Log in

Relevant bibliographies by topics / Mathematical Models of Cognitive Processes and Neural Networks / Books

To see the other types of publications on this topic, follow the link: Mathematical Models of Cognitive Processes and Neural Networks.

Books on the topic 'Mathematical Models of Cognitive Processes and Neural Networks'

Author: Grafiati

Published: 4 June 2021

Last updated: 26 January 2023

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the top 37 books for your research on the topic 'Mathematical Models of Cognitive Processes and Neural Networks.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Browse books on a wide variety of disciplines and organise your bibliography correctly.

1

Liu, Jinkun. Radial Basis Function (RBF) Neural Network Control for Mechanical Systems: Design, Analysis and Matlab Simulation. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

2

Buscema, Massimo. Intelligent Data Mining in Law Enforcement Analytics: New Neural Networks Applied to Real Problems. Dordrecht: Springer Netherlands, 2013.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

3

Magnani, Lorenzo. Philosophy and Cognitive Science: Western & Eastern Studies. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

4

Kozma, Robert. Advances in Neuromorphic Memristor Science and Applications. Dordrecht: Springer Netherlands, 2012.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

5

Schütze, Oliver. EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation II. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

6

Falmagne, Jean-Claude. Knowledge Spaces: Applications in Education. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

7

Falmagne, Jean-Claude, David Eppstein, Christopher Doble, Dietrich Albert, and Xiangen Hu. Knowledge spaces: Applications in education. Heidelberg: Springer, 2013.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

8

Spain) Neural Computation and Psychology Workshop (13th 2012 San Sebastián. Computational models of cognitive processes: Proceedings of the 13th Neural Computation and Psychology Workshop, San Sebastian, Spain, 12-14 July 2012. Edited by Mayor, Julien, editor of compilation and Gomez, Pablo (Pablo Alegria), editor of compilation. Hackensack,] New Jersey: World Scientific, 2014.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

9

1947-, Kitamura Tadashi, ed. What should be computed to understand and model brain function?: From robotics, soft computing, biology and neuroscience to cognitive philosophy. xii, 309 p: ill., 2001.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

10

Søren, Brunak, ed. Bioinformatics: The machine learning approach. 2nd ed. Cambridge, Mass: MIT Press, 2001.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

11

Søren, Brunak, ed. Bioinformatics: The machine learning approach. Cambridge, Mass: MIT Press, 1998.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

12

1919-, Pribram Karl H., and International Neural Network Society, eds. Brain and values: Is a biological science of values possible. Mahwah, N.J: Lawrence Erlbaum Associates, 1998.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

13

Kiong, Loo Chu. Biological and quantum computing for human vision: Holonomic models and applications. Hershey, PA: Medical Information Science Reference, 2011.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

14

BI 2010 (2010 Toronto, Ont.). Brain informatics: International conference, BI 2010, Toronto, ON, Canada, August 28-30, 2010 : proceedings. Berlin: Springer, 2010.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

15

Waves In Neural Media From Single Neurons To Neural Fields. Springer-Verlag New York Inc., 2013.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

16

Magnani, Lorenzo, and Ping Li. Philosophy and Cognitive Science: Western & Eastern Studies. Springer, 2014.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

17

(Editor), Roberto Moreno-Díaz, ed. Brain Processes, Theories, and Models: An International Conference in Honor of W. S. McCulloch 25 Years After His Death. The MIT Press, 1995.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

18

Pazienza, Giovanni E., Robert Kozma, and Robinson E. Pino. Advances in Neuromorphic Memristor Science and Applications. Springer Netherlands, 2016.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

19

Piccinini, Gualtiero. Computationalism. Edited by Eric Margolis, Richard Samuels, and Stephen P. Stich. Oxford University Press, 2012. http://dx.doi.org/10.1093/oxfordhb/9780195309799.013.0010.

Full text

Abstract:

The introduction of the concept of computation in cognitive science is discussed in this article. Computationalism is usually introduced as an empirical hypothesis that can be disconfirmed. Processing information is surely an important aspect of cognition so if computation is information processing, then cognition involves computation. Computationalism becomes more significant when it has explanatory power. The most relevant and explanatory notion of computation is that associated with digital computers. Turing analyzed computation in terms of what are now called Turing machines that are the kind of simple processor operating on an unbounded tape. Turing stated that any function that can be computed by an algorithm could be computed by a Turing machine. McCulloch and Pitts's account of cognition contains three important aspects that include an analogy between neural processes and digital computations, the use of mathematically defined neural networks as models, and an appeal to neurophysiological evidence to support their neural network models. Computationalism involves three accounts of computation such as causal, semantic, and mechanistic. There are mappings between any physical system and at least some computational descriptions under the causal account. The semantic account may be formulated as a restricted causal account.

