9 papers · ranked by Valyu relevance
Upinder S. Bhalla, Joanna Jędrzejewska-Szmek
Signaling networks mediate many aspects of cellular function. The conventional, mechanistically motivated approach to modeling such networks is through mass-action chemistry, which maps directly to biological entities and facilitates experimental tests and predictions. However such models are complex, need many…
Matthias Kohler, Florian Röhrbein, Alois Knoll, Alin Albu-Schäffer + 1 more
'Henrik Jörntell'] Currently, it is accepted that animal locomotion is controlled by a central pattern generator in the spinal cord. Experiments and models show that rhythm generating neurons and genetically determined network properties could sustain oscillatory output activity suitable for locomotion. However…
Fernando Aguilar-Canto, Hiram Calvo, Peter König
This research integrates key concepts of Computational Neuroscience, including the Bienestock-CooperMunro (BCM) rule, Spike Timing-Dependent Plasticity Rules (STDP), and the Temporal Difference Learning algorithm, with an important structure of Deep Learning (Convolutional Networks) to create an architecture with the…
Wenxuan Pan, Feifei Zhao, Yi Zeng, Bing Han
The architecture design and multi-scale learning principles of the human brain that evolved over hundreds of millions of years are crucial to realizing human-like intelligence. Spiking neural network based Liquid State Machine (LSM) serves as a suitable architecture to study brain-inspired intelligence because of its…
Yanyun Ren, Xiaobo Bu, Ming Wang, Yue Gong + 6 more
'Yuyang Yang' 'Guijun Li' 'Meng Zhang' 'Ye Zhou' 'Su-Ting Han'] Get in-depth understanding of each part of visual pathway yields insights to conquer the challenges that classic computer vision is facing. Here, we first report the bioinspired striate cortex with binocular and orientation selective receptive field based…
Albert Albesa-González, Maxime Froc, Oliver Williamson, Mark C. W. van Rossum
'Mark C. W. van Rossum'] Models of synaptic plasticity have been used to better understand neural development as well as learning and memory. One prominent classic model is the Bienenstock-Cooper-Munro (BCM) model that has been particularly successful in explaining plasticity of the visual cortex. Here, in an effort to…
Lorenzo Squadrani, Nico Curti, Enrico Giampieri, Daniel Remondini + 4 more
'Brian Blais' 'Gastone Castellani' 'Francesco Carlo Morabito' 'Friedhelm Schwenker'] Purpose: In this work, we propose an implementation of the Bienenstock-Cooper-Munro (BCM) model, obtained by a combination of the classical framework and modern deep learning methodologies. The BCM model remains one of the most…
Harshitha Ashoka Sreeja, Emilio Couso-Queiruga, Clemens Raabe, Vivianne Chappuis + 3 more
'Vivianne Chappuis' 'Maria B. Asparuhova' 'Ionut Luchian' 'Ancuţa Goriuc'] A key principle of guided bone regeneration (GBR) is the use of a barrier membrane to prevent cells from non-osteogenic tissues from interfering with bone regeneration in patients with hard tissue deficiencies. The aim of the study was to…
Jorn S. Heerink, Ruud Oudega, Rogier Hopstaken, Hendrik Koffijberg + 1 more
'Ron Kusters'] Clinical judgement in primary care is more often decisive than in the hospital. Clinical decision rules (CDRs) can help general practitioners facilitating the work-through of differentials that follows an initial suspicion, resulting in a concrete ‘course of action’: a ‘rule-out’ without further testing…