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Books and Theses
- 2000
[b1]Walter J. Freeman:
Neurodynamics - an exploration in mesoscopic brain dynamics. Perspectives in neural computing, Springer 2000, ISBN 978-1-85233-616-5, pp. I-IX, 1-397
Journal Articles
- 2014
- [j53]Prashanth Selvaraj, Jamie W. Sleigh, Walter J. Freeman, Heidi E. Kirsch
, Andrew J. Szeri:
Open loop optogenetic control of simulated cortical epileptiform activity. J. Comput. Neurosci. 36(3): 515-525 (2014) - 2013
- [j52]Maryam Odabaee, Walter J. Freeman, Paul B. Colditz, Ceon Ramon, Sampsa Vanhatalo:
Spatial patterning of the neonatal EEG suggests a need for a high number of electrodes. NeuroImage 68: 229-235 (2013) - 2012
- [j51]Yusely Ruiz, Guang Li, Eduardo González-Moreira, Walter J. Freeman:
A new approach to detect and study spatial-temporal intracranial EEG frames. Digit. Signal Process. 22(1): 133-139 (2012) - 2011
- [j50]Walter J. Freeman:
Understanding Perception Through Neural "Codes". IEEE Trans. Biomed. Eng. 58(7): 1884-1890 (2011) - 2010
- [j49]Walter J. Freeman, Robert Kozma:
Freeman's mass action. Scholarpedia 5(1): 8040 (2010) - 2009
- [j48]Robert Kozma, Walter J. Freeman:
The KIV model of intentional dynamics and decision making. Neural Networks 22(3): 277-285 (2009) - [j47]Walter J. Freeman:
Vortices in brain activity: Their mechanism and significance for perception. Neural Networks 22(5-6): 491-501 (2009) - 2008
- [j46]Robert Kozma, Terry Huntsberger, Hrand Aghazarian, Edward W. Tunstel, Roman Ilin, Walter J. Freeman:
Intentional Control for Planetary Rover SRR. Adv. Robotics 22(12): 1309-1327 (2008) - [j45]Walter J. Freeman:
A pseudo-equilibrium thermodynamic model of information processing in nonlinear brain dynamics. Neural Networks 21(2-3): 257-265 (2008) - [j44]Walter J. Freeman, Harry R. Erwin:
Freeman K-set. Scholarpedia 3(2): 3238 (2008) - 2007
- [j43]Robert Kozma, Hrand Aghazarian, Terry Huntsberger, Eddie Tunstel, Walter J. Freeman:
Computational Aspects of Cognition and Consciousness in Intelligent Devices. IEEE Comput. Intell. Mag. 2(3): 53-64 (2007) - [j42]John G. Taylor, Walter J. Freeman, Axel Cleeremans:
Introduction to the special issue on 'Brain and Consciousness'. Neural Networks 20(9): 929-931 (2007) - [j41]Walter J. Freeman:
Indirect biological measures of consciousness from field studies of brains as dynamical systems. Neural Networks 20(9): 1021-1031 (2007) - [j40]Walter J. Freeman:
Hilbert transform for brain waves. Scholarpedia 2(1): 1338 (2007) - [j39]Walter J. Freeman:
Intentionality. Scholarpedia 2(2): 1337 (2007) - [j38]Walter J. Freeman:
Scale-free neocortical dynamics. Scholarpedia 2(2): 1357 (2007) - 2006
- [j37]Xu Li, Guang Li, Le Wang, Walter J. Freeman:
A Study on a Bionic Pattern Classifier Based on Olfactory Neural System. Int. J. Bifurc. Chaos 16(8): 2425-2434 (2006) - [j36]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
- [j35]Walter J. Freeman:
A field-theoretic approach to understanding scale-free neocortical dynamics. Biol. Cybern. 92(6): 350-359 (2005) - [j34]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. Biol. Cybern. 92(6): 367-379 (2005) - [j33]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) - [j32]Walter J. Freeman, Mark D. Holmes:
Metastability, instability, and state transition in neocortex. Neural Networks 18(5-6): 497-504 (2005) - 2004
- [j31]Horatiu Voicu, Robert Kozma, Derek Wong, Walter J. Freeman:
Spatial navigation model based on chaotic attractor networks. Connect. Sci. 16(1): 1-19 (2004) - [j30]Walter J. Freeman:
How and Why Brains Create Meaning from Sensory Information. Int. J. Bifurc. Chaos 14(2): 515-530 (2004) - [j29]Robert Kozma, Walter J. Freeman, Derek Wong, Péter Érdi:
Learning environmental clues in the KIV model of the cortico-hippocampal formation. Neurocomputing 58-60: 721-728 (2004) - [j28]Deliang Wang, Walter J. Freeman, Robert Kozma, Andrzej Lozowski, Ali A. Minai:
Guest Editorial Special Issue on Temporal Coding for Neural Information Processing. IEEE Trans. Neural Networks 15(5): 953-956 (2004) - 2003
- [j27]Frank W. Ohl, M. Deliano, Henning Scheich, Walter J. Freeman:
Early and late patterns of stimulus-related activity in auditory cortex of trained animals. Biol. Cybern. 88(5): 374-379 (2003) - [j26]Walter J. Freeman:
