Walter J. Freeman Neurobiology Full Manuscript Archives


   Section I: Neuroscience Book Chapters and Reviews*

IA: Linear analysis of EEGs & AEPs
IB: Measuring Perceptual Events by Decomposing AEPs
IC: Postulating, Then Rejecting, Neural Representations
ID: Modeling Perception With Chaotic Dynamics
IE: Applications Of Neurodynamics In Behavioral Sciences
IF: Studies In Intentionality And Social Bonding
IG: Stabilization Of Chaos By Noise
IH: Book Forwards/Prefaces/Reviews on Brain Oscillation/Function
IJ:  Association Lectures/Tutorials on EEG Research  

1963-1972:04 Articles
1973-1982:07 Articles
1981-1991:14 Articles
1988-1994:14 Articles
1990-1997:11 Articles
1993-1998:07 Articles
1996-1998:02 Articles
1962-1998:02 Articles
2004-2005:02 Articles



   Section II: Experimental & Theoretical Reports on Prepyriform Cortex

IIA: Prepyriform EEG-Spontaneous & Driven-Relating To Behavior
IIB: Assays of Averaged Evoked Potentials (AEPs) and Behavior
IIC: Adaptive Filters & linear Differential Equations For Modeling
IID: Nonlinearity Between Prepyriform Dendritic & Axonal Activity
IIE: Related Findings In Other Brain Structures Used In Mass Action

1959-1963:04 Articles
1959-1962:08 Articles
1964-1970:06 Articles
1988-1994:14 Articles
1967-1991:07 Articles



   Section III: Experimental and Theoretical Reports on Olfactory Bulb

IIIA: Measurement Of Spatiotemporal Dynamics Of Olfactory Bulb
IIIB: Piecewise Linear & Nonlinear Models Of Bulb & Prepyriform
IIIC: Naming Of "Gamma" As Alternative To "40Hz" EEG Activity
IIID: Measurement Of Sniffing As Autoshaped Conditioned Response
IIIE: Chemical Studies Of The Bulb, Partic. Periglomerular Cells
IIIF: EEG Phase & Amplitude Spatial Patterns Relating To Behavior
IIIG: Patents Issued On Devices For EEG Analysis And Modeling

1972-1974:11 Articles
1974-1979:10 Articles
1980-1980:01 Article
1982-1983:05 Articles
1980-1995:07 Articles
1978-1987:03 Articles
1983-1988:03 Articles



   Section IV: Modeling The Global Chaotic Dynamics Of The Olfactory System

IVA: Dynamic Modeling First Steps
IVB: Phase Analysis Yielding Radial Phase Gradients                     

1987-1991:10 Articles
1990-1990:01 Article



   Section V: Dynamics of Neocortex


   Section VI: Implications of Neurodynamics for Social and Medical Sciences



Section I: Book Chapters and Reviews*

IA: Linear analysis of EEGs and AEPs*

  1. The electrical activity of a primary sensory cortex: Analysis of EEG waves. International Review of Neurobiology 5: 53-119. Freeman WJ (1963)   (Adobe PDF Version!)
  2. Problems in the measurement of cortical evoked potentials. Recent Advances in Biological Psychiatry 7: 234-242. Freeman WJ (1964)   (Adobe PDF Version!)
  3. Linear analysis of the dynamics of neural masses. Annual Review of Biophysics and Bioengineering 1: 225-226. Freeman WJ (1972)  (Adobe PDF Version!)
  4. Waves, pulses and the theory of neural masses. Progress in Theoretical Biology 2: 87-165. Freeman WJ (1972)   (Adobe PDF Version!)

IB: Measuring Perceptual Events by Decomposing AEPs

  1. A model of the olfactory system. In: Neural Modeling. Brain Information Service Report No. 1. Eds: Brazier MAB, Walter DO, Schneider E. University of California, Los Angeles, pp. 41-62. Freeman WJ (1973)
  2. Parallel processing of signals in neural sets as manifested in the EEG. IEEE International Journal of Man-machine Studies 7: 347-369. Freeman WJ (1975)
  3. Quantitative patterns of integrated neural activity. Chapter 20 In: Simpler Networks and Behavior. Fentress JC (ed.) Sunderland MA: Sinauer Assoc., Freeman WJ (1976).
  4. The spatial temporal response of the Limulus eye neural net. Journal of Theoretical Biology 69.: 41-56. Leung LS, Freeman WJ (1977)
  5. Measurement of cortical evoked potentials by decomposition of their wave forms. Journal of Cybernetics and Information Science 2: 44-56. Freeman WJ (1979)
  6. >Dynamics of image formation by nerve cell assemblies. In: Synergetics of the Brain. Basar E, Flohr H, Haken H, Mandell AJ (eds.) Berlin, Springer-Verlag. pp 102-121. Freeman WJ (1983)
  7. Analytical Techniques used in the search for the physiological basis of the EEG. In: Gevins A, Remond A (eds). Handbook of Electroencephalography & clinical Neurophysiology Vol 3A, Part 2, Ch. 18. Amsterdam, Elsevier. pp. 583-664. Freeman WJ (1987)

