AIMC Topic:
Neurons

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Dynamics and Bifurcation Structure of a Mean-Field Model of Adaptive Exponential Integrate-and-Fire Networks.

Neural computation May 14, 2025
The study of brain activity spans diverse scales and levels of description and requires the development of computational models alongside experimental investigations to explore integrations across scales. The high dimensionality of spiking networks p...
Humans Neural Networks, Computer Brain Action Potentials Neurons Nerve Net Computer Simulation Animals Models, Neurological
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Dynamics of Continuous Attractor Neural Networks With Spike Frequency Adaptation.

Neural computation May 14, 2025
Attractor neural networks consider that neural information is stored as stationary states of a dynamical system formed by a large number of interconnected neurons. The attractor property empowers a neural system to encode information robustly, but it...
Neurons Adaptation, Physiological Animals Models, Neurological Action Potentials Humans Neural Networks, Computer Brain
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ASiDentify (ASiD): a machine learning model to predict new autism spectrum disorder risk genes.

Genetics May 8, 2025
Autism spectrum disorder (ASD) is a neurodevelopmental disorder that affects nearly 3% of children and has a strong genetic component. While hundreds of ASD risk genes have been identified through sequencing studies, the genetic heterogeneity of ASD ...
Humans Genetic Predisposition to Disease RNA-Binding Proteins Machine Learning Neurons Autism Spectrum Disorder
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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...
Nerve Net Primary Visual Cortex Neural Networks, Computer Neurons Computer Simulation Synapses Animals Neuronal Plasticity Models, Neurological Action Potentials Humans
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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...
Stochastic Processes Neural Networks, Computer Learning Models, Neurological Action Potentials Neurons Humans
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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...
Neural Networks, Computer Algorithms Animals Humans Neurons Membrane Potentials Models, Neurological Action Potentials Poisson Distribution
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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...
Action Potentials Astrocytes Animals Neurons Nerve Net Humans Models, Neurological Neural Networks, Computer
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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...
Nerve Net Models, Neurological Neurons Algorithms Brain Learning Humans Neural Networks, Computer
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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...
Machine Learning Computer Simulation Animals Cognition Models, Neurological Humans Neural Networks, Computer Nerve Net Behavior Neurons Intention
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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 Animals Humans Neurons Reaction Time Neural Networks, Computer Models, Neurological Action Potentials
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