03526nam a22004815i 4500001001800000003000900018005001700027007001500044008004100059020003700100024003500137050001400172072001700186072002300203072001600226100008200242245014000324250001800464264007500482300006600557336002600623337002600649338003600675347002400711505082600735520096901561650002602530650003502556650002402591650002502615650003502640650002402675700008602699710003402785773002602819776003602845776003602881776003602917856004602953912001402999912001403013999001703027978-3-031-54537-5DE-He21320251030111800.0cr nn 008mamaa240401s2024    sz |    s    |||| 0|eng d  a97830315453759978-3-031-54537-57 a10.1007/978-3-031-54537-52doi 4aRC321-580 7aPSAN2bicssc 7aSCI0890002bisacsh 7aPSAN2thema1 aTraub, Roger.eauthor.4aut4http://id.loc.gov/vocabulary/relators/aut97456510aBrain Leitmotifsh[electronic resource] :bThe Structure and Activity Patterns of Neuronal Networks /cby Roger Traub, Andreas Draguhn.  a1st ed. 2024. 1aCham :bSpringer International Publishing :bImprint: Springer,c2024.  aXVI, 272 p. 128 illus., 84 illus. in color.bonline resource.  atextbtxt2rdacontent  acomputerbc2rdamedia  aonline resourcebcr2rdacarrier  atext filebPDF2rda0 aPreface -- Introduction: how should one think about nervous systems? -- Basic properties of biological neurons and synapses -- Memory and classification in the brain and artificial systems -- Working memory -- Central Pattern Generators -- Reinforcement learning and a possible application (birdsong) -- Complexities of cortex and the need for detailed models -- Gap junctions and very fast oscillations -- Synchronization through excitatory synapses: epilepsy but also conscious perception -- Oscillation synchronization, synaptic plasticity and cell assemblies -- Cortical delta rhythm, spike-wave epilepsy, and cognition -- Cortical up-states -- Sharp-wave/ripples – a special up-state? -- Some application to disease: epilepsy, gap junctions and plateau potentials -- Conclusions -- References -- Glossary -- Index.  aThis book tackles the question of why the brain is so difficult to fully understand. In neuroscience, data are acquired and analyzed with astonishing techniques and accumulate rapidly. Nevertheless, try to explain how a person can think or why there is such a condition as schizophrenia, and it appears that we really know little. To approach these difficulties, the authors first present a number of case studies in which the operation of a neural circuit is worked out in some detail and, at the same time, the functional significance of the operation is also understood. These examples are complicated in their biologic specifics but are conceptually straightforward. The examples are hoped to provoke an appreciation for what neuroscience can accomplish. The authors then develop some thoughts on how these issues can be addressed----instead of considering cognition in general, taking instead a subset of cognition that does lend itself to formal description. 0aNeurosciences.968384 0aCognitive neuroscience.974566 0aPhilosophy of mind.14aNeuroscience.96838624aCognitive Neuroscience.97456724aPhilosophy of Mind.1 aDraguhn, Andreas.eauthor.4aut4http://id.loc.gov/vocabulary/relators/aut9745682 aSpringerLink (Online service)0 tSpringer Nature eBook08iPrinted edition:z978303154536808iPrinted edition:z978303154538208iPrinted edition:z978303154539940uhttps://doi.org/10.1007/978-3-031-54537-5  aZDB-2-SBL  aZDB-2-SXB  c58879d58879