IC: Postulating, Then Rejecting Neural Representations

  1. A physiological hypothesis on perception. Perspectives in Biology & Medicine 24: 561-592. Freeman WJ (1981)
  2. A neural mechanism for generalization over equivalent stimuli in the olfactory system. American Mathematical Society SIAM 13:25-38. Freeman WJ (1981)
  3. The physiological basis of mental images. Academic Address. Biological Psychiatry 18:1107-1125. Freeman WJ (1983)
  4. Premises in neurophysiological studies of learning. Ch.13 in: Neurobiology of learning and Memory Lynch G, McGaugh JL, Weinberger NM (eds.). New York, Guilford Press. pp 231-234. Freeman WJ (1984)
  5. Spatial EEG Patterns, Non-linear Dynamics and Perception: the Neo-Sherringtonian View. Brain Research Reviews 10:147-175. Freeman WJ, Skarda C (1985)
  6. EEG spatial pattern differences with discriminated odors manifest chaotic and limit cycle attractors in olfactory bulb of rabbits. In: Brain Theory. Palm G, Aertsen A (eds.) Berlin, Springer-Verlag. pp. 97-119. Freeman WJ, Viana Di Prisco, G. (1986)
  7. Petit mal seizure spikes in olfactory bulb and cortex caused by runaway inhibition after exhaustion of excitation. Brain Research Reviews 11:259-284. Freeman WJ (1986)
  8. How brains make chaos in order to make sense of the world. Behavioral and Brain Sciences 10: 161-195. Skarda, C.A., Freeman WJ (1987)
  9. Nonlinear neural dynamics in olfaction as a model for cognition. Ch. in: Basar, E. (ed) Dynamics of Sensory and Cognitive Processing in the Brain. Berlin, Springer-Verlag pp. 19-29. Freeman WJ (1987)
  10. Representations: Who needs them? In: Third Conference, Brain Organization and Memory: Cells, Systems and Circuits. (Eds.) J.L. McGaugh JL, Weinberger NM, Lynch G (eds.). New York, Oxford, Guilford Press.. pp. 375-380. Freeman WJ, Skarda, C.A. (1990)
  11. Chaotic dynamics versus representationalism. Behavioral & Brain Sciences 13: 167-168. Freeman WJ, Skarda CA (1990)
  12. Mind/Brain Science: Neuroscience on philosophy of mind. Chapter 7: Lepore E, van Gulick R (eds.) John Searle and his Critics. Oxford UK: Blackwell. pp. 115-127. Freeman WJ, Skarda CA (1990)
  13. Chaos and the new science of the brain. Chapter in Shaw G (ed.) Concepts in Neuroscience 2 275-285. Skarda CA, Freeman WJ (1990)
  14. Insights into processes of visual perception from studies in the olfactory system. Chapter 2 in Squire L, Weinberger NM, Lynch G, McGaugh JL (eds.) Memory: Organization and Locus of Change. New York NY: Oxford University Press. pp. 35-48

