AIMC Topic: Pyramidal Cells

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An accurate and fast learning approach in the biologically spiking neural network.

Scientific reports Feb 24, 2025
Computations adapted from the interactions of neurons in the nervous system have the potential to be a strong foundation for building computers with cognitive functions including decision-making, generalization, and real-time learning. In this contex...
Humans Neural Networks, Computer Machine Learning Action Potentials Neurons Nerve Net Pyramidal Cells Algorithms Learning Models, Neurological
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Inferring Parameters of Pyramidal Neuron Excitability in Mouse Models of Alzheimer's Disease Using Biophysical Modeling and Deep Learning.

Bulletin of mathematical biology Mar 25, 2024
Alzheimer's disease (AD) is believed to occur when abnormal amounts of the proteins amyloid beta and tau aggregate in the brain, resulting in a progressive loss of neuronal function. Hippocampal neurons in transgenic mice with amyloidopathy or tauopa...
Mice Mathematical Concepts Disease Models, Animal Pyramidal Cells Amyloid beta-Peptides Tauopathies Alzheimer Disease Mice, Transgenic Models, Biological Animals Potassium Deep Learning
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A GPU-based computational framework that bridges neuron simulation and artificial intelligence.

Nature communications Sep 18, 2023
Biophysically detailed multi-compartment models are powerful tools to explore computational principles of the brain and also serve as a theoretical framework to generate algorithms for artificial intelligence (AI) systems. However, the expensive comp...
Humans Artificial Intelligