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  1. Article: Is predictive coding theory articulated enough to be testable?

    Kogo, Naoki / Trengove, Chris

    Frontiers in computational neuroscience

    2015  Volume 9, Page(s) 111

    Language English
    Publishing date 2015-09-08
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2452964-3
    ISSN 1662-5188
    ISSN 1662-5188
    DOI 10.3389/fncom.2015.00111
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Storage capacity of a superposition of synfire chains using conductance-based integrate-and-fire neurons

    Trengove Chris

    BMC Neuroscience, Vol 8, Iss Suppl 2, p P

    2007  Volume 67

    Keywords Neurosciences. Biological psychiatry. Neuropsychiatry ; RC321-571 ; Internal medicine ; RC31-1245 ; Medicine ; R ; DOAJ:Neurology ; DOAJ:Medicine (General) ; DOAJ:Health Sciences ; Neurophysiology and neuropsychology ; QP351-495
    Language English
    Publishing date 2007-07-01T00:00:00Z
    Publisher BioMed Central
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Article ; Online: Dynamic effective connectivity in cortically embedded systems of recurrently coupled synfire chains.

    Trengove, Chris / Diesmann, Markus / van Leeuwen, Cees

    Journal of computational neuroscience

    2016  Volume 40, Issue 1, Page(s) 1–26

    Abstract: As a candidate mechanism of neural representation, large numbers of synfire chains can efficiently be embedded in a balanced recurrent cortical network model. Here we study a model in which multiple synfire chains of variable strength are randomly ... ...

    Abstract As a candidate mechanism of neural representation, large numbers of synfire chains can efficiently be embedded in a balanced recurrent cortical network model. Here we study a model in which multiple synfire chains of variable strength are randomly coupled together to form a recurrent system. The system can be implemented both as a large-scale network of integrate-and-fire neurons and as a reduced model. The latter has binary-state pools as basic units but is otherwise isomorphic to the large-scale model, and provides an efficient tool for studying its behavior. Both the large-scale system and its reduced counterpart are able to sustain ongoing endogenous activity in the form of synfire waves, the proliferation of which is regulated by negative feedback caused by collateral noise. Within this equilibrium, diverse repertoires of ongoing activity are observed, including meta-stability and multiple steady states. These states arise in concert with an effective connectivity structure (ECS). The ECS admits a family of effective connectivity graphs (ECGs), parametrized by the mean global activity level. Of these graphs, the strongly connected components and their associated out-components account to a large extent for the observed steady states of the system. These results imply a notion of dynamic effective connectivity as governing neural computation with synfire chains, and related forms of cortical circuitry with complex topologies.
    MeSH term(s) Action Potentials/physiology ; Computer Simulation ; Humans ; Models, Neurological ; Nerve Net/physiology ; Neurons/physiology ; Nonlinear Dynamics ; Probability ; Synapses/physiology
    Language English
    Publishing date 2016-02
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 1230659-9
    ISSN 1573-6873 ; 0929-5313
    ISSN (online) 1573-6873
    ISSN 0929-5313
    DOI 10.1007/s10827-015-0581-5
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Donders is dead: cortical traveling waves and the limits of mental chronometry in cognitive neuroscience.

    Alexander, David M / Trengove, Chris / van Leeuwen, Cees

    Cognitive processing

    2015  Volume 16, Issue 4, Page(s) 365–375

    Abstract: An assumption nearly all researchers in cognitive neuroscience tacitly adhere to is that of space-time separability. Historically, it forms the basis of Donders' difference method, and to date, it underwrites all difference imaging and trial-averaging of ...

    Abstract An assumption nearly all researchers in cognitive neuroscience tacitly adhere to is that of space-time separability. Historically, it forms the basis of Donders' difference method, and to date, it underwrites all difference imaging and trial-averaging of cortical activity, including the customary techniques for analyzing fMRI and EEG/MEG data. We describe the assumption and how it licenses common methods in cognitive neuroscience; in particular, we show how it plays out in signal differencing and averaging, and how it misleads us into seeing the brain as a set of static activity sources. In fact, rather than being static, the domains of cortical activity change from moment to moment: Recent research has suggested the importance of traveling waves of activation in the cortex. Traveling waves have been described at a range of different spatial scales in the cortex; they explain a large proportion of the variance in phase measurements of EEG, MEG and ECoG, and are important for understanding cortical function. Critically, traveling waves are not space-time separable. Their prominence suggests that the correct frame of reference for analyzing cortical activity is the dynamical trajectory of the system, rather than the time and space coordinates of measurements. We illustrate what the failure of space-time separability implies for cortical activation, and what consequences this should have for cognitive neuroscience.
    MeSH term(s) Brain Mapping ; Brain Waves/physiology ; Cerebral Cortex/blood supply ; Cerebral Cortex/physiology ; Cognitive Neuroscience/history ; Electroencephalography ; History, 19th Century ; Humans ; Image Processing, Computer-Assisted ; Magnetic Resonance Imaging ; Magnetoencephalography ; Mental Processes/physiology
    Language English
    Publishing date 2015-11
    Publishing country Germany
    Document type Historical Article ; Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2075054-7
    ISSN 1612-4790 ; 1612-4782
    ISSN (online) 1612-4790
    ISSN 1612-4782
    DOI 10.1007/s10339-015-0662-4
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Self-organisation of small-world networks by adaptive rewiring in response to graph diffusion.

