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'''Neurophysics''' (or '''neurobiophysics''') is the branch of [[biophysics]] dealing with the development and use of [[Outline of biophysics#Biophysical techniques|physical techniques]] to gain information about the [[nervous system]] on a [[molecular biology|molecular]] level.<ref>{{Citation|last=Nunez|first=Michael|title=Electroencephalography (EEG): neurophysics, experimental methods, and signal processing|date=2016-01-01|url=https://www.researchgate.net/publication/290449135_Electroencephalography_EEG_neurophysics_experimental_methods_and_signal_processing|pages=175–197|isbn=9781482220971|access-date=2018-06-30|last2=Nunez|first2=Paul|last3=Srinivasan|first3=Ramesh}}</ref> Neurophysics is an interdisciplinary science which applies the approaches and methods of experimental biophysics to study the nervous system. Neurophysics aim to describe various cerebral activities using physics with the purpose of studying them and combining them with other [[Neuroscience|neurosciences]] to better understand neural processes. The properties studied are for the most part [[Electromagnetism|electrical]], [[Mechanical engineering|mechanical]] or [[Fluidics|fluidic]]. The term "neurophysics" is a [[portmanteau]] of "[[neuron]]" and "[[physics]]".
'''Neurophysics''' (or '''neurobiophysics''') is the branch of [[biophysics]] dealing with the development and use of physical methods to gain information about the [[nervous system]]. Neurophysics is an interdisciplinary science using physics and combining it with other [[Neuroscience|neurosciences]] to better understand neural processes.
The methods used include the [[Outline of biophysics#Biophysical techniques|techniques of experimental biophysics]] and other physical measurements such as [[Electroencephalography|EEG]]<ref name="EEG">{{Citation|last1=Nunez|first1=Michael|title=Electroencephalography (EEG): neurophysics, experimental methods, and signal processing|date=2016-01-01|url=https://www.researchgate.net/publication/290449135|pages=175–197|isbn=9781482220971|access-date=2018-06-30|last2=Nunez|first2=Paul|last3=Srinivasan|first3=Ramesh}}</ref> mostly to study [[Electromagnetism|electrical]], [[Mechanical engineering|mechanical]] or [[Fluidics|fluidic]] properties, as well as [[Theoretical neuroscience|theoretical and computational approaches]].<ref>{{cite book | chapter-url=https://plato.stanford.edu/search/r?entry=/entries/process-philosophy/&page=1&total_hits=2206&pagesize=10&archive=None&rank=0&query=process%20philosophy | title=The Stanford Encyclopedia of Philosophy | chapter=Process Philosophy | year=2022 | publisher=Metaphysics Research Lab, Stanford University }}</ref> The term "neurophysics" is a [[portmanteau]] of "[[neuron]]" and "[[physics]]".


Among other examples, the theorisation of ectopic [[Action potential|action potentials]] in neurons using a [[Kramers–Moyal expansion|Kramers-Moyal expansion]]<ref>{{Cite journal|last=Frank|first=T. D.|date=2007-01-08|title=Kramers–Moyal expansion for stochastic differential equations with single and multiple delays: Applications to financial physics and neurophysics|url=http://www.sciencedirect.com/science/article/pii/S0375960106013284|journal=Physics Letters A|language=en|volume=360|issue=4|pages=552–562|doi=10.1016/j.physleta.2006.08.062|issn=0375-9601}}</ref> and the description of physical phenomena measured during an [[Electroencephalography|EEG]] using a dipole approximation<ref>{{Cite web|title=(PDF) Electroencephalography (EEG): neurophysics, experimental methods, and signal processing|url=https://www.researchgate.net/publication/290449135_Electroencephalography_EEG_neurophysics_experimental_methods_and_signal_processing|access-date=2020-11-05|website=ResearchGate|language=en}}</ref>, are using neurophysics to better understand neural activity.
Among other examples, the theorisation of ectopic [[Action potential|action potentials]] in neurons using a [[Kramers–Moyal expansion|Kramers-Moyal expansion]]<ref>{{Cite journal|last=Frank|first=T. D.|date=2007-01-08|title=Kramers–Moyal expansion for stochastic differential equations with single and multiple delays: Applications to financial physics and neurophysics|url=http://www.sciencedirect.com/science/article/pii/S0375960106013284|journal=Physics Letters A|language=en|volume=360|issue=4|pages=552–562|doi=10.1016/j.physleta.2006.08.062|bibcode=2007PhLA..360..552F|issn=0375-9601}}</ref> and the description of physical phenomena measured during an EEG using a dipole approximation<ref name="EEG"/> use neurophysics to better understand neural activity.

