JuLib | Articles & more - {"Brain-inspired multiscale computation in neuromorphic hybrid systems"}

1

Contribution to a conference proceedings

Probabilistic computing based on noise generated by deterministic neural networks

Jordan, Jakob
2015

“...Brain-inspired multiscale computation in neuromorphic hybrid systems...”

2

Contribution to a conference proceedings

Hybrid scheme for modeling local field potentials from point-neuron networks

Hagen, Espen
2015

“...Brain-inspired multiscale computation in neuromorphic hybrid systems...”

3

Contribution to a conference proceedings

Hybrid scheme for modeling local field potentials from point-neuron networks

Hagen, Espen
2015

“...Brain-inspired multiscale computation in neuromorphic hybrid systems...”

4

Contribution to a conference proceedings

Computing local field potentials based on spiking cortical networks

Stavrinou, Maria L
2014

“...Brain-inspired multiscale computation in neuromorphic hybrid systems...”

5

Contribution to a conference proceedings
Journal Article

Noise decouples covariances from interaction strength

Grytskyy, Dmytro
2013

BMC neuroscience, 14 S. .

“...Brain-inspired multiscale computation in neuromorphic hybrid systems...”
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6

Contribution to a book
Contribution to a conference proceedings

Computational characteristics of recurrent neural networks under the influence of Alzheimer's disease

Bachmann, Claudia
2013

“...Brain-inspired multiscale computation in neuromorphic hybrid systems...”

7

Contribution to a conference proceedings
Journal Article

Firing-rate models for neurons with a broad repertoire of spiking behaviors

Heiberg, Thomas
2013

BMC neuroscience, 14 Suppl 1,

“...Brain-inspired multiscale computation in neuromorphic hybrid systems...”
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8

Contribution to a conference proceedings

Invariance of covariances arises out of noise

Grytskyy, D.
2013

“...Brain-inspired multiscale computation in neuromorphic hybrid systems...”

9

Contribution to a conference proceedings

Effect of Alzheimer's disease on the dynamical and computational characteristics of recurrent neural networks

Bachmann, Claudia
2013

14 (2013) Suppl 1, S. P282 -

“...Brain-inspired multiscale computation in neuromorphic hybrid systems...”
OpenAccess

10

Contribution to a conference proceedings

Covariances in neural networks in linear approximation

Grytskyy, Dmytro
2013

“...Brain-inspired multiscale computation in neuromorphic hybrid systems...”

11

Contribution to a conference proceedings

Effect of Alzheimer’s disease on the dynamical and computational characteristics of recurrent neural networks

Bachmann, Claudia
2013

14 Suppl 1,

“...Brain-inspired multiscale computation in neuromorphic hybrid systems...”

12

Contribution to a conference proceedings

Generation of uncorrelated noise by recurrent neural networks

Jordan, J.
2013

“...Brain-inspired multiscale computation in neuromorphic hybrid systems...”

13

Contribution to a conference proceedings
Journal Article

Dynamics and lifetime of persistent activity states in random networks of spiking neurons with strong synapses

Kriener, Birgit
2013

BMC neuroscience, 14 Suppl 1,

“...Brain-inspired multiscale computation in neuromorphic hybrid systems...”
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14

Contribution to a conference proceedings

Hybrid scheme for modeling LFPs from spiking cortical network models

Hagen, Espen
2013

“...Brain-inspired multiscale computation in neuromorphic hybrid systems...”

15

Contribution to a conference proceedings
Journal Article

Hybrid scheme for modeling LFPs from spiking cortical network models

Hagen, Espen
2013

BMC neuroscience, 14 Suppl 1,

“...Brain-inspired multiscale computation in neuromorphic hybrid systems...”
Get full text OpenAccess

16

Contribution to a conference proceedings
Journal Article

Taming the model zoo: a unified view on correlations in recurrent networks

Grytskyy, Dmytro
2012

BMC neuroscience, 13 (2012) Suppl 1, S. P147 -

“...Brain-inspired multiscale computation in neuromorphic hybrid systems...”
OpenAccess

17

Contribution to a conference proceedings

Unifying propagators and covariances of network models by Ornstein-Uhlenbeck process

Grytskyy, Dmytro
2012

“...Brain-inspired multiscale computation in neuromorphic hybrid systems...”

18

Contribution to a conference proceedings

Unification of covariances in different neuron network models through the mapping onto Ornstein-Uhlenbeck process

Grytskyy, Dmytro
2012

“...Brain-inspired multiscale computation in neuromorphic hybrid systems...”

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