Results 1 to 10 of about 64,361 (214)
Phase diagrams and dynamics of a computationally efficient map-based neuron model. [PDF]
PLoS ONE, 2017 We introduce a new map-based neuron model derived from the dynamical perceptron family that has the best compromise between computational efficiency, analytical tractability, reduced parameter space and many dynamical behaviors.
Mauricio Girardi-Schappo +4 more
doaj +6 more sources
Noise-induced complex dynamics and synchronization in the map-based Chialvo neuron model
Communications in Nonlinear Science and Numerical Simulation, 2023 Russian Science Foundation (21-11-00062). Spanish State Research Agency (AEI) and the European Regional Development Fund (ERDF) under Project No. PID2019-105554GB-I00.
Lev Ryashko +2 more
exaly +4 more sources
Memristor-induced mode transitions and extreme multistability in a map-based neuron model
Nonlinear Dynamics, 2022 Abstract Because of the advent of discrete memristor, memristor effect in discrete map has become the important subject deserving discussion. To this end, this paper constructs a memristor-based neuron model considering magnetic induction by combining an existing map-based neuron model and a discrete memristor with absolute value nonlinear ...
Bocheng Bao, Han Bao, Jianming Cai
exaly +2 more sources
Human pluripotent stem cell engineering with CRISPR–Cas9 for Parkinson’s disease [PDF]
Experimental and Molecular MedicineParkinson’s disease (PD) entails loss of substantia nigra dopamine (DA) neurons and α-synuclein pathology. Currently, no effective disease-modifying therapies have been developed. Human pluripotent stem cells (hPS cells) can generate DA neurons on scale,
Seung Bin Park +4 more
doaj +2 more sources
Spike patterns and chaos in a map-based neuron model
International Journal of Applied Mathematics and Computer Science, 2023 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Piotr Bartlomiejczyk +2 more
openaire +2 more sources
Biologically Inspired Self-Organizing Computational Model to Mimic Infant Learning
Machine Learning and Knowledge Extraction, 2023 Recent technological advancements have fostered human–robot coexistence in work and residential environments. The assistive robot must exhibit humane behavior and consistent care to become an integral part of the human habitat.
Karthik Kumar Santhanaraj +4 more
doaj +1 more source
Periodic and chaotic dynamics in a map‐based neuron model
Mathematical Methods in the Applied Sciences, 2023 Map‐based neuron models are an important tool in modeling neural dynamics and sometimes can be considered as an alternative to usually computationally costlier models based on continuous or hybrid dynamical systems. However, due to their discrete nature, rigorous mathematical analysis might be challenging. We study a discrete model of neuronal dynamics
Frank Llovera Trujillo +2 more
openaire +3 more sources
The retrograde frequency response of passive dendritic trees constrains the nonlinear firing behaviour of a reduced neuron model. [PDF]
PLoS ONE, 2012 Our goal was to investigate how the propagation of alternating signals (i.e. AC), like action potentials, into the dendrites influenced nonlinear firing behaviour of motor neurons using a systematically reduced neuron model.
Hojeong Kim, Kelvin E Jones
doaj +1 more source
Subthreshold oscillations in a map-based neuron model [PDF]
Physics Letters A, 2004 To be published in Physics Letters ...
Shilnikov, Andrey L., Rulkov, Nikolai F.
openaire +3 more sources
IEEE Access, 2022 In recent years, researchers have been working to interpret the insights of deep neural networks in the pursuit of overcoming their opaqueness and so-called ‘black-box’ tag.
Md. Tauhid Bin Iqbal +2 more
doaj +1 more source