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  <channel>
    <title>Notebooks   </title>
    <link>http://bactra.org/notebooks</link>
    <description>Cosma's Notebooks</description>
    <language>en</language>

  <item>
    <title>Neuroscience</title>
    <link>http://bactra.org/notebooks/2010/01/15#neuroscience</link>
    <description>




Esp. of perception, attention, &lt;a href=&quot;imagination.html&quot;&gt;imagination&lt;/a&gt;, &lt;a
href=&quot;memory.html&quot;&gt;memory&lt;/a&gt;, reasoning, &lt;a href=&quot;seriatim.html&quot;&gt;serial-order
behavior&lt;/a&gt;.  Popular distortions.  &lt;a href=&quot;neuropsychiatry.html&quot;&gt;And
psychiatry.&lt;/a&gt;

&lt;P&gt;Once all of this was called &quot;neurology,&quot; but now neurology is just neural
medicine, if not just brain surgery, so we have neuroscience, or the
neurosciences (including neurobiology, neurochemistry, neuropharmacology, &lt;a
href=&quot;neuropsychology.html&quot;&gt;neuropsychology&lt;/a&gt;, &lt;a
href=&quot;neuropsychiatry.html&quot;&gt;neuropsychiatry&lt;/a&gt;, neuroendocrinology,
neuroimmunology, neuroethology, cognitive neuroscience and even the cognitivie
neurosciences, and so on &lt;em&gt;ad neuroseam&lt;/em&gt;).  One constant in all this is
that every single textbook on the brain, at least since William James's 1890
&lt;cite&gt;Principles of Psychology,&lt;/cite&gt; declares that most of what we know about
the brain has been learned in the last twenty-five years.  The truly
frightening thing is that this seems to be true.

&lt;P&gt;Neural &lt;a href=&quot;neural-coding.html&quot;&gt;coding&lt;/a&gt;, &lt;a
href=&quot;neuro-synch.html&quot;&gt;synchronization&lt;/a&gt; and &lt;a
href=&quot;neural-modeling.html&quot;&gt;modeling and data-analysis&lt;/a&gt; are all important
enough for me to deserve their own notebooks.  Similarly &lt;a
href=&quot;neural-nets.html&quot;&gt;neural nets&lt;/a&gt;, though their relation to real neurons
is merely impressionistic.

&lt;P&gt;See also:
	&lt;a href=&quot;cognitive-science.html&quot;&gt;Cognitive Science&lt;/a&gt;;
	&lt;a href=&quot;complex-networks.html&quot;&gt;Complex Networks&lt;/a&gt;;
	&lt;a href=&quot;emotion.html&quot;&gt;Emotion&lt;/a&gt;;
	&lt;a href=&quot;excitable-media.html&quot;&gt;Excitable Media&lt;/a&gt;

&lt;ul&gt;To see where this is coming from:
	&lt;li&gt;Denis &lt;a href=&quot;diderot.html&quot;&gt;Diderot&lt;/a&gt;, &lt;cite&gt;D'Alembert's
Dream&lt;/cite&gt;
	&lt;li&gt;Anne Harrington
		&lt;ul&gt;
		&lt;li&gt;&lt;cite&gt;Medicine, Mind and the Double Brain: A Study in
Nineteenth Century Thought&lt;/cite&gt;
		&lt;li&gt;&lt;cite&gt;Reenchanted Science: Holism in German Culture from
Wilhelm II to Hitler&lt;/cite&gt; [Intruiging material on a school of neuroscience
now completely, and deservedly, extinct]
		&lt;/ul&gt;
	&lt;li&gt;&lt;a href=&quot;wm-james.html&quot;&gt;William James&lt;/a&gt;, &lt;cite&gt;&lt;a
href=&quot;http://psychclassics.yorku.ca/James/Principles/&quot;&gt;Principles of
Psychology&lt;/a&gt;&lt;/cite&gt; [Fascinating stuff on connectionism, and, indeed, almost
everything else]
	&lt;li&gt;Marc Jeannerod, &lt;cite&gt;The Brain Machine: The Development of
Neurophysiological Thought&lt;/cite&gt; [The French title (&lt;cite&gt;Le Cerveau-Machine:
Physiologie de la Volont&amp;eacute;&lt;/cite&gt;) is better: not only does it describe
the subject more precisely --- Jeannerod is specifically concerned with
voluntary motion ---- the English loses the play on La Mettrie.]
