000 | 04559nam a22005295i 4500 | ||
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001 | 978-3-540-46808-0 | ||
003 | DE-He213 | ||
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007 | cr nn 008mamaa | ||
008 | 121227s1990 gw | s |||| 0|eng d | ||
020 |
_a9783540468080 _9978-3-540-46808-0 |
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024 | 7 |
_a10.1007/3-540-53267-6 _2doi |
|
050 | 4 | _aQC310.15-319 | |
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_aPHH _2bicssc |
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_aSCI065000 _2bisacsh |
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_aPHH _2thema |
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_a536.7 _223 |
245 | 1 | 0 |
_aStatistical Mechanics of Neural Networks _h[electronic resource] : _bProceedings of the Xlth Sitges Conference Sitges, Barcelona, Spain, 3–7 June 1990 / _cedited by Luis Garrido. |
264 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg, _c1990. |
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300 |
_aVI, 477 p. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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_atext file _bPDF _2rda |
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490 | 1 |
_aLecture Notes in Physics, _x0075-8450 ; _v368 |
|
505 | 0 | _aOn the statistical-mechanical formulation of neural networks -- Model neurons: From Hodgkin-Huxley to hopfield -- Statistical mechanics for networks of analog neurons -- Properties of neural networks with multi-state neurons -- Adaptive recurrent neural networks and dynamic stability -- Neuronal oscillators: Experiments and models -- Neuronal networks in the hippocampus involved in memory -- Basins of attraction and spurious states in neural networks -- Tailoring the performance of attractor neural networks -- Learning and optimization -- Statistical dynamics of learning -- Learning and retrieving marked patterns -- Learning algorithm for binary synapses -- Statistical mechanics of the perceptron with maximal stability -- Simulation and hardware implementation of competitive learning neural networks -- Learning in multilayer networks: A geometric computational approach -- Storage capacity of diluted neural networks -- Dynamics and storage capacity of neural networks with sign-constrained weights -- The neural basis of the locomotion of nematodes -- Reversibility in neural processing systems -- Lyapunov functional for neural networks with delayed interactions and statistical mechanics of temporal associations -- Semi-local signal processing in the visual system -- Statistical mechanics and error-correcting codes -- Synergetic computers — An alternative to neurocomputers -- Dynamics of the Kohonen map -- Equivalence between connectionist classifiers and logical classifiers -- On Potts-glass neural networks with biased patterns -- Ising-spin neural networks with spatial structure -- Kinetically disordered lattice systems -- A programming system for implementing neural nets -- An auto-augmenting neural network architecture for diagnostic reasoning -- Formal integrators and neural networks -- Disordered models of acquired dyslexia -- Higher order memories in optimally structured neural networks -- Random Boolean networks for autoassociative memory: Optimization and sequential learning. | |
520 | _aCombined for researchers and graduate students the articles from the Sitges Summer School together form an excellent survey of the applications of neural-network theory to statistical mechanics and computer-science biophysics. Various mathematical models are presented together with their interpretation, especially those to do with collective behaviour, learning and storage capacity, and dynamical stability. | ||
650 | 0 | _aThermodynamics. | |
650 | 0 | _aArtificial intelligence. | |
650 | 0 | _aStatistical physics. | |
650 | 1 | 4 |
_aThermodynamics. _0http://scigraph.springernature.com/things/product-market-codes/P21050 |
650 | 2 | 4 |
_aComplex Systems. _0http://scigraph.springernature.com/things/product-market-codes/P33000 |
650 | 2 | 4 |
_aArtificial Intelligence. _0http://scigraph.springernature.com/things/product-market-codes/I21000 |
650 | 2 | 4 |
_aStatistical Physics and Dynamical Systems. _0http://scigraph.springernature.com/things/product-market-codes/P19090 |
700 | 1 |
_aGarrido, Luis. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer eBooks | |
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_iPrinted edition: _z9783662137857 |
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_iPrinted edition: _z9783662137840 |
776 | 0 | 8 |
_iPrinted edition: _z9783540532675 |
830 | 0 |
_aLecture Notes in Physics, _x0075-8450 ; _v368 |
|
856 | 4 | 0 | _uhttps://doi.org/10.1007/3-540-53267-6 |
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