Walter J. Freeman

	2012
64		Yusely Ruiz, Guang Li, Eduardo González, Walter J. Freeman: A new approach to detect and study spatial-temporal intracranial EEG frames. Digital Signal Processing 22(1): 133-139 (2012)
	2010
63		Lengshi Dai, You Wang, Haigang Zhu, Walter J. Freeman, Guang Li: Novel Method to Discriminate Awaking and Sleep Status in Light of the Power Spectral Density. ISNN (1) 2010: 51-57
62		Walter J. Freeman, Robert Kozma: Freeman's mass action. Scholarpedia 5(1): 8040 (2010)
	2009
61		Jin Zhang, Shangwu Zhu, Rulong Wang, Guang Li, Walter J. Freeman: A new method to generate color texture images based on HSV and olfactory system bionic model. IJCNN 2009: 1446-1449
60		Walter J. Freeman: Cortical mechanisms of memory formation and readout. IJCNN 2009: 882-889
59		Robert Kozma, Walter J. Freeman: The KIV model of intentional dynamics and decision making. Neural Networks 22(3): 277-285 (2009)
58		Walter J. Freeman: Vortices in brain activity: Their mechanism and significance for perception. Neural Networks 22(5-6): 491-501 (2009)
	2008
57		Robert Kozma, Terry Huntsberger, Hrand Aghazarian, Edward Tunstel, Roman Ilin, Walter J. Freeman: Intentional Control for Planetary Rover SRR. Advanced Robotics 22(12): 1309-1327 (2008)
56		Walter J. Freeman: A pseudo-equilibrium thermodynamic model of information processing in nonlinear brain dynamics. Neural Networks 21(2-3): 257-265 (2008)
55		Walter J. Freeman, Harry R. Erwin: Freeman K-set. Scholarpedia 3(2): 3238 (2008)
	2007
54		Guang Li, Jin Zhang, Walter J. Freeman: Mandarin Digital Speech Recognition Based on a Chaotic Neural Network and Fuzzy C-means Clustering. FUZZ-IEEE 2007: 1-5
53		Walter J. Freeman: Cortical aperiodic shutter enabling phase transitions at theta rates. IJCNN 2007: 1192-1197
52		Robert Kozma, Terry Huntsberger, Hrand Aghazarian, Walter J. Freeman: Implementing intentional robotics principles using SSR2K platform. IROS 2007: 2262-2267
51		Ruifen Hu, Guang Li, Meng Hu, Jun Fu, Walter J. Freeman: Recognition of ECoG in BCI Systems Based on a Chaotic Neural Model. ISNN (1) 2007: 685-693
50		Walter J. Freeman: Indirect biological measures of consciousness from field studies of brains as dynamical systems. Neural Networks 20(9): 1021-1031 (2007)
49		John G. Taylor, Walter J. Freeman, Alex Cleeremans: Introduction to the special issue on 'Brain and Consciousness'. Neural Networks 20(9): 929-931 (2007)
48		Walter J. Freeman: Hilbert transform for brain waves. Scholarpedia 2(1): 1338 (2007)
47		Walter J. Freeman: Intentionality. Scholarpedia 2(2): 1337 (2007)
46		Walter J. Freeman: Scale-free neocortical dynamics. Scholarpedia 2(2): 1357 (2007)
	2006
45		Meng Hu, Jiaojie Li, Guang Li, Walter J. Freeman: Analysis of Early Hypoxia EEG Based on a Novel Chaotic Neural Network. ICONIP (1) 2006: 11-18
44		Walter J. Freeman, Giuseppe Vitiello: Exploration of relations between many-body field theory and the nonlinear brain dynamics that underlies cognitive behavior. IJCNN 2006: 369-376
