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Functional methods for disordered neural networks

Preprint English OPEN

Schuecker, Jannis; Goedeke, Sven; Dahmen, David; Helias, Moritz;

(2016)

Neural networks of the brain form one of the most complex systems we know. Many qualitative features of the emerging collective phenomena, such as correlated activity, stability, response to inputs, chaotic and regular behavior, can, however, be understood in simple mod...

Automated point-neuron simplification of data-driven microcircuit models

Preprint English OPEN

Rössert, Christian; Pozzorini, Christian; Chindemi, Giuseppe; Davison, Andrew P.; Eroe, Csaba; King, James; Newton, Taylor H.; Nolte, Max; Ramaswamy, Srikanth; Reimann, Michael W.; Wybo, Willem; Gewaltig, Marc-Oliver; Gerstner, Wulfram; Markram, Henry; Segev, Idan; ...

(2016)

Project: EC | HBP (604102)

A method is presented for the reduction of morphologically detailed microcircuit models to a point-neuron representation without human intervention. The simplification occurs in a modular workflow, in the neighborhood of a user specified network activity state for the r...

Neurotechnology and Direct Brain Communication : New insights and responsibilities concerning speechless but communicative subjects

Book English RESTRICTED

(2016)

Publisher: New York

Project: EC | HBP (604102)

Neurotechnology and Direct Brain Communication focuses on recent neuroscientific investigations of infant brains and of patients with disorders of consciousness (DOC), both of which are at the forefront of contemporary neuroscience. The prospective use of neurotechnolog...

Noisy Softplus: an activation function that enables SNNs to be trained as ANNs

Preprint English OPEN

Liu, Qian; Chen, Yunhua; Furber, Steve;

(2017)

Project: EC | HBP (604102), EC | BIMPC (320689)

We extended the work of proposed activation function, Noisy Softplus, to fit into training of layered up spiking neural networks (SNNs). Thus, any ANN employing Noisy Softplus neurons, even of deep architecture, can be trained simply by the traditional algorithm, for ex...

Prediction of homoprotein and heteroprotein complexes by protein docking and template-based modeling: A CASP-CAPRI experiment

Article, Part of book or chapter of book English OPEN

Lensink, Marc F.; Velankar, Sameer; Kryshtafovych, Andriy; Huang, Shen‐You; Schneidman‐Duhovny, Dina; Sali, Andrej; Segura, Joan; Fernandez‐Fuentes, Narcis; Viswanath, Shruthi; Elber, Ron; Grudinin, Sergei; Popov, Petr; Neveu, Emilie; Lee, Hasup; Baek, Minkyung; ...

(2016)

Publisher: John Wiley and Sons Inc.

We present the results for CAPRI Round 30, the first joint CASP-CAPRI experiment, which brought together experts from the protein structure prediction and protein–protein docking communities. The Round comprised 25 targets from amongst those submitted for the CASP11 pre...

Neural Networks as Sources of uncorrelated Noise for functional neural Systems

Conference object English CLOSED

Jordan, Jakob; Petrovici, Mihai; Tetzlaff, Tom; Pfeil, Thomas; Breitwieser, Oliver; Bytschok, Ilya; Bill, Johannes; Gruebl, Andreas; Schemmel, Johannes; Meier, Karlheinz; Diesmann, Markus;

(2014)

Project: EC | BRAINSCALES (269921), EC | HBP (604102)

Neural-network models of brain function often rely on the presence of noise [1,2]. Yet thebiological origin of this noise remains unclear. In computer simulations and in neuromorphichardware [3,4], the number of noise sources (random-number generators) is limited. In co...

New tissue priors for improved automated classification of subcortical brain structures on MRI

Article English OPEN

Lorio, S.; Fresard, S.; Adaszewski, S.; Kherif, F.; Chowdhury, R.; Frackowiak, R.S.; Ashburner, J.; Helms, G.; Weiskopf, N.; Lutti, A.; Draganski, B.;

(2016)

Publisher: Academic Press

Project: WT, SNSF | Imaging large scale neuro... (33CM30_140332), EC | BRAINTRAIN (602186), EC | HMRI (616905), EC | HBP (604102)

Despite the constant improvement of algorithms for automated brain tissue classification, the accurate delineation of subcortical structures using magnetic resonance images (MRI) data remains challenging. The main difficulties arise from the low gray-white matter contra...

Contextual effects on perceived contrast: Figure-ground assignment and orientation contrast

Article English OPEN

Self, M.W.; Mookhoek, A.; Tjalma, N.; Roelfsema, P.R.;

(2015)

Project: NWO | How do neurons in the vis... (2300158483), EC | HBP (604102), EC | ABC (290011), EC | CORTIC_AL_GORITHMS (339490)

Figure-ground segregation is an important step in the path leading to object recognition. The visual system segregates objects ('figures') in the visual scene from their backgrounds ('ground'). Electrophysiological studies in awake-behaving monkeys have demonstrated tha...

Long-Term Spatiotemporal Reconfiguration of Neuronal Activity Revealed by Voltage-Sensitive Dye Imaging in the Cerebellar Granular Layer

Article English OPEN

Gandolfi, Daniela; Mapelli, Jonathan; D'Angelo, Egidio;

(2015)

Publisher: Hindawi Publishing Corporation

Project: EC | HBP (604102), EC | REALNET (270434), EC | CEREBNET (238686)

Understanding the spatiotemporal organization of long-term synaptic plasticity in neuronal networks demands techniques capable of monitoring changes in synaptic responsiveness over extended multineuronal structures. Among these techniques, voltage-sensitive dye imaging ...

Putting Actions in Context: Visual Action Adaptation Aftereffects Are Modulated by Social Contexts

Article English OPEN

de la Rosa, S.; Streuber, S.; Giese, M.; Bülthoff, H.; Curio, C.;

(2014)

Publisher: PUBLIC LIBRARY SCIENCE

The social context in which an action is embedded provides important information for the interpretation of an action. Is this social context integrated during the visual recognition of an action? We used a behavioural visual adaptation paradigm to address this question ...

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Funder (14)

Project (97)

Publication Date (8)

Access Mode (4)

Type (9)

Language (5)

Community (2)

Content Provider (100+)

Collected From (100+)