ID: Modeling Perception With Chaotic Dynamics


  1. Strange attractors that govern mammalian brain dynamics shown by trajectories of electroencephalographic (EEG) potential. IEEE Trans. Circuits & Systems 35: 781-783. Freeman WJ (1988)
  2. Searching for signal and noise in the chaos of brain waves. Chapter 5 in: Krasner, S. (ed.) The Ubiquity of Chaos. Washington DC, AAAS. pp 47-55. Freeman WJ (1990)
  3. On the problem of anomalous dispersion in chaoto-chaotic phase transitions of neural masses, and its significance for the management of perceptual information in brains. Chapter in: Haken H, Stadler M (eds.) Synergetics of Cognition. Berlin, Springer-Verlag, Vol 45: 126-143. Freeman WJ (1990)
  4. Colligation of coupled cortical oscillators by the collapse of the distributions of amplitude-dependent characteristic frequencie. Chapter 5 in: Gear, CW. (ed.) First NEC Research Symposium. Philadelphia, SIAM, pages 69-103. Freeman WJ (1991)
  5. Predictions on Neocortical Dynamics Derived from Studies in Paleocortex. Chapter 9 in: Basar E, Bullock TH (eds.) Induced Rhythms of the Brain. Cambridge, MA, Birkhaeuser Boston, pp 183-199. Freeman WJ (1992)
  6. Tutorial in Neurobiology: From Single Neurons to Brain Chaos. International Journal of Bifurcation and Chaos 2: 451-482. Freeman, WJ (1992)
  7. A Novel Pathway into Brain Dynamics.
    Unpublished Introduction. Freeman WJ (1990)
  8. Bifurcation analysis of continuous time dynamics of oscillatory neural networks. In: Aertsen A, von Seelen W (eds) Brain Theory - Spatio-temporal Aspects of Brain Function. Amsterdam, Elsevier. pp. 183-208. Freeman WJ, Jakubith S (1993)
  9. Qualitative overview of population neurodynamics. In: Ventriglia F. (ed.) Neural Networks and Neural Modeling. New York, Pergamon, pp. 185-216. Freeman WJ (1994)
  10. Neural networks and chaos. Journal of Theoretical Biology 171: 13-18. Freeman WJ (1994)
  11. Neural mechanisms underlying destabilization of cortex by sensory input. Physica D 75: 151-164. Freeman WJ (1994)
  12. >Characterization of state transitions in spatially distributed, chaotic, nonlinear dynamical systems in cerebral cortex. Integrative Physiological and Behavioral Science 29: 291-303. Freeman WJ (1994)
  13. >Bifurcations in neural systems. Mathematical Sciences 372: 48-52. (translated into Japanese) Freeman WJ (1994)
  14. >Chaotic dynamics in neural pattern recognition. In: Cherkassky V, Friedman JH, Wechsler H (eds.) From Statistics to Neural Networks: Theory and Pattern Recognition Applications. Berlin: Springer-Verlag, pp. 376-394. Freeman WJ (1994)

IE: Applications Of Neurodynamics In Behavioral Sciences

  1. On the fallacy of assigning an origin to consciousness. Chapter 2 in: John ER (ed.) Machinery of the Mind. Cambridge MA, Birkhaeuser Boston. pp. 14-26. Freeman WJ (1990)
  2. The Physiology of Perception. Scientific American, Vol 264: 78-85. Freeman WJ (1991)
  3. Chaos in psychiatry. Editorial. Biological Psychiatry 31: 1079-1081. Freeman WJ (1992)
  4. Valium, histamine and neural networks. Editorial. Biological Psychiatry 34: 1-2. Freeman WJ (1993)
  5. Chaotic oscillations and the genesis of meaning in cerebral cortex. In: Buzsaki G. Llinas R, Singer W, Berthoz A, Christen Y (eds.) Temporal Coding in the Brain". Berlin, Springer-Verlag, pp 13-37. Freeman WJ, Barrie JM (1994)
  6. >Role of chaotic dynamics in neural plasticity. Chapter 21 in: Van Pelt J, Corner MA, Uylings HBM, Lopes da Silva F (eds.) The Self-Organizing Brain: From Growth Cones to Functional Networks. Amsterdam, Elsevier. Progress in Brain Research 102: 319-334. Freeman WJ (1994)
  7. Chaotic state transitions in brains as a basis for the formation of social groups. In: Lemieux P (ed.) Chaos and Society. Sainte-Foi: Les Presses de l'UniversitŽ du QuŽbec, pp. 119-133. Freeman WJ (1995)
  8. >Chaos in the brain: Possible roles in biological intelligence. International Journal of Intelligent Systems 10: 71-88. Freeman WJ (1995)
  9. >The kiss of chaos and the sleeping beauty of psychology. Chapter in: Abraham FD, Gilgen AR (eds.) Chaos Theory in Psychology. Westport CT, Praeger. Freeman WJ (1995)
  10. >The creation of perceptual meanings in cortex through chaotic itinerancy and sequential state transitions induced by sensory stimuli. Chapter in: Kruse P, Stadler M (eds.) "Ambiguity in Mind and Nature". Berlin, Springer-Verlag. pp. 421-437. Freeman WJ (1995)
  11. Happiness doesn't come in bottles: Neuroscientists learn that joy comes through dancing, not drugs. Journal of Consciousness Studies 4: 67-71. Freeman WJ (1997)

