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.
4. Classification of correlated patterns with a configurable analog VLSI neural network of spiking neurons and self-regulating plastic synapses. Giulioni M; Pannunzi M; Badoni D; Dante V; Del Giudice P Neural Comput; 2009 Nov; 21(11):3106-29. PubMed ID: 19686067 [TBL] [Abstract][Full Text] [Related]
5. Modelling memory functions with recurrent neural networks consisting of input compensation units: I. Static situations. Kühn S; Beyn WJ; Cruse H Biol Cybern; 2007 May; 96(5):455-70. PubMed ID: 17211628 [TBL] [Abstract][Full Text] [Related]
6. A neural circuit model of emotional learning using two pathways with different granularity and speed of information processing. Murakoshi K; Saito M Biosystems; 2009 Feb; 95(2):150-4. PubMed ID: 18977406 [TBL] [Abstract][Full Text] [Related]
7. Excitability changes that complement Hebbian learning. Janowitz MK; van Rossum MC Network; 2006 Mar; 17(1):31-41. PubMed ID: 16613793 [TBL] [Abstract][Full Text] [Related]
8. Recurrence methods in the analysis of learning processes. Mendelson S; Nelken I Neural Comput; 2001 Aug; 13(8):1839-61. PubMed ID: 11506673 [TBL] [Abstract][Full Text] [Related]
10. A learning rule for very simple universal approximators consisting of a single layer of perceptrons. Auer P; Burgsteiner H; Maass W Neural Netw; 2008 Jun; 21(5):786-95. PubMed ID: 18249524 [TBL] [Abstract][Full Text] [Related]
11. A spiking neural network model of an actor-critic learning agent. Potjans W; Morrison A; Diesmann M Neural Comput; 2009 Feb; 21(2):301-39. PubMed ID: 19196231 [TBL] [Abstract][Full Text] [Related]
12. Building bridges between neural models and complex decision making behaviour. Busemeyer JR; Jessup RK; Johnson JG; Townsend JT Neural Netw; 2006 Oct; 19(8):1047-58. PubMed ID: 16979319 [TBL] [Abstract][Full Text] [Related]
13. [Memory model based on the plasticity of inhibiting neurons]. Frolov AA; Shul'gin GI Biofizika; 1983; 28(3):475-80. PubMed ID: 6871269 [TBL] [Abstract][Full Text] [Related]
14. Hebbian learning in a model with dynamic rate-coded neurons: an alternative to the generative model approach for learning receptive fields from natural scenes. Hamker FH; Wiltschut J Network; 2007 Sep; 18(3):249-66. PubMed ID: 17926194 [TBL] [Abstract][Full Text] [Related]
15. The process of learning in neural net models with Poisson and Gauss connectivities. Sivridis L; Kotini A; Anninos P Neural Netw; 2008 Jan; 21(1):28-35. PubMed ID: 18023327 [TBL] [Abstract][Full Text] [Related]
16. Information and topology in attractor neural networks. Dominguez D; Koroutchev K; Serrano E; Rodríguez FB Neural Comput; 2007 Apr; 19(4):956-73. PubMed ID: 17348769 [TBL] [Abstract][Full Text] [Related]
17. Reinforcement learning, spike-time-dependent plasticity, and the BCM rule. Baras D; Meir R Neural Comput; 2007 Aug; 19(8):2245-79. PubMed ID: 17571943 [TBL] [Abstract][Full Text] [Related]
18. Computational properties of networks of synchronous groups of spiking neurons. Dayhoff JE Neural Comput; 2007 Sep; 19(9):2433-67. PubMed ID: 17650065 [TBL] [Abstract][Full Text] [Related]
19. Sparsification from dilute connectivity in a neural network model of memory. Maravall M Network; 1999 Feb; 10(1):15-39. PubMed ID: 10372760 [TBL] [Abstract][Full Text] [Related]
20. Apoptosis, neurogenesis, and information content in Hebbian networks. Crick C; Miranker W Biol Cybern; 2006 Jan; 94(1):9-19. PubMed ID: 16372165 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]