Latest Freeman Manuscripts (by Subject)
Date of Last Revision: 4 Sept 2013
Group Headings
AA-AZ. Reviews
BA-BO. Chaos and nonlinear dynamics
CA-CS. Intentionality and Meaning
DA-DU. Mathematical and Engineering Models.
EA-EN. Human EEG.
FA-FV. Field Theory.
GA-GD. Scholarpedia
HA-HU. 80th Birthday Festschrift
A. Reviews
AA. The olfactory system: odor detection and classification. Chapter in: Frontiers in
Biology, Volume 3. Intelligent Systems. Part II Brain Components as Elements of
Intelligent Function (2001). Pages 509-526. New York: Academic Press.
First published in Italian as: "Il sistemo olfattivo: rilevamento e classificazione
degli odori" Vol. III, Parte Seconda: Organizzazioni di systemi intelligenti. Sezzione
III: Parti del Cervello e Funzioni Intelligenti, pp. 477-494. Frontiere della Vita.
Istituto della Enciclopedia Italiana. Fondata da Giovanni Treccani, Roma 1999.
AB. Chaotic oscillations and the genesis of meaning in cerebral cortex. In: Buzsaki
G, Llinás R, Singer W, Berthoz A, Christen Y (eds.) Temporal Coding in the Brain".
Berlin, Springer-Verlag, 1994, pp 13-37. with J. M. Barrie
AC. Characteristics of the synchronization of brain activity imposed by finite
conduction velocities of axons. Special Issue on Synchronization, Kurths J (ed.)
International Journal of Bifurcation and Chaos (2000) 10: 2307-2322.
AD. Three centuries of category errors in studies of the neural basis of
consciousness and intentionality. Neural Networks (1997) 10: 1175-1183.
AE. Introductory article on 'Brain'. Encyclopedia of Science & Technology, Vol. 3,
pp.30-32, 8th ed. New York: McGraw-Hill, 1997.
AF. Mesoscopic neurodynamics: from neuron to brain. J. Physiol. (Paris), 2000, 94:
303-322.
AG. Making Sense of Brain Waves: The Most Baffling Frontier in Neuroscience. In:
Biocomputing. Eds: P Parelus, J Principe, S Rajasekaran. New York: Kluver, 2001.
Chapter 3, Pages 33-55.
AH. Bridging the Gaps Between Neuron, Brain and Behavior with Neurodynamics.
Lecture: Jean Piaget Society Symposium, Berkeley, CA, May 31 - June 2, 2001:
“Using systemic accounts to close the gap between biology and psychology”
AI. Biocomplexity: Adaptive behavior in complex stochastic dynamical systems.
BioSystems (2001) 59: 109-123. With Robert Kozma and Paul Werbos.
AJ. Brain science on ethics: The neurobiology of making choices. International
Neural Network Society Newsletter (2002) 115: 3-4.
AK. Neurodynamic models of brain in psychiatry. Neuropsychopharmacology (2003)
28, S1: 54-63. http://repositories.cdlib.org/postprints/990/
AL. The wave packet: An action potential for the 21st century. Journal of
Integrative Neuroscience (2003) 2: 3-30.
AM. Evidence from human scalp EEG of global chaotic itinerancy. Chaos (2003)
13(3): 1067-1077 (015303CHA, American Institute of Physics, Special Issue)
http://repositories.cdlib.org/postprints/994/
AN. A neurobiological theory of meaning in perception. Part 1. Information and
meaning in nonconvergent and nonlocal brain dynamics. AM. Int. J. Bifurc.
Chaos (2003) 13: 2493-2511. http://repositories.cdlib.org/postprints/3348/
AO. A neurobiological theory of meaning in perception. Part 2. Spatial patterns of
phase in gamma EEGs from primary sensory cortices reveal the dynamics of
mesoscopic wave packets. Int. J. Bifurc. Chaos (2003) 13: 2513-2535.
http://repositories.cdlib.org/postprints/3343/
AP. A neurobiological theory of meaning in perception. Part 3. Multiple cortical
areas synchronize without loss of local autonomy. Int. J. Bifurc. Chaos (2003) 13:
2845-2856. With Gyöngyi Gaál & Rebecka Jornten.