IF: Studies In Intentionality And Social Bonding

  1. >The emergence of chaotic dynamics as a basis for comprehending intentionality in experimental subjects. In: Pribram KH (ed.) Rethinking neural networks: Quantum fields and biological data. Proc. 1st Appalachian Conference on Behavioral Neurodynamics, Radford VA. Hillsdale NJ, Lawrence Erlbaum Assoc. pp. 507-514. Freeman WJ (1993)
  2. Chaos in the CNS: Theory and Practice. Chapter 17 in: Greenspan RJ, Kyriacou CP (eds.) Flexibility and Constraint in Behavioral Systems. New York, John Wiley, pp. 177-184. Freeman WJ (1994)
  3. >"Societies of Brains": Jean Burns in conversation. Journal of Consciousness Studies 3: 172-180. Freeman WJ (1996)
  4. 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 807: 501-503. Freeman WJ (1997)
  5. >Nonlinear dynamics of intentionality. Journal of Mind and Behavior 18: 291-304. Freeman WJ (1997)
  6. >Three centuries of category errors in studies of the neural basis of consciousness and intentionality. Neural Networks 10: 1175-1183. Freeman WJ (1997)
  7. >The neurobiology of multimodal sensory integration. Integrative Physiological and Behavioral Science 33: 12-17. Freeman WJ (1998)
  8. *Consciousness, Intentionality, and Causality. Journal of Consciousness Studies 6 Nov/Dec: 143-172, 1999

IG: Stabilization Of Chaos By Noise

  1. >Random activity at the microscopic neural level in cortex ("noise") sustains and is regulated by low-dimensional dynamics of macroscopic cortical activity ("chaos"). International Journal of Neural Systems 7: 473-480. Freeman WJ (1996)
  2. >The regulation and use of microscopic neural noise by macroscopic chaos within populations of neurons in brains. pp. 89-105. Proceedings, 19th Nihon University International Symposium "Order and Non-Order". Ito Y, Kawakami I, Konno K, Matunaga Y, Shimada I, Tsubokawa T (eds.) Singapore: World Scientific. Freeman WJ (1998)

IH: Book Forwards, Prefaces, and Reviews on Brain Oscillations and Function

  1. Foreword. Brain Oscillations. 1. Principles and Approaches. 2. Integrative Brain Function, Neurophysiology and Cognitive Operations. Basar, E (ed.) Berlin: Springer-Verlag. pp. ix-xiii. Freeman WJ (1998)


IJ: Association Lectures/Tutorials on EEG Research

  1. Tutorial in spatial EEG analysis - Part 1, given at the 9th meeting of the Association for the Scientific Study of Consciousness at Cal Tech in Pasadena, California on 24 June 2005.   (Adobe PDF Version!)   (MS PowerPoint Version!)
  2. Tutorial in spatial EEG analysis - Part 2, given at the 9th meeting of the Association for the Scientific Study of Consciousness at Cal Tech in Pasadena, California on 24 June 2005.   (Adobe PDF Version!)   (MS PowerPoint Version!)

Section II: Experimental and Theoretical Reports on Prepyriform Cortex

IIA: Prepyriform EEG, 'spontaneous and driven', relating to behavior

  1. Distribution in time and space of prepyriform and electrical activity. Journal of Neurophysiology 22: 644-665. Freeman WJ (1959) [Abstract only. Full article in "Mesoscopic Brain Dynamics", London: Springer-Verlag, 2000]
  2. Correlation of electrical activity of prepyriform cortex and behavior in cat. Journal of Neurophysiology 23: 111-131. Freeman WJ (1960)
  3. Repetitive electrical stimulation of prepyriform cortex in cat. Journal of Neurophysiology 23: 383-396. Freeman WJ (1960)
  4. Spectral analysis of electrical activity in the prepyriform cortex of cat. Experimental Neurology 8: 423-430. Boudreau JC. Freeman WJ (1963)