	&lt;li&gt;&lt;a href=&quot;../LaMettrie&quot;&gt;Julian Offray de La Mettrie&lt;/a&gt;, &lt;cite&gt;&lt;a
href=&quot;../LaMettrie/Machine/&quot;&gt;Man a Machine&lt;/a&gt;&lt;/cite&gt;
	&lt;li&gt;Charles Sherrington, &lt;cite&gt;The Integrative Action of the
Nervous System&lt;/cite&gt; [The view from the beginning of the 20th century]
	&lt;li&gt;W. Grey Walter, &lt;cite&gt;The Living Brain&lt;/cite&gt; [The view from the
1950s]
	&lt;li&gt;J. Z. Young, &lt;cite&gt;Doubt and Certainty in Science&lt;/cite&gt; [Another
view from the 1950s]
	&lt;li&gt;Carl Zimmer, &lt;cite&gt;Soul Made Flesh: The Discovery of the Brain ---
and How It Changed the World&lt;/cite&gt;
	&lt;/ul&gt;

&lt;ul&gt;To see where this is:
	&lt;li&gt;Michael A. Arbib (ed.), &lt;cite&gt;The Handbook of Brain Theory and
Neural Networks&lt;/cite&gt;
	&lt;li&gt;John Bickle, &quot;Understanding Neural Complexity: A Role for
Reduction&quot;, &lt;cite&gt;Minds and Machines&lt;/cite&gt; &lt;strong&gt;11&lt;/strong&gt; (2001):
467--481
	&lt;li&gt;Valentino Braitenberg, &lt;cite&gt;Vehicles: Experiments in Synthetic
Psychology&lt;/cite&gt; [&lt;a href=&quot;../reviews/vehicles/&quot;&gt;Review: Hume on Wheels, or,
One Must Imagine Frankenstein Happy&lt;/a&gt;]
	&lt;li&gt;&lt;cite&gt;&lt;a href=&quot;http://www.bbsonline.org/&quot;&gt;Behavioral and Brain Sciences&lt;/a&gt;&lt;/cite&gt;
	&lt;li&gt;&lt;a href=&quot;wm-calvin.html&quot;&gt;William Calvin,&lt;/a&gt; &lt;cite&gt;The Throwing
Madonna&lt;/cite&gt; [Nice chapter debunking right-brain/left-brain superstitions]
	&lt;li&gt;Calvin and Ojemann, &lt;cite&gt;&lt;a
href=&quot;http://weber.u.washington.edu/~wcalvin/bk7/bk7.htm&quot;&gt;Conversations with
Neil's Brain&lt;/a&gt;&lt;/cite&gt;
	&lt;li&gt;Patricia Churchland and Terrence Sejnowski, &lt;cite&gt;The
Computational Brain&lt;/cite&gt;
	&lt;li&gt;Antonio Damasio, &lt;cite&gt;Descartes' Error&lt;/cite&gt;
	&lt;li&gt;Karl Friston, &quot;Beyond Phrenology: What Can Neuroimaging Tell Us
About Distributed
Circuitry?&quot;, &lt;a href=&quot;http://dx.doi.org/10.1146/annurev.neuro.25.112701.142846&quot;&gt;&lt;citE&gt;Annual
Review of Neuroscience&lt;/cite&gt;
&lt;strong&gt;25&lt;/strong&gt; (2002): 221--250&lt;/a&gt;
	&lt;li&gt;Richard Gregory, &lt;cite&gt;Eye and Brain&lt;/cite&gt;
	&lt;li&gt;Dan Hartline, &lt;a href=&quot;http://www.pbrc.hawaii.edu/STG/&quot;&gt;The STG 
Homepage&lt;/a&gt;
	&lt;li&gt;Cyril Herry, Stephane Ciocchi, Verena Senn, Lynda Demmou, Christian M&amp;uuml;ller and Andreas L&amp;uuml;thi, &quot;Switching on and off fear by distinct neuronal circuits&quot;, &lt;a href=&quot;http://dx.doi.org/10.1038/nature07166&quot;&gt;&lt;cite&gt;Nature&lt;/cite&gt; &lt;strong&gt;454&lt;/strong&gt; (2008): 600--606&lt;/a&gt;
	&lt;li&gt;Nikos K. Logothetis, &quot;What we can do and what we cannot do with
fMRI&quot;, &lt;a href=&quot;http://dx.doi.org/10.1038/nature06976&quot;&gt;&lt;cite&gt;Nature&lt;/cite&gt;
&lt;strong&gt;453&lt;/strong&gt; (2008): 869--878&lt;/a&gt;
	&lt;li&gt;A. R. Luria
		&lt;ul&gt;
		&lt;li&gt;&lt;cite&gt;The Man with a Shattered World&lt;/cite&gt;
		&lt;li&gt;&lt;cite&gt;The Working Brain&lt;/cite&gt; [described under &lt;a
href=&quot;neuropsychology.html&quot;&gt;neuropsychology&lt;/a&gt;]
		&lt;/ul&gt;
	&lt;li&gt;Alex Proekt, Vladimir Brezina and Klaudiusz R. Weiss, &quot;Dynamical
basis of intentions and expectations in a simple neuronal network&quot;,
&lt;a href=&quot;http://www.pnas.org/cgi/doi/10.1073/pnas.0402002101&quot;&gt;&lt;cite&gt;PNAS&lt;/cite&gt;
(2004) 10.1073/pnas.0402002101&lt;/a&gt; [What does a sea-slug's tongue expect to
have to do next?]
