AIMC Topic: Models, Neurological

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Zero-shot counting with a dual-stream neural network model.

Neuron Nov 1, 2024
To understand a visual scene, observers need to both recognize objects and encode relational structure. For example, a scene comprising three apples requires the observer to encode concepts of "apple" and "three." In the primate brain, these function...
Parietal Lobe Deep Learning Models, Neurological Visual Perception Neural Networks, Computer Animals Humans
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Synchronization-Inspired Interpretable Neural Networks.

IEEE transactions on neural networks and learning systems Oct 29, 2024
Synchronization is a ubiquitous phenomenon in nature that enables the orderly presentation of information. In the human brain, for instance, functional modules such as the visual, motor, and language cortices form through neuronal synchronization. In...
Semantics Nerve Net Cortical Synchronization Models, Neurological Neurons Humans Neural Networks, Computer Algorithms Brain
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Biologically Plausible Sparse Temporal Word Representations.

IEEE transactions on neural networks and learning systems Oct 29, 2024
Word representations, usually derived from a large corpus and endowed with rich semantic information, have been widely applied to natural language tasks. Traditional deep language models, on the basis of dense word representations, requires large mem...
Brain Language Models, Neurological Humans Neural Networks, Computer Algorithms Semantics Natural Language Processing Neurons
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Self-Lateral Propagation Elevates Synaptic Modifications in Spiking Neural Networks for the Efficient Spatial and Temporal Classification.

IEEE transactions on neural networks and learning systems Oct 29, 2024
The brain's mystery for efficient and intelligent computation hides in the neuronal encoding, functional circuits, and plasticity principles in natural neural networks. However, many plasticity principles have not been fully incorporated into artific...
Synapses Nerve Net Algorithms Neuronal Plasticity Models, Neurological Humans Action Potentials Neural Networks, Computer Neurons
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Neuroscientific insights about computer vision models: a concise review.

Biological cybernetics Oct 9, 2024
The development of biologically-inspired computational models has been the focus of study ever since the artificial neuron was introduced by McCulloch and Pitts in 1943. However, a scrutiny of literature reveals that most attempts to replicate the hi...
Humans Neural Networks, Computer Computer Simulation Vision, Ocular Neurosciences Visual Pathways Animals Models, Neurological Neurons
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Learning to segment self-generated from externally caused optic flow through sensorimotor mismatch circuits.

Neural networks : the official journal of the International Neural Network Society Sep 28, 2024
Efficient sensory detection requires the capacity to ignore task-irrelevant information, for example when optic flow patterns created by egomotion need to be disentangled from object perception. To investigate how this is achieved in the visual syste...
Visual Pathways Neurons Visual Perception Visual Cortex Motion Perception Animals Optic Flow Neural Networks, Computer Mice Models, Neurological Learning
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Pattern recognition using spiking antiferromagnetic neurons.

Scientific reports Sep 27, 2024
Spintronic devices offer a promising avenue for the development of nanoscale, energy-efficient artificial neurons for neuromorphic computing. It has previously been shown that with antiferromagnetic (AFM) oscillators, ultra-fast spiking artificial ne...
Neural Networks, Computer Machine Learning Algorithms Humans Pattern Recognition, Automated Models, Neurological Action Potentials Neurons
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A neural network model of differentiation and integration of competing memories.

eLife Sep 25, 2024
What determines when neural representations of memories move together (integrate) or apart (differentiate)? Classic supervised learning models posit that, when two stimuli predict similar outcomes, their representations should integrate. However, the...
Humans Neural Networks, Computer Models, Neurological Brain Memory Learning
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Referring Image Segmentation with Multi-Modal Feature Interaction and Alignment Based on Convolutional Nonlinear Spiking Neural Membrane Systems.

International journal of neural systems Sep 23, 2024
Referring image segmentation aims to accurately align image pixels and text features for object segmentation based on natural language descriptions. This paper proposes NSNPRIS (convolutional nonlinear spiking neural P systems for referring image seg...
Neural Networks, Computer Image Processing, Computer-Assisted Models, Neurological Humans Nonlinear Dynamics Natural Language Processing Neurons
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Neuromorphic intermediate representation: A unified instruction set for interoperable brain-inspired computing.

Nature communications Sep 16, 2024
Spiking neural networks and neuromorphic hardware platforms that simulate neuronal dynamics are getting wide attention and are being applied to many relevant problems using Machine Learning. Despite a well-established mathematical foundation for neur...
Brain Neural Networks, Computer Humans Machine Learning Computer Simulation Action Potentials Software Models, Neurological Neurons
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