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020 _a9783031757051
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024 7 _a10.1007/978-3-031-75705-1
_2doi
050 4 _aRC321-580
050 4 _aQH324.2-.25
072 7 _aPSAN
_2bicssc
072 7 _aSCI089000
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072 7 _aPSAN
_2thema
100 1 _aMallot, Hanspeter A.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_989954
245 1 0 _aComputational Neuroscience
_h[electronic resource] :
_bAn Essential Guide to Membrane Potentials, Receptive Fields, and Neural Networks /
_cby Hanspeter A. Mallot.
250 _a2nd ed. 2024.
264 1 _aCham :
_bSpringer Nature Switzerland :
_bImprint: Springer,
_c2024.
300 _aXIII, 280 p. 109 illus., 74 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aChapter 1. Excitable Membranes and Neural Conduction -- Chapter 2. Receptive Fields and the Specificity of Neuronal Firing -- Chapter 3. Functional Models of Receptive Fields -- Chapter 4. Fourier Analysis for Neuroscientists -- Chapter 5. Artificial Neural Networks and Classification -- Chapter 6. Artificial Neural Networks With Interacting Output Units -- Chapter 7. Coding and Representation.
520 _aThis book provides an essential introduction to modeling the nervous system at various levels. Readers will learn about the intricate mechanisms of neural activity, receptive fields, neural networks, and information coding. The chapters cover topics such as membrane potentials, the Hodgkin-Huxley theory, receptive fields and their specificity for important stimulus dimensions, Fourier analysis for neuroscientists, pattern recognition and self-organization in neural networks, and the structure of neural representations. The second edition includes revised text and figures for improved readability and completeness. Key points are highlighted throughout to help readers keep track of central ideas. Researchers in the field of neuroscience with backgrounds in biology, psychology, or medicine will find this book particularly beneficial. It is also an invaluable reference for all neuroscientists who use computational methods in their daily work. Whether you are a theoretical scientist approaching the field or an experienced practitioner seeking to deepen your understanding, "Computational Neuroscience - An Essential Guide to Membrane Potentials, Receptive Fields, and Neural Networks" offers a comprehensive guide to mastering the fundamentals of this dynamic discipline. .
650 0 _aComputational neuroscience.
650 0 _aComputational intelligence.
_964052
650 0 _aNeurosciences.
_968384
650 0 _aNeural networks (Neurobiology).
_979376
650 0 _aNeural circuitry.
_986181
650 1 4 _aComputational Neuroscience.
650 2 4 _aComputational Intelligence.
_964052
650 2 4 _aNeuroscience.
_968386
650 2 4 _aSystems Neuroscience.
_979377
650 2 4 _aNeural Circuits.
_986182
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031757044
776 0 8 _iPrinted edition:
_z9783031757068
776 0 8 _iPrinted edition:
_z9783031757075
856 4 0 _uhttps://doi.org/10.1007/978-3-031-75705-1
912 _aZDB-2-SBL
912 _aZDB-2-SXB
999 _c66231
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