Another quite distinct theoretical approach considers neurons as having [[Ising model]] energies of interaction and explores the physical consequences of this for various {{pslink|Ising model|Cayley tree topologies and large neural networks|nopage=y}}. In 1981, the exact solution for the closed Cayley tree (with loops) was derived by [[Peter F. Barth|Peter Barth]] for an arbitrary branching ratio<ref>{{cite journal |first=Peter F. |last=Barth | author-link=Peter F. Barth |year=1981 | title=Cooperativity and the Transition Behavior of Large Neural Nets | pages=1–118 | journal= Master of Science Thesis | publisher= University of Vermont | location= Burlington }} </ref> and found to exhibit an unusual [[phase transition]] behavior<ref>{{cite journal| last1=Krizan | first1=J.E. |last2=Barth | first2=P.F. | author-link2= Peter F. Barth | last3=Glasser | first3=M.L.| year=1983 | title= Exact Phase Transitions for the Ising Model on the Closed Cayley Tree| journal=Physica | volume=119A | pages=230–242 | publisher= North-Holland Publishing Co.| doi=10.1016/0378-4371(83)90157-7 }} </ref> in its local-apex and long-range site-site correlations, suggesting that the [[emergence]] of structurally-determined and connectivity-influenced cooperative phenomena may play a significant role in large neural networks.


== Recording techniques ==
== Recording techniques ==
Old techniques to record brain activity using physical phenomena are already widespread in research and medicine. [[Electroencephalography]] (EEG) uses [[electrophysiology]] to measure the electrical activity of the brain. This technique, with which [[Hans Berger]] first recorded the brain electrical activity in 1924 <ref>{{Cite journal|last=Haas|first=L|date=2003|title=Hans Berger (1873–1941), Richard Caton (1842–1926), and electroencephalography|url=https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1738204/|journal=Journal of Neurology, Neurosurgery, and Psychiatry|volume=74|issue=1|pages=9|doi=10.1136/jnnp.74.1.9|issn=0022-3050|pmc=1738204|pmid=12486257|via=}}</ref>, is non-invasive and uses electrodes placed on the scalp of the patient to record brain activity. Based on the same principle,[[electrocorticography]] (ECoG) requires a [[craniotomy]] to record the electrical activity directly on the [[cerebral cortex]].
Old techniques to record brain activity using physical phenomena are already widespread in [[research]] and [[medicine]]. [[Electroencephalography]] (EEG) uses [[electrophysiology]] to measure electrical activity within the brain. This technique, with which [[Hans Berger]] first recorded brain electrical activity on a human in 1924,<ref>{{Cite journal|last=Haas|first=L|date=2003|title=Hans Berger (1873–1941), Richard Caton (1842–1926), and electroencephalography|journal=Journal of Neurology, Neurosurgery, and Psychiatry|volume=74|issue=1|pages=9|doi=10.1136/jnnp.74.1.9|issn=0022-3050|pmc=1738204|pmid=12486257}}</ref> is non-invasive and uses electrodes placed on the scalp of the patient to record brain activity. Based on the same principle, [[electrocorticography]] (ECoG) requires a [[craniotomy]] to record electrical activity directly on the [[cerebral cortex]].