IIB: Assays of Averaged Evoked Potentials (AEPs) and Behavior

  1. An ergometer for measuring work from cats as an index for drive. Journal of Applied Physiology 14: 1071-1072. Freeman WJ (1959)
  2. Harmonic oscillation as a model for cortical excitability changes with attention in cats. Science 133: 2058-2059. Freeman WJ (1961)
  3. Q meter for measuring frequency specificity of cortical reactivity to electrical stimulation. Journal of Applied Physiology 16: 750-751. Freeman WJ (1961)
  4. Linear approximation of prepyriform evoked potential in cats. Experimental Neurology 5: 477-499. Freeman WJ (1962)
  5. Phasic and long-term excitability changes in prepyriform cortex of cats. Experimental Neurology 5: 500-518. Freeman WJ (1962)
  6. Changes in prepyriform evoked potential with food deprivation and consumption. Experimental Neurology 6: 12-29. Freeman WJ (1962)
  7. Alterations in prepyriform evoked potential in relation to stimulus intensity. Experimental neurology 6: 70-84. Freeman WJ (1962)
  8. >Comparisons of thresholds for behavioral and electrical responses to cortical electrical stimulation in cats. Experimental Neurology 6: 315-331. Freeman WJ (1962)

IIC: Adaptive Filters and Linear Differential Equations for Modeling

  1. Correlation of goal-directed work with sensory cortical excitability. Recent Advances in Biological Psychiatry 7: 243-250. Freeman WJ (1964)
  2. Use of digital adaptive filters for measuring prepyriform evoked potentials from cats. Experimental. Neurology 10: 475-492. Freeman WJ (1964) [Abstract only. Full article in "Mesoscopic Brain Dynamics", London: Springer-Verlag, 2000]
  3. A linear distributed feedback model for prepyriform cortex. Experimental. Neurology 10: 525-547. Freeman WJ (1964) [Abstract only. Full article in "Mesoscopic Brain Dynamics", London: Springer-Verlag, 2000]
  4. >Linear domain of potentials from the prepyriform cortex with respect to stimulus parameters. Experimental. Neurology 11: 400-417. Biedenbach MA, Freeman WJ (1965)
  5. *Spectral analysis of prepyriform averaged evoked potentials in cats. Journal of Biomedical Systems 1(1): 3-22. Freeman WJ (1970)
  6. *Amplitude and excitability changes of prepyriform cortex related to work performance by cats. Journal of Biomedical Systems 1(4): 3-29. Freeman WJ (1970)

IID: Nonlinearity between Prepyriform Dendritic and Axonal Activity

  1. Analysis Of Function Of Cerebral Cortex By Use Of Control Systems Theory. The Logistics Review 3: 5-40. Freeman WJ (1967) [Abstract only. Full article in "Mesoscopic Brain Dynamics", London: Springer-Verlag, 2000]

  2. >Statistical input-output relations of single cortical neurons. The Physiologist 10: 172. Freeman WJ (1967)
  3. Patterns of variation in waveform of averaged evoked potentials from prepyriform cortex of cats. Journal of Neurophysiology 31: 1-13. Freeman WJ (1968) [Abstract only. Full article in "Mesoscopic Brain Dynamics", London: Springer-Verlag, 2000]
  4. Relations between unit activity and evoked potentials in prepyriform cortex of cats. Journal of Neurophysiology 31: 337-348. Freeman WJ (1968)
  5. Effects of surgical isolation and tetanization on prepyriform cortex in cats. Journal of Neurophysiology 31: 349-357. Freeman WJ (1968) [Abstract only. Full article in "Mesoscopic Brain Dynamics", London: Springer-Verlag, 2000]
  6. Analog simulation of prepyriform cortex in the cat. Mathematical BioScience 2: 181-190. Freeman WJ (1968) [Abstract only. Full article in "Mesoscopic Brain Dynamics", London: Springer-Verlag, 2000]
  7. >Prepyriform electrical activity after loss of peripheral or central input or both. Physiology & Behavior 3: 597-599. Becker CJ, Freeman WJ (1968)
  8. Pattern analysis of cortical evoked potential parameters during attention changes. Physiology & Behavior 4: 67-77. Emery JD, Freeman WJ (1969)
  9. >Alteration of prepyriform evoked response following prolonged electrical stimulation. American Journal of Physiology 215: 1435-1441. Willey TJ, Freeman WJ (1969)
  10. >Effects of applied electric current fields on cortical neural activity. Chapter in: Schwartz E (ed.) Computational Neuroscience. New York, Plenum Press. pp. 274-287. Freeman WJ, Baird, B. (1989)
  11. >Correlations between unit firing and EEG in the rat olfactory system. Brain Research 528: 238-244. Eeckman FH, Freeman WJ (1990)
  12. >Asymmetric sigmoid nonlinearity in the rat olfactory system. Brain Research 557: 13-21. Eeckman, F.H., Freeman WJ (1991)
    --!>

IIE: Related Findings in Other Brain Structures Used in "Mass Action..."