43		Jin Zhang, Guang Li, Walter J. Freeman: Application of Novel Chaotic Neural Networks to Mandarin Digital Speech Recognition. IJCNN 2006: 653-658
42		Xinling Yang, Jun Fu, Zhengguo Lou, Liyu Wang, Guang Li, Walter J. Freeman: Tea Classification Based on Artificial Olfaction Using Bionic Olfactory Neural Network. ISNN (2) 2006: 343-348
41		Meng Hu, Jiaojie Li, Guang Li, Xiaowei Tang, Walter J. Freeman: Normal and Hypoxia EEG Recognition Based on a Chaotic Olfactory Model. ISNN (2) 2006: 554-559
40		Guang Li, Jin Zhang, You Wang, Walter J. Freeman: Face Recognition Using a Neural Network Simulating Olfactory Systems. ISNN (2) 2006: 93-97
39		Jin Zhang, Guang Li, Walter J. Freeman: Application of Novel Chaotic Neural Networks to Text Classification Based on PCA. PSIVT 2006: 1041-1048
38		Xu Li, Guang Li, Le Wang, Walter J. Freeman: A Study on a Bionic Pattern Classifier Based on Olfactory Neural System. I. J. Bifurcation and Chaos 16(8): 2425-2434 (2006)
37		Walter J. Freeman, Mark D. Holmes, G. Alexander West, Sampsa Vanhatalo: Dynamics of human neocortex that optimizes its stability and flexibility. Int. J. Intell. Syst. 21(9): 881-901 (2006)
	2005
36		Guang Li, Zhengguo Lou, Le Wang, Xu Li, Walter J. Freeman: Application of Chaotic Neural Model Based on Olfactory System on Pattern Recognitions. ICNC (1) 2005: 378-381
35		Walter J. Freeman: Dynamic Models for Intention (Goal-Directedness) Are Required by Truly Intelligent Robots. ISNN (1) 2005: 21-33
34		Walter J. Freeman: A field-theoretic approach to understanding scale-free neocortical dynamics. Biological Cybernetics 92(6): 350-359 (2005)
33		Robert Kozma, Marko Puljic, Paul Balister, Béla Bollobás, Walter J. Freeman: Phase transitions in the neuropercolation model of neural populations with mixed local and non-local interactions. Biological Cybernetics 92(6): 367-379 (2005)
32		Walter J. Freeman, Mark D. Holmes: Metastability, instability, and state transition in neocortex. Neural Networks 18(5-6): 497-504 (2005)
31		Robert Kozma, Derek Wong, Rustu Murat Demirer, Walter J. Freeman: Learning intentional behavior in the K-model of the amygdala and entorhinal cortex with the cortico-hyppocampal formation. Neurocomputing 65-66: 23-30 (2005)
	2004
30		Robert Kozma, Marko Puljic, Paul Balister, Béla Bollobás, Walter J. Freeman: Neuropercolation: A Random Cellular Automata Approach to Spatio-temporal Neurodynamics. ACRI 2004: 435-443
29		Walter J. Freeman: Neurobiological Foundation for the Meaning of Information. ICONIP 2004: 1-9
28		Derek Wong, Robert Kozma, Edward Tunstel, Walter J. Freeman: Navigation in a Challenging Martian Environment using Multi-sensory Fusion in KIV Model. ICRA 2004: 672-677
27		Horatiu Voicu, Robert Kozma, Derek Wong, Walter J. Freeman: Spatial navigation model based on chaotic attractor networks. Connect. Sci. 16(1): 1-19 (2004)
26		Walter J. Freeman: How and Why Brains Create Meaning from Sensory Information. I. J. Bifurcation and Chaos 14(2): 515-530 (2004)
25		Deliang Wang, Walter J. Freeman, Robert Kozma, Andrzej Lozowski, Ali Minai: Guest Editorial Special Issue on Temporal Coding for Neural Information Processing. IEEE Transactions on Neural Networks 15(5): 953-956 (2004)
