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Academic literature on the topic 'Hahnloser'

Author: Grafiati
Published: 27 July 2024
Last updated: 28 July 2024

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Journal articles on the topic "Hahnloser"

1

Hahnloser, Richard H. R., Rodney J. Douglas, and Klaus Hepp. "Attentional Recruitment of Inter-Areal Recurrent Networks for Selective Gain Control." Neural Computation 14, no. 7 (July 1, 2002): 1669–89. http://dx.doi.org/10.1162/08997660260028665.

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There is strong anatomical and physiological evidence that neurons with large receptive fields located in higher visual areas are recurrently connected to neurons with smaller receptive fields in lower areas. We have previously described a minimal neuronal network architecture in which top-down attentional signals to large receptive field neurons can bias and selectively read out the bottom-up sensory information to small receptive field neurons (Hahnloser, Douglas, Mahowald, & Hepp, 1999). Here we study an enhanced model, where the role of attention is to recruit specific inter-areal feedback loops (e.g., drive neurons above firing threshold). We first illustrate the operation of recruitment on a simple example of visual stimulus selection. In the subsequent analysis, we find that attentional recruitment operates by dynamical modulation of signal amplification and response multistability. In particular, we find that attentional stimulus selection necessitates increased recruitment when the stimulus to be selected is of small contrast and of small distance away from distractor stimuli. The selectability of a low-contrast stimulus is dependent on the gain of attentional effects; for example, low-contrast stimuli can be selected only when attention enhances neural responses. However, the dependence of attentional selection on stimulus-distractor distance is not contingent on whether attention enhances or suppresses responses. The computational implications of attentional recruitment are that cortical circuits can behave as winner-take-all mechanisms of variable strength and can achieve close to optimal signal discrimination in the presence of external noise.
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Collazos, Steven, and Duane Nykamp. "Permitted Sets and Convex Coding in Nonthreshold Linear Networks." Neural Computation, July 19, 2022, 1–31. http://dx.doi.org/10.1162/neco_a_01523.

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Abstract Hebbian theory proposes that ensembles of neurons form a basis for neural processing. It is possible to gain insight into the activity patterns of these neural ensembles through a binary analysis, regarding neurons as either active or inactive. The framework of permitted and forbidden sets, introduced by Hahnloser, Seung, and Slotine (2003), is a mathematical model of such a binary analysis: groups of coactive neurons can be permitted or forbidden depending on the network's structure. In order to widen the applicability of the framework of permitted sets, we extend the permitted set analysis from the original threshold-linear regime. Specifically, we generalize permitted sets to firing rate models in which Φ is a nonnegative continuous piecewise C1 activation function. In our framework, the focus is shifted from a neuron's firing rate to its responsiveness to inputs; if a neuron's firing rate is sufficiently sensitive to changes in its input, we say that the neuron is responsive. The algorithm for categorizing a neuron as responsive depends on thresholds that a user can select arbitrarily and that are independent of the dynamics. Given a synaptic weight matrix W, we say that a set of neurons is permitted if it is possible to find a stimulus where those neurons, and no others, remain responsive. The main coding property we establish about PΦ(W), the collection of all permitted sets of the network, is that PΦ(W) is a convex code when W is almost rank one. This means that PΦ(W) in the low-rank regime can be realized as a neural code resulting from the pattern of overlaps of receptive fields that are convex.
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Books on the topic "Hahnloser"

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Sauterel, Valérie. Vallotton, Manguin, Hahnloser: Correspondance 1908-1928. Lausanne: Bibliothèque des arts, 2013.

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Bern, Kunstmuseum, ed. Van Gogh bis Cézanne, Bonnard bis Matisse: Die Sammlung Hahnloser. Bern: Kunstmuseum Bern, 2017.

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Monet, Musée Marmottan. Villa Flora: Les temps enchantes : collection Arthur et Hedy Hahnloser. Paris: Société française de promotion artistique, 2015.

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Lange, Christiane, Angelika Affentranger-Kirchrath, and Neela Struck. Aufbruch Flora: Meisterwerke aus der Sammlung Arthur und Hedy Hahnloser-Bühler. [Dresden]: Sandstein Verlag, 2016.

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5

(Winterthur, Switzerland) Villa Flora. Hahnloser/Jaeggli Stiftung: Bonnard, Vallotton, Vuillard im Bann des japanischen Holzschnitts. Winterthur: Villa Flora Winterthur, Sammlung Hahnloser, 2013.

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Sauterel, Valérie, Angelika Affentranger-Kirchrath, and Margrit Hahnloser-Ingold. La collection Arthur et Hedy Hahnloser, Winterthour: Un regard partagé avec les artistes. Lausanne: Bibliothèque des Arts, 2011.

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7

Ursula, Perucchi-Petri, and Villa Flora (Winterthur Switzerland), eds. Intime Welten: Das Interieur bei den Nabis : Bonnard, Vuillard, Vallotton : aus der Sammlung Arthur und Hedy Hahnloser-Bühler. Bern: Benteli, 1999.

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author, Dräger Ulf, Koella Rudolf author, Köller Susanna author, and Stiftung Moritzburg, Kunstmuseum des Landes Sachsen-Anhalt, eds. Magie des Augenblicks: Meisterwerke aus der Sammlung Arthur und Hedy Hahnloser-Bühler : Van Gogh, Cezanne, Bonnard, Vallotton, Matisse. Petersberg: Michael Imhof Verlag, 2016.

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9

Leeman, Fred. Der Sämann--Vincent van Gogh: Werke aus der Sammlung Arthur und Hedy Hahnloser-Bühler und aus schweizer und internationalem Museumsbesitz. Bern: Benteli, 2002.

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10

Ursula, Perucchi-Petri, Affentranger-Kirchrath Angelika, Hahnloser-Ingold Margrit, and Villa Flora (Winterthur Switzerland), eds. Félix Vallotton in der Villa Flora: Aus der Sammlung Arthur und Hedy Hahnloser-Bühler und aus Schweizer Privat- und Museumsbesitz. Wabern: Benteli Verlag, 2007.

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Book chapters on the topic "Hahnloser"

1

Kurmann-Schwarz, Brigitte. "La fondation du Corpus Vitrearum. Les rôles de Hans Robert Hahnloser et de Louis Grodecki." In Louis Grodecki et le vitrail, 26–36. Éditions du Centre André-Chastel, 2024. http://dx.doi.org/10.62806/mlez1592.

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