http://repositories.cdlib.org/postprints/3344/
AQ. A neurobiological theory of meaning in perception. Part 4. Multicortical
patterns of amplitude modulation in gamma EEG. Int. J. Bifurc. Chaos (2003):
2857-2866. With Brian C Burke. http://repositories.cdlib.org/postprints/3345/
AR. A neurobiological theory of meaning in perception. Part 5. Multicortical
patterns of phase modulation in gamma EEG. Int. J. Bifurc. Chaos (2003) 13:
2867-2887. With Linda J Rogers. http://repositories.cdlib.org/postprints/3346/
AS. How and why brains create meaning from sensory information. Intern J Bifurc
Chaos 14: 513-530 (2004). http://repositories.cdlib.org/postprints/1689/
AT. Book Review: Alzheimer: The Life of a Physician and the Career of a
Disease. Konrad Maurer and Ulrike Maurer; translated by Neil Levi with
Alastair Burns. New York, Columbia University Press, 2002, 270 pp.
AU. NDN, volume transmission, and self-organization in brain dynamics. J
Integrative Neuroscience 4 (4): 407-421 (2005).
AV. Definitions of state variables and state space for brain-computer
interface. Part 1. Multiple hierarchical levels of brain function. Cognitive
Neurodynamics 1(1): 13-14 (2006). http://dx.doi.org/10.1007/s11571-0069001-x
http://repositories.cdlib.org/postprints/3371
AW. Definitions of state variables and state space for brain-computer
interface. Part 2. Extraction and classification of feature vectors.
Cognitive Neurodynamics 1(2): 85-96 (2007).
http://www.springerlink.com/content/w7737h5tg6551888/
http://repositories.cdlib.org/postprints/3372
AX. The place of 'codes' in nonlinear neurodynamics. Invited article. Chapter
28 in: Progress in Brain Research, “Computational Neuroscience”, Kalaska J,
Cisek P, Drew T (eds.) Amsterdam NL: Elsevier BV, pp. 451-466 (2007).
AY. Indirect biological measures of consciousness from field studies of brains
as dynamical systems. Neural Networks 20: 1021-2031 (2007).
http://dx.doi.org/10.1016/j.neunet.2007.09.004m
http://repositories.cdlib.org/postprints/3011
AZ. Three types of state transition underlying perception. Chapter 1- in:
“Consciousness Transitions: Phylogenetic, Ontogenetic and Physiological
Aspects.” Liljenstrom H, Åhrem P (eds.) Amsterdam NL: Elsevier BV, pp.
235-251 (2007).
AZA. The emergence of mind and emotion in the evolution of neocortex. Riv
Psichiatr. 46 (5-6): 281-7 (2011). doi: 10.1708/1009.10972.
http://escholarship.org/uc/item/9w0672s3
AZB. Aperiodic phase re-setting in scalp EEG of beta-gamma oscillations by state
transitions at alpha-theta rates. Hum Brain Mapp. 19(4): 248-72, 2003. With B.C.
Burke and M.D. Holmes. http://escholarship.org/uc/item/36p898c7
AZC. Performance of intelligent systems governed by internally generated goals.
Chapter 3 in: "Theories of the Cerebral Cortex". Hecht-Nielsen RC, McKenna T
(eds.) New York: Academic Press, pp. 65-84 (2003).
http://escholarship.org/uc/item/73j7h9r9
AZD. Self-organizing brain dynamics and movement goals. Chapter 14, in: Davids K,
Bennett S, Newell K (eds.) Variability in the Movement System: A
Multidisciplinary Approach. Champagne IL: Human Kinetics Inc, pp. 251269 (2005). http://escholarship.org/uc/item/3zc011hc
AZE. Derivation of EEG information from rates of change in order parameter and
free energy dissipation. Conf Proc IEEE Eng Med Biol Soc. 6: 4499-502, 2004.
http://escholarship.org/uc/item/7fv8m2bw
AZF. Metastability, instability, and state transition in neocortex. Neural Netw. 18 (56): 497-504, 2005. With M.D. Holmes. http://escholarship.org/uc/item/8wp033sz
AZG. Three Centuries of Category Errors in Studies of the Neural Basis of
Consciousness and Intentionality. Neural Netw. 10(7): 1175-1183, 1997.
http://escholarship.org/uc/item/2v09x6m2
B. Chaos and nonlinear dynamics
BA. Noise-induced first-order phase transitions in chaotic brain activity.
International Journal of Bifurcation and Chaos, 1999, 9: 2215-2218.