  1. >Olfactory bulb response in the turtle. Nature 193: 782-783. Boudreau, JC., Freeman WJ (1962)
  2. >Evoked potentials arising from neural elements at different times on a warped surface. Bulletin of Mathematical Biophysics 28: 519-536. Horowitz JM, Freeman WJ (1966)
  3. >Extraneuronal potential fields in septal region of cat by stimulation of fornix. Electroencephalogr. clin. Neurophysiol. 24: 444-457. Freeman WJ, H. H. Patel. (1968)
  4. >Effects of anti-and pseudo-Parkinson drugs on shivering. Experimental Neurology 4: 106-114. Stuart DG., Hemingway A, Freeman WJ (1961)
  5. >Map of click-evoked potential in superior olivary nucleus of cats. American Journal of Physiology 206: 1408-1414. Biedenbach MA, Freeman WJ (1964)
  6. >Variation of the superior colliculus evoked response in cats. Experimental. Neurology 19: 127-139. Pickering SG, Freeman WJ (1967)
  7. >Superior colliculus-evoked response in anesthetized cats: Space-time characteristics. American Journal of Physiology 214: 152-157. Pickering SG, Freeman WJ (1968)


Section III: Experimental and Theoretical Reports on Olfactory Bulb

IIIA: Measurement of Spatiotemporal Dynamics of Olfactory Bulb

  1. Spatial divergence and temporal dispersion in primary olfactory nerve of cat. Journal of Neurophysiology 35: 733-761. Freeman WJ (1972)
  2. Measurement of open-loop responses to electrical stimulation in olfactory bulb of cat. Journal of Neurophysiology 35: 745-761. Freeman WJ (1972)
  3. Measurement of oscillatory responses to electrical stimulation in olfactory bulb of cat. Journal of Neurophysiology 35: 762-779. Freeman WJ (1972)
  4. Depth recording of averaged evoked potential of olfactory bulb. Journal of Neurophysiology 35: 780-796. Freeman WJ (1972)
  5. Topographic organization of primary olfactory nerve in cat and rabbit as shown by evoked potentials. Electroencephalogr. clin. Neurophysiol. 36: 33-45. Freeman WJ (1974)
  6. Average transmission distance from mitral tufted to granule cells in olfactory bulb. Electroencephalogr. clin. Neurophysiol. 36: 609-618. Freeman WJ (1974)
  7. Attenuation of transmission through glomeruli of olfactory bulb on paired shock stimulation. Brain Research 65: 77-90. Freeman WJ (1974)
  8. Relation of glomerular neuronal activity to glomerular transmission attenuation. Brain Research 65: 91-107. Freeman WJ (1974)

IIIB: Piecewise Linear and Nonlinear Models of Bulb and Prepyriform

  1. A model for mutual excitation in a neuron population in olfactory bulb. Trans. IEEE Biomedical Engineering 21: 350-358. Freeman WJ (1974) [Abstract only. Full article in "Mesoscopic Brain Dynamics", London: Springer-Verlag, 2000]
  2. Stability characteristics of positive feedback in a neural population. Trans. IEEE Biomedical Engineering 21: 358-364. Freeman WJ (1974) [Abstract only. Full article in "Mesoscopic Brain Dynamics", London: Springer-Verlag, 2000]
  3. Steady-stated and limit cycle activity of mass of neurons forming simple feedback loops (I): Lumped circuit model. Kybernetik 16: 87-91. Ahn SM, Freeman WJ (1974)
  4. Steady-state and limit cycle activity of mass of neurons forming simple feedback loops (II): distributed parameter model. Kybernetik 16: 127-132. Ahn SM, Freeman WJ (1974)
  5. Nonlinear gain mediating cortical stimulus-response relations. Biological Cybernetics 33:237-247. Freeman WJ (1979)
  6. Nonlinear dynamics of paleocortex manifested in the olfactory EEG. Biological Cybernetics 35: 21-37. Freeman WJ (1979)
  7. EEG analysis gives model of neuronal template-matching mechanism for sensory search with olfactory bulb. Biological Cybernetics 35.:221-234. Freeman WJ (1979)