    Jarman, Nicholas / Steur, Erik / Trengove, Chris / Tyukin, Ivan Y / van Leeuwen, Cees

    Scientific reports

    2017  Volume 7, Issue 1, Page(s) 13158

    Abstract: Complex networks emerging in natural and human-made systems tend to assume small-world structure. Is there a common mechanism underlying their self-organisation? Our computational simulations show that network diffusion (traffic flow or information ... ...

    Abstract Complex networks emerging in natural and human-made systems tend to assume small-world structure. Is there a common mechanism underlying their self-organisation? Our computational simulations show that network diffusion (traffic flow or information transfer) steers network evolution towards emergence of complex network structures. The emergence is effectuated through adaptive rewiring: progressive adaptation of structure to use, creating short-cuts where network diffusion is intensive while annihilating underused connections. With adaptive rewiring as the engine of universal small-worldness, overall diffusion rate tunes the systems' adaptation, biasing local or global connectivity patterns. Whereas the former leads to modularity, the latter provides a preferential attachment regime. As the latter sets in, the resulting small-world structures undergo a critical shift from modular (decentralised) to centralised ones. At the transition point, network structure is hierarchical, balancing modularity and centrality - a characteristic feature found in, for instance, the human brain.
    Language English
    Publishing date 2017-10-13
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2615211-3
    ISSN 2045-2322 ; 2045-2322
    ISSN (online) 2045-2322
    ISSN 2045-2322
    DOI 10.1038/s41598-017-12589-9
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: High-capacity embedding of synfire chains in a cortical network model.

    Trengove, Chris / van Leeuwen, Cees / Diesmann, Markus

    Journal of computational neuroscience

    2012  Volume 34, Issue 2, Page(s) 185–209

    Abstract: Synfire chains, sequences of pools linked by feedforward connections, support the propagation of precisely timed spike sequences, or synfire waves. An important question remains, how synfire chains can efficiently be embedded in cortical architecture. We ...

    Abstract Synfire chains, sequences of pools linked by feedforward connections, support the propagation of precisely timed spike sequences, or synfire waves. An important question remains, how synfire chains can efficiently be embedded in cortical architecture. We present a model of synfire chain embedding in a cortical scale recurrent network using conductance-based synapses, balanced chains, and variable transmission delays. The network attains substantially higher embedding capacities than previous spiking neuron models and allows all its connections to be used for embedding. The number of waves in the model is regulated by recurrent background noise. We computationally explore the embedding capacity limit, and use a mean field analysis to describe the equilibrium state. Simulations confirm the mean field analysis over broad ranges of pool sizes and connectivity levels; the number of pools embedded in the system trades off against the firing rate and the number of waves. An optimal inhibition level balances the conflicting requirements of stable synfire propagation and limited response to background noise. A simplified analysis shows that the present conductance-based synapses achieve higher contrast between the responses to synfire input and background noise compared to current-based synapses, while regulation of wave numbers is traced to the use of variable transmission delays.
    MeSH term(s) Action Potentials/physiology ; Cerebral Cortex/cytology ; Computer Simulation ; Electric Capacitance ; Humans ; Models, Neurological ; Nerve Net/physiology ; Neurons/physiology ; Stochastic Processes ; Synapses/physiology
    Language English
    Publishing date 2012-08-11
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 1230659-9
    ISSN 1573-6873 ; 0929-5313
    ISSN (online) 1573-6873
    ISSN 0929-5313
    DOI 10.1007/s10827-012-0413-9
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Self-organisation of small-world networks by adaptive rewiring in response to graph diffusion

    Nicholas Jarman / Erik Steur / Chris Trengove / Ivan Y. Tyukin / Cees van Leeuwen

    Scientific Reports, Vol 7, Iss 1, Pp 1-

    2017  Volume 9

    Abstract: Abstract Complex networks emerging in natural and human-made systems tend to assume small-world structure. Is there a common mechanism underlying their self-organisation? Our computational simulations show that network diffusion (traffic flow or ... ...

    Abstract Abstract Complex networks emerging in natural and human-made systems tend to assume small-world structure. Is there a common mechanism underlying their self-organisation? Our computational simulations show that network diffusion (traffic flow or information transfer) steers network evolution towards emergence of complex network structures. The emergence is effectuated through adaptive rewiring: progressive adaptation of structure to use, creating short-cuts where network diffusion is intensive while annihilating underused connections. With adaptive rewiring as the engine of universal small-worldness, overall diffusion rate tunes the systems’ adaptation, biasing local or global connectivity patterns. Whereas the former leads to modularity, the latter provides a preferential attachment regime. As the latter sets in, the resulting small-world structures undergo a critical shift from modular (decentralised) to centralised ones. At the transition point, network structure is hierarchical, balancing modularity and centrality - a characteristic feature found in, for instance, the human brain.
    Keywords Medicine ; R ; Science ; Q
    Subject code 000
    Language English
    Publishing date 2017-10-01T00:00:00Z
    Publisher Nature Publishing Group
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  8. Article ; Online: The Influence of Blood Removal on Pacing During a 4-Minute Cycling Time Trial.

