AIMC Topic: Models, Neurological

Clear Filters Showing 1001 to 1010 of 1163 articles

Adaptive Dynamic Surface Control of Epileptor Model Based on Nonlinear Luenberger State Observer.

International journal of neural systems May 1, 2025
Epilepsy is a prevalent neurological disorder characterized by recurrent seizures, which are sudden bursts of electrical activity in the brain. The Epileptor model is a computational model specifically created to replicate the complex dynamics of epi...
Humans Models, Neurological Epilepsy Nonlinear Dynamics Neural Networks, Computer Brain Computer Simulation
View on PubMed DOI

Distributed Representations for Cognitive Control in Frontal Medial Cortex.

Journal of cognitive neuroscience May 1, 2025
In natural and artificial neural networks, modularity and distributed structure afford complementary but competing benefits. The former allows for hierarchical representations that can flexibly recombine modules to address novel problems, whereas the...
Brain Mapping Executive Function Cognition Neural Networks, Computer Humans Magnetic Resonance Imaging Female Models, Neurological Adult Young Adult Male Prefrontal Cortex
View on PubMed DOI

Distributed Synaptic Connection Strength Changes Dynamics in a Population Firing Rate Model in Response to Continuous External Stimuli.

Neural computation Apr 17, 2025
Neural network complexity allows for diverse neuronal population dynamics and realizes higherorder brain functions such as cognition and memory. Complexity is enhanced through chemical synapses with exponentially decaying conductance and greater vari...
Models, Neurological Action Potentials Neurons Synapses Nerve Net Computer Simulation Primary Visual Cortex Animals Neuronal Plasticity Humans Neural Networks, Computer
View on PubMed DOI

Elucidating the Theoretical Underpinnings of Surrogate Gradient Learning in Spiking Neural Networks.

Neural computation Apr 17, 2025
Training spiking neural networks to approximate universal functions is essential for studying information processing in the brain and for neuromorphic computing. Yet the binary nature of spikes poses a challenge for direct gradient-based training. Su...
Models, Neurological Action Potentials Neurons Humans Neural Networks, Computer Learning Stochastic Processes
View on PubMed DOI

The Leaky Integrate-and-Fire Neuron Is a Change-Point Detector for Compound Poisson Processes.

Neural computation Apr 17, 2025
Animal nervous systems can detect changes in their environments within hundredths of a second. They do so by discerning abrupt shifts in sensory neural activity. Many neuroscience studies have employed change-point detection (CPD) algorithms to estim...
Algorithms Animals Models, Neurological Humans Neural Networks, Computer Neurons Action Potentials Membrane Potentials Poisson Distribution
View on PubMed DOI

Spiking Neuron-Astrocyte Networks for Image Recognition.

Neural computation Mar 18, 2025
From biological and artificial network perspectives, researchers have started acknowledging astrocytes as computational units mediating neural processes. Here, we propose a novel biologically inspired neuron-astrocyte network model for image recognit...
Neurons Nerve Net Action Potentials Astrocytes Neural Networks, Computer Animals Humans Models, Neurological
View on PubMed DOI

Learning in Wilson-Cowan Model for Metapopulation.

Neural computation Mar 18, 2025
The Wilson-Cowan model for metapopulation, a neural mass network model, treats different subcortical regions of the brain as connected nodes, with connections representing various types of structural, functional, or effective neuronal connectivity be...
Neural Networks, Computer Algorithms Brain Learning Models, Neurological Neurons Humans Nerve Net
View on PubMed DOI

Active Inference and Intentional Behavior.

Neural computation Mar 18, 2025
Recent advances in theoretical biology suggest that key definitions of basal cognition and sentient behavior may arise as emergent properties of in vitro cell cultures and neuronal networks. Such neuronal networks reorganize activity to demonstrate s...
Cognition Models, Neurological Neurons Intention Machine Learning Nerve Net Humans Computer Simulation Behavior Neural Networks, Computer Animals
View on PubMed DOI

Toward a Free-Response Paradigm of Decision Making in Spiking Neural Networks.

Neural computation Feb 14, 2025
Spiking neural networks (SNNs) have attracted significant interest in the development of brain-inspired computing systems due to their energy efficiency and similarities to biological information processing. In contrast to continuous-valued artificia...
Decision Making Reaction Time Neurons Animals Humans Models, Neurological Neural Networks, Computer Action Potentials
View on PubMed DOI

Improving Recall in Sparse Associative Memories That Use Neurogenesis.

Neural computation Feb 14, 2025
The creation of future low-power neuromorphic solutions requires specialist spiking neural network (SNN) algorithms that are optimized for neuromorphic settings. One such algorithmic challenge is the ability to recall learned patterns from their nois...
Neurons Memory Neurogenesis Animals Mental Recall Humans Models, Neurological Association Learning Neural Networks, Computer Algorithms
View on PubMed DOI
Popular Topics
Recent Journals