Books on the topic 'Neural fields'
Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles
Consult the top 50 books for your research on the topic 'Neural fields.'
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.
Coombes, Stephen, Peter beim Graben, Roland Potthast, and James Wright, eds. Neural Fields. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-54593-1.
Full text1919-, Pribram Karl H., and Eccles, John C. Sir, 1903-, eds. Rethinking neural networks: Quantum fields and biological data. Hillsdale, N.J: Erlbaum, 1993.
Find full textB, Pinter Robert, and Nabet Bahram, eds. Nonlinear vision: Determination of neural receptive fields, function, and networks. Boca Raton: CRC Press, 1992.
Find full textKozma, Robert, and Walter J. Freeman. Cognitive Phase Transitions in the Cerebral Cortex - Enhancing the Neuron Doctrine by Modeling Neural Fields. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-24406-8.
Full textHorowitz, John. The effects of hypergravic fields on neural signalling in the hippocampus. [Washington, DC: National Aeronautics and Space Administration, 1991.
Find full textBooth, John Nicholas. The application of weak complex magnetic fields on the neural correlates of consciousness. Sudbury, Ont: Laurentian University, School of Graduate Studies, 2006.
Find full text1919-, Pribram Karl H., and Eccles, John C. Sir, 1903-, eds. Rethinking neural networks: Quantum fields and biological data : proceedings of the First Appalachian Conference on Behavioral Neurodynamics. Hillsdale, N.J: Erlbaum, 1993.
Find full textCenter, Ames Research, ed. Cascading a systolic array and a feedforward neural network for navigation and obstacle avoidance using potential fields. Moffett Field, Calif: National Aeronautics and Space Administration, Ames Research Center, 1991.
Find full textR, Dougherty Edward, and Society of Photo-optical Instrumentation Engineers., eds. Neural, morphological, and stochastic methods in image and signal processing: 10-11 July, 1995, San Diego, California. Bellingham, Wash., USA: SPIE, 1995.
Find full textHelias, Moritz, and David Dahmen. Statistical Field Theory for Neural Networks. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-46444-8.
Full text1965-, Kolen John F., and Kremer Stefan C. 1968-, eds. A field guide to dynamical recurrent networks. New York: IEEE Press, 2001.
Find full textGiese, Martin A. Dynamic Neural Field Theory for Motion Perception. Boston, MA: Springer US, 1999. http://dx.doi.org/10.1007/978-1-4615-5581-0.
Full textGiese, Martin A. Dynamic neural field theory for motion perception. Boston: Kluwer Academic Publishers, 1999.
Find full textGiese, Martin A. Dynamic Neural Field Theory for Motion Perception. Boston, MA: Springer US, 1999.
Find full textMacLennan, Bruce J. Field computation and nonpropositional knowledge. Monterey, California: Naval Postgraduate School, 1987.
Find full text1994, Altherr Tanguy d., Aurenche P, Veneziano G, and Sorba P, eds. From thermal field theory to neural networks: A day to remember Tanguy Altherr, Cern, 4 November 1994. Singapore: World Scientific, 1996.
Find full textHeida, Tjitske. Electric Field-Induced Effects on Neuronal Cell Biology Accompanying Dielectrophoretic Trapping. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-642-55469-8.
Full textPotthast, Roland, P. Beim Graben, Wright James, and Stephen Coombes. Neural Fields: Theory and Applications. Springer Berlin / Heidelberg, 2016.
Find full textPotthast, Roland, Wright James, Stephen Coombes, and Peter beim Graben. Neural Fields: Theory and Applications. Springer London, Limited, 2014.
Find full textNeural Fields: Theory and Applications. Springer, 2014.
Find full textBressloff, Paul C. Waves in Neural Media: From Single Neurons to Neural Fields. Springer London, Limited, 2013.
Find full textBressloff, Paul C. Waves in Neural Media: From Single Neurons to Neural Fields. Springer, 2013.
Find full textWaves In Neural Media From Single Neurons To Neural Fields. Springer-Verlag New York Inc., 2013.
Find full textPribram, Karl H. Rethinking Neural Networks: Quantum Fields and Biological Data. Taylor & Francis Group, 2016.
Find full textPribram, Karl H. Rethinking Neural Networks: Quantum Fields and Biological Data. Taylor & Francis Group, 2014.
Find full textPribram, Karl H. Rethinking Neural Networks: Quantum Fields and Biological Data. Taylor & Francis Group, 2014.
