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How neurons process their inputs crucially determines the dynamics of biological and artificial neural networks.
On cumulative sums of random variables
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Time-dependent statistics of the Ising model
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Neural networks and physical systems with emergent collective computational abilities
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Cellular mechanism of neuronal synchronization in epilepsy
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Neurons with graded response have collective computational properties like those of two-state neurons
Hopfield, J. J. (1984) · 1984
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The enhanced storage capacity in neural networks with low activity level
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Stochastic analyses of the dynamics of generalized Little-Hopfield-Hemmen type neural networks
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Corticonics: Neural circuits of the cerebral cortex
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Introduction to the theory of neural computation
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Storage capacity and learning algorithms for two-layer neural networks
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Noise enhancement of information transfer in crayfish mechanoreceptors by stochastic resonance
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Associative memory with nonmonotone dynamics
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Inhibitory control of excitable dendrites in neocortex
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Retrieval phase diagrams of non-monotonic Hopfield networks
Inoue, J. (1996) · 1996
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Synaptic transmission: noisy synapses and noisy neurons
Smetters, D. and Zador, A. (1996) · 1996
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Storage capacity of the fully-connected committee machine
Urbanczik, R. (1997) · 1997
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Morphological variation of layer III pyramidal neurones in the occipitotemporal pathway of the macaque monkey visual cortex
Elston, G. N. and Rosa, M. G. (1998) · 1998
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Noise-supported travelling waves in sub-excitable media
Kadar, S., Wang, J., and Showalter, K. (1998) · 1998
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A role for NMDA-receptor channels in working memory
Lisman, J. E., Fellous, J. M., and Wang, X. J. (1998) · 1998
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Storage capacity of non-monotonic neurons
Crespi, B. (1999) · 1999
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Total number and ratio of excitatory and inhibitory synapses converging onto single interneurons of different types in the CA1 area of the rat hippocampus
Gulyás, A. I., Megias, M., Emri, Z., and Freund, T. F. (1999) · 1999
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Statistical physics of learning: Phase transitions in multilayered neural networks
Memory capacity of balanced networks
Aviel, Y., Horn, D., and Abeles, M. (2005) · 2005
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Dendritic computation
London, M. and Häusser, M. (2005) · 2005
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Coincidence detection of place and temporal context in a network model of spiking hippocampal neurons
Katz, Y., Kath, W. L., Spruston, N., and Hasselmo, M. E. (2007) · 2007
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Selectivity and stability via dendritic nonlinearity
Morita, K., Okada, M., and Aihara, K. (2007) · 2007
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Properties of basal dendrites of layer 5 pyramidal neurons: A direct patch-clamp recording study
Nevian, T., Larkum, M., Polsky, A., and Schiller, J. (2007) · 2007
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Dendrites
Stuart, G., Spruston, N., and Häusser, M. (2007) · 2007
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Biehl, M., Ahr, M., and Schlösser, E. (2000) · 2000
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The role of single neurons in information processing
Koch, C. and Segev, I. (2000) · 2000
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NMDA spikes in basal dendrites of cortical pyramidal neurons
Schiller, J., Major, G., Koester, H. J., and Schiller, Y. (2000) · 2000
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Impact of active dendrites and structural plasticity on the memory capacity of neural tissue
Poirazi, P. and Mel, B. W. (2001) · 2001
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Nonlinear measures: a new approach to exponential stability analysis for hopfield-type neural networks
Qiao, H., Peng, J., and Xu, Z. B. (2001) · 2001
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NMDA receptor-mediated dendritic spikes and coincident signal amplification
Schiller, J. and Schiller, Y. (2001) · 2001
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Associative memory in networks of spiking neurons
Sommer, F. T. and Wennekers, T. (2001) · 2001
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Synaptic clustering by dendritic signalling mechanisms
Larkum, M. E. and Nevian, T. (2008) · 2008
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Compartmentalized dendritic plasticity and input feature storage in neurons
Losonczy, A., Makara, J. K., and Magee, J. C. (2008) · 2008
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Possible role of dendritic compartmentalization in the spatial working memory circuit
Morita, K. (2008) · 2008
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Parallel computational subunits in dentate granule cells generate multiple place fields
Ujfalussy, B., Kiss, T., and Érdi, P. (2009) · 2009
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Support for a synaptic chain model of neuronal sequence generation
Long, M. A., Jin, D. Z., and Fee, M. S. (2010) · 2010
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Quantitative prediction of intermittent high-frequency oscillations in neural networks with supralinear dendritic interactions
Memmesheimer, R. M. (2010) · 2010
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Branch-specific plasticity enables self-organization of nonlinear computation in single neurons
Legenstein, R. and Maass, W. (2011) · 2011
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Statistical physics approach to dendritic computation: The excitable-wave mean-field approximation
Gollo, L. L., Kinouchi, O., and Copelli, M. (2012) · 2012
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Calcium-based plasticity model explains sensitivity of synaptic changes to spike pattern, rate, and dendritic location
Graupner, M. and Brunel, N. (2012) · 2012
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Guiding synchrony through random networks
Jahnke, S., Timme, M., and Memmesheimer, R. M. (2012) · 2012
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Non-additive coupling enables propagation of synchronous spiking activity in purely random networks
Memmesheimer, R. M. and Timme, M. (2012) · 2012
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Gradient estimation in dendritic reinforcement learning
Schiess, M., Urbanczik, R., and Senn, W. (2012) · 2012
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Nonlinear multiplicative dendritic integration in neuron and network models
Zhang, D., Li, Y., Rasch, M. J., and Wu, S. (2013) · 2013
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Recoding patterns of sensory input: Higher-order features and the function of nonlinear dendritic trees
Rhodes, P. A. (2008) · 2036
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