APA, Harvard, Vancouver, ISO, and other styles

20

Falmagne, Jean-Claude, Christopher Doble, and Dietrich Albert. Knowledge Spaces: Applications in Education. Springer, 2013.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

21

Coello, Carlos A. Coello, Oliver Schütze, and Alexandru-Adrian Tantar. EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation II. Springer, 2012.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

22

Falmagne, Jean-Claude, David Eppstein, Christopher Doble, Dietrich Albert, and Xiangen Hu. Knowledge Spaces: Applications in Education. Springer, 2015.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

23

PerceptionAction Cycle Springer Series in Cognitive and Neural Systems. Springer, 2011.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

24

Roberto, Moreno-Díaz, Mira J, and McCulloch, Warren S. b. 1898., eds. Brain processes, theories, and models: An international conference in honor of W.S. McCulloch 25 years after his death. Cambridge, Mass: MIT Press, 1996.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

25

Nelles, Oliver. Nonlinear System Identification: From Classical Approaches to Neural Networks, Fuzzy Models, and Gaussian Processes. Springer International Publishing AG, 2021.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

26

(Editor), Glenn Brown, and Michael Oaksford (Editor), eds. Neurodynamics and Psychology. Academic Press, 1994.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

27

Rice, Daniel M. Calculus of Thought: Neuromorphic Logistic Regression in Cognitive Machines. Elsevier Science & Technology Books, 2013.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

28

Rice, Daniel M. Calculus of Thought: Neuromorphic Logistic Regression in Cognitive Machines. Elsevier Science & Technology Books, 2013.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

29

Kitamura, Tadashi. What Should be Computed to Understand and Model Brain Function? From Robotics, Soft Computing, Biology and Neuroscience to Cognitive Philosophy. World Scientific Publishing Company, 2001.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

30

Connectionist Models of Neurons, Learning Processes, and Artificial Intelligence: 6th International Work-Conference on Artificial and Natural Neural Networks, ... Part I (Lecture Notes in Computer Science). Springer, 2001.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

31

Konar, Amit. Cognitive Engineering: A Distributed Approach to Machine Intelligence. Springer London, Limited, 2007.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

32

Jain, Lakhmi C., and Amit Konar. Cognitive Engineering: A Distributed Approach to Machine Intelligence (Advanced Information and Knowledge Processing). Springer, 2005.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

33

Butyrskiy, Evgeniy, and Alexandr Matveev. Mathematical modeling of systems and processes. Strategy of the Future, 2022. http://dx.doi.org/10.37468/book_011222.

Full text

Abstract:

The monograph considers the fundamentals of systems theory and mathematical modeling using the principles of the systems approach. In the monograph, much attention is paid to set-theoretic, dynamic, as well as aggregative and combined models. Based on the group-theoretical approach, a generalization of the theory of signals, their characteristics are considered, their classification and some theorems are carried out. A separate chapter is devoted to mathematical models of signal interaction with the propagation medium. The monograph also considers mathematical models of stochastic signal processing and control systems based on spline filtering, artificial intelligence models and neural networks. The monograph can be useful for a wide range of specialists in various fields of knowledge dealing with mathematical modeling in their research, and can also be used as a teaching aid for conducting both classroom and independent theoretical and practical classes with bachelors, masters, graduate students in the discipline "System Theory and System Analysis", "Mathematical Modeling" and "Optimal and Suboptimal Estimation of Random Processes and Systems".

APA, Harvard, Vancouver, ISO, and other styles

34

José, Hanson Stephen, and Olson Carl R, eds. Connectionist modeling and brain function: The developing interface. Cambridge, Mass: MIT Press, 1990.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

35

(Editor), Stephen J. Hanson, and Carl R. Olson (Editor), eds. Connectionist Modeling and Brain Function: A Developing Interface (Bradford Books). The MIT Press, 1990.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

36

McNamara, Patrick, and Magda Giordano. Cognitive Neuroscience and Religious Language. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190636647.003.0005.

Full text

Abstract:

Communication between deities and human beings rests on the use of language. Religious language has peculiarities such as the use of a formal voice, reductions in first-person and elevation of third-person pronoun use, archaistic elements, and an abundance of speech acts—features that reflect and facilitate the binding of the individual to conceived ultimate reality and value, decentering the Self while focusing on the deity. Explorations of the neurologic correlates of these cognitive and linguistic processes may be useful to identify constraints on neurocognitive models of religious language, and metaphor. The key brain regions that may mediate religious language include neural networks known to be involved in computational assessments of value, future-oriented simulations, Self-agency, Self-reflection, and attributing intentionality of goals to others. Studies indicate that some of the areas involved in those processes are active during personal prayer, whereas brain regions related to habit formation appear active during formal prayer. By examining religious language, and the brain areas engaged by it, we aim to develop more comprehensive neurocognitive models of religious cognition.

APA, Harvard, Vancouver, ISO, and other styles

37

Gallagher, Shaun. Enactivist Interventions. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198794325.001.0001.

Full text

Abstract:

Enactivist Interventions explores central issues in the contemporary debates about embodied cognition, addressing interdisciplinary questions about intentionality, representation, affordances, the role of affect, and the problems of perception and cognitive penetration, action and free will, higher-order cognition, and intersubjectivity. It argues for a rethinking of the concept of mind, drawing on pragmatism, phenomenology, and cognitive science. It interprets enactivism as a philosophy of nature that has significant methodological and theoretical implications for the scientific investigation of the mind. Enactivist Interventions argues that, like the basic phenomena of perception and action, sophisticated cognitive phenomena like reflection, imagining, and mathematical reasoning are best explained in terms of an affordance-based skilled coping. It thus argues for a continuity that runs between basic action, affectivity, and a rationality that in every case remains embodied. It also discusses recent predictive models of brain function and outlines an alternative, enactivist interpretation that emphasizes the close coupling of brain, body, and environment rather than a strong boundary that isolates the brain in its internal processes. The extensive relational dynamics that integrates the brain with the extra-neural body opens into an environment that is physical, social, and cultural and that recycles back into the enactive process. Cognitive processes are in the world, situated in affordance spaces defined across evolutionary, developmental, and individual histories, and are constrained by affective processes and normative dimensions of social and cultural practices.

APA, Harvard, Vancouver, ISO, and other styles

We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!