IIIC: The Naming of "Gamma" as an Alternative to "40 Hz" EEG Activity

  1. *Frequency analysis of olfactory system EEG in cat, rabbit and rat. Electroencephalogr. clin. Neurophysiol. 50: 19-24. Bressler SL, Freeman WJ (1980)

IIID: Measurement of sniffing as an autoshaped conditioned response

  1. >On-line detection of respiratory events applied to behavioral conditioning in rabbits. IEEE Transactions on Biomedical Engineering 29: 453-456. Davis, G.W., Freeman WJ (1982)
  2. >Conditioning of relative frequency of sniffing by rabbits to odors. Journal of Comparative Psychology 97: 12-23. Freeman WJ, Viana Di Prisco G, Davis GW, Whitney TM (1983)

IIIE: Chemical Studies of the Bulb, Particularly of Periglomerular Cells

  1. Effects on carnosine on olfactory bulb EEG, evoked potentials and D.C. potentials. Brain Research 202: 373-386. Gonzalez-Estrada MT, Freeman WJ (1980)
  2. Periglomerular cell action on mitral cell in olfactory bulb shown by current source density analysis. Brain Research 308: 223-233. Martinez, D.M., Freeman WJ (1984)
  3. >Chemical dependencies of learning in the rabbit olfactory bulb: acquisition of the transient spatial-pattern change depends on norepinephrine. Behavioral Neuroscience 100: 585-596. Gray, C.M., Freeman WJ, Skinner, J.E. (1986)
  4. >Chloride is preferentially accumulated in a subpopulation of dendrites and periglomerular cells of the main olfactory bulb in adult rats. Neuroscience 64: 165-172. Sikl—s L, Rickmann M, Jo— F, Freeman WJ, Wolff JR (1995)

IIIF: Spatial Patterns of EEG Phase and Amplitude Relating to Behavior

  1. Spatial properties of an EEG event in the olfactory bulb and cortex. Electroencephalogr. clin. Neurophysiol. 44: 586-605. Freeman WJ (1978)
    [Abstract only. Full article in "Mesoscopic Brain Dynamics", London: Springer-Verlag, 2000]
  2. Spatial frequency analysis of an EEG event in the olfactory bulb. In: Multidisciplinary Perspectives in Event-Related Brain potential Research: 531-546. Ed: D.A. Otto. U.S. Govt. Printing Office, EPA-600/9-77-043. Freeman WJ (1978)
  3. Use of spatial deconvolution to compensate for distortion of EEG by volume conduction. IEEE Transactions on Biomedical Engineering 27: 421-429. Freeman WJ (1980)
  4. Changes in spatial patterns of rabbit olfactory EEG with conditioning to odors. Psychophysiology 19: 44-56. Freeman WJ, Schneider, W (1982)
  5. >Olfactory EEG changes under serial discrimination of odorants by rabbits. Chapter in: Schild D (ed.) Chemosensory Information Processing. Berlin: Springer-Verlag, 1990. NATO ASI Series, Vol. H39. pp 375-391. Freeman WJ, Davis GW (1990)
  6. Odor-related bulbar EEG spatial pattern analysis during appetitive conditioning in rabbits. Behavioral Neuroscience 99: 962-978. Viana Di Prisco G , Freeman WJ (1985)   Adobe PDF-Original Scan Bitmap
  7. Relation of olfactory EEG to behavior: Time series analysis. Behavioral Neuroscience 100:753-763. Freeman WJ, Gonzalo Viana Di Prisco, G. (1986)   (Adobe PDF-Text Doc, -or- Adobe PDF-Original Scan Bitmap -or- MS Word.DOC)
  8. Relation of olfactory EEG to behavior: Spatial analysis: Behavioral. Neuroscience 101:393-408. Freeman WJ, Baird B (1987)   Adobe PDF-Original Scan Bitmap
  9. Relation of olfactory EEG to behavior: Factor analysis: Behavioral. Neuroscience 101: 766-777. Freeman WJ, Grajski, K.A. (1987)   Adobe PDF-Original Scan Bitmap
  10. >Classification of EEG spatial patterns with tree-structured methodology. IEEE Trans. Biomedical Engineering 33: 1076-1086. Grajski KA, Breiman L, Viana Di Prisco G, Freeman WJ (1986)
  11. >Spatial EEG correlates of non-associative and associative learning in rabbits. Behavioral Neuroscience 103 790-804. Grajski KA, Freeman WJ (1989)
  12. Spatial patterns of visual cortical fast EEG during conditioned reflex in a rhesus monkey. Brain Research: 422: 267-276. Freeman WJ, Van Dijk, B. (1987)   (Adobe PDF-Text Doc)

