AIMC Topic: Models, Neurological

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Spike-VisNet: A novel framework for visual recognition with FocusLayer-STDP learning.

Neural networks : the official journal of the International Neural Network Society Nov 26, 2024
Current vision-inspired spiking neural networks (SNNs) face key challenges due to their model structures typically focusing on single mechanisms and neglecting the integration of multiple biological features. These limitations, coupled with limited s...
Humans Pattern Recognition, Visual Neurons Neural Networks, Computer Action Potentials Neuronal Plasticity Learning Synapses Retina Visual Perception Models, Neurological
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A novel approach for brain connectivity using recurrent neural networks and integrated gradients.

Computers in biology and medicine Nov 21, 2024
Brain connectivity is an important tool for understanding the cognitive and perceptive neural mechanisms in the neuroimaging field. Many methods for estimating effective connectivity have relied on the linear regressive model. However, the linear reg...
Humans Neural Networks, Computer Brain Magnetoencephalography Magnetic Resonance Imaging Models, Neurological Connectome Nerve Net
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A Deep Dynamic Causal Learning Model to Study Changes in Dynamic Effective Connectivity During Brain Development.

IEEE transactions on bio-medical engineering Nov 21, 2024
OBJECTIVE: Brain dynamic effective connectivity (dEC), characterizes the information transmission patterns between brain regions that change over time, which provides insight into the biological mechanism underlying brain development. However, most e...
Adult Deep Learning Child Humans Male Models, Neurological Brain Adolescent Magnetic Resonance Imaging Infant Nerve Net Female Child, Preschool Young Adult
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A digital neuromorphic system for working memory based on spiking neuron-astrocyte network.

Neural networks : the official journal of the International Neural Network Society Nov 17, 2024
Among various types of memory, working memory (WM) plays a crucial role in reasoning, decision-making, and behavior regulation. Neuromorphic computing is a well-established engineering approach that offers promising avenues for advancing our understa...
Action Potentials Humans Memory, Short-Term Neural Networks, Computer Neurons Models, Neurological
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Multi-compartment neuron and population encoding powered spiking neural network for deep distributional reinforcement learning.

Neural networks : the official journal of the International Neural Network Society Nov 17, 2024
Inspired by the brain's information processing using binary spikes, spiking neural networks (SNNs) offer significant reductions in energy consumption and are more adept at incorporating multi-scale biological characteristics. In SNNs, spiking neurons...
Action Potentials Neurons Reinforcement, Psychology Dendrites Humans Neural Networks, Computer Animals Algorithms Deep Learning Computer Simulation Models, Neurological
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Decoding Continuous Tracking Eye Movements from Cortical Spiking Activity.

International journal of neural systems Nov 15, 2024
Eye movements are the primary way primates interact with the world. Understanding how the brain controls the eyes is therefore crucial for improving human health and designing visual rehabilitation devices. However, brain activity is challenging to d...
Machine Learning Animals Neural Networks, Computer Macaca mulatta Models, Neurological Male Action Potentials Eye-Tracking Technology Neurons Eye Movements
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An ANN models cortical-subcortical interaction during post-stroke recovery of finger dexterity.

Journal of neural engineering Nov 15, 2024
Finger dexterity, and finger individuation in particular, is crucial for human movement, and disruptions due to brain injury can significantly impact quality of life. Understanding the neurological mechanisms responsible for recovery is vital for eff...
Stroke Neural Networks, Computer Fingers Models, Neurological Motor Skills Recovery of Function Stroke Rehabilitation Pyramidal Tracts Humans Motor Cortex
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Deep-learning models reveal how context and listener attention shape electrophysiological correlates of speech-to-language transformation.

PLoS computational biology Nov 11, 2024
To transform continuous speech into words, the human brain must resolve variability across utterances in intonation, speech rate, volume, accents and so on. A promising approach to explaining this process has been to model electroencephalogram (EEG) ...
Attention Speech Perception Adult Male Deep Learning Models, Neurological Electroencephalography Speech Computational Biology Language Female Young Adult Humans Brain
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A deep learning model of dorsal and ventral visual streams for DVSD.

Scientific reports Nov 10, 2024
Artificial intelligence (AI) methods attempt to simulate the behavior and the neural activity of the brain. In particular, Convolutional Neural Networks (CNNs) offer state-of-the-art models of the ventral visual stream. Furthermore, no proposed model...
Visual Pathways Humans Neural Networks, Computer Models, Neurological Autism Spectrum Disorder Visual Perception Deep Learning
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During haptic communication, the central nervous system compensates distinctly for delay and noise.

PLoS computational biology Nov 6, 2024
Physically connected humans have been shown to exploit the exchange of haptic forces and tactile information to improve their performance in joint action tasks. As human interactions are increasingly mediated through robots and networks it is importa...
Computer Simulation Female Young Adult Humans Computational Biology Models, Neurological Robotics Central Nervous System Adult Communication Male Touch Touch Perception
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