	&lt;li&gt;J. D. Ramsey, S. J. Hanson, C. Hanson, Y. O. Halchenko,
R. A. Poldrack and C. Glymour, &quot;Six Problems for Causal Inference from
fMRI&quot; [Thanks to Prof. Glymour for a preprint]
	&lt;li&gt;Shephard, &lt;cite&gt;Neurobiology&lt;/cite&gt;
	&lt;/ul&gt;

&lt;ul&gt;To read, philosophical and popular:
	&lt;li&gt;Ira Black, &lt;cite&gt;Information in the Brain&lt;/cite&gt;
	&lt;li&gt;Changeux
		&lt;ul&gt;
		&lt;li&gt;&lt;cite&gt;Conversations on Minds, Mathematics and
Machines&lt;/cite&gt;
		&lt;li&gt;&lt;cite&gt;Neuronal Man&lt;/cite&gt;
		&lt;li&gt;&lt;cite&gt;The Physiology of Truth: Neuroscience and Human
Knowledge&lt;/cite&gt; [&lt;a
href=&quot;http://www.hup.harvard.edu/catalog/CHAPHT.html&quot;&gt;Blurb&lt;/a&gt;]
		&lt;/ul&gt;
	&lt;li&gt;Churchland and Churchland, &lt;cite&gt;On the Contrary&lt;/cite&gt;
	&lt;li&gt;Corballis, &lt;cite&gt;The Lopsided Ape&lt;/cite&gt;
	&lt;li&gt;Stanislas Dehaene (ed.), &lt;cite&gt;The Cognitive Neuroscience
of Consciousness&lt;/cite&gt;
	&lt;li&gt;Michael S. Gazzaniga, &lt;citE&gt;The Mind's Past&lt;/cite&gt;
	&lt;li&gt;R. L. Gregory, &lt;cite&gt;The Intelligent Eye&lt;/cite&gt;
	&lt;li&gt;Richard L. Gregory (ed.), &lt;cite&gt;The Oxford Companion to the
Mind&lt;/cite&gt;
	&lt;li&gt;Joseph B. Hellige, &lt;cite&gt;Hemispheric Asymmetry: What's Right and
What's Left&lt;/cite&gt;
	&lt;li&gt;Philip J. Hilts, &lt;cite&gt;Memory's Ghost: The Strangle Tale of Mr. M
and the Nature of Memory&lt;/cite&gt; [More &quot;neurography&quot;]
	&lt;li&gt;Hobson
		&lt;ul&gt;
		&lt;li&gt;&lt;cite&gt;Chemistry of Conscious States&lt;/cite&gt;
		&lt;li&gt;&lt;cite&gt;The Dreaming Mind&lt;/cite&gt;
		&lt;/ul&gt;
	&lt;li&gt;Hubel, &lt;cite&gt;Eye, Brain and Vision&lt;/cite&gt; [Hubel is one of the
discoverers of arrays of cells dedicated to looking for very specific visual
features --- lines at certain angles, moving dark patches, etc.]
	&lt;li&gt;V. S. Ramachandran and Andra Blakslee, &lt;cite&gt;Phantoms in the
Brain&lt;/cite&gt;
	&lt;li&gt;Roger N. Shepard, &lt;cite&gt;Mind Sights: Original Visual Illusions,
Ambiguities and Other Anomalies, with a Commentary on the Play of Mind in
Perception and Art&lt;/cite&gt;
	&lt;li&gt;Snyder, &lt;cite&gt;Drugs and the Brain&lt;/cite&gt;
	&lt;li&gt;J. Z. Young, &lt;cite&gt;A Model of the Brain&lt;/cite&gt;
	&lt;li&gt;Semir Zeki
		&lt;ul&gt;
		&lt;li&gt;&lt;cite&gt;Inner Vision&lt;/cite&gt;
		&lt;li&gt;&lt;cite&gt;A Vision of the Brain&lt;/cite&gt;
		&lt;/ul&gt;
	&lt;/ul&gt;

&lt;ul&gt;To read, historical:
	&lt;li&gt;Brazier, &lt;cite&gt;A History of Neurophysiology&lt;/cite&gt;
	&lt;li&gt;Finger, &lt;cite&gt;Origins of Neuroscience&lt;/cite&gt;
	&lt;li&gt;R. L. Gregory, &lt;cite&gt;Mind in Science: A History of Explanation in
Psychology&lt;/cite&gt;
	&lt;li&gt;Gross, &lt;cite&gt;Brain, Vision and Memory: Tales in the History of
Neuroscience&lt;/cite&gt;
	&lt;li&gt;Marshall and Magoun, &lt;cite&gt;Discoveries in the Human Brain&lt;/cite&gt;
	&lt;li&gt;&lt;a
href=&quot;http://mchip00.med.nyu.edu/lit-med/lit-med-db/webdocs/webauthors/mitchell466-au-.html&quot;&gt;S. Weir Mitchell&lt;/a&gt;
	&lt;li&gt;Jonathan D. Moreno, &lt;cite&gt;Mind Wars: Brain Research and National
Defense&lt;/cite&gt; [&lt;a
href=&quot;http://www.press.uchicago.edu/cgi-bin/hfs.cgi/00/211091.ctl&quot;&gt;blurb&lt;/a&gt;]
	&lt;li&gt;Sidney Ochs, &lt;cite&gt; A History of Nerve Functions: From Animal
Spirits to Molecular Mechanisms&lt;/cite&gt;
	&lt;li&gt;Wilder Penfield, &lt;cite&gt;The Excitable Cortex in Conscious Man&lt;/cite&gt;
