A model of computation in neocortical architecture

Körner, Edgar; Gewaltig, Marc‐Oliver; Körner, Ursula; Richter, Andreas; Rodemann, Tobias

doi:10.1016/s0893-6080(99)00049-0

Cited by 65 publications

(40 citation statements)

References 78 publications

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“…However, the ability to synchronize fast frequency responses may reflect processing abilities that are not identical to those indexed by power values (Yordanova et al, 2002). For example, recent models of visual processing highlight the importance of rapid feedback signals in early vision (Bullier, 2001;Körner et al, 1999;Lamme and Roelfsema, 2000). Concerning evoked gammaband responses, the ''match-and-utilization model'' (MUM) by Herrmann and colleagues suggests that visual input into early extrastriate cortex leads to rapid activation of higher visual areas in occipito-temporal cortex (e.g., V4), where perceptual memory representations are stored in the form of enhanced synaptic connections between and within visual areas.…”

Section: Effects Of Increasing Stimulus Size On Evoked Gamma Power Anmentioning

confidence: 99%

EEG gamma-band synchronization in visual coding from childhood to old age: Evidence from evoked power and inter-trial phase locking

Werkle‐Bergner

Shing

Müller

et al. 2009

Clinical Neurophysiology

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a b s t r a c tObjective: To investigate lifespan age differences in neuronal mechanisms of visual coding in the context of perceptual discrimination. Methods: We recorded EEG from 17 children (10-12 years), 16 younger adults (20-26 years), and 17 older adults (70-76 years) during a simple choice-reaction task requiring discrimination of squares and circles of different sizes. We examined age-group differences in the effect of stimulus size on early ERP components, evoked gamma-band power, and inter-trial phase-stability in the gamma band as assessed by the phase-locking index (PLI). Results: In the absence of age differences in discrimination accuracy, we observed reliable age differences in patterns of ERP, evoked gamma power, and PLI. P1 and N1 peak amplitudes were larger and the peak latencies longer in children than in adults. Children also showed lower levels of evoked power and PLI than adults. Older adults showed smaller increments in evoked power with increasing stimulus size than younger adults, but similar amounts of phase locking for small-and medium-sized stimuli as younger adults. Conclusions: The relative importance of different coding mechanisms in early visual areas changes from childhood to old age. Due to synaptic overproduction and immature myelination, the visual system of children is less entrained by incoming information, resulting in less synchronized neuronal responses. Adults primarily rely on sparse representations formed through experience-dependent temporally synchronized neuronal interactions. In old age, senescent decline in neuronal density and neurotransmitter availability further increase the reliance on temporally synchronized processing. Significance: Findings from this study defy the notion that sensory aging consists in a reversal of sensory development in childhood, and point to a high degree of age specificity in mechanisms of visual coding.

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Section: Effects Of Increasing Stimulus Size On Evoked Gamma Power Anmentioning

confidence: 99%

EEG gamma-band synchronization in visual coding from childhood to old age: Evidence from evoked power and inter-trial phase locking

Werkle‐Bergner

Shing

Müller

et al. 2009

Clinical Neurophysiology

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“…However, it may be shifted in time for the different layers of the network, and it does not have an effect on all columns. In (Körner et al 1999) the source of a fast and global modulatory signal to the cortex is discussed as the intralaminar nuclei of thalamus. For ν = 0, there is no competition, and (2.1) simplifies to…”

Section: A Model Of the Cortical Columnmentioning

confidence: 99%

Information Routing, Correspondence Finding, and Object Recognition in the Brain

Wolfrum¹

2010

Studies in Computational Intelligence

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This work would not have been possible without the people I have had the honor of working with over the past years. First of all I want to thank Christoph von der Malsburg, whose scientific concepts have inspired large parts of this thesis, and who granted me enough freedom to follow my own research directions while at the same time providing motivation whenever this was necessary. I also thank Rudolf Mester for good discussions that helped me retain my engineering viewpoint on the interdisciplinary problems that I worked on. Discussions with Geoff Goodhill, Bruno Olshausen, Jochen Triesch, and Alan Yuille, among others, have shaped my thinking and had an important impact on this thesis.I thank Urs Bergmann, Jenia Jitsev, and Junmei Zhu for proof-reading parts of the thesis, and Jörg Lücke for good collaboration. The neurogroups at FIAS have provided a rich and stimulating environment, it has been fun working and thinking with you! I also thank all colleagues at FIAS for good company and the truly interdisciplinary interaction we had (e.g. at Hirschegg). Last but not least I owe this thesis to my parents, who planted curiosity and a desire for understanding in me that were stronger than the difficulties I met during this dissertation. iv

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“…Many studies have laid emphasis on the cortical column, seen as the elementary computing block of the cortex [8,23,4,16,20]. The cortical column is perpendicular to the surface of the cortex and goes through the six layers of the cortex.…”

Section: Principles Of Local Distributed Computationmentioning

confidence: 99%

“…The interplay between these information flows is the basis of neural field approaches developed by many authors [36,32,3,29]. Others have proposed a cortical automaton including several inputs and outputs and internal learning and functioning rules [16,2,20].…”

Section: Principles Of Local Distributed Computationmentioning

confidence: 99%

Cortical basis of communication: Local computation, coordination, attention

Alexandre

2009

Neural Networks

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Human communication emerges from cortical processing, known to be implemented on a regular repetitive neuronal substratum. The supposed genericity of cortical processing has elicited a series of modeling works in computational neuroscience that underline the information flows driven by the cortical circuitry. In the minimalist framework underlying the current theories for the embodiment of cognition, such a generic cortical processing is exploited for the coordination of poles of representation, as it is reported in this paper for the case of visual attention. Interestingly, this case emphasize how abstract internal referents are built to conform to memory requirements. This paper proposes that these referents are the basis for communication in humans, which is firstly a coordination and an attentional procedure with regard to their congeners.

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A model of computation in neocortical architecture

Cited by 65 publications

References 78 publications

EEG gamma-band synchronization in visual coding from childhood to old age: Evidence from evoked power and inter-trial phase locking

EEG gamma-band synchronization in visual coding from childhood to old age: Evidence from evoked power and inter-trial phase locking

Information Routing, Correspondence Finding, and Object Recognition in the Brain

Cortical basis of communication: Local computation, coordination, attention

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