In the recent decades, physicists have come up with technologies and devices to image the brain and the its activity.The [[Functional magnetic resonance imaging|Functional Magnetic Resonance Imaging]] (fMRI) technique, discovered by Seiji Ogawa in 1990<ref>{{Cite journal|last=Ogawa|first=S.|last2=Lee|first2=T. M.|last3=Nayak|first3=A. S.|last4=Glynn|first4=P.|date=1990|title=Oxygenation-sensitive contrast in magnetic resonance image of rodent brain at high magnetic fields|url=https://pubmed.ncbi.nlm.nih.gov/2161986/|journal=Magnetic Resonance in Medicine|volume=14|issue=1|pages=68–78|doi=10.1002/mrm.1910140108|issn=0740-3194|pmid=2161986}}</ref>, studies the blood flow inside the brain. Based on the existing medical imaging technique [[Magnetic resonance imaging|Magnetic Resonance Imaging]] (MRI) and on the link between the neural activity and the cerebral blood flow, this tool enables scientists to study the brain activity when trigerred by a controlled stimulation. The [[Two-photon excitation microscopy|Two Photons Microscopy]] (2P), invented by [[Winfried Denk]] (for which he has been awarded the [[The Brain Prize|Brain Prize]] in 2015<ref>{{Cite web|title=Nokia Bell Labs: Neurophysics Research|url=https://www.bell-labs.com/about/history-bell-labs/stories-changed-world/neurophysics-research-honored-2015-brain-prize/|access-date=2020-11-16|website=www.bell-labs.com|language=en}}</ref>), JH Strickler and [[Watt W. Webb|WW Webb]] in 1990 at [[Cornell University]]<ref>{{Cite journal|last=Denk|first=W.|last2=Strickler|first2=J.|last3=Webb|first3=W.|date=1990|title=Two-photon laser scanning fluorescence microscopy.|url=https://www.semanticscholar.org/paper/Two-photon-laser-scanning-fluorescence-microscopy.-Denk-Strickler/db28ef94b756f9facf907dfe7519f5c0d58b0ace|journal=Science|doi=10.1126/SCIENCE.2321027}}</ref>, uses [[Fluorescent protein|fluorescent proteins]] and dyes to image brain cells. This technique combines the two-photon absorption, first theorized by [[Maria Goeppert-Mayer]] in 1931, with lasers. Nowadays, this technique is widely used in research to study the behavior of a specific type of [[neuron]].
In the recent decades, physicists have come up with technologies and devices to image the brain and its activity. The [[Functional magnetic resonance imaging|Functional Magnetic Resonance Imaging]] (fMRI) technique, discovered by [[Seiji Ogawa]] in 1990,<ref>{{Cite journal|last1=Ogawa|first1=S.|last2=Lee|first2=T. M.|last3=Nayak|first3=A. S.|last4=Glynn|first4=P.|date=1990|title=Oxygenation-sensitive contrast in magnetic resonance image of rodent brain at high magnetic fields|url=https://pubmed.ncbi.nlm.nih.gov/2161986/|journal=Magnetic Resonance in Medicine|volume=14|issue=1|pages=68–78|doi=10.1002/mrm.1910140108|issn=0740-3194|pmid=2161986|s2cid=12379024}}</ref> reveals blood flow changes inside the brain. Based on the existing medical imaging technique [[Magnetic resonance imaging|Magnetic Resonance Imaging]] (MRI) and on the link between the neural activity and the cerebral blood flow, this tool enables scientists to study brain activities when they are triggered by a controlled stimulation. Another technique, the [[Two-photon excitation microscopy|Two Photons Microscopy]] (2P), invented by [[Winfried Denk]] (for which he has been awarded the [[The Brain Prize|Brain Prize]] in 2015<ref>{{Cite web|title=Nokia Bell Labs: Neurophysics Research|url=https://www.bell-labs.com/about/history-bell-labs/stories-changed-world/neurophysics-research-honored-2015-brain-prize/|access-date=2020-11-16|website=www.bell-labs.com|language=en}}</ref>), John H. Strickler and [[Watt W. Webb]] in 1990 at [[Cornell University]],<ref>{{Cite journal|last1=Denk|first1=W.|last2=Strickler|first2=J.|last3=Webb|first3=W.|date=1990|title=Two-photon laser scanning fluorescence microscopy.|journal=Science|volume=248|issue=4951|pages=73–76|doi=10.1126/SCIENCE.2321027|pmid=2321027|bibcode=1990Sci...248...73D|s2cid=18431535}}</ref> uses [[Fluorescent protein|fluorescent proteins]] and dyes to image [[brain cells]]. This technique combines the two-photon absorption, first theorized by [[Maria Goeppert-Mayer]] in 1931, with lasers. Today, this technique is widely used in research and often coupled with [[genetic engineering]] to study the behavior of a specific type of [[neuron]].


