Literature DB >> 17692925

Neural networks a century after Cajal.

Walter J Jermakowicz1, Vivien A Casagrande.   

Abstract

At the time of Golgi and Cajal's reception of the Nobel Prize in 1906 most scientists had accepted the notion that neurons are independent units. Although neuroscientists today still believe that neurons are independent anatomical units, functionally, it is thought that some sort of population coding occurs. Throughout this essay, we provide evidence that suggests that populations of neurons can code information through the synchronization of their responses. This synchronization occurs at several levels in the brain. Whereas spike synchrony refers to the correlation between spikes of different neurons' spike trains, oscillatory synchrony refers to the synchronization of oscillatory responses, generally among large groups of neurons. In the first section of this essay we describe the dependence of the brain's developmental processes on synchronous firing and how these processes form a brain that supports and is sensitive to synchronous spikes. Data are then presented that suggest that spike and oscillatory synchrony may serve as useful neural codes. Examples from sensory (auditory, olfactory and somatosensory), motor and higher cognitive (attention, memory) systems are then presented to illustrate potential roles for these synchronous codes in normal brain function. Results from these studies collectively suggest that spike synchrony in sensory and motor systems may provide detail information not available from changes in firing rate. Oscillatory synchrony, on the other hand, may be globally involved in the coordination of long-distance neuronal communication during higher cognitive processes. These concepts represent a dramatic shift in direction since the times of Golgi and Cajal.

Mesh:

Year:  2007        PMID: 17692925      PMCID: PMC2101763          DOI: 10.1016/j.brainresrev.2007.06.003

Source DB:  PubMed          Journal:  Brain Res Rev        ISSN: 0165-0173


  198 in total

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Authors:  Ben J A Palanca; Gregory C DeAngelis
Journal:  Neuron       Date:  2005-04-21       Impact factor: 17.173

3.  Stimulus dependence of neuronal correlation in primary visual cortex of the macaque.

Authors:  Adam Kohn; Matthew A Smith
Journal:  J Neurosci       Date:  2005-04-06       Impact factor: 6.167

4.  Passive soma facilitates submillisecond coincidence detection in the owl's auditory system.

Authors:  Go Ashida; Kousuke Abe; Kazuo Funabiki; Masakazu Konishi
Journal:  J Neurophysiol       Date:  2006-11-29       Impact factor: 2.714

5.  Neuronal synchrony does not represent texture segregation.

Authors:  V A Lamme; H Spekreijse
Journal:  Nature       Date:  1998-11-26       Impact factor: 49.962

6.  Odour encoding by temporal sequences of firing in oscillating neural assemblies.

Authors:  M Wehr; G Laurent
Journal:  Nature       Date:  1996-11-14       Impact factor: 49.962

7.  Chaos and synchrony in a model of a hypercolumn in visual cortex.

Authors:  D Hansel; H Sompolinsky
Journal:  J Comput Neurosci       Date:  1996-03       Impact factor: 1.621

8.  Visual properties of neurons in area V4 of the macaque: sensitivity to stimulus form.

Authors:  R Desimone; S J Schein
Journal:  J Neurophysiol       Date:  1987-03       Impact factor: 2.714

9.  Intrinsic laminar lattice connections in primate visual cortex.

Authors:  K S Rockland; J S Lund
Journal:  J Comp Neurol       Date:  1983-05-20       Impact factor: 3.215

10.  Synchronization of neurons during local field potential oscillations in sensorimotor cortex of awake monkeys.

Authors:  V N Murthy; E E Fetz
Journal:  J Neurophysiol       Date:  1996-12       Impact factor: 2.714

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  8 in total

1.  On the role of synchrony for neuron-astrocyte interactions and perceptual conscious processing.

Authors:  Alfredo Pereira; Fábio Augusto Furlan
Journal:  J Biol Phys       Date:  2009-04-15       Impact factor: 1.365

2.  Brain-state-independent neural representation of peripheral stimulation in rat olfactory bulb.

Authors:  Anan Li; Ling Gong; Fuqiang Xu
Journal:  Proc Natl Acad Sci U S A       Date:  2011-02-14       Impact factor: 11.205

3.  Synergistic Coding by Cortical Neural Ensembles.

Authors:  Mehdi Aghagolzadeh; Seif Eldawlatly; Karim Oweiss
Journal:  IEEE Trans Inf Theory       Date:  2010-02-01       Impact factor: 2.501

4.  Effects of spatiotemporal stimulus properties on spike timing correlations in owl monkey primary somatosensory cortex.

Authors:  Jamie L Reed; Pierre Pouget; Hui-Xin Qi; Zhiyi Zhou; Melanie R Bernard; Mark J Burish; Jon H Kaas
Journal:  J Neurophysiol       Date:  2012-09-26       Impact factor: 2.714

5.  Commentary: Feedback stabilizes propagation of synchronous spiking in cortical neural networks.

Authors:  Enric Claverol-Tinturé; Guenter Gross
Journal:  Front Comput Neurosci       Date:  2015-06-10       Impact factor: 2.380

6.  Neuronal Cells Rearrangement During Aging and Neurodegenerative Disease: Metabolism, Oxidative Stress and Organelles Dynamic.

Authors:  Vanessa Castelli; Elisabetta Benedetti; Andrea Antonosante; Mariano Catanesi; Giuseppina Pitari; Rodolfo Ippoliti; Annamaria Cimini; Michele d'Angelo
Journal:  Front Mol Neurosci       Date:  2019-05-28       Impact factor: 5.639

Review 7.  Towards the Idea of Molecular Brains.

Authors:  Youri Timsit; Sergeant-Perthuis Grégoire
Journal:  Int J Mol Sci       Date:  2021-11-01       Impact factor: 5.923

Review 8.  Convergent approaches toward the study of multisensory perception.

Authors:  Diana K Sarko; Dipanwita Ghose; Mark T Wallace
Journal:  Front Syst Neurosci       Date:  2013-11-08
  8 in total

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