Results 101 to 110 of about 2,000,131 (360)
Applied Sciences, 2020 In this paper, an expanded digital hippocampal spurt neural network (HSNN) is innovatively proposed to simulate the mammalian cognitive system and to perform the neuroregulatory dynamics that play a critical role in the cognitive processes of the brain ...
Wei Sun +3 more
doaj +1 more source
Sound Recognition System Using Spiking and MLP Neural Networks [PDF]
, 2016 In this paper, we explore the capabilities of a sound classification system that combines a Neuromorphic Auditory System for feature extraction and an artificial neural network for classification.
Cerezuela Escudero, Elena +5 more
core
Frontiers in Computational Neuroscience, 2020 Spiking Neural Networks (SNNs) are considered as the third generation of artificial neural networks, which are more closely with information processing in biological brains.
Dongcheng Zhao +4 more
semanticscholar +1 more source
A Low-Order Model of Biological Neural Networks [PDF]
Neural Computation, 2011 A biologically plausible low-order model (LOM) of biological neural networks is proposed. LOM is a recurrent hierarchical network of models of dendritic nodes and trees; spiking and nonspiking neurons; unsupervised, supervised covariance and accumulative learning mechanisms; feedback connections; and a scheme for maximal generalization.
openaire +3 more sources
Potential therapeutic targeting of BKCa channels in glioblastoma treatment
Molecular Oncology, EarlyView.This review summarizes current insights into the role of BKCa and mitoBKCa channels in glioblastoma biology, their potential classification as oncochannels, and the emerging pharmacological strategies targeting these channels, emphasizing the translational challenges in developing BKCa‐directed therapies for glioblastoma treatment.
Kamila Maliszewska‐Olejniczak +4 more
wiley +1 more source
Topological Properties of Neuromorphic Nanowire Networks
Frontiers in Neuroscience, 2020 Graph theory has been extensively applied to the topological mapping of complex networks, ranging from social networks to biological systems. Graph theory has increasingly been applied to neuroscience as a method to explore the fundamental structural and
Alon Loeffler +8 more
doaj +1 more source
Backpropagation Artificial Neural Network To Detect Hyperthermic Seizures In Rats [PDF]
, 2002 A three-layered feed-forward back-propagation Artificial Neural Network was used to classify the seizure episodes in rats. Seizure patterns were induced by subjecting anesthetized rats to a Biological Oxygen Demand incubator at 45-47ºC for 30 to 60 ...
Sinha, Mr Rakesh Kumar
core
XNBC: Simulating Biological Neural Networks [PDF]
, 2001 XNBC is software to model and simulate biological neural networks. Four models of neurons are available: a phenomenological model, a leaky integrator, a conditional burster model, and a Hodgkin-Huxley type model with 14 different ionic currents. Inputs to the simulated neurons can be provided by data stored in files from actual experiments, allowing ...
openaire +1 more source
Exploiting metabolic adaptations to overcome dabrafenib treatment resistance in melanoma cells
Molecular Oncology, EarlyView.We show that dabrafenib‐resistant melanoma cells undergo mitochondrial remodeling, leading to elevated respiration and ROS production balanced by stronger antioxidant defenses. This altered redox state promotes survival despite mitochondrial damage but renders resistant cells highly vulnerable to ROS‐inducing compounds such as PEITC, highlighting redox
Silvia Eller +17 more
wiley +1 more source
Brain-Inspired Architecture for Spiking Neural Networks
BiomimeticsSpiking neural networks (SNNs), using action potentials (spikes) to represent and transmit information, are more biologically plausible than traditional artificial neural networks.
Fengzhen Tang +3 more
doaj +1 more source