	2003
24		Walter J. Freeman, Gyöngyi Gaál, Rebecka Jorsten: A Neurobiological Theory of Meaning in Perception Part III: Multiple Cortical Areas Synchronize without Loss of Local Autonomy. I. J. Bifurcation and Chaos 13(10): 2845-2856 (2003)
23		Walter J. Freeman, Brian C. Burke: A Neurobiological Theory of Meaning in Perception Part IV: Multicortical Patterns of amplitude Modulation in Gamma EEG. I. J. Bifurcation and Chaos 13(10): 2857-2866 (2003)
22		Walter J. Freeman, Linda J. Rogers: A Neurobiological Theory of Meaning in Perception Part V: Multicortical Patterns of Phase Modulation in Gamma EEG. I. J. Bifurcation and Chaos 13(10): 2867-2887 (2003)
21		Walter J. Freeman: A Neurobiological Theory of Meaning in Perception Part I: Information and Meaning in Nonconvergent and Nonlocal Brain Dynamics. I. J. Bifurcation and Chaos 13(9): 2493-2511 (2003)
20		Walter J. Freeman: A Neurobiological Theory of Meaning in Perception Part II: Spatial Patterns of Phase in Gamma EEGs from Primary Sensory Cortices Reveal the Dynamics of Mesoscopic Wave Packets. I. J. Bifurcation and Chaos 13(9): 2513-2535 (2003)
	2002
19		Robert Kozma, Walter J. Freeman: Classification of EEG patterns using nonlinear dynamics and identifying chaotic phase transitions. Neurocomputing 44-46: 1107-1112 (2002)
	2001
18		Christian Storm, Walter J. Freeman: Attractor Density Models with Application to Analyzing the Stability of Biological Neural Networks. International Conference on Computational Science (2) 2001: 231-234
17		Robert Kozma, Maritza Alvarado, Linda J. Rogers, Brian Lau, Walter J. Freeman: Emergence of un-correlated common-mode oscillations in the sensory cortex. Neurocomputing 38-40: 747-755 (2001)
	2000
16		Robert Kozma, Walter J. Freeman: Encoding and Recall of Noisy Data as Chaotic Spatio-Temporal Memory Patterns in the Style of the Brains. IJCNN (5) 2000: 33-38
15		Walter J. Freeman: A neurobiological interpretation of semiotics: meaning, representation, and information. Inf. Sci. 124(1-4): 93-102 (2000)
14		Walter J. Freeman: A proposed name for aperiodic brain activity: stochastic chaos. Neural Networks 13(1): 11-13 (2000)
	1999
13		Walter J. Freeman: Comparison of Brain Models for Active vs. Passive Perception. Inf. Sci. 116(2-4): 97-107 (1999)
	1998
12		Hung-Jen Chang, Walter J. Freeman, Brian C. Burke: Optimization of olfactory model in software to give 1/f power spectra reveals numerical instabilities in solutions governed by aperiodic (chaotic) attractors. Neural Networks 11(3): 449-466 (1998)
	1997
11		Walter J. Freeman: A biologically derived model for perception to serve as an interface between an intelligent system and its environments. KES (1) 1997: 12-19
10		Walter J. Freeman: Three Centuries of Category Errors in Studies of the Neural Basis of Consciousness and Intentionality. Neural Networks 10(7): 1175-1183 (1997)
	1996
9		Walter J. Freeman: Brain Dynamics in the Genesis of Trust as the Basis for Communication by Representations. AAAI/IAAI, Vol. 2 1996: 1327-1328
