Ali A. Minai

	2012
33		Ali A. Minai: 2011 International Joint Conference on Neural Networks (IJCNN 2011) [Conference Reports]. IEEE Comp. Int. Mag. 7(1): 13-15 (2012)
	2011
32		Kiran V. Byadarhaly, Mithun Perdoor, Ali A. Minai: Synergistic organization of action: A computational model. IJCNN 2011: 2961-2968
31		Laxmi R. Iyer, Ali A. Minai: A neurodynamical model of context-dependent category learning. IJCNN 2011: 2975-2982
30		Nagendra Marupaka, Ali A. Minai: Connectivity and creativity in semantic neural networks. IJCNN 2011: 3127-3133
	2010
29		Amer G. Ghanem, Ali A. Minai, James G. Uber: A multi-agent model for the co-evolution of ideas and communities. IEEE Congress on Evolutionary Computation 2010: 1-8
28		Ali A. Minai, Mithun Perdoor, Kiran V. Byadarhaly, Suresh Vasa, Laxmi R. Iyer: A synergistic view of autonomous cognitive systems. IJCNN 2010: 1-8
27		Laxmi R. Iyer, Vaidehi Venkatesan, Ali A. Minai: Neurocognitive spotlights: Configuring domains for ideation. IJCNN 2010: 1-8
	2009
26		Kiran V. Byadarhaly, Mithun Perdoor, Suresh Vasa, Emmanuel Fernandez, Ali A. Minai: Learning Complex Population-Coded Sequences. ICANN (1) 2009: 296-305
25		Laxmi R. Iyer, Ali A. Minai, Vincent R. Brown, Paul B. Paulus, Simona Doboli: Effects of relevant and irrelevant primes on idea generation: A computational model. IJCNN 2009: 1380-1387
24		Ali A. Minai, Laxmi R. Iyer, Divyachapan Padur, Simona Doboli: A dynamical connectionist model of idea generation. IJCNN 2009: 2109-2116
23		Subramoniam Perumal, Ali A. Minai: Stable-yet-switchable (SyS) attractor networks. IJCNN 2009: 2509-2516
22		Simona Doboli, Vincent R. Brown, Ali A. Minai: A conceptual neural model of idea generation. IJCNN 2009: 723-729
21		Laxmi R. Iyer, Simona Doboli, Ali A. Minai, Vincent R. Brown, Daniel S. Levine, Paul B. Paulus: Neural dynamics of idea generation and the effects of priming. Neural Networks 22(5-6): 674-686 (2009)
	2007
20		Payal Shah, Hemant Ramaswami, Ali A. Minai: Self-Organized Hebbian Inference of Environment Topology by Distributed Sensor Networks. IJCNN 2007: 2177-2182
19		Simona Doboli, Ali A. Minai, Vincent R. Brown: Adaptive Dynamic Modularity in a Connectionist Model of Context-Dependent Idea Generation. IJCNN 2007: 2183-2188
18		Simona Doboli, Ali A. Minai: Latent Attractors: A General Paradigm for Context-Dependent Neural Computation. Trends in Neural Computation 2007: 135-169
	2004
17		Xiaofu Zhang, Ali A. Minai: Temporally sequenced intelligent block-matching and motion-segmentation using locally coupled networks. IEEE Transactions on Neural Networks 15(5): 1202-1214 (2004)
	2003
16		Simona Doboli, Ali A. Minai, Phillip J. Best: A computational model of the interaction between external and internal cues for the control of hippocampal place cells. Neurocomputing 52-54: 371-379 (2003)
	2001
15		Simona Doboli, Ali A. Minai, Phillip J. Best, Aaron M. White: An attractor model for hippocampal place cell hysteresis. Neurocomputing 38-40: 1185-1191 (2001)
14		Jason W. Bohland, Ali A. Minai: Efficient associative memory using small-world architecture. Neurocomputing 38-40: 489-496 (2001)
	2000
13		Simona Doboli, Ali A. Minai: Network Capacity for Latent Attractor Computation. IJCNN (1) 2000: 222-227
12		Jason W. Bohland, Ali A. Minai: Small-World Model of Associative Memory. IJCNN (5) 2000: 597-604
11		Simona Doboli, Ali A. Minai, Phillip J. Best: Latent Attractors: A Model for Context-Dependent Place Representations in the Hippocampus. Neural Computation 12(5): 1009-1043 (2000)
10		Simona Doboli, Ali A. Minai, Phillip J. Best: A comparison of context-dependent hippocampal place codes in 1-layer and 2-layer recurrent networks. Neurocomputing 32-33: 353-358 (2000)
	1999
9		Simona Doboli, Ali A. Minai, Phillip J. Best: A latent attractors model of context selection in the dentate gyrus-hilus system. Neurocomputing 26-27: 671-676 (1999)
	1998
8		Ali A. Minai, Tirunelveli Anand: Stimulus-induced bifurcations in discrete-time neural oscillators. Biological Cybernetics 79(1): 87-96 (1998)
	1997
7		Ali A. Minai: Covariance Learning of Correlated Patterns in Competitive Networks. Neural Computation 9(3): 667-681 (1997)
	1994
6		Ali A. Minai, William B. Levy: Setting the Activity Level in Sparse Random Networks. Neural Computation 6(1): 85-99 (1994)
5		Ali A. Minai, Ronald D. Williams: Perturbation response in feedforward networks. Neural Networks 7(5): 783-796 (1994)
	1993
4		Ali A. Minai, William B. Levy: The dynamics of sparse random networks. Biological Cybernetics 70(2): 177-187 (1993)
3		Ali A. Minai, Ronald D. Williams: On the derivatives of the sigmoid. Neural Networks 6(6): 845-853 (1993)
	1992
2		Ali A. Minai, William B. Levy: Predicting Complex Behavior in Sparse Asymmetric Networks. NIPS 1992: 556-563
	1987
1		Ali A. Minai, Ronald D. Williams, F. W. Blake: A Discrete Heuristics Approach to Predictive Evaluation of Semi-Custom IC Layouts. DAC 1987: 770-776

Coauthor Index

1	Tirunelveli Anand	[8]
2	Phillip J. Best	[9] [10] [11] [15] [16]
3	F. W. Blake	[1]
4	Jason W. Bohland	[12] [14]
5	Vincent R. Brown	[19] [21] [22] [25]
6	Kiran V. Byadarhaly	[26] [28] [32]
7	Simona Doboli	[9] [10] [11] [13] [15] [16] [18] [19] [21] [22] [24] [25]
8	Emmanuel Fernandez	[26]
9	Amer G. Ghanem	[29]
10	Laxmi R. Iyer	[21] [24] [25] [27] [28] [31]
11	Daniel S. Levine	[21]
12	William B. Levy	[2] [4] [6]
13	Nagendra Marupaka	[30]
14	Divyachapan Padur	[24]
15	Paul B. Paulus	[21] [25]
16	Mithun Perdoor	[26] [28] [32]
17	Subramoniam Perumal	[23]
18	Hemant Ramaswami	[20]
19	Payal Shah	[20]
20	James G. Uber	[29]
21	Suresh Vasa	[26] [28]
22	Vaidehi Venkatesan	[27]
23	Aaron M. White	[15]
24	Ronald D. Williams	[1] [3] [5]
25	Xiaofu Zhang	[17]

Colors in the list of coauthors

Last update Mon Jun 4 20:40:43 2012 CET by the DBLP Team — Data released under the ODC-BY 1.0 license — See also our legal information page