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BioInformation Processing [[electronic resource] ] : A Primer on Computational Cognitive Science / / by James K. Peterson
| BioInformation Processing [[electronic resource] ] : A Primer on Computational Cognitive Science / / by James K. Peterson |
| Autore | Peterson James K |
| Edizione | [1st ed. 2016.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2016 |
| Descrizione fisica | 1 online resource (584 p.) |
| Disciplina | 620 |
| Collana | Cognitive Science and Technology |
| Soggetto topico |
Computational intelligence
Mathematical physics Neural networks (Computer science) Artificial intelligence Optical data processing Computational Intelligence Theoretical, Mathematical and Computational Physics Mathematical Models of Cognitive Processes and Neural Networks Artificial Intelligence Computer Imaging, Vision, Pattern Recognition and Graphics |
| ISBN | 981-287-871-8 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | BioInformation Processing -- The Diffusion Equation -- Integral Transforms -- The Time Dependent Cable Solution -- Mammalian Neural Structure -- Abstracting Principles of Computation -- Abstracting Principles of Computation -- Second Messenger Diffusion Pathways -- The Abstract Neuron Model -- Emotional Models -- Generation of Music Data: J. Peterson and L. Dzuris -- Generation of Painting Data: J. Peterson, L. Dzuris and Q. Peterson -- Modeling Compositional Design -- Networks Of Excitable Neurons -- Training The Model -- Matrix Feed Forward Networks -- Chained Feed Forward Architectures -- Graph Models -- Address Based Graphs -- Building Brain Models -- Models of Cognitive Dysfunction -- Conclusions -- Background Reading. |
| Record Nr. | UNINA-9910253963003321 |
Peterson James K
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| Singapore : , : Springer Singapore : , : Imprint : Springer, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Calculus for cognitive scientists [[electronic resource] ] : derivatives, integrals and models / / by James K. Peterson
| Calculus for cognitive scientists [[electronic resource] ] : derivatives, integrals and models / / by James K. Peterson |
| Autore | Peterson James K |
| Edizione | [1st ed. 2016.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2016 |
| Descrizione fisica | 1 online resource (519 p.) |
| Disciplina | 515 |
| Collana | Cognitive Science and Technology |
| Soggetto topico |
Computational intelligence
Neural networks (Computer science) Mathematical physics Artificial intelligence Optical data processing Computational Intelligence Mathematical Models of Cognitive Processes and Neural Networks Theoretical, Mathematical and Computational Physics Artificial Intelligence Computer Imaging, Vision, Pattern Recognition and Graphics |
| ISBN | 981-287-874-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introductory Remarks -- Viability Selection -- Limits and Basic Smoothness -- Continuity and Derivatives -- Sin, Cos and All That -- Antiderivatives -- Substitutions -- Riemann Integration -- The Logarithm and Its Inverse -- Exponential and Logarithm Function Properties -- Simple Rate Equations -- Simple Protein Models -- Logistics Models -- Function Approximation -- Extreme Values -- Numerical Methods Order One ODEs -- Advanced Protein Models -- Matrices and Vectors -- A Cancer Model -- First Order Multivariable Calculus -- Second Order Multivariable Calculus -- Hamilton’s Rule In Evolutionary Biology -- Final Thoughts -- Background Reading. |
| Record Nr. | UNINA-9910254250003321 |
|
Peterson James K
|
||
| Singapore : , : Springer Singapore : , : Imprint : Springer, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Calculus for cognitive scientists [[electronic resource] ] : higher order models and their analysis / / by James K. Peterson
| Calculus for cognitive scientists [[electronic resource] ] : higher order models and their analysis / / by James K. Peterson |
| Autore | Peterson James K |
| Edizione | [1st ed. 2016.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2016 |
| Descrizione fisica | 1 online resource (567 p.) |
| Disciplina | 515.15 |
| Collana | Cognitive Science and Technology |
| Soggetto topico |
Computational intelligence
Mathematical physics Neural networks (Computer science) Artificial intelligence Optical data processing Computational Intelligence Theoretical, Mathematical and Computational Physics Mathematical Models of Cognitive Processes and Neural Networks Artificial Intelligence Computer Imaging, Vision, Pattern Recognition and Graphics |
| ISBN | 981-287-877-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introductory Remarks -- Linear Algebra -- Numerical Methods Order One ODEs -- Multivariable Calculus -- Integration -- Complex Numbers -- Linear Second Order ODEs -- Systems -- Numerical Methods Systems of ODEs -- Predator Prey Models -- Predator Prey Models With Self Interaction -- Disease Models -- A Cancer Model -- Nonlinear Differential Equations -- An Insulin Model -- Series Solutions -- Final Thoughts -- Background Reading. |
| Record Nr. | UNINA-9910253963403321 |
|
Peterson James K
|
||
| Singapore : , : Springer Singapore : , : Imprint : Springer, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||