	&lt;li&gt;Santiago Ramon y Cajal, &lt;cite&gt;Recollections of My Life&lt;/cite&gt;
	&lt;li&gt;Edward S. Reed, &lt;cite&gt;From Soul to Mind: The Emergence of
Psychology from Erasmus Darwin to William James&lt;/cite&gt;
	&lt;li&gt;Gordon Shepherd, &lt;li&gt;&lt;cite&gt;Foundations of the Neuron
Doctrine&lt;/cite&gt; [History]
	&lt;li&gt;Sherrington, &lt;cite&gt;Man on his Nature&lt;/cite&gt;
	&lt;li&gt;Roger Smith, &lt;cite&gt;Inhibition: History and Meaning in the
Sciences of Mind and Brain&lt;/cite&gt;
	&lt;li&gt;Robert M. Young, &lt;cite&gt;&lt;a
href=&quot;http://www.shef.ac.uk/~psysc/mba/mba1.html&quot;&gt;Mind, Brain and Adaptation in
the 19th Century&lt;/a&gt;&lt;/cite&gt;
	&lt;/ul&gt;

&lt;ul&gt;To read, technical:
	&lt;li&gt;Aidley, &lt;cite&gt;Physiology of Excitable Cells&lt;/cite&gt;
	&lt;li&gt;Daniel Amit, &lt;a
href=&quot;http://www.bbsonline.org/documents/a/00/00/04/21/index.html&quot;&gt;The Hebbian
Paradigm Reintegerated: Local Reverberations as Internal Representations&lt;/a&gt;
	&lt;li&gt;Arbib, Erdi and Szentagothai, &lt;citE&gt;Neural Organization: Structure,
Function, and Dynamics&lt;/cite&gt;
[&lt;a href=&quot;http://mitpress.mit.edu/0-262-01159-X&quot;&gt;Blurb&lt;/a&gt;]
	&lt;li&gt;Yuri I. Arshavsky, &quot;Cellular and network properties in the
functioning of the nervous system: from central pattern generators to
cognition,&quot; &lt;a
href=&quot;http://dx.doi.org/10.1016/S0165-0173(02)00249-7&quot;&gt;&lt;cite&gt;Brain Research
Reviews&lt;/cite&gt; &lt;strong&gt;41&lt;/strong&gt; (2003): 229--267&lt;/a&gt;
	&lt;li&gt;Abigail A. Baird, Mary Kathryn Colvin, John D. VanHorn, Souheil
Inati and Michael S. Gazzaniga, &quot;Functional Connectivity: Integrating
Behavioral, Diffusion Tensor Imaging, and Functional Magnetic Resonance Imaging
data sets&quot;, &lt;a
href=&quot;http://mitpress.mit.edu/catalog/item/default.asp?sid=084FA162-3F77-4B6E-AF97-9A33AE799C6A&amp;ttype=6&amp;tid=18053&amp;mlid=423&quot;&gt;&lt;cite&gt;Journal
of Cognitive Neuroscience&lt;/cite&gt; &lt;strong&gt;17&lt;/strong&gt; (2005): 687--693&lt;/a&gt;
[Full-text free on line as a teaser for the journal]
	&lt;li&gt;Valentino Braitenberg, &lt;cite&gt;On the Texture of Brains: An
Introduction to Neuroanatomy for the &lt;a
href=&quot;cybernetics.html&quot;&gt;Cybernetically&lt;/a&gt; Minded&lt;/cite&gt;
	&lt;li&gt;Kevin L. Briggman, H. D. I. Abarbanel and William B. Kristan, Jr.,
&quot;Optimal Imaging of Neuronal Populations During Decision-Making&quot;,
&lt;cite&gt;Science&lt;/cite&gt; &lt;strong&gt;307&lt;/strong&gt; (2005): 896--901
	&lt;li&gt;Kevin L. Briggman and William B. Kristan, Jr., &quot;Imaging Dedicated
and Multifunctional Neural Circuits Generating Distinct Behaviors&quot;, &lt;a
href=&quot;http://dx.doi.org/10.1523/JNEUROSCI.3265-06.2006&quot;&gt;&lt;cite&gt;The Journal of
Neuroscience&lt;/cite&gt; &lt;strong&gt;26&lt;/strong&gt; (2006): 10925--10933&lt;/a&gt;
	&lt;li&gt;Timothy J. Buschman and Earl K. Miller,
&quot;Top-Down Versus Bottom-Up Control of Attention in the Prefrontal and Posterior Parietal Cortices&quot;, &lt;a
href=&quot;http://dx.doi.org/10.1126/science.1138071&quot;&gt;&lt;Cite&gt;Science&lt;/cite&gt; &lt;strong&gt;315&lt;/strong&gt;
(2007): 1860--1862&lt;/a&gt;
	&lt;li&gt;Richard B. Buxton, &lt;cite&gt;Introduction to Functional Magnetic
Resonance Imaging: Principles and Techniques&lt;/cite&gt;
[&lt;a href=&quot;http://cambridge.org/0521581133&quot;&gt;Blurb&lt;/a&gt;]
	&lt;li&gt;John Cacioppo (ed.), &lt;cite&gt;Foundations of Social
Neuroscience&lt;/cite&gt;