BB. Brains create macroscopic order from microscopic disorder by neurodynamics
in perception. Chapter 7 in: Århem P, Blomberg C, Liljenström H (eds.) Disorder
versus Order in Brain Function. Essays in Theoretical Neurobiology. Singapore:
World Scientific Publishing, 2000, pp. 205-219.
BC. Analysis of spatial patterns of phase in neocortical gamma EEGs in rabbit.
Journal of Neurophysiology 84: 1266-1278 (2000). Freeman WJ & Barrie JM.
BD. A proposed name for aperiodic brain activity: stochastic chaos. Neural
Networks (2000) 13: 11-13.
BE. Spatial spectral analysis of human electrocorticograms including the alpha and
gamma bands. With Linda J Rogers, Mark D Holmes and Daniel L Silbergeld.
Methods in Neuroscience 95: 111-121, 2000.
BF. Statistical evaluation of clusters derived by nonlinear mapping of EEG spatial
patterns. Journal of Neuroscience Methods (1999) 90: 87-95. Barrie JM, Holcmann
D & Freeman WJ
BG. Neurodynamics in auditory cortex during category learning. Ohl FW, Scheich
H, Freeman WJ (2005) Ch. 8 in: König R, Heil P, Budinger E, Scheich H (eds.) The
Auditory Cortex — A Synthesis of Human and Animal Research. Mahwah NJ:
Lawrence Erlbaum Assoc. pp. 429-444.
BH. Change in pattern of ongoing cortical activity with auditory category learning.
Nature (2001) 412: 733-736. Ohl FW, Scheich H & Freeman WJ.
BI. Fine temporal resolution of analytic phase reveals episodic synchronization by
state transitions in gamma EEG. J. Neurophysiol. (2002) 87: 937-945. With Linda
J Rogers. http://repositories.cdlib.org/postprints/2145/
BJ. Simulating cortical background activity at rest with filtered noise. J
Integr Neurosci 7(3): 337-344 (2008). With S O’Nuillain and J Rodriguez.
www.worldscinet.com/jin/07/0703/S02196352080703.html
http://repositories.cdlib.org/postprints/3373
BK. Simulated power spectral density (PSD) of background
electrocorticogram (ECoG). Cognitive Neurodynamics 3(1): 97-103 (2009).
With J Zhai. <http://dx.doi.org/10.1007/s11571-008-9064-y>
http://repositories.cdlib.org/postprints/3374
BL. Deep analysis of perception through dynamic structures that emerge in
cortical activity from self-regulated noise. Cognitive Neurodynamics 3(1):
105-11 (2009). http://www.springerlink.com/content/v375t5l4t065m48q
http://repositories.cdlib.org/postprints/3387
BM. Fine temporal resolution of analytic phase reveals episodic synchronization by
state transitions in gamma EEGs. J Neurophysiol. 87(2): 937-45, 2002. With L. J.
Rogers. http://escholarship.org/uc/item/6qg024j0
BN. Adaptation of the generalized Carnot cycle to describe thermodynamics of
cerebral cortex. In: Proc IEEE World Congr Comp Intell WCCI/IJCNN 2012
Brisbane QLD. Australia 10-15 June 2012 IEEE Press, pp. 3229-3236.With R.
Kozma and G. Vitiello. http://escholarship.org/uc/item/4087h3bs
BO. Thermodynamic model of criticality in the cortex based on EEG/ECOG data.
Chapter in: Plenz, D., Niebur, E (eds), Criticality in Neural Systems, Bethesda: John
Wiley & Sons, 2012. With R. Kozma and M Puljic.
http://escholarship.org/uc/item/43q8x3zb
BR. Response dynamics of entorhinal cortex in awake, anesthetized and
bulbotomized rats. Brain Research (2001) 911:193-202. .Ahrens KF & Freeman
WJ.
C. Intentionality and Meaning
CA. Brain training. Framtider International (1996) 6: 23-27.
CB. Consciousness, Intentionality, and Causality. Journal of Consciousness Studies
(1999) 6: 143-172.
CC. Comparison of brain models for active vs. passive perception. Information
Sciences (1999) 116: 97-107.
CD. A neurobiological interpretation of semiotics: meaning, representation, and
information. Information Sciences (2000) 124: 93-102.
CE. Emotion is essential to all intentional behaviors. Chapter 8 in: Lewis MD, Granic
I (eds.). "Emotion, Development, and Self-Organization". Cambridge U.K.:
Cambridge University Press (2000). pp. 209-235.
