Attractor dynamics of a Boolean model of a brain circuit controlled by multiple parameters
J Cabessa, AEP Villa - Chaos: An Interdisciplinary Journal of Nonlinear …, 2018 - pubs.aip.org
Studies of Boolean recurrent neural networks are briefly introduced with an emphasis on the
attractor dynamics determined by the sequence of distinct attractors observed in the limit …
attractor dynamics determined by the sequence of distinct attractors observed in the limit …
Fast object tracking on a many-core neural network chip
Fast object tracking on embedded devices is of great importance for applications such as
autonomous driving, unmanned aerial vehicle, and intelligent monitoring. Whereas, most of …
autonomous driving, unmanned aerial vehicle, and intelligent monitoring. Whereas, most of …
Models of spatial representation in the medial entorhinal cortex
T D'Albis - 2018 - edoc.hu-berlin.de
High-level cognitive abilities such as memory, navigation, and decision making rely on the
communication between the hippocampal formation and the neocortex. At the interface …
communication between the hippocampal formation and the neocortex. At the interface …
Continuous Attractors of Nonlinear Neural Networks with Asymmetric Connection Weights
J Yu, Z Yi, C Wang, Y Liao, Z Pang - International Conference on Neural …, 2018 - Springer
Continuous attractor neural networks with symmetric connection weights have been studied
widely. However, there is short of results on continuous attractor neural networks with …
widely. However, there is short of results on continuous attractor neural networks with …
Concurrent Multisensory Integration and Segregation with Complementary Congruent and Opposite Neurons
Our brain perceives the world by exploiting multiple sensory modalities to extract information
about various aspects of external stimuli. If these sensory cues are from the same stimulus of …
about various aspects of external stimuli. If these sensory cues are from the same stimulus of …