== Theories of consciousness ==
== Theories of consciousness ==
Consciousness is yet an unknown mechanism and theorists have come up with physical explanations for its roots. Some theories relie on the idea that consiciousness could be explained by the disturbances in the brain [[Electromagnetic field|electromagnectic field]] generated by action potentials trigerred during brain activity<ref>{{Cite journal|last=McFadden|first=J.|date=2013-01-01|title=The CEMI Field Theory Closing the Loop.|url=http://www.ingentaconnect.com/content/imp/jcs|journal=Journal of Consciousness Studies: controversies in science and the humanities|language=en|volume=20|issue=1-2|pages=153–168|issn=1355-8250}}</ref>, these theories are called [[electromagnetic theories of consciousness]]. Other group of hypotheses suggest that consciousness can not be explained by [[Classical mechanics|classical dynamics]] but with [[quantum mechanics]] and quantum phenomena. These hypotheses are gathered into the idea of [[quantum mind]] and were first introduced by [[Eugene Wigner]].
Consciousness is still an unknown mechanism and theorists have yet to come up with physical hypotheses explaining its mechanisms. Some theories rely on the idea that consciousness could be explained by the disturbances in the cerebral [[electromagnetic field]] generated by the [[Action potential|action potentials]] triggered during brain activity.<ref>{{Cite journal|last=McFadden|first=J.|date=2013-01-01|title=The CEMI Field Theory Closing the Loop.|url=http://www.ingentaconnect.com/content/imp/jcs|journal=Journal of Consciousness Studies: Controversies in Science and the Humanities|language=en|volume=20|issue=1–2|pages=153–168|issn=1355-8250}}</ref> These theories are called [[electromagnetic theories of consciousness]]. Another group of hypotheses suggest that consciousness cannot be explained by [[Classical mechanics|classical dynamics]] but with [[quantum mechanics]] and its phenomena. These hypotheses are grouped into the idea of [[quantum mind]] and were first introduced by [[Eugene Wigner]].


== Neurophysics institutes ==
== Neurophysics institutes ==
Line 19: Line 22:
*Neurophysics Program, [[Georgia State University]]
*Neurophysics Program, [[Georgia State University]]
*Neurophysics at the Institute of Neurology, [[University College of London]]
*Neurophysics at the Institute of Neurology, [[University College of London]]
*Neurophysics at Radboud University, [[Radboud University, Nijmegen, Netherlands]]
{{div col end}}
{{div col end}}


== Awards ==
== Awards ==
Among the list of prices that reward neurophysicists for their contribution to neurology and related fields, the most notable ones are the [[The Brain Prize|Brain Prize]]. The last laureastes are [[Adrian Bird]] and [[Huda Zoghbi]] for "their groundbreaking work to map and understand epigenetic regulation of the brain and for identifying the gene that causes Rett syndrome"<ref>{{Cite web|title=Announcement of The Brain Prize 2020|url=https://www.lundbeckfonden.com/en/thebrainprize/|access-date=2020-10-29|website=Lundbeckfonden|language=en-US}}</ref>. The other most relevant prizes that can be awarded to neurophysicists are the [[NAS Award in the Neurosciences]], the [[Kavli Prize]]. To some extent the [[Nobel Prize in Physiology or Medicine]] also rewards neurophycists with for instance [[Erwin Neher|Neher]] and [[Bert Sakmann|Sakmann]] in 1991 for the [[patch clamp]], or [[Paul Lauterbur|Lauterbur]] and [[Peter Mansfield|Mansfield]] for their work on [[magnetic resonance imaging]] (MRI) in 2003.
Among the list of prizes that reward neurophysicists for their contribution to neurology and related fields, the most notable one is the [[The Brain Prize|Brain Prize]], whose last laureates are [[Adrian Bird]] and [[Huda Zoghbi]] for "their groundbreaking work to map and understand epigenetic regulation of the brain and for identifying the gene that causes Rett syndrome".<ref>{{Cite web|title=Announcement of The Brain Prize 2020|url=https://www.lundbeckfonden.com/en/thebrainprize/|access-date=2020-10-29|website=Lundbeckfonden|language=en-US}}</ref> The other most relevant prizes that can be awarded to a neurophysicist are: the [[NAS Award in the Neurosciences]], the [[Kavli Prize]] and to some extent the [[Nobel Prize in Physiology or Medicine]]. It can be noted that a Nobel Prize was awarded to scientists that developed techniques which contributed widely to a better understanding of the nervous system, such as [[Erwin Neher|Neher]] and [[Bert Sakmann|Sakmann]] in 1991 for the [[patch clamp]], and also to [[Paul Lauterbur|Lauterbur]] and [[Peter Mansfield|Mansfield]] for their work on [[Magnetic resonance imaging]] (MRI) in 2003.