CF. Brain Dynamics: Brain Chaos and Intentionality. Chapter 10b in: "Integrative
Neuroscience. Bringing Together Biological, Psychological and Clinical Models of
the Human Brain" Gordon, E. (ed.) Sydney Australia: Harwood Academic Publ.,
2000, pp. 163-171.
CG. A neurobiological role of music in social bonding. Chapter 22 in "The Origins of
Music". Wallin N, Merker B, and Brown S (eds.). Cambridge MA: MIT Press ,2000,
pp. 411-424.
CH. Perception of time and causation through the kinesthesia of intentional action.
Cognitive Processing (2000) 1: 18-34. http://repositories.cdlib.org/postprints/3375
Perception of time and causation through the kinesthesia of intentional action.
Integrative Psychological & Behavioral Science (2008) 42(2): 137-143.
http://repositories.cdlib.org/postprints/3375
CI. The neurodynamics of intentionality in animal brains may provide a basis for
constructing devices that are capable of intelligent behavior. Essay prepared for a
"Workshop on Metrics for Intelligence" in a program for "Development of Criteria
for Machine Intelligence" at the National Institute of Standards and Technology
(NIST), Gaithersburg MD, 14-16 August 2000
CJ. W.Grey Walter: Biographical Essay. Encyclopedia of Cognitive Science(2003) 4:
537-539.
CK. Neurohumoral brain dynamics of social group formation: Implications for
autism. In: Carter CS, Lederhendler II, Kirkpatrick B. "The Integrative
Neurobiology of Affiliation." Annals of the New York Academy of Sciences, 1997,
807: 501-503.
CL. Nonlinear dynamics of intentionality. Journal of Mind and Behavior (1997) 18:
291-304.
CM. Bidirectional processing in the olfactory-limbic axis during olfactory behavior.
Behavioral Neuroscience (1998) 112: 541-553. Kay LM & Freeman WJ.
CN. Osmetic ontogenesis or olfaction becomes you: The neurodynamic, intentional
self and its affinities with the Foucaultian/Butlerian Subject. Configurations
(2001) 9: 509-541. Jennifer Hosek & Walter J Freeman.
CO. William James on consciousness, revisited. Chaos & Complexity Letters (2004)
1:17-42.
CP. A neurobiological model of perception: Considerations for tranference. J
Psychoanalytic Psychology 24(4): 623-640 (2007). Pincus D, Freeman WJ, &
Modell A.
CQ. Perception of time and causation through the kinesthesia of intentional
action. Integrative Psychological & Behavioral Science 42(2): 137-143
(2008).
CR. Nonlinear dynamics and intention according to Aquinas. Mind and Matter
6(2): 207-234 (2009). DOI: 10.1063/1.2979694
CS Understanding Perception Through Neural ‘Codes.’ IEEE Trans. Biomed. Engin.
58 (7): 1884-1890 (2011). http://escholarship.org/uc/item/6xz0g40p DOI: TBME00851-2010.R1
D. Mathematical and Engineering Models.
DA. Taming chaos: Stabilization of aperiodic attractors by noise. IEEE Transactions
on Circuits and Systems (1997) 44: 989-996. Freeman WJ, Chang H-J, Burke BC,
Rose PA & Badler J
DB. Optimization of olfactory model in software to give 1/f power spectra reveals
numerical instabilities in solutions governed by aperiodic (chaotic) attractors.
Neural Networks (1998) 11: 449-466. Chang H-J, Freeman WJ & Burke BC
DC. Biologically modeled noise stabilizing neurodynamics for pattern recognition.
International Journal of Bifurcation and Chaos (1998) 8: 321-345. Chang H-J &
Freeman WJ.
DD. Local homeostasis stabilizes a model of the olfactory system globally in respect
to perturbations by input during pattern classification. International Journal of
Bifurcation and Chaos (1999) 8: 2107-2123. Chang H-J, & Freeman WJ.
DE. Chaotic Resonance: Methods and applications for robust classification of noisy
and variable patterns. Kozma, R. and Freeman, W.J. International Journal of
Bifurcation and Chaos, 11(6): 1607-1629 (2001).
DF. Design and implementation of a biologically realistic olfactory cortex in analog
VLSI. Proceedings IEEE (2001) 89: 1030-1051. .Principe, J.C., Tavares, V.G.,
Harris, J.G. & Freeman, W.J.