    Lawler, Nathan G / Abbiss, Chris R / Raman, Aaron / Fairchild, Timothy J / Maker, Garth L / Trengove, Robert D / Peiffer, Jeremiah J

    International journal of sports physiology and performance

    2017  Volume 12, Issue 8, Page(s) 1085–1092

    Abstract: Purpose: To examine the influence of manipulating aerobic contribution after whole-blood removal on pacing patterns, performance, and energy contribution during self-paced middle-distance cycling.: Methods: Seven male cyclists (33 ± 8 y) completed an ...

    Abstract Purpose: To examine the influence of manipulating aerobic contribution after whole-blood removal on pacing patterns, performance, and energy contribution during self-paced middle-distance cycling.
    Methods: Seven male cyclists (33 ± 8 y) completed an incremental cycling test followed 20 min later by a 4-min self-paced cycling time trial (4MMP) on 6 separate occasions over 42 d. The initial 2 sessions acted as familiarization and baseline testing, after which 470 mL of blood was removed, with the remaining sessions performed 24 h, 7 d, 21 d, and 42 d after blood removal. During all 4MMP trials, power output, oxygen uptake, and aerobic and anaerobic contribution to power were determined.
    Results: 4MMP average power output significantly decreased by 7% ± 6%, 6% ± 8%, and 4% ± 6% at 24 h, 7 d, and 21 d after blood removal, respectively. Compared with baseline, aerobic contribution during the 4MMP was significantly reduced by 5% ± 4%, 4% ± 5%, and 4% ± 10% at 24 h, 7 d, and 21 d, respectively. The rate of decline in power output on commencement of the 4MMP was significantly attenuated and was 76% ± 20%, 72% ± 24%, and 75% ± 35% lower than baseline at 24 h, 21 d, and 42 d, respectively.
    Conclusion: Removal of 470 mL of blood reduces aerobic energy contribution, alters pacing patterns, and decreases performance during self-paced cycling. These findings indicate the importance of aerobic energy distribution during self-paced middle-distance events.
    Language English
    Publishing date 2017-09
    Publishing country United States
    Document type Journal Article
    ISSN 1555-0273
    ISSN (online) 1555-0273
    DOI 10.1123/ijspp.2015-0778
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article: Spatially constrained adaptive rewiring in cortical networks creates spatially modular small world architectures.

    Jarman, Nicholas / Trengove, Chris / Steur, Erik / Tyukin, Ivan / van Leeuwen, Cees

    Cognitive neurodynamics

    2014  Volume 8, Issue 6, Page(s) 479–497

    Abstract: A modular small-world topology in functional and anatomical networks of the cortex is eminently suitable as an information processing architecture. This structure was shown in model studies to arise adaptively; it emerges through rewiring of network ... ...

    Abstract A modular small-world topology in functional and anatomical networks of the cortex is eminently suitable as an information processing architecture. This structure was shown in model studies to arise adaptively; it emerges through rewiring of network connections according to patterns of synchrony in ongoing oscillatory neural activity. However, in order to improve the applicability of such models to the cortex, spatial characteristics of cortical connectivity need to be respected, which were previously neglected. For this purpose we consider networks endowed with a metric by embedding them into a physical space. We provide an adaptive rewiring model with a spatial distance function and a corresponding spatially local rewiring bias. The spatially constrained adaptive rewiring principle is able to steer the evolving network topology to small world status, even more consistently so than without spatial constraints. Locally biased adaptive rewiring results in a spatial layout of the connectivity structure, in which topologically segregated modules correspond to spatially segregated regions, and these regions are linked by long-range connections. The principle of locally biased adaptive rewiring, thus, may explain both the topological connectivity structure and spatial distribution of connections between neuronal units in a large-scale cortical architecture.
    Language English
    Publishing date 2014-04-02
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 2276890-7
    ISSN 1871-4099 ; 1871-4080
    ISSN (online) 1871-4099
    ISSN 1871-4080
    DOI 10.1007/s11571-014-9288-y
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Transmission of spiking-rate information through layered networks

    Burkitt Anthony N / Trengove Chris

    BMC Neuroscience, Vol 8, Iss Suppl 2, p P

    the role of recurrent and feedback connections

    2007  Volume 24

    Keywords Neurosciences. Biological psychiatry. Neuropsychiatry ; RC321-571 ; Internal medicine ; RC31-1245 ; Medicine ; R ; DOAJ:Neurology ; DOAJ:Medicine (General) ; DOAJ:Health Sciences ; Neurophysiology and neuropsychology ; QP351-495
    Language English
    Publishing date 2007-07-01T00:00:00Z
    Publisher BioMed Central
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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