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Refinado por: assunto: Life Sciences & Biomedicine remover assunto: Neural Networks remover
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1
State transitions through inhibitory interneurons in a cortical network model
State transitions through inhibitory interneurons in a cortical network model
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State transitions through inhibitory interneurons in a cortical network model

Bryson, Alexander ; Berkovic, Samuel F ; Petrou, Steven ; Grayden, David B Graham, Lyle J.

PLoS computational biology, 2021-10, Vol.17 (10), p.e1009521-e1009521 [Periódico revisado por pares]

United States: Public Library of Science

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2
Seizure pathways: A model-based investigation
Seizure pathways: A model-based investigation
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Seizure pathways: A model-based investigation

Karoly, Philippa J ; Kuhlmann, Levin ; Soudry, Daniel ; Grayden, David B ; Cook, Mark J ; Freestone, Dean R Marinazzo, Daniele

PLoS computational biology, 2018-10, Vol.14 (10), p.e1006403-e1006403 [Periódico revisado por pares]

United States: Public Library of Science

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3
Emergence of radial orientation selectivity: Effect of cell density changes and eccentricity in a layered network
Emergence of radial orientation selectivity: Effect of cell density changes and eccentricity in a layered network
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Emergence of radial orientation selectivity: Effect of cell density changes and eccentricity in a layered network

Davey, Catherine E ; Grayden, David B ; Burkitt, Anthony N

Frontiers in computational neuroscience, 2022-12, Vol.16, p.881046-881046 [Periódico revisado por pares]

Switzerland: Frontiers Research Foundation

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4
Toward a Biologically Plausible Model of LGN-V1 Pathways Based on Efficient Coding
Toward a Biologically Plausible Model of LGN-V1 Pathways Based on Efficient Coding
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Toward a Biologically Plausible Model of LGN-V1 Pathways Based on Efficient Coding

Lian, Yanbo ; Grayden, David B ; Kameneva, Tatiana ; Meffin, Hamish ; Burkitt, Anthony N

Frontiers in neural circuits, 2019-03, Vol.13, p.13-13 [Periódico revisado por pares]

Switzerland: Frontiers Research Foundation

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5
Learning Pitch with STDP: A Computational Model of Place and Temporal Pitch Perception Using Spiking Neural Networks
Learning Pitch with STDP: A Computational Model of Place and Temporal Pitch Perception Using Spiking Neural Networks
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Learning Pitch with STDP: A Computational Model of Place and Temporal Pitch Perception Using Spiking Neural Networks

Erfanian Saeedi, Nafise ; Blamey, Peter J ; Burkitt, Anthony N ; Grayden, David B Battaglia, Francesco P.

PLoS computational biology, 2016-04, Vol.12 (4), p.e1004860-e1004860 [Periódico revisado por pares]

United States: Public Library of Science

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6
Compensation for Traveling Wave Delay Through Selection of Dendritic Delays Using Spike-Timing-Dependent Plasticity in a Model of the Auditory Brainstem
Compensation for Traveling Wave Delay Through Selection of Dendritic Delays Using Spike-Timing-Dependent Plasticity in a Model of the Auditory Brainstem
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Compensation for Traveling Wave Delay Through Selection of Dendritic Delays Using Spike-Timing-Dependent Plasticity in a Model of the Auditory Brainstem

Spencer, Martin J ; Meffin, Hamish ; Burkitt, Anthony N ; Grayden, David B

Frontiers in computational neuroscience, 2018-06, Vol.12, p.36-36 [Periódico revisado por pares]

Switzerland: Frontiers Research Foundation

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7
Computational Neural Modeling of Auditory Cortical Receptive Fields
Computational Neural Modeling of Auditory Cortical Receptive Fields
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Computational Neural Modeling of Auditory Cortical Receptive Fields

Chambers, Jordan D ; Elgueda, Diego ; Fritz, Jonathan B ; Shamma, Shihab A ; Burkitt, Anthony N ; Grayden, David B

Frontiers in computational neuroscience, 2019-05, Vol.13, p.28-28 [Periódico revisado por pares]

Switzerland: Frontiers Research Foundation

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8
Learning a Sparse Code for Temporal Sequences Using STDP and Sequence Compression
Learning a Sparse Code for Temporal Sequences Using STDP and Sequence Compression
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Learning a Sparse Code for Temporal Sequences Using STDP and Sequence Compression

Byrnes, Sean ; Burkitt, Anthony N. ; Grayden, David B. ; Meffin, Hamish

Neural computation, 2011-10, Vol.23 (10), p.2567-2598 [Periódico revisado por pares]

One Rogers Street, Cambridge, MA 02142-1209, USA: MIT Press

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9
Emergence of network structure due to spike-timing-dependent plasticity in recurrent neuronal networks. I. Input selectivity-strengthening correlated input pathways
Emergence of network structure due to spike-timing-dependent plasticity in recurrent neuronal networks. I. Input selectivity-strengthening correlated input pathways
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Emergence of network structure due to spike-timing-dependent plasticity in recurrent neuronal networks. I. Input selectivity-strengthening correlated input pathways

Gilson, Matthieu ; Burkitt, Anthony N ; Grayden, David B ; Thomas, Doreen A ; van Hemmen, J. Leo

Biological cybernetics, 2009-08, Vol.101 (2), p.81-102 [Periódico revisado por pares]

Berlin/Heidelberg: Berlin/Heidelberg : Springer-Verlag

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10
Emergence of network structure due to spike-timing-dependent plasticity in recurrent neuronal networks. II. Input selectivity--symmetry breaking
Emergence of network structure due to spike-timing-dependent plasticity in recurrent neuronal networks. II. Input selectivity--symmetry breaking
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Emergence of network structure due to spike-timing-dependent plasticity in recurrent neuronal networks. II. Input selectivity--symmetry breaking

Gilson, Matthieu ; Burkitt, Anthony N ; Grayden, David B ; Thomas, Doreen A ; van Hemmen, J. Leo

Biological cybernetics, 2009-08, Vol.101 (2), p.103-114 [Periódico revisado por pares]

Berlin/Heidelberg: Berlin/Heidelberg : Springer-Verlag

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