IIIG: Patents issued on devices for EEG Analysis and Modeling

  1. Apparatus and method for reconstructing subsurface electrophysiological patterns. United States Patent # 4,416,288 November 22, 1983. Freeman WJ (1983)
  2. Pattern learning and recognition device. United States Patent # 4, 748, 674, May 31, 1988. (UC #85-250) Freeman WJ (1988)
  3. EEG spatial filter and method. United States Patent # 4, 753, 246, June 28, 1988. (UC #85-168) Freeman WJ (1988)


IV: Modeling the Global Chaotic Dynamics of the Olfactory System

IVA: First steps

  1. Simulation of chaotic EEG patterns with a dynamic model of the olfactory system. Biological Cybernetics 56: 139-150. Freeman WJ (1987)
  2. Strange attractors that govern mammalian brain dynamics shown by trajectories of electroencephalographic (EEG) potential. IEEE Trans. Circuits & Systems 35: 781-783. Freeman WJ (1988)
  3. Analysis of strange attractors in EEGs with kinesthetics and computer graphics in 4-D. Lecture at 2nd Intern. Conf. on Dynamics of Sensory and Cognitive Processing in the Brain. Basar E, Stowell H (eds.). Berlin, Springer-Verlag. pp 512-520. Freeman WJ (1988)
  4. Central pattern generating and recognizing in olfactory bulb: A correlation learning rule. Neural Networks 1: 277-288. Freeman WJ, Yao Y, Burke B. (1988)
  5. Hardware architecture of a neural network model simulating pattern recognition by the olfactory bulb. Neural Networks 2: 315-325. Eisenberg J, Freeman WJ, Burke B (1989)
  6. Model of biological pattern recognition with spatially chaotic dynamics. Neural Networks 3: 153-170. Yao Y, Freeman WJ (1990)
  7. Pattern recognition by a distributed neural network: An industrial application. Neural Networks 4: 103-121. Yao, Y., Freeman WJ, Burke, B., Yang, Q. (1991)

IVB: Phase Analysis Yielding Radial Phase Gradients

  1. ~On the problem of anomalous dispersion in chaoto-chaotic phase transitions of neural masses, and its significance for the management of perceptual information in brains. Chapter in: Haken H, Stadler M (eds.) Synergetics of Cognition. Berlin, Springer-Verlag, Vol 45: 126-143. Freeman WJ (1990)


V: Dynamics of Neocortex

  1. Origin, structure, and role of background EEG activity. Part 1. Analytic amplitude. Clinical Neurophysiology; 115: 2077-2088. Freeman, W.J. (2004)    (Adobe PDF Version!) 
  2. Origin, structure, and role of background EEG activity. Part 2. Analytic phase. Clinical Neurophysiology; 115: 2089-2107. Freeman, W.J. (2004)   (Adobe PDF Version!) 
  3. Origin, structure, and role of background EEG activity. Part 3. Neural frame classification. Clinical Neurophysiology; 116 (5): 1118-1129 Freeman, W.J. (2005)   (Adobe PDF Version!) 
  4. Origin, structure, and role of background EEG activity. Part 3. Neural frame simulation. Clinical Neurophysiology; IN PRESS Freeman, W.J. (2005)   (Adobe PDF Version!)
  5. Phase transitions in the neuropercolation model of neural populations with mixed local and non-local interactions. Biol. Cybern. 92: 367-379.   Kozma R, Puljic M, Balister P, Bollabás B, Freeman WJ. (2005)   (Adobe PDF Version!) 


VI: Implications of Neurodynamics for Social and Medical Sciences

  1. Chaotic state transitions in brains as a basis for the formation of social groups. Chapter 20 in: Albert A (ed.) Chaos and Society. Sainte-FoiQuebec, CANADA: Les Presses del'UniversitŽ du QuŽbec, pp. 119-132. Freeman WJ (1995)
  2. 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 807: 501-503. Freeman WJ (1997)
  3. Happiness doesn't come in bottles: Neuroscientists learn that joy comes through dancing, not drugs. Journal of Consciousness Studies 4: 67-71. Freeman WJ (1997)

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