| 2008 |
|---|
| 55 | EE | Walter J. Freeman:
A pseudo-equilibrium thermodynamic model of information processing in nonlinear brain dynamics.
Neural Networks 21(2-3): 257-265 (2008) |
| 54 | EE | Walter J. Freeman,
Harry R. Erwin:
Freeman K-set.
Scholarpedia 3(2): 3238 (2008) |
| 2007 |
|---|
| 53 | EE | 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 |
| 52 | EE | Walter J. Freeman:
Cortical aperiodic shutter enabling phase transitions at theta rates.
IJCNN 2007: 1192-1197 |
| 51 | EE | Robert Kozma,
Terry Huntsberger,
Hrand Aghazarian,
Walter J. Freeman:
Implementing intentional robotics principles using SSR2K platform.
IROS 2007: 2262-2267 |
| 50 | EE | 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 |
| 49 | EE | Walter J. Freeman:
Indirect biological measures of consciousness from field studies of brains as dynamical systems.
Neural Networks 20(9): 1021-1031 (2007) |
| 48 | EE | John G. Taylor,
Walter J. Freeman,
Alex Cleeremans:
Introduction to the special issue on 'Brain and Consciousness'.
Neural Networks 20(9): 929-931 (2007) |
| 47 | EE | Walter J. Freeman:
Hilbert transform for brain waves.
Scholarpedia 2(1): 1338 (2007) |
| 46 | EE | Walter J. Freeman:
Intentionality.
Scholarpedia 2(2): 1337 (2007) |
| 45 | EE | Walter J. Freeman:
Scale-free neocortical dynamics.
Scholarpedia 2(2): 1357 (2007) |
| 2006 |
|---|
| 44 | EE | 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 |
| 43 | EE | 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 |
| 42 | EE | Jin Zhang,
Guang Li,
Walter J. Freeman:
Application of Novel Chaotic Neural Networks to Mandarin Digital Speech Recognition.
IJCNN 2006: 653-658 |
| 41 | EE | 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 |
| 40 | EE | 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 |
| 39 | EE | Guang Li,
Jin Zhang,
You Wang,
Walter J. Freeman:
Face Recognition Using a Neural Network Simulating Olfactory Systems.
ISNN (2) 2006: 93-97 |
| 38 | EE | Jin Zhang,
Guang Li,
Walter J. Freeman:
Application of Novel Chaotic Neural Networks to Text Classification Based on PCA.
PSIVT 2006: 1041-1048 |
| 37 | EE | 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) |
| 36 | EE | 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 |
|---|
| 35 | EE | 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 |
| 34 | EE | Walter J. Freeman:
Dynamic Models for Intention (Goal-Directedness) Are Required by Truly Intelligent Robots.
ISNN (1) 2005: 21-33 |
| 33 | EE | Walter J. Freeman:
A field-theoretic approach to understanding scale-free neocortical dynamics.
Biological Cybernetics 92(6): 350-359 (2005) |
| 32 | EE | 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) |
| 31 | EE | Walter J. Freeman,
Mark D. Holmes:
Metastability, instability, and state transition in neocortex.
Neural Networks 18(5-6): 497-504 (2005) |
| 30 | EE | Robert Kozma,
Derek Wong,
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 |
|---|
| 29 | EE | 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 |
| 28 | EE | Walter J. Freeman:
Neurobiological Foundation for the Meaning of Information.
ICONIP 2004: 1-9 |
| 27 | EE | 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 |
| 26 | EE | Horatiu Voicu,
Robert Kozma,
Derek Wong,
Walter J. Freeman:
Spatial navigation model based on chaotic attractor networks.
Connect. Sci. 16(1): 1-19 (2004) |
| 25 | EE | Walter J. Freeman:
How and Why Brains Create Meaning from Sensory Information.
I. J. Bifurcation and Chaos 14(2): 515-530 (2004) |
| 2003 |
|---|
| 24 | EE | 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 | EE | 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 | EE | 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 | EE | 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 | EE | 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 | EE | 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 | EE | 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 | EE | 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 | EE | 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 | EE | 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 | EE | 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 | EE | 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 | EE | 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 | EE | 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 | EE | 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 | EE | Hung-Jen Chang,
Walter J. Freeman:
Parameter optimization in models of the olfactory neural system.
Neural Networks 9(1): 1-14 (1996) |
| 1991 |
|---|
| 5 | EE | 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 | EE | Yong Yao,
Walter J. Freeman:
Model of biological pattern recognition with spatially chaotic dynamics.
Neural Networks 3(2): 153-170 (1990) |
| 1989 |
|---|
| 3 | EE | 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 | EE | 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) |
