Search Results - "Sterratt, David C"

Standard anatomical and visual space for the mouse retina: computational reconstruction and transformation of flattened retinae with the Retistruct package by Sterratt, David C, Lyngholm, Daniel, Willshaw, David J, Thompson, Ian D

“…The concept of topographic mapping is central to the understanding of the visual system at many levels, from the developmental to the computational. It is…”
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On the Importance of Countergradients for the Development of Retinotopy: Insights from a Generalised Gierer Model by Sterratt, David C

“…During the development of the topographic map from vertebrate retina to superior colliculus (SC), EphA receptors are expressed in a gradient along the…”
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Spine calcium transients induced by synaptically-evoked action potentials can predict synapse location and establish synaptic democracy by Sterratt, David C, Groen, Martine R, Meredith, Rhiannon M, van Ooyen, Arjen

“…CA1 pyramidal neurons receive hundreds of synaptic inputs at different distances from the soma. Distance-dependent synaptic scaling enables distal and proximal…”
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Correction: On the Importance of Countergradients for the Development of Retinotopy: Insights from a Generalised Gierer Model by Sterratt, David C.

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Analysis of local and global topographic order in mouse retinocollicular maps by Willshaw, David J, Sterratt, David C, Teriakidis, Adrianna

“…We introduce the Lattice Method for the quantitative assessment of the topographic order within the pattern of connections between two structures. We apply…”
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Quantitative assessment of computational models for retinotopic map formation by Hjorth, J J Johannes, Sterratt, David C, Cutts, Catherine S, Willshaw, David J, Eglen, Stephen J

“…ABSTRACT Molecular and activity‐based cues acting together are thought to guide retinal axons to their terminal sites in vertebrate optic tectum or superior…”
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Estimating the location and size of retinal injections from orthogonal images of an intact retina by Hjorth, J J Johannes, Savier, Elise, Sterratt, David C, Reber, Michaël, Eglen, Stephen J

“…To study the mapping from the retina to the brain, typically a small region of the retina is injected with a dye, which then propagates to the retina's target…”
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Retinocollicular mapping explained? by Sterratt, David C, Hjorth, J J Johannes

“…We review and comment on the recent model of Grimbert and Cang of the development of topographically ordered maps from the retina to the superior colliculus…”
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Inhomogeneities in heteroassociative memories with linear learning rules by Sterratt, David C, Willshaw, David

“…We investigate how various inhomogeneities present in synapses and neurons affect the performance of feedforward associative memories with linear learning, a…”
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Inference of original retinal coordinates from flattened retinae by Sterratt, David C, Thompson, Ian

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Back propagating action potential and distant-dependent calcium signaling in CA1 pyramidal neurons by Groen, Martine R, Meredith, Rhiannon M, Sterratt, David C, Mansvelder, Huibert D, van Ooyen, Arjen

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Optimal learning rules for familiarity detection by Greve, Andrea, Sterratt, David C, Donaldson, David I, Willshaw, David J, van Rossum, Mark C. W

“…It has been suggested that the mammalian memory system has both familiarity and recollection components. Recently, a high-capacity network to store familiarity…”
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Correction: On the Importance of Countergradients for the Development of Retinotopy: Insights from a Generalised Gierer Model by David C. Sterratt

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Retistruct: A package to reconstruct flattened retinae by David C, Sterratt, Daniel, Lyngholm, David, Willshaw, Ian D, Thompson

“…Abstract only…”
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Standard Anatomical and Visual Space for the Mouse Retina: Computational Reconstruction and Transformation of Flattened Retinae with the Retistruct Package. e1002921 by Sterratt, David C, Lyngholm, Daniel, Willshaw, David J, Thompson, Ian D

“…The concept of topographic mapping is central to the understanding of the visual system at many levels, from the developmental to the computational. It is…”
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Sequential Neural Likelihood: Fast Likelihood-free Inference with Autoregressive Flows by Papamakarios, George, Sterratt, David C, Murray, Iain

“…We present Sequential Neural Likelihood (SNL), a new method for Bayesian inference in simulator models, where the likelihood is intractable but simulating data…”
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Is a biological temporal learning rule compatible with learning Synfire chains? by Sterratt, D.C

“…The author investigates how a biologically realistic temporal learning rule and the neuronal firing threshold jointly determine the recall speed of a synfire…”
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Does a dendritic democracy need a ruler? by Sterratt, David C., van Ooyen, Arjen

“…In hippocampal CA1 cells, distance-dependent synaptic scaling (Nat. Neurosci. 3 (2000) 895, J. Neurosci. 21 (2001) 9151) helps maintain a “dendritic democracy”…”
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Integration of rule-based models and compartmental models of neurons by Sterratt, David C, Sorokina, Oksana, Armstrong, J. Douglas

“…Synaptic plasticity depends on the interaction between electrical activity in neurons and the synaptic proteome, the collection of over 1000 proteins in the…”
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Quantitative assessment of computational models for retinotopic map formation by Hjorth, J. J. Johannes, Sterratt, David C, Cutts, Catherine S, Willshaw, David J, Eglen, Stephen J

“…Molecular and activity-based cues acting together are thought to guide retinal axons to their terminal sites in vertebrate optic tectum or superior colliculus…”
Get full text