A Neurobiological Theory of Meaning in Perception Part I: Information and Meaning in Nonconvergent and Nonlocal Brain Dynamics. Int. J. Bifurc. Chaos 13(9): 2493-2511 (2003) - [j25]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. Int. J. Bifurc. Chaos 13(9): 2513-2535 (2003) - [j24]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. Int. J. Bifurc. Chaos 13(10): 2845-2856 (2003) - [j23]Walter J. Freeman, Brian C. Burke:
A Neurobiological Theory of Meaning in Perception Part IV: Multicortical Patterns of amplitude Modulation in Gamma EEG. Int. J. Bifurc. Chaos 13(10): 2857-2866 (2003) - [j22]Walter J. Freeman, Linda J. Rogers:
A Neurobiological Theory of Meaning in Perception Part V: Multicortical Patterns of Phase Modulation in Gamma EEG. Int. J. Bifurc. Chaos 13(10): 2867-2887 (2003) - [j21]Robert Kozma, Walter J. Freeman, Péter Érdi:
The KIV model - nonlinear spatio-temporal dynamics of the primordial vertebrate forebrain. Neurocomputing 52-54: 819-826 (2003) - 2002
- [j20]Robert Kozma, Walter J. Freeman:
Classification of EEG patterns using nonlinear dynamics and identifying chaotic phase transitions. Neurocomputing 44-46: 1107-1112 (2002) - 2001
- [j19]Robert Kozma, Walter J. Freeman:
Chaotic Resonance - Methods and Applications for Robust Classification of noisy and Variable Patterns. Int. J. Bifurc. Chaos 11(6): 1607-1630 (2001) - [j18]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) - [j17]José C. Príncipe, Vítor Grade Tavares, John G. Harris, Walter J. Freeman:
Design and implementation of a biologically realistic olfactory cortex in analog VLSI. Proc. IEEE 89(7): 1030-1051 (2001) - 2000
- [j16]Walter J. Freeman:
Characteristics of the Synchronization of Brain Activity imposed by Finite conduction Velocities of axons. Int. J. Bifurc. Chaos 10(10): 2307-2322 (2000) - [j15]Walter J. Freeman:
A neurobiological interpretation of semiotics: meaning, representation, and information. Inf. Sci. 124(1-4): 93-102 (2000) - [j14]Walter J. Freeman:
A proposed name for aperiodic brain activity: stochastic chaos. Neural Networks 13(1): 11-13 (2000) - 1999
- [j13]Walter J. Freeman:
Comparison of Brain Models for Active vs. Passive Perception. Inf. Sci. 116(2-4): 97-107 (1999) - 1998
- [j12]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
- [j11]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
- [j10]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) - [j9]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) - [j8]Hung-Jen Chang, Walter J. Freeman:
Parameter optimization in models of the olfactory neural system. Neural Networks 9(1): 1-14 (1996) - 1995
- [j7]Walter J. Freeman:
Chaos in the brain: Possible roles in biological intelligence. Int. J. Intell. Syst. 10(1): 71-88 (1995) - 1991
- [j6]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
- [j5]Yong Yao, Walter J. Freeman:
Model of biological pattern recognition with spatially chaotic dynamics. Neural Networks 3(2): 153-170 (1990) - 1989
- [j4]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
- [j3]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) - [j2]Walter J. Freeman:
Neurodynamics of pattern recognition in biological neural networks. Neural Networks 1(Supplement-1): 175 (1988) - 1975
- [j1]Walter J. Freeman:
Parallel Processing of Signals in Neural Sets as Manifested in the EEG. Int. J. Man Mach. Stud. 7(3): 347-369 (1975)
Conference and Workshop Papers
- 2016
- [c42]Jeffery Jonathan Davis, Robert Kozma, Chin-Teng Lin, Walter J. Freeman:
Spatio-temporal EEG pattern extraction using high-density scalp arrays. IJCNN 2016: 889-896 - 2015
- [c41]Jeffery Jonathan Joshua Davis, Robert Kozma, Walter J. Freeman:
The Art of Encephalography to Understand and Discriminate Higher Cognitive Functions Visualizing Big Data on Brain Imaging Using Brain Dynamics Movies. INNS Conference on Big Data 2015: 56-63 - 2013
- [c40]Jeffery Jonathan Joshua Davis, Robert Kozma, Walter J. Freeman:
Neurophysiological evidence of the cognitive cycle and the emergence of awareness. iCAST/UMEDIA 2013: 149-157 - [c39]Walter J. Freeman:
John Gerald Taylor: Comrade, polymath, and consummate neuroscientist - Reminiscences of life together under the Aegis of INNS. IJCNN 2013: 1-3 - 2012
- [c38]Austin J. Brockmeier, Mehrnaz Kh. Hazrati, Walter J. Freeman, Lin Li, José C. Príncipe:
Locating spatial patterns of waveforms during sensory perception in scalp EEG. EMBC 2012: 2531-2534 - [c37]Walter J. Freeman, Robert Kozma, Giuseppe Vitiello:
Adaptation of the generalized Carnot cycle to describe thermodynamics of cerebral cortex. IJCNN 2012: 1-8 - 2010