==See also==
==See also==
{{div col|colwidth=22em}}
{{div col|colwidth=22em}}
*[[Action potential]]
*{{annotated link|Action potential}}
*[[Brain]]
*{{annotated link|Brain}}
*[[Biophysics]]
*{{annotated link|Biophysics}}
*[[Electrical engineering]]
*{{annotated link|Electrical engineering}}
*[[Electrophysiology]]
*{{annotated link|Electrophysiology}}
*[[Molecular neuroscience]]
*{{annotated link|Molecular neuroscience}}
*[[Neural engineering]]
*{{annotated link|Neural engineering}}
*[[Neuroimaging]]
*{{annotated link|Neuroimaging}}
*[[Neurophysiology]]
*{{annotated link|Neurophysiology}}
*[[Neuroscience]]
*{{annotated link|Neuroscience}}
*[[Psychophysics]]
*{{annotated link|Psychophysics}}
*[[Quantum mind]]
*{{annotated link|Quantum mind}}
*[[Soliton model in neuroscience]]
*{{annotated link|Soliton model in neuroscience}}
{{div col end}}
{{div col end}}


==Books==
==Books==
*[[Wulfram Gerstner]] and Werner M. Kistler, [http://icwww.epfl.ch/~gerstner//BUCH.html ''Spiking Neuron Models, Single Neurons, Populations, Plasticity,'' Cambridge University Press (2002)] {{ISBN|0-521-89079-9}} {{ISBN|0-521-81384-0}}
*[[Wulfram Gerstner]] and Werner M. Kistler, [http://icwww.epfl.ch/~gerstner//BUCH.html ''Spiking Neuron Models, Single Neurons, Populations, Plasticity,'' Cambridge University Press (2002)] {{Webarchive|url=https://web.archive.org/web/20190324134321/http://icwww.epfl.ch/~gerstner/BUCH.html |date=2019-03-24 }} {{ISBN|0-521-89079-9}} {{ISBN|0-521-81384-0}}
*Alwyn Scott, [http://personal.riverusers.com/~rover/ ''Neuroscience: A Mathematical Primer,'' Birkhäuser (2002)] {{ISBN|0-387-95403-1}}
*Alwyn Scott, [http://personal.riverusers.com/~rover/ ''Neuroscience: A Mathematical Primer,'' Birkhäuser (2002)] {{ISBN|0-387-95403-1}}
*{{Citation|last1=Graben|first1=Peter|title=[[Lectures in Supercomputational Neurosciences]]|url=|volume=|pages=3-48|year=2008|chapter=Foundations of Neurophysics|place=Berlin, Heidelberg|publisher=[[Springer]]|doi=10.1007/978-3-540-73159-7|isbn=978-3-540-73159-7|last2=Zhou|first2=Changsong|last3=Thiel|first3=Marco|last4=Kurths|first4=Jürgen|author4-link=Jürgen_Kurths}}
*{{Citation|last1=Graben|first1=Peter|title=[[Lectures in Supercomputational Neurosciences]]|pages=3–48|year=2008|chapter=Foundations of Neurophysics|place=Berlin, Heidelberg|publisher=[[Springer Publishing|Springer]]|doi=10.1007/978-3-540-73159-7|isbn=978-3-540-73159-7|last2=Zhou|first2=Changsong|last3=Thiel|first3=Marco|last4=Kurths|first4=Jürgen|bibcode=2008lsn..book.....G|author4-link=Jürgen_Kurths}}


