it be chaotic? -- 8. The problem of computational complexity -- 9. Application to cognitive processess: The "magic number seven" plus-minus two revisited -- 10. Intermlttency In perception and communication processes -- 11 . Thermodynamics of (fractal) curves and patterns In the plane -- 12. Concluding remarks -- Appendix: A physical system composed of N hard spheres -- References |
| author_facet |
Nicolis, John S., Nicolis, John S., |
| author_variant |
j s n js jsn j s n js jsn |
| author_role |
VerfasserIn VerfasserIn |
| author_sort |
Nicolis, John S., |
| title |
Chaotic Dynamics Applied to Biological Information Processing / |
| title_full |
Chaotic Dynamics Applied to Biological Information Processing / John S. Nicolis. |
| title_fullStr |
Chaotic Dynamics Applied to Biological Information Processing / John S. Nicolis. |
| title_full_unstemmed |
Chaotic Dynamics Applied to Biological Information Processing / John S. Nicolis. |
| title_auth |
Chaotic Dynamics Applied to Biological Information Processing / |
| title_alt |
Frontmatter -- Preface -- Contents -- 1 . Introduction -- 2. Symmetry and symmetry breaking. Information generation -- 3. Collisions versus iterations: A basic isomorphism between physical and symbolic dynamics (see also Appendix) -- 4. Lyapunov exponents of chaotic flows in multidimensional state space. The non-uniform factor NUF -- 5. A typical three-dimensional strange attractor. The Lorenz model -- 6. Parameters characterizing the average behaviour of chaotic strange attractors (dimensions, entropies, and Lyapunov exponents) -- 7. The electrical activity of the brain - should it be chaotic? -- 8. The problem of computational complexity -- 9. Application to cognitive processess: The "magic number seven" plus-minus two revisited -- 10. Intermlttency In perception and communication processes -- 11 . Thermodynamics of (fractal) curves and patterns In the plane -- 12. Concluding remarks -- Appendix: A physical system composed of N hard spheres -- References |
| title_new |
Chaotic Dynamics Applied to Biological Information Processing / |
| title_sort |
chaotic dynamics applied to biological information processing / |
| series |
Mathematical Ecology |
| series2 |
Mathematical Ecology |
| publisher |
De Gruyter, |
| publishDate |
2022 |
| physical |
1 online resource (120 p.) Issued also in print. |
| edition |
Reprint 2021 |
| contents |
Frontmatter -- Preface -- Contents -- 1 . Introduction -- 2. Symmetry and symmetry breaking. Information generation -- 3. Collisions versus iterations: A basic isomorphism between physical and symbolic dynamics (see also Appendix) -- 4. Lyapunov exponents of chaotic flows in multidimensional state space. The non-uniform factor NUF -- 5. A typical three-dimensional strange attractor. The Lorenz model -- 6. Parameters characterizing the average behaviour of chaotic strange attractors (dimensions, entropies, and Lyapunov exponents) -- 7. The electrical activity of the brain - should it be chaotic? -- 8. The problem of computational complexity -- 9. Application to cognitive processess: The "magic number seven" plus-minus two revisited -- 10. Intermlttency In perception and communication processes -- 11 . Thermodynamics of (fractal) curves and patterns In the plane -- 12. Concluding remarks -- Appendix: A physical system composed of N hard spheres -- References |
| isbn |
9783112541364 9783110637342 9783112541357 |
| url |
https://doi.org/10.1515/9783112541364 https://www.degruyter.com/isbn/9783112541364 https://www.degruyter.com/document/cover/isbn/9783112541364/original |
| illustrated |
Not Illustrated |
| doi_str_mv |
10.1515/9783112541364 |
| oclc_num |
1301546684 |
| work_keys_str_mv |
AT nicolisjohns chaoticdynamicsappliedtobiologicalinformationprocessing |
| status_str |
n |
| ids_txt_mv |
(DE-B1597)609621 (OCoLC)1301546684 |
| carrierType_str_mv |
cr |
| hierarchy_parent_title |
Title is part of eBook package: De Gruyter DGBA Reference Works <1990 |
| is_hierarchy_title |
Chaotic Dynamics Applied to Biological Information Processing / |
| container_title |
Title is part of eBook package: De Gruyter DGBA Reference Works <1990 |
| _version_ |
1806145440967557120 |
| fullrecord |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>03318nam a22006855i 4500</leader><controlfield tag="001">9783112541364</controlfield><controlfield tag="003">DE-B1597</controlfield><controlfield tag="005">20221201113901.0</controlfield><controlfield tag="006">m|||||o||d||||||||</controlfield><controlfield tag="007">cr || ||||||||</controlfield><controlfield tag="008">221201t20221987gw fo d z eng d</controlfield><datafield tag="019" ind1=" " ind2=" "><subfield code="a">(OCoLC)1302165394</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9783112541364</subfield></datafield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1515/9783112541364</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-B1597)609621</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1301546684</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-B1597</subfield><subfield code="b">eng</subfield><subfield code="c">DE-B1597</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="044" ind1=" " ind2=" "><subfield code="a">gw</subfield><subfield code="c">DE</subfield></datafield><datafield tag="072" ind1=" " ind2="7"><subfield code="a">SCI064000</subfield><subfield code="2">bisacsh</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Nicolis, John S., </subfield><subfield code="e">author.