These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
178 related articles for article (PubMed ID: 8855351)
1. Synaptic organizations and dynamical properties of weakly connected neural oscillators. II. Learning phase information. Hoppensteadt FC; Izhikevich EM Biol Cybern; 1996 Aug; 75(2):129-35. PubMed ID: 8855351 [TBL] [Abstract][Full Text] [Related]
2. Synaptic organizations and dynamical properties of weakly connected neural oscillators. I. Analysis of a canonical model. Hoppensteadt FC; Izhikevich EM Biol Cybern; 1996 Aug; 75(2):117-27. PubMed ID: 8855350 [TBL] [Abstract][Full Text] [Related]
3. Robust Associative Learning Is Sufficient to Explain the Structural and Dynamical Properties of Local Cortical Circuits. Zhang D; Zhang C; Stepanyants A J Neurosci; 2019 Aug; 39(35):6888-6904. PubMed ID: 31270161 [TBL] [Abstract][Full Text] [Related]
4. Fast Learning with Weak Synaptic Plasticity. Yger P; Stimberg M; Brette R J Neurosci; 2015 Sep; 35(39):13351-62. PubMed ID: 26424883 [TBL] [Abstract][Full Text] [Related]
5. Synaptic dynamics: linear model and adaptation algorithm. Yousefi A; Dibazar AA; Berger TW Neural Netw; 2014 Aug; 56():49-68. PubMed ID: 24867390 [TBL] [Abstract][Full Text] [Related]
6. Dichotomous Dynamics in E-I Networks with Strongly and Weakly Intra-connected Inhibitory Neurons. Rich S; Zochowski M; Booth V Front Neural Circuits; 2017; 11():104. PubMed ID: 29326558 [TBL] [Abstract][Full Text] [Related]
9. Coordination of rhythmic motor activity by gradients of synaptic strength in a neural circuit that couples modular neural oscillators. Smarandache C; Hall WM; Mulloney B J Neurosci; 2009 Jul; 29(29):9351-60. PubMed ID: 19625525 [TBL] [Abstract][Full Text] [Related]
10. Distributed synaptic modification in neural networks induced by patterned stimulation. Bi G; Poo M Nature; 1999 Oct; 401(6755):792-6. PubMed ID: 10548104 [TBL] [Abstract][Full Text] [Related]
11. A New Computational Model for Astrocytes and Their Role in Biologically Realistic Neural Networks. Sajedinia Z; Hélie S Comput Intell Neurosci; 2018; 2018():3689487. PubMed ID: 30073021 [TBL] [Abstract][Full Text] [Related]
12. Synaptic plasticity and memory: an evaluation of the hypothesis. Martin SJ; Grimwood PD; Morris RG Annu Rev Neurosci; 2000; 23():649-711. PubMed ID: 10845078 [TBL] [Abstract][Full Text] [Related]
13. Intrinsic volatility of synaptic connections - a challenge to the synaptic trace theory of memory. Mongillo G; Rumpel S; Loewenstein Y Curr Opin Neurobiol; 2017 Oct; 46():7-13. PubMed ID: 28710971 [TBL] [Abstract][Full Text] [Related]
14. Synchronization and long-time memory in neural networks with inhibitory hubs and synaptic plasticity. Bertolotti E; Burioni R; di Volo M; Vezzani A Phys Rev E; 2017 Jan; 95(1-1):012308. PubMed ID: 28208338 [TBL] [Abstract][Full Text] [Related]
15. Neuron as a reward-modulated combinatorial switch and a model of learning behavior. Rvachev MM Neural Netw; 2013 Oct; 46():62-74. PubMed ID: 23708671 [TBL] [Abstract][Full Text] [Related]
16. "The seven sins" of the Hebbian synapse: can the hypothesis of synaptic plasticity explain long-term memory consolidation? Arshavsky YI Prog Neurobiol; 2006 Oct; 80(3):99-113. PubMed ID: 17074430 [TBL] [Abstract][Full Text] [Related]
17. Rhythmic Oscillations of Excitatory Bursting Hodkin-Huxley Neuronal Network with Synaptic Learning. Shi Q; Han F; Wang Z; Li C Comput Intell Neurosci; 2016; 2016():6023547. PubMed ID: 27073393 [TBL] [Abstract][Full Text] [Related]
18. Learning real-world stimuli in a neural network with spike-driven synaptic dynamics. Brader JM; Senn W; Fusi S Neural Comput; 2007 Nov; 19(11):2881-912. PubMed ID: 17883345 [TBL] [Abstract][Full Text] [Related]
19. The activity phase of postsynaptic neurons in a simplified rhythmic network. Bose A; Manor Y; Nadim F J Comput Neurosci; 2004; 17(2):245-61. PubMed ID: 15306742 [TBL] [Abstract][Full Text] [Related]