	&lt;li&gt;Thomas J. Carew, &lt;cite&gt;Behavioral Neurobiology: The Cellular Organization Of Natural Behavior&lt;/cite&gt;
	&lt;li&gt;B. Cessac and M. Samuelides, &quot;From Neuron to Neural Network
Dynamics&quot;, &lt;a href=&quot;http://arxiv.org/abs/nlin.AO/0609038&quot;&gt;nlin.AO/0609038&lt;/a&gt;
	&lt;li&gt;J. S. Damoiseaux, S. A. R. B. Rombouts, F. Barkhof, C. J. Stam,
S. M. Smith and C. F. Beckmann, &quot;Consistent resting-state networks across
healthy subjects&quot;, &lt;a
href=&quot;http://dx.doi.org/10.1073/pnas.0601417103&quot;&gt;&lt;cite&gt;Proceedings of the
National Academy of Sciences&lt;/cite&gt; (USA) &lt;strong&gt;103&lt;/strong&gt; (2006):
13848--13853&lt;/a&gt;
	&lt;li&gt;Coralie de Hemptinne, Sylvie Nozaradan, Quentin Duvivier, Philippe
Lefevre, and Marcus Missal, &quot;How Do Primates Anticipate Uncertain Future
Events?&quot;,
&lt;a href=&quot;http://dx.doi.org/10.1523/JNEUROSCI.0388-07.2007&quot;&gt;&lt;cite&gt;Journal of
Neuroscience&lt;/cite&gt; &lt;strong&gt;27&lt;/strong&gt; (2007): 4334--4341&lt;/a&gt;
	&lt;li&gt;Tobias Egner and Joy Hirsch, &quot;Cognitive control mechanisms resolve
conflict through cortical amplification of task-relevant information&quot;,
&lt;a href=&quot;http://dx.doi.org/10.1038/nn1594&quot;&gt;&lt;cite&gt;Nature
Neuroscience&lt;/cite&gt; &lt;strong&gt;8&lt;/strong&gt; (2005): 1784--1790&lt;/a&gt;
	&lt;li&gt;Dean Falk and Kathleen R. Gibson (eds.), &lt;cite&gt;Evolutionary
Anatomy of the Primate Cerebral Cortex&lt;/cite&gt;
	&lt;li&gt;Leonardo Fogassi, Pier Francesco Ferrari, Benno Gesierich, Stefano
Rozzi, Fabian Chersi, and Giacomo Rizzolatti, &quot;Parietal Lobe: From Action
Organization to Intention Understanding&quot;, &lt;a
href=&quot;http://dx.doi.org/10.1126/science.1106138&quot;&gt;&lt;cite&gt;Science&lt;/cite&gt;
&lt;strong&gt;308&lt;/strong&gt; (2005): 662--667&lt;/a&gt;
	&lt;li&gt;Kevin Fox, &lt;cite&gt;Barrel Cortex&lt;/cite&gt; [&lt;a href=&quot;http://cambridge.org/9780521852173&quot;&gt;blurb&lt;/a&gt;]
	&lt;li&gt;Karl Friston, &quot;Beyond Phrenology: What Can Neuroimaging Tell Us
About Distributed Circuitry?&quot;, &lt;a
href=&quot;http://dx.doi.org/10.1146/annurev.neuro.25.112701.142846&quot;&gt;&lt;cite&gt;Annual
Review of Neuroscience&lt;/cite&gt;
&lt;strong&gt;25&lt;/strong&gt; (2002): 221--250&lt;/a&gt;
	&lt;li&gt;Robert F. Goldberg, Charles A. Perfetti, Julie A. Fiez and Walter
Schneider, &quot;Selective Retrieval of Abstract Semantic Knowledge in Left
Prefrontal
Cortex&quot;, &lt;a href=&quot;http://dx.doi.org/10.1523/JNEUROSCI.2381-06.2007&quot;&gt;&lt;cite&gt;The
Journal of Neuroscience&lt;/cite&gt; &lt;strong&gt;27&lt;/strong&gt; (2007): 3790--3798
	&lt;li&gt;Ralph J. Greenspan, &lt;cite&gt;An Introduction to Nervous
Systems&lt;/cite&gt; [&lt;a href=&quot;http://dannyreviews.com/h/Nervous_Systems.html&quot;&gt;Review by Danny Yee&lt;/a&gt;]
	&lt;li&gt;Sten Grillner and Ann M. Graybiel (eds.), &lt;cite&gt;Microcircuits: The Interface between Neuros and
Global Brain Function&lt;/cite&gt;
	&lt;li&gt;Jin-Hee Han, Steven A. Kushner, Adelaide P. Yiu, Christy J. Cole,
Anna Matynia, Robert A. Brown, Rachael L. Neve, John F. Guzowski, Alcino
J. Silva, Sheena A. Josselyn, &quot;Neuronal Competition and Selection During Memory
Formation&quot;, &lt;a
href=&quot;http://dx.doi.org/10.1126/science.1139438&quot;&gt;&lt;cite&gt;Science&lt;/cite&gt;
&lt;strong&gt;316&lt;/strong&gt; (2007): 457--460&lt;/a&gt;
	&lt;li&gt;Christian Hlscher and Matthias Munk (eds.), &lt;cite&gt;Information
