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010   $a9783031757051
010   $a303175705X
024 7 $a10.1007/978-3-031-75705-1
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035   $a(Au-PeEL)EBL31868043
035   $a(DE-He213)978-3-031-75705-1
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100   $a20241231d2024      u|         0
101 0 $aeng
135   $aur|||||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aComputational Neuroscience $eAn Essential Guide to Membrane Potentials, Receptive Fields, and Neural Networks /$fby Hanspeter A. Mallot
205   $a2nd ed. 2024.
210  1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2024.
215   $a1 online resource (289 pages)
311 08$a9783031757044 
311 08$a3031757041 
327   $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.
330   $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. .
606   $aComputational neuroscience
606   $aComputational intelligence
606   $aNeurosciences
606   $aNeural networks (Neurobiology)
606   $aNeural circuitry
606   $aComputational Neuroscience
606   $aComputational Intelligence
606   $aNeuroscience
606   $aSystems Neuroscience
606   $aNeural Circuits
615  0$aComputational neuroscience.
615  0$aComputational intelligence.
615  0$aNeurosciences.
615  0$aNeural networks (Neurobiology).
615  0$aNeural circuitry.
615 14$aComputational Neuroscience.
615 24$aComputational Intelligence.
615 24$aNeuroscience.
615 24$aSystems Neuroscience.
615 24$aNeural Circuits.
676   $a612.8
676   $a570.285
700   $aMallot$b Hanspeter A$01371373
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910920446403321
996   $aComputational Neuroscience$93400390
997   $aUNINA