==References==
==References==
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{{Physics-footer}}
{{Physics-footer}}


[[Category:Neuroscience]]
[[Category:Basic neuroscience research]]

Latest revision as of 21:41, 14 December 2024

Neurophysics (or neurobiophysics) is the branch of biophysics dealing with the development and use of physical methods to gain information about the nervous system. Neurophysics is an interdisciplinary science using physics and combining it with other neurosciences to better understand neural processes. The methods used include the techniques of experimental biophysics and other physical measurements such as EEG[1] mostly to study electrical, mechanical or fluidic properties, as well as theoretical and computational approaches.[2] The term "neurophysics" is a portmanteau of "neuron" and "physics".

Among other examples, the theorisation of ectopic action potentials in neurons using a Kramers-Moyal expansion[3] and the description of physical phenomena measured during an EEG using a dipole approximation[1] use neurophysics to better understand neural activity.

Another quite distinct theoretical approach considers neurons as having Ising model energies of interaction and explores the physical consequences of this for various Cayley tree topologies and large neural networks. In 1981, the exact solution for the closed Cayley tree (with loops) was derived by Peter Barth for an arbitrary branching ratio[4] and found to exhibit an unusual phase transition behavior[5] in its local-apex and long-range site-site correlations, suggesting that the emergence of structurally-determined and connectivity-influenced cooperative phenomena may play a significant role in large neural networks.

Recording techniques

[edit]

Old techniques to record brain activity using physical phenomena are already widespread in research and medicine. Electroencephalography (EEG) uses electrophysiology to measure electrical activity within the brain. This technique, with which Hans Berger first recorded brain electrical activity on a human in 1924,[6] is non-invasive and uses electrodes placed on the scalp of the patient to record brain activity. Based on the same principle, electrocorticography (ECoG) requires a craniotomy to record electrical activity directly on the cerebral cortex.

In the recent decades, physicists have come up with technologies and devices to image the brain and its activity. The Functional Magnetic Resonance Imaging (fMRI) technique, discovered by Seiji Ogawa in 1990,[7] reveals blood flow changes inside the brain. Based on the existing medical imaging technique Magnetic Resonance Imaging (MRI) and on the link between the neural activity and the cerebral blood flow, this tool enables scientists to study brain activities when they are triggered by a controlled stimulation. Another technique, the Two Photons Microscopy (2P), invented by Winfried Denk (for which he has been awarded the Brain Prize in 2015[8]), John H. Strickler and Watt W. Webb in 1990 at Cornell University,[9] uses fluorescent proteins and dyes to image brain cells. This technique combines the two-photon absorption, first theorized by Maria Goeppert-Mayer in 1931, with lasers. Today, this technique is widely used in research and often coupled with genetic engineering to study the behavior of a specific type of neuron.

Theories of consciousness

[edit]

Consciousness is still an unknown mechanism and theorists have yet to come up with physical hypotheses explaining its mechanisms. Some theories rely on the idea that consciousness could be explained by the disturbances in the cerebral electromagnetic field generated by the action potentials triggered during brain activity.[10] These theories are called electromagnetic theories of consciousness. Another group of hypotheses suggest that consciousness cannot be explained by classical dynamics but with quantum mechanics and its phenomena. These hypotheses are grouped into the idea of quantum mind and were first introduced by Eugene Wigner.