Processing by Neuronal Populations&lt;/cite&gt; [&lt;a href=&quot;http://cambridge.org/978-0-521-87303-1&quot;&gt;blurb&lt;/a&gt;]
	&lt;li&gt;Wilfrid J&amp;auml;nig, &lt;cite&gt;Integrative Action of the Autonomic
Nervous System: Neurobiology of Homeostasis&lt;/cite&gt;
[&lt;a href=&quot;http://www.cambridge.org/0521845181&quot;&gt;Blurb&lt;/a&gt;]
	&lt;li&gt;Marcus Kaiser and Claus C. Hilgetag, &quot;Nonoptimal Component
Placement, but Short Processing Paths, due to Long-Distance Projections in
Neural Systems&quot;, &lt;a
href=&quot;http://arxiv.org/abs/q-bio.NC/0607034&quot;&gt;q-bio.NC/0607034&lt;/a&gt; = 
&lt;a href=&quot;http://dx.doi.org/10%2E1371/journal%2Epcbi%2E0020095&quot;&gt;&lt;cite&gt;PLoS
Computational Biology&lt;/cite&gt; &lt;strong&gt;2&lt;/strong&gt; (2006): e95&lt;/a&gt;
	&lt;li&gt;Dharshan Kumaran and Eleanor A. Maguire, &quot;The Human Hippocampus:
Cognitive Maps or Relational Memory?&quot;, &lt;a
href=&quot;http://dx.doi.org/10.1523/JNEUROSCI.1103-05.2005&quot;&gt;&lt;cite&gt;The Journal of
Neuroscience&lt;/cite&gt; &lt;strong&gt;25&lt;/strong&gt; (2005): 7254--7259&lt;/a&gt; [&quot;..the
relational processing involved in navigating in a city was matched with similar
navigational and relational processing demands in a nonspatial (social)
domain. ... [P]articipants determined the optimal route either between friends'
homes or between the friends themselves using social connections. Separate
brain networks were engaged preferentially during the two tasks, with
hippocampal activation driven only by spatial relational processing. ...  [T]he
human hippocampus appears to have a bias toward the processing of spatial
relationships, in accordance with the cognitive map theory. Our results both
advance our understanding of the nature of the hippocampal contribution to
memory and provide insights into how social networks are instantiated at the
neural level.&quot;]
	&lt;li&gt;Laberge, &lt;cite&gt;Attentional Processing: The Brain's Art of
Mindfulness&lt;/cite&gt;
	&lt;li&gt;Peter E. Latham and Sheila Nirenberg, &quot;Computing and Stability in
Cortical Networks&quot;, &lt;a
href=&quot;http://neco.mitpress.org/cgi/content/abstract/16/7/1385&quot;&gt;&lt;cite&gt;Neural
Computation&lt;/cite&gt; &lt;strong&gt;16&lt;/strong&gt; (2004): 1385--1412&lt;/a&gt; [&quot;Cortical
neurons are predominantly excitatory and highly interconnected. In spite of
this, the cortex is remarkably stable: normal brains do not exhibit the kind of
runaway excitation one might expect of such a system. How does the cortex
maintain stability in the face of this massive excitatory feedback? More
importantly, how does it do so during computations, which necessarily involve
elevated firing rates? Here we address these questions in the context of
attractor networks &amp;mdash; networks that exhibit multiple stable states, or
memories. We find that such networks can be stabilized at the relatively low
firing rates observed in vivo if two conditions are met: (1) the background
state, where all neurons are firing at low rates, is inhibition dominated, and
(2) the fraction of neurons involved in a memory is above some threshold, so
that there is sufficient coupling between the memory neurons and the
background. This allows 'dynamical stabilization' of the attractors, meaning
feedback from the pool of background neurons stabilizes what would otherwise be
an unstable state. We suggest that dynamical stabilization may be a strategy
used for a broad range of computations, not just those involving attractors.&quot;]
	&lt;li&gt;R. Levinson, &quot;A Computer Model of Prefrontal Cortex Function,&quot; in