DG. A study on a Bionic Pattern Classifier Based on Olfactory Neural System. Int. J.
Bifurcation Chaos., 16, 2425-2434 (2006). Li, X., Li, G., Wang, L., Freeman, W. J.
DH. Tea Classification Based on Artificial Olfaction Using Bionic Olfactory Neural
Networks. In: Wang, J., Yi, Z., Zurada, J. M., et al. (ed) Advances in Neural
Networks. Lecture Notes in Computer Science, 3972, 343-348, Springer-Verlag,
Berlin Heidelberg New York (2006). Yang, X., Fu, J., Lou, Z., Wang, L., Li, G.,
Freeman, W. J. http://repositories.cdlib.org/postprints/2417/
DI. Face Recognition Using a Neural Network Simulating Olfactory Systems. In:
Wang, J., Yi, Z., Zurada, J. M., et al. (ed) Advances in Neural Networks. Lecture
Notes in Computer Science, 3972, 93-97, Springer-Verlag, Berlin Heidelberg New
York (2006). Li, G., Zhang, J., Wang, Y., Freeman, W. J.
DJ. A pattern recognition method for electronic noses based on an olfactory neural
network. Sensors and Actuators B 125: 489-497 (2007). Fu J, Li G, Qin Y, Freeeman
WJ.
DK. Application of novel chaotic neural network on Mandarin digital speech
recognition. Fuzzy Systems Conference, 2007. FUZZ-IEEE 2007-08-27. ISSN:
1098-7584 page(s): 1-5 DOI:10.1109/FUZZY.2007.4295337. Zhang J, Li G,
Freeman WJ.
DM. The KIV model - nonlinear spatio-temporal dynamics of the primordial
vertebrate forebrain. Neurocomputing (2003) 52: 819-826. Robert Kozma, Walter
J Freeman, Peter Erdí.
DN. Neuropercolation: A random cellular automata approach to spatio-temporal
neurodynamics. Cellular Automata, Proceedings. 3305, pp. 435-443 (2004). R
Kozma, M Puljic, P Balister, B Bollobas, and Walter J. Freeman III.
http://repositories.cdlib.org/postprints/1479
DO. Phase transitions in the neuropercolation model of neural populations with
mixed local and non-local interactions. Biol. Cybern. 2005, 92: 367-379. Kozma R,
Puljic M, Balister P, Bollabás B, Freeman WJ.
http://repositories.cdlib.org/postprints/999/
DP. Computational Aspects of Cognition and Consciousness in Intelligent Devices.
IEEE Computational Intelligence 2(3): 53-64 (2007). Kozma R, Aghazarian H,
Huntsherger T, Tunstel E, & Freeman WJ.
http://repositories.cdlib.org/postprints/3376
DQ. Intermittent spatio-temporal de-synchro-nization and sequenced
synchrony in ECoG signals. Chaos18: 037131 (2008). Special Issue:
Synchronization in Complex Networks, Suykens J, Osipov G (eds). Kozma R,
& Freeman WJ. DOI: 10.1063/1.2979694�
http://link.aip.org/link/?CHA/18/037131DOI: 10.1063/1.2979694
http://repositories.cdlib.org/postprints/3377
DR. Implementing intentional robotics principles using SSR2K platform.
Advanced Robotics 22(12): 1309-1327 (2008). Kozma R, Huntsberger T,
Aghazarian H, Tunstel E, Ilin R, & Freeman WJ.
DS. The neurobiological infrastructure of natural computing: Intentionality.
J New Math Natural Computing (NMNC) 5(1): 19-29 (2009). Special Issue
on: “Neurodynamics and Cognition” in Recognition of W J Freeman (March
2009 issue) Kozma R, Caulfield HJ (eds.)
http://repositories.cdlib.org/postprints/3378
DT. The KIV model of intentional dynamics and decision making. Neural
Networks 22(3): 277-285 (April 2009). Kozma R, & Freeman WJ.
doi:10.1016/j.neunet.2009.03.019
http://repositories.cdlib.org/postprints/1049/
DU. Chapter 7. Scale-free cortical planar networks. Handbook of Large-Scale
Random Networks. Series: Bolyai Mathematical Studies, Vol. 18. Bollobás B,
Kozma R, Miklös D (Eds.) New York: Springer (2009). Freeman WJ, Kozma
R, Bollobás B, & Ballister P.
http://www.springer.com/math/numbers/book/978-3-540-69394-9
DV. Attractor density models with application to analyzing the stability of
biological neural networks. Computational Science -- ICCS 2001,
Proceedings Pt 2. 2074, pp. 231-234 (2001). C Storm and Walter J. Freeman
III. http://repositories.cdlib.org/postprints/1478
DW. Power spectral density changes and language lateralization during covert
object naming tasks measured with high-density EEG recordings. Epilepsy Behav.