Neurophysics institutes

[edit]

Awards

[edit]

Among the list of prizes that reward neurophysicists for their contribution to neurology and related fields, the most notable one is the Brain Prize, whose last laureates are Adrian Bird and Huda Zoghbi for "their groundbreaking work to map and understand epigenetic regulation of the brain and for identifying the gene that causes Rett syndrome".[11] The other most relevant prizes that can be awarded to a neurophysicist are: the NAS Award in the Neurosciences, the Kavli Prize and to some extent the Nobel Prize in Physiology or Medicine. It can be noted that a Nobel Prize was awarded to scientists that developed techniques which contributed widely to a better understanding of the nervous system, such as Neher and Sakmann in 1991 for the patch clamp, and also to Lauterbur and Mansfield for their work on Magnetic resonance imaging (MRI) in 2003.

See also

[edit]

Books

[edit]
  • Wulfram Gerstner and Werner M. Kistler, Spiking Neuron Models, Single Neurons, Populations, Plasticity, Cambridge University Press (2002) Archived 2019-03-24 at the Wayback Machine ISBN 0-521-89079-9 ISBN 0-521-81384-0
  • Alwyn Scott, Neuroscience: A Mathematical Primer, Birkhäuser (2002) ISBN 0-387-95403-1
  • Graben, Peter; Zhou, Changsong; Thiel, Marco; Kurths, Jürgen (2008), "Foundations of Neurophysics", Lectures in Supercomputational Neurosciences, Berlin, Heidelberg: Springer, pp. 3–48, Bibcode:2008lsn..book.....G, doi:10.1007/978-3-540-73159-7, ISBN 978-3-540-73159-7

References

[edit]
  1. ^ a b Nunez, Michael; Nunez, Paul; Srinivasan, Ramesh (2016-01-01), Electroencephalography (EEG): neurophysics, experimental methods, and signal processing, pp. 175–197, ISBN 9781482220971, retrieved 2018-06-30
  2. ^ "Process Philosophy". The Stanford Encyclopedia of Philosophy. Metaphysics Research Lab, Stanford University. 2022.
  3. ^ Frank, T. D. (2007-01-08). "Kramers–Moyal expansion for stochastic differential equations with single and multiple delays: Applications to financial physics and neurophysics". Physics Letters A. 360 (4): 552–562. Bibcode:2007PhLA..360..552F. doi:10.1016/j.physleta.2006.08.062. ISSN 0375-9601.
  4. ^ Barth, Peter F. (1981). "Cooperativity and the Transition Behavior of Large Neural Nets". Master of Science Thesis. Burlington: University of Vermont: 1–118.
  5. ^ Krizan, J.E.; Barth, P.F.; Glasser, M.L. (1983). "Exact Phase Transitions for the Ising Model on the Closed Cayley Tree". Physica. 119A. North-Holland Publishing Co.: 230–242. doi:10.1016/0378-4371(83)90157-7.
  6. ^ Haas, L (2003). "Hans Berger (1873–1941), Richard Caton (1842–1926), and electroencephalography". Journal of Neurology, Neurosurgery, and Psychiatry. 74 (1): 9. doi:10.1136/jnnp.74.1.9. ISSN 0022-3050. PMC 1738204. PMID 12486257.
  7. ^ Ogawa, S.; Lee, T. M.; Nayak, A. S.; Glynn, P. (1990). "Oxygenation-sensitive contrast in magnetic resonance image of rodent brain at high magnetic fields". Magnetic Resonance in Medicine. 14 (1): 68–78. doi:10.1002/mrm.1910140108. ISSN 0740-3194. PMID 2161986. S2CID 12379024.
  8. ^ "Nokia Bell Labs: Neurophysics Research". www.bell-labs.com. Retrieved 2020-11-16.
  9. ^ Denk, W.; Strickler, J.; Webb, W. (1990). "Two-photon laser scanning fluorescence microscopy". Science. 248 (4951): 73–76. Bibcode:1990Sci...248...73D. doi:10.1126/SCIENCE.2321027. PMID 2321027. S2CID 18431535.
  10. ^ McFadden, J. (2013-01-01). "The CEMI Field Theory Closing the Loop". Journal of Consciousness Studies: Controversies in Science and the Humanities. 20 (1–2): 153–168. ISSN 1355-8250.
  11. ^ "Announcement of The Brain Prize 2020". Lundbeckfonden. Retrieved 2020-10-29.