Find full textPribram, Karl H. Rethinking Neural Networks: Quantum Fields and Biological Data. Taylor & Francis Group, 2014.
Find full textPribram, Karl H. Rethinking Neural Networks: Quantum Fields and Biological Data. Taylor & Francis Group, 2014.
Find full textPribram, Karl H. Rethinking Neural Networks: Quantum Fields and Biological Data. Lawrence Erlbaum, 1993.
Find full textEl-Hayek, Youssef. Regulation of neural migration by direct-current electric fields. 2006.
Find full textKozma, Robert, and Walter J. Freeman. Cognitive Phase Transitions in the Cerebral Cortex - Enhancing the Neuron Doctrine by Modeling Neural Fields. Springer London, Limited, 2015.
Find full textKozma, Robert, and Walter J. Freeman. Cognitive Phase Transitions in the Cerebral Cortex - Enhancing the Neuron Doctrine by Modeling Neural Fields. Springer, 2015.
Find full textKozma, Robert, and Walter J. Freeman. Cognitive Phase Transitions in the Cerebral Cortex - Enhancing the Neuron Doctrine by Modeling Neural Fields. Springer International Publishing AG, 2016.
Find full textPinter, Robert B. Nonlinear Vision: Determination of Neural Receptive Fields, Function, and Networks. Taylor & Francis Group, 2018.
Find full textPinter, Robert B. Nonlinear Vision: Determination of Neural Receptive Fields, Function, and Networks. Edited by Robert B. Pinter and Bahram Nabet. CRC Press, 2018. http://dx.doi.org/10.1201/9781351075060.
Full textNonlinear Vision: Determination of Neural Receptive Fields Function and Networks. Taylor & Francis Group, 2017.
Find full textPinter, Robert B. Nonlinear Vision: Determination of Neural Receptive Fields, Function, and Networks. Taylor & Francis Group, 2018.
Find full textPinotsis, Dimitris, Peter Robinson, Peter beim Graben, and Karl Friston, eds. Neural Masses and Fields: Modelling the Dynamics of Brain Activity. Frontiers Media SA, 2015. http://dx.doi.org/10.3389/978-2-88919-427-8.
Full textPinter, Robert B. Nonlinear Vision: Determination of Neural Receptive Fields, Function, and Networks. Crc Pr I Llc, 1992.
Find full textPinter, Robert B. Nonlinear Vision: Determination of Neural Receptive Fields, Function, and Networks. Taylor & Francis Group, 2018.
Find full textNational Aeronautics and Space Administration (NASA) Staff. Effects of Hypergravic Fields on Neural Signalling in the Hippocampus. Independently Published, 2018.
Find full textPinter, Robert B. Nonlinear Vision: Determination of Neural Receptive Fields, Function, and Networks. Taylor & Francis Group, 2018.
Find full textSharpe, Christina Elizabeth. Martine Syms : Neural Swamp: The Future Fields Commission in Time-Based Media. Yale University Press, 2022.
Find full textRaff, Lionel, Ranga Komanduri, Martin Hagan, and Satish Bukkapatnam. Neural Networks in Chemical Reaction Dynamics. Oxford University Press, 2012. http://dx.doi.org/10.1093/oso/9780199765652.001.0001.
Full textEffect of 60 Hz electric and magnetic fields on neural and skeletal cells in culture: Contractor's final report. Albany, N.Y: New York State Power Lines Project, 1987.
Find full textNational Aeronautics and Space Administration (NASA) Staff. Cascading a Systolic Array and a Feedforward Neural Network for Navigation and Obstacle Avoidance Using Potential Fields. Independently Published, 2018.
Find full textSangeetha, V., and S. Kevin Andrews. Introduction to Artificial Intelligence and Neural Networks. Magestic Technology Solutions (P) Ltd, Chennai, Tamil Nadu, India, 2023. http://dx.doi.org/10.47716/mts/978-93-92090-24-0.
Full textBrain dynamics: Progress and perspectives. Berlin: Springer-Verlag, 1989.
Find full textBasar, Erol. Brain Dynamics: Progress and Perspectives : Based on a Conference in West Berlin in August 1987 (Springer Studies in Brain Dynamics, Vol 2). Springer-Verlag, 1989.
Find full textMelnechuk, Theodore, and Erol Baºar. Dynamics of Sensory and Cognitive Processing by the Brain: Integrative Aspects of Neural Networks, Electroencephalography, Event-Related Potentials, Contingent Negative Variation, Magnetoencephalography, and Clinical Applications. Springer London, Limited, 2011.
Find full text