14 (1): 54-9, 2009. With C. Ramon, M. Holmes, M. Gratkowski, K.J. Eriksen, and J.
Haueisen. http://escholarship.org/uc/item/76n6k9cq
DX. Optimization of olfactory model in software to give 1/f power spectra reveals
numerical instabilities in solutions governed by aperiodic (chaotic) attractors.
Neural Netw. 11(3): 449-466, 1998. With B.C. Burke and H.J. Chang.
http://escholarship.org/uc/item/865921kr
DY. Spatial navigation model based on chaotic attractor networks. Conn. Sci. 16(1):
1-19, 2004. With H. Voicu, R. Kozma, and D. Wong.
http://escholarship.org/uc/item/04h4p7j7
DZ. Comparative analysis of temporal dynamics of EEG and phase synchronization
of EEG to localize epileptic sites from high density scalp EEG interictal
recordings. Conf Proc IEEE Eng Med Biol Soc. 2008: 4548-50, 2008. With C.
Ramon, M.D. Holmes, R. McElroy, and E. Rezvanian.
http://escholarship.org/uc/item/8883p5k0
DZA. Synchronized minima in ECoG power at frequencies between beta-gamma
oscillations disclose cortical singularities in cognition. J Neurosci Neuroengin 1: 111, 2012. With R. Kozma and J. J. J. Davis. http://escholarship.org/uc/item/9ht4t9d6
DZB. Neuropercolation: A Random Cellular Automata Approach to SpatioTemporal Neurodynamics. Ch. in: Lecture Notes in Computer, 2004.
Science: 141.225.40.170springerlink.com With R. Kozma, M. PuljiC, P. Balister, and
B. Bollobas. http://escholarship.org/uc/item/2qn4778j
E. Human EEG.
EA. Spatio-temporal correlations in human gamma band electrocorticograms.
Electroencephalography and clinical Neurophysiology (1996) 98: 89-102. Menon V,
Freeman WJ, Cutillo BA, Desmond JE, Ward MF, Bressler SL, Laxer KD, Barbaro
NM, Gevins AS
EB. Spatial spectral analysis of human electrocorticograms including the alpha and
gamma bands. Journal of Neuroscience Methods (2000) 95: 111-121. Freeman WJ,
Rogers LJ, Holmes MD, Silbergeld DL.
EC. Spatial patterns of gamma activity and fMRI. Powerpoint Tutorial, Organization
for Human Brain Mapping, 2002, Sendai, Japan.
ED. Spatial spectra of scalp EEG and EMG from awake humans. Clinical
Neurophysiology (2003) 114: 1055-1060. With Brian C Burke, Mark D Holmes &
Sampsa Vanhatalo. http://repositories.cdlib.org/postprints/989/
EE. Aperiodic phase re-setting in scalp EEG of beta-gamma oscillations by state
transitions at alpha-theta rates. Human Brain Mapping (2003) 19(4):248-272. With
Brian C Burke & Mark D Holmes.
EF. Application of Hilbert transform to scalp EEG containing EMG. Human Brain
Mapping. 19, pp. 248-272 (2003). Walter J. Freeman III, Brian C. Burke, and M D.
Holmes. http://repositories.cdlib.org/postprints/3347
EG. Dynamics of human neocortex that optimizes its stability and flexibility.
International Journal of Intelligent Systems, 21:1-21 (2006). With Mark D Holmes, G
Alexander West and Sampsa Vanhatalo http://repositories.cdlib.org/postprints/2385
EH. Metastability, instability, and state transition in neocortex. With Mark D
Holmes. Neural Networks. http://authors.elsevier.com/sd/article/S0893608005001085
EI. A cinematographic hypothesis of cortical dynamics in perception. In:
Karakas S, Basar E (eds.) Intern. J. Psychophysiology 60(2): 149-161 (2006).
http://repositories.cdlib.org/postprints/2343
EJ. Fine spatiotemporal structure of phase in human intracranial EEG. Clin.