- [c36]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 - 2009
- [c35]Walter J. Freeman:
Cortical mechanisms of memory formation and readout. IJCNN 2009: 882-889 - [c34]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 - [c33]Robert Kozma, Walter J. Freeman:
Neurodynamics of cognition and consciousness. PerMIS 2009: 147-148 - 2007
- [c32]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 - [c31]Walter J. Freeman:
Cortical aperiodic shutter enabling phase transitions at theta rates. IJCNN 2007: 1192-1197 - [c30]Robert Kozma, Terry Huntsberger, Hrand Aghazarian, Walter J. Freeman:
Implementing intentional robotics principles using SSR2K platform. IROS 2007: 2262-2267 - [c29]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 - 2006
- [c28]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 - [c27]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 - [c26]Jin Zhang, Guang Li, Walter J. Freeman:
Application of Novel Chaotic Neural Networks to Mandarin Digital Speech Recognition. IJCNN 2006: 653-658 - [c25]Guang Li, Jin Zhang, You Wang, Walter J. Freeman:
Face Recognition Using a Neural Network Simulating Olfactory Systems. ISNN (2) 2006: 93-97 - [c24]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 - [c23]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 - [c22]Jin Zhang, Guang Li, Walter J. Freeman:
Application of Novel Chaotic Neural Networks to Text Classification Based on PCA. PSIVT 2006: 1041-1048 - 2005
- [c21]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 - [c20]Walter J. Freeman:
Cinematographic construction by brains of knowledge from information. IJCNN 2005: 120-124 - [c19]Walter J. Freeman, Mark D. Holmes:
Temporal discontinuities in neocortical dynamics. IJCNN 2005: 3156-3161 - [c18]Walter J. Freeman:
Dynamic Models for Intention (Goal-Directedness) Are Required by Truly Intelligent Robots. ISNN (1) 2005: 21-33 - 2004
- [c17]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 - [c16]Walter J. Freeman:
Neurobiological Foundation for the Meaning of Information. ICONIP 2004: 1-9 - [c15]Derek Wong, Robert Kozma, Edward W. Tunstel, Walter J. Freeman:
Navigation in a Challenging Martian Environment using Multi-sensory Fusion in KIV Model. ICRA 2004: 672-677 - [c14]Roman Ilin, Robert Kozma, Walter J. Freeman:
Studies on the conditions of limit cycle oscillations in the K2 models of neural populations. IJCNN 2004: 1511-1516 - [c13]Sangeeta Muthu, Robert Kozma, Walter J. Freeman:
Applying KIV dynamic neural network model for real time navigation by mobile robot EMMA. IJCNN 2004: 1517-1522 - 2003
- [c12]Walter J. Freeman:
A neurobiological theory of meaning in perception. IJCNN 2003: 1373-1378 - [c11]Robert Kozma, Horatiu Voicu, Derek Wong, Walter J. Freeman:
Dynamical neural network algorithm for autonomous learning and navigation control. SMC 2003: 2132-2137 - 2001
- [c10]Walter J. Freeman:
Self-organizing brain dynamics by which the goals are constructed that control patterns of muscle actions. ACC 2001: 240-245 - [c9]Robert Kozma, Walter J. Freeman:
Control of mesoscopic/intermediate-range spatio-temporal chaos in the cortex. ACC 2001: 263-268 - [c8]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 - 2000
- [c7]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 - 1999
- [c6]Robert Kozma, Walter J. Freeman:
A possible mechanism for intermittent oscillations in the KIII model of dynamic memories - the case study of olfaction. IJCNN 1999: 52-57 - [c5]Christian Storm, Walter J. Freeman:
A novel dynamical invariant measure addresses the stability of the chaotic KIII neural network. IJCNN 1999: 725-729 - [c4]Walter J. Freeman:
Stochastic chaos versus deterministic chaos: a case for analog versus digital embodiment of devices for pattern recognition. IJCNN 1999: 736-741 - 1997
- [c3]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 - 1996
- [c2]Walter J. Freeman:
Brain Dynamics in the Genesis of Trust as the Basis for Communication by Representations. AAAI/IAAI, Vol. 2 1996: 1327-1328 - 1988
- [c1]Walter J. Freeman:
Why neural networks don't yet fly: inquiry into the neurodynamics of biological intelligence. ICNN 1988: 1-7
Parts in Books or Collections
- 2003
- [p1]Walter J. Freeman:
Performance of Intelligent Systems Governed by Internally Generated Goals. Computational Models for Neuroscience 2003: 65-84
Coauthor Index
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