</subfield><subfield code="4">aut</subfield><subfield code="4">http://id.loc.gov/vocabulary/relators/aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Chaotic Dynamics Applied to Biological Information Processing /</subfield><subfield code="c">John S. Nicolis.</subfield></datafield><datafield tag="250" ind1=" " ind2=" "><subfield code="a">Reprint 2021</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Berlin ;</subfield><subfield code="a">Boston : </subfield><subfield code="b">De Gruyter, </subfield><subfield code="c">[2022]</subfield></datafield><datafield tag="264" ind1=" " ind2="4"><subfield code="c">©1987</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 online resource (120 p.)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">computer</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">online resource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="347" ind1=" " ind2=" "><subfield code="a">text file</subfield><subfield code="b">PDF</subfield><subfield code="2">rda</subfield></datafield><datafield tag="490" ind1="0" ind2=" "><subfield code="a">Mathematical Ecology</subfield></datafield><datafield tag="505" ind1="0" ind2="0"><subfield code="t">Frontmatter -- </subfield><subfield code="t">Preface -- </subfield><subfield code="t">Contents -- </subfield><subfield code="t">1 . Introduction -- </subfield><subfield code="t">2. Symmetry and symmetry breaking. Information generation -- </subfield><subfield code="t">3. Collisions versus iterations: A basic isomorphism between physical and symbolic dynamics (see also Appendix) -- </subfield><subfield code="t">4. Lyapunov exponents of chaotic flows in multidimensional state space. The non-uniform factor NUF -- </subfield><subfield code="t">5. A typical three-dimensional strange attractor. The Lorenz model -- </subfield><subfield code="t">6. Parameters characterizing the average behaviour of chaotic strange attractors (dimensions, entropies, and Lyapunov exponents) -- </subfield><subfield code="t">7. The electrical activity of the brain - should it be chaotic? -- </subfield><subfield code="t">8. The problem of computational complexity -- </subfield><subfield code="t">9. Application to cognitive processess: The "magic number seven" plus-minus two revisited -- </subfield><subfield code="t">10. Intermlttency In perception and communication processes -- </subfield><subfield code="t">11 . Thermodynamics of (fractal) curves and patterns In the plane -- </subfield><subfield code="t">12. Concluding remarks -- </subfield><subfield code="t">Appendix: A physical system composed of N hard spheres -- </subfield><subfield code="t">References</subfield></datafield><datafield tag="506" ind1="0" ind2=" "><subfield code="a">restricted access</subfield><subfield code="u">http://purl.org/coar/access_right/c_16ec</subfield><subfield code="f">online access with authorization</subfield><subfield code="2">star</subfield></datafield><datafield tag="530" ind1=" " ind2=" "><subfield code="a">Issued also in print.</subfield></datafield><datafield tag="538" ind1=" " ind2=" "><subfield code="a">Mode of access: Internet via World Wide Web.</subfield></datafield><datafield tag="546" ind1=" " ind2=" "><subfield code="a">In English.</subfield></datafield><datafield tag="588" ind1="0" ind2=" "><subfield code="a">Description based on online resource; title from PDF title page (publisher's Web site, viewed 01. Dez 2022)</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">SCIENCE / System Theory.</subfield><subfield code="2">bisacsh</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Title is part of eBook package:</subfield><subfield code="d">De Gruyter</subfield><subfield code="t">DGBA Reference Works <1990</subfield><subfield code="z">9783110637342</subfield><subfield code="o">ZDB-23-GRW</subfield></datafield><datafield tag="776" ind1="0" ind2=" "><subfield code="c">print</subfield><subfield code="z">9783112541357</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1515/9783112541364</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://www.degruyter.com/isbn/9783112541364</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="3">Cover</subfield><subfield code="u">https://www.degruyter.com/document/cover/isbn/9783112541364/original</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">EBA_BACKALL</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">EBA_DGALL</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">EBA_EBACKALL</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">EBA_EBKALL</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">EBA_EEBKALL</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">EBA_ESSHALL</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">EBA_ESTMALL</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">EBA_SSHALL</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">EBA_STMALL</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV-deGruyter-alles</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">PDA11SSHE</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">PDA12STME</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">PDA13ENGE</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">PDA17SSHEE</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">PDA18STMEE</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">PDA5EBK</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-23-GRW</subfield><subfield code="b">1990</subfield></datafield></record></collection> |