Neurophysiol. 117, 6, 2006, pp 1228-1243 (2006). Freeman WJ, Holmes MD,
West GA, & Vanhatalo S.
EK. Topography, independent component analysis, and dipole source
analysis of movement related potentials. Cognitive Neurodynamics 1: 327340 (2007). Pockett S, Whalen S, McPhail AVH, & Freeman WJ.
http://DOI 10.1007/s 11571-007-9024y
EL. EEG synchrony during a perceptual-cognitive task: Widespread phase
synchrony at all frequencies. Clin Neurophysiol 120: 695-708 (2009).
Pockett S, Bold GEJ, & Freeman WJ. doi:10.1016/j.clinph.2008.12.044
Electr J Theor Physics 4: 1-18. http://dx.doi.org/10.1016/j.plrev.2006.02.001
EM. Combining fMRI with EEG and MEG in order to relate patterns of
brain activity to cognition. Intern J Psychophysiol 73(1):43-52 (2009).
Freeman WJ, Ahlfors SP, & Menon V.
http://dx.doi.org/10.1016/j.ijpsycho.2008.12.019
http://repositories.cdlib.org/postprints/3386
EN. Brain neural activity patterns yielding numbers are operators, not
representations. Commentary pp. 336-337 in: Kadosh RC, Walsh V (2009)
Numerical representation in the parietal lobes: Abstract or not abstract? Behavioral
Brain Science 32: 313-372 (2009). Freeman WJ, Kozma R.
EO. Similarities between simulated spatial spectra of scalp EEG, EG and
Structural MRI. Brain Topography 1573-6792 (2009). Ramon C, Freeman WJ,
Holmes J, Ishimaru A, Haueisen J, Schimpf PH, Rezcanian E. doi:10.1007/s10548009-0104-7
http://www.springerlink.com/content/8501186u40754727/
EP. Analysis of early hypoxia EEG based on a novel chaotic neural network. Neural
information Processing, Pt 1, Proceedings. 4232, pp. 11-18 (2006). M Hu, J J. Li, G
Li, and Walter J. Freeman III. http://repositories.cdlib.org/postprints/2444
EQ Detecting stable phase structures in EEG signals to classify brain activity
amplitude patterns. J. Zhejiang Univ. (Sci. A) 10(10): 1483-1491. With Y Ruiz, G
Li, and E Gonzalez. http://escholarship.org/uc/item/1r9239g4
ER Behavioral states may be associated with distinct spatial patterns in
electrocorticogram. Cognitive Neurodynamics 5(1): 55-66. With H. Panagiotides,
M.D. Holmes, and D. Pantazis. http://escholarship.org/uc/item/7p94v9gv
ES A new approach to detect and study spatial–temporal intracranial EEG frames.
Digital Signal Processing With 22(1): 133-139. With Y. Ruiz , G. Li, and E.
González http://escholarship.org/uc/item/9m53s3vg
ET. Locating spatial patterns of waveforms during sensory perception in scalp
EEG. Engineering in Medicine and Biology Society (EMBC), 2012 Annual
International Conference of the IEEE, pp.2531-2534, Aug. 28 2012-Sept. 1 2012
doi: 10.1109/EMBC.2012.6346479. wITH A. J. Brockmeier, M. Kh Hazrati, L. Li,
and J. C. Principe. http://escholarship.org/uc/item/33h7f6t8
EU. Controversies in epilepsy: debates held during the Fourth International
Workshop on Seizure Prediction. Epilepsy Behav. 19 (1): 4-16, 2010. With M.G.
Frei, H.P. Zaveri, S. Arthurs, G.K. Bergey, C.C. Jouny, K. Lehnertz, J. Gotman, I.
Osorio, T.I. Netoff, J. Jefferys, G. Worrell, Mle V. Quyen, S.J. Schiff, and F.
Mormann. http://escholarship.org/uc/item/3q36d4qd
EV. Spatial patterning of the neonatal EEG suggests a need for high number of
electrodes. NeuroImaging 68: 229-235. Doi: 10.1016/j.neuroimage.2012.11.062,
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FT Cortical phase transitions, nonequilibrium thermodynamics and the timedependent Ginzburg-Landau equation. W. Freeman, R. Livi, M. Obinata and G.
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FV Dissipation of 'dark energy' by cortex in knowledge retrieval. Physics of Life
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FW Thermodynamic Model of Criticality in the Cortex Based on EEG/ECOG Data.
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