Jordan Grafman, Keith J. Holyoak, and Francois Boller (eds.), &lt;cite&gt;Structure
and Functions of the Human Prefrontal Cortex,&lt;/cite&gt; Annals of the New York
Academy of Sciences, Vol. 769 (1995)
	&lt;li&gt;Tiago V. Maia and Axel Cleeremans, &quot;Consciousness: converging
insights from connectionist modeling and neuroscience&quot;, &lt;a
href=&quot;http://dx.doi.org/10.1016/j.tics.2005.06.016&quot;&gt;&lt;cite&gt;Trends in Cognitive
Sciences&lt;/cite&gt; &lt;strong&gt;9&lt;/strong&gt; (2005): 397--404&lt;/a&gt; [&quot;Over the past decade,
many findings in cognitive neuroscience have resulted in the view that
selective attention, working memory and cognitive control involve competition
between widely distributed representations. This competition is biased by
top-down projections (notably from prefrontal cortex), which can selectively
enhance some representations over others. This view has now been implemented in
several connectionist models. In this review, we emphasize the relevance of
these models to understanding consciousness. Interestingly, the models we
review have striking similarities to others directly aimed at implementing
'global workspace theory'. All of these models embody a fundamental principle
that has been used in many connectionist models over the past twenty years:
global constraint satisfaction.&quot;]
	&lt;li&gt;Malia F. Mason, Michael I. Norton, John D. Van Horn, Daniel
M. Wegner, Scott T. Grafton and C. Neil Macra, &quot;Wandering Minds: The Default
Network and Stimulus-Independent
Thought&quot;, &lt;a
href=&quot;http://dx.doi.org/10.1126/science.1131295&quot;&gt;&lt;cite&gt;Science&lt;/cite&gt; &lt;strong&gt;315&lt;/strong&gt;
(2007): 393--395&lt;/a&gt;
	&lt;li&gt;Yasushi Miyashita, &quot;Cognitive Memory: Cellular and Network
Machineries and Their Top-Down Control&quot;, &lt;a
href=&quot;http://dx.doi.org/10.1126/science.1101864&quot;&gt;&lt;citE&gt;Science&lt;/cite&gt;
&lt;strong&gt;306&lt;/strong&gt; (2004): 435--440&lt;/a&gt;
	&lt;li&gt;Bruno A. Olshausen and David J. Field, &quot;How Close Are We to
Understanding V1?&quot;, &lt;a
href=&quot;http://neco.mitpress.org/cgi/content/abstract/17/8/1665&quot;&gt;&lt;cite&gt;Neural
Computation&lt;/cite&gt; &lt;strong&gt;17&lt;/strong&gt; (2005): 1665--1699&lt;/a&gt;
	&lt;li&gt;Raja Parasuraman (ed.), &lt;cite&gt;The Attentive Brain&lt;/cite&gt;
[&lt;a href=&quot;http://mitpress.mit.edu/9780262661126&quot;&gt;blurb&lt;/a&gt;]
	&lt;li&gt;R. A. Poldrack, J. Clark, E. J. Par&amp;eacute;-Blagoev, D. Shohamy,
J. Creso Moyano, C. Myers and M. A. Gluck, &quot;Interactive memory systems in the
human brain,&quot; &lt;cite&gt;Nature&lt;/cite&gt; &lt;strong&gt;414&lt;/strong&gt; (2001): 546--550
	&lt;li&gt;Mikhail I. Rabinovich, Pablo Varona, Allen I. Selverston, and Henry
D. I. Abarbanel, &quot;Dynamical principles in
neuroscience&quot;, &lt;a
href=&quot;http://dx.doi.org/10.1103/RevModPhys.78.1213&quot;&gt;&lt;cite&gt;Reviews of Modern
Physics&lt;/cite&gt; &lt;strong&gt;78&lt;/strong&gt; (2006): 1213&lt;/a&gt;
	&lt;li&gt;K. Richard Ridderinkhof, Markus Ullsperger, Eveline A. Crone and
Sander Niewenhuis, &quot;The Role of the Medial Frontal Cortex in Cognitive
Control&quot;, &lt;a
href=&quot;http://dx.doi.org/10.1126/science.1100301&quot;&gt;&lt;cite&gt;Science&lt;/cite&gt;
&lt;strong&gt;306&lt;/strong&gt; (2004): 443--447&lt;/a&gt;
	&lt;li&gt;Yasser Roudi and Peter E. Latham, &quot;A balanced memory network&quot;,
&lt;a href=&quot;http://arxiv.org/abs/0704.3005&quot;&gt;arxiv:0704.3005&lt;/a&gt;