8		Walter J. Freeman: Random Activity at the Microscopic Neural Level in Cortex ("Noise") Sustains and is Regulated by Low-Dimensional Dynamics of Macroscopic Cortical Activity ("Chaos"). Int. J. Neural Syst. 7(4): 473-480 (1996)
7		Leslie M. Kay, Larry R. Lancaster Jr., Walter J. Freeman: Reafference and Attractors in the Olfactory System During Odor Recognition. Int. J. Neural Syst. 7(4): 489-496 (1996)
6		Hung-Jen Chang, Walter J. Freeman: Parameter optimization in models of the olfactory neural system. Neural Networks 9(1): 1-14 (1996)
	1991
5		Yong Yao, Walter J. Freeman, Brian C. Burke, Qing Yang: Pattern recognition by a distributed neural network: An industrial application. Neural Networks 4(1): 103-121 (1991)
	1990
4		Yong Yao, Walter J. Freeman: Model of biological pattern recognition with spatially chaotic dynamics. Neural Networks 3(2): 153-170 (1990)
	1989
3		Joe Eisenberg, Walter J. Freeman, Brian C. Burke: Hardware architecture of a neural network model simulating pattern recognition by the olfactory bulb. Neural Networks 2(4): 315-325 (1989)
	1988
2		Walter J. Freeman, Yong Yao, Brian C. Burke: Central pattern generating and recognizing in olfactory bulb: A correlation learning rule. Neural Networks 1(4): 277-288 (1988)
	1975
1		Walter J. Freeman: Parallel Processing of Signals in Neural Sets as Manifested in the EEG. International Journal of Man-Machine Studies 7(3): 347-369 (1975)

Coauthor Index

1	Hrand Aghazarian	[52] [57]
2	Maritza Alvarado	[17]
3	Paul N. Balister (Paul Balister)	[30] [33]
4	Béla Bollobás	[30] [33]
5	Brian C. Burke	[2] [3] [5] [12] [23]
6	Hung-Jen Chang	[6] [12]
7	Alex Cleeremans	[49]
8	Lengshi Dai	[63]
9	Rustu Murat Demirer	[31]
10	Joe Eisenberg	[3]
11	Harry R. Erwin	[55]
12	Jun Fu	[42] [51]
13	Gyöngyi Gaál	[24]
14	Eduardo González	[64]
15	Mark D. Holmes	[32] [37]
16	Meng Hu	[41] [45] [51]
17	Ruifen Hu	[51]
18	Terrance L. Huntsberger (Terry Huntsberger)	[52] [57]
19	Roman Ilin	[57]
20	Rebecka Jorsten	[24]
21	Leslie M. Kay	[7]
22	Robert Kozma (Robert B. Kozma)	[16] [17] [19] [25] [27] [28] [30] [31] [33] [52] [57] [59] [62]
23	Larry R. Lancaster Jr.	[7]
24	Brian Lau	[17]
25	Guang Li	[36] [38] [39] [40] [41] [42] [43] [45] [51] [54] [61] [63] [64]
26	Jiaojie Li	[41] [45]
27	Xu Li	[36] [38]
28	Zhengguo Lou	[36] [42]
29	Andrzej Lozowski	[25]
30	Ali Minai	[25]
31	Marko Puljic	[30] [33]
32	Linda J. Rogers	[17] [22]
33	Yusely Ruiz	[64]
34	Christian Storm	[18]
35	Xiaowei Tang	[41]
36	John G. Taylor	[49]
37	Edward Tunstel	[28] [57]
38	Sampsa Vanhatalo	[37]
39	Giuseppe Vitiello	[44]
40	Horatiu Voicu	[27]
41	Deliang Wang	[25]
42	Le Wang	[36] [38]
43	Liyu Wang	[42]
44	Rulong Wang	[61]
45	You Wang	[40] [63]
46	G. Alexander West	[37]
47	Derek Wong	[27] [28] [31]
48	Qing Yang	[5]
49	Xinling Yang	[42]
50	Yong Yao	[2] [4] [5]
51	Jin Zhang	[39] [40] [43] [54] [61]
52	Haigang Zhu	[63]
53	Shangwu Zhu	[61]

Colors in the list of coauthors

Last update Fri May 25 01:42:58 2012 CET by the DBLP Team — Data released under the ODC-BY 1.0 license — See also our legal information page