AIMC Topic: Nerve Net

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Large-scale parameters framework with large convolutional kernel for encoding visual fMRI activity information.

Cerebral cortex (New York, N.Y. : 1991) Jul 3, 2024
Visual encoding models often use deep neural networks to describe the brain's visual cortex response to external stimuli. Inspired by biological findings, researchers found that large receptive fields built with large convolutional kernels improve co...
Image Interpretation, Computer-Assisted Vision, Ocular Nerve Net Convolutional Neural Networks Magnetic Resonance Imaging
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Spike Neural Network of Motor Cortex Model for Arm Reaching Control.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
Motor cortex modeling is crucial for understanding movement planning and execution. While interconnected recurrent neural networks have successfully described the dynamics of neural population activity, most existing methods utilize continuous signal...
Models, Neurological Action Potentials Neurons Neural Networks, Computer Animals Movement Motor Cortex Arm Nerve Net Humans
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Recapitulating the electrophysiological features of in vivo biological networks by using a real-time hardware Spiking Neural Network.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
Electroceutical methodologies utilized for treating neurological disorders, including stroke, can leverage neuromorphic engineering principles to design devices capable of seamlessly interfacing with the neural system. This paper introduces a bank of...
Neural Networks, Computer Action Potentials Neurons Nerve Net Animals Rats
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Classification of Schizophrenia using Intrinsic Connectivity Networks and Incremental Boosting Convolution Neural Networks.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
One of the key challenges in the use of resting brain functional magnetic resonance imaging (fMRI) network analysis for predicting mental illnesses such as schizophrenia (SZ) is the high noise levels variability among individuals including age, sex, ...
Support Vector Machine Magnetic Resonance Imaging Schizophrenia Adult Male Humans Nerve Net Brain Algorithms Neural Networks, Computer Female
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A Mean Field to Capture Asynchronous Irregular Dynamics of Conductance-Based Networks of Adaptive Quadratic Integrate-and-Fire Neuron Models.

Neural computation Jun 7, 2024
Mean-field models are a class of models used in computational neuroscience to study the behavior of large populations of neurons. These models are based on the idea of representing the activity of a large number of neurons as the average behavior of ...
Nerve Net Neurons Synapses Neural Networks, Computer Computer Simulation Humans Models, Neurological Animals Action Potentials
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Is Learning in Biological Neural Networks Based on Stochastic Gradient Descent? An Analysis Using Stochastic Processes.

Neural computation Jun 7, 2024
In recent years, there has been an intense debate about how learning in biological neural networks (BNNs) differs from learning in artificial neural networks. It is often argued that the updating of connections in the brain relies only on local infor...
Models, Neurological Supervised Machine Learning Stochastic Processes Nerve Net Neural Networks, Computer Deep Learning
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Approximating Nonlinear Functions With Latent Boundaries in Low-Rank Excitatory-Inhibitory Spiking Networks.

Neural computation Apr 23, 2024
Deep feedforward and recurrent neural networks have become successful functional models of the brain, but they neglect obvious biological details such as spikes and Dale's law. Here we argue that these details are crucial in order to understand how r...
Neural Networks, Computer Computer Simulation Models, Neurological Action Potentials Animals Humans Synapses Nerve Net Neurons Neural Inhibition Nonlinear Dynamics
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How AI could lead to a better understanding of the brain.

Nature Nov 1, 2023
Brain Nerve Net Artificial Intelligence Machine Learning Neural Networks, Computer
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Coherent oscillations in balanced neural networks driven by endogenous fluctuations.

Chaos (Woodbury, N.Y.) Feb 1, 2022
We present a detailed analysis of the dynamical regimes observed in a balanced network of identical quadratic integrate-and-fire neurons with sparse connectivity for homogeneous and heterogeneous in-degree distributions. Depending on the parameter va...
Neural Networks, Computer Neurons Nerve Net Models, Neurological Action Potentials
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DeepMapi: a Fully Automatic Registration Method for Mesoscopic Optical Brain Images Using Convolutional Neural Networks.

Neuroinformatics Apr 1, 2021
The extreme complexity of mammalian brains requires a comprehensive deconstruction of neuroanatomical structures. Scientists normally use a brain stereotactic atlas to determine the locations of neurons and neuronal circuits. However, different brain...
Neuroimaging Animals Research Design Nerve Net Imaging, Three-Dimensional Mice, Inbred C57BL Databases, Factual Humans Mice Image Processing, Computer-Assisted Brain Mapping Brain Neural Networks, Computer Magnetic Resonance Imaging
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