	&lt;li&gt;Elad Schneidman, Michael J. Berry II, Ronen Segev and William
Bialek, &quot;Weak pairwise correlations imply strongly correlated
network states in a neural population&quot;, &lt;a href=&quot;http://dx.doi.org/10.1038/nature04701&quot;&gt;&lt;cite&gt;Nature&lt;/cite&gt; &lt;strong&gt;440&lt;/strong&gt;
(2006): 1007--1012&lt;/a&gt;
	&lt;li&gt;Aleen I. Selverston and Maurice Moulins (eds.), &lt;cite&gt;The
Crustacean Stomatogastric System&lt;/cite&gt; [&lt;a
href=&quot;http://stg.rutgers.edu/stgrefs/stg_library/TheGreenBook/&quot;&gt;scanned
PDFs&lt;/a&gt;]
	&lt;li&gt;Gordon Shepherd (ed.), &lt;cite&gt;The Synaptic Organization of the 
Brain&lt;/cite&gt;
	&lt;li&gt;Stewart Shipp, &quot;The brain circuitry of attention&quot;, &lt;a
href=&quot;http://dx.doi.org/10.1016/j.tics.2004.03.004&quot;&gt;&lt;cite&gt;Trends in Cognitive
Sciences&lt;/cite&gt; &lt;strong&gt;8&lt;/strong&gt; (2004): 223--230&lt;/a&gt;
	&lt;li&gt;John Smythies, &lt;cite&gt;The Dynamic Neuron&lt;/citE&gt; [&quot;a comprehensive
account of our current knowledge of the neurochemical basis of synaptic
plasticity&quot;; &lt;a href=&quot;http://mitpress.mit.edu/0262194732&quot;&gt;blurb&lt;/a&gt;]
	&lt;li&gt;Ivan Sltesz, &lt;cite&gt;Diversity in the Neuronal Machine:
Order and Variability in Interneuronal Microcircuits&lt;/cite&gt;
	&lt;li&gt;Olaf Sporns and Giulio Tononi, &quot;Strucutral Determinants of Functional Brain Dynamics&quot;
	&lt;li&gt;Joan Stiles, &lt;cite&gt;The Fundamentals of Brain Development:
Integrating Nature and Nurture&lt;/cite&gt; [&lt;a href=&quot;http://www.hup.harvard.edu/catalog/STIBAS.html&quot;&gt;Blurb&lt;/a&gt;]
	&lt;li&gt;Georg F. Striedter
		&lt;ul&gt;
		&lt;li&gt;&quot;Precis of &lt;cite&gt;Principles of Brain Evolution&lt;/cite&gt;&quot;,
&lt;a href=&quot;http://dx.doi.org/10.1017/S0140525X06009010&quot;&gt;&lt;cite&gt;Behavioral and
Brain Sciences&lt;/cite&gt; &lt;strong&gt;29&lt;/strong&gt; (2006): 1--12&lt;/a&gt; [With extensive
peer commentary following]
		&lt;li&gt;&lt;cite&gt;Principles of Brain Evolution&lt;/cite&gt;
		&lt;/ul&gt;
	&lt;li&gt;Roger D. Traub and Richard Miles, &lt;cite&gt;Neuronal Networks
of the Hippcampus&lt;/citE&gt; [&lt;a href=&quot;http://cambridge.org/9780521063319&quot;&gt;blurb&lt;/a&gt;]
	&lt;li&gt;Frank van der Velde and Marc de Kamps, &quot;Neural blackboard
architectures of combinatorial structures in cognition&quot;, &lt;a
href=&quot;http://dx.doi.org/10.1017/S0140525X06009022&quot;&gt;&lt;cite&gt;Behavioral and Brain
Sciences&lt;/cite&gt; &lt;strong&gt;29&lt;/strong&gt; (2006): 37--70&lt;/a&gt; [+ peer commentary]
	&lt;li&gt;Edward K. Vogel, Andrew W. McColough and Maro G. Machizawa, &quot;Neural
measures reveal individual differences in controlling access to working
memory&quot;, &lt;a
href=&quot;http://dx.doi.org/10.1038/nature04171&quot;&gt;&lt;cite&gt;Nature&lt;/cite&gt;
&lt;strong&gt;438&lt;/strong&gt; (2005): 500--503&lt;/a&gt;
	&lt;li&gt;Ajai Vyas, Seon-Kyeong Kim, Nicholas Giacomini, John C. Boothroyd,
and Robert M. Sapolsky, &quot;Behavioral changes induced by &lt;em&gt;Toxoplasma&lt;/em&gt;
infection of rodents are highly specific to aversion of cat
odors&quot;, &lt;a href=&quot;http://dx.doi.org/10.1073/pnas.0608310104&quot;&gt;&lt;cite&gt;Proceedings
of the National Academy of Sciences&lt;/cite&gt; (USA)
&lt;strong&gt;104&lt;/strong&gt; (2007): 6442--6447&lt;/a&gt;
	&lt;li&gt;Elizabeth A. Wilson, &lt;citE&gt;Psychosomatic: Feminism and the
Neurological Body&lt;/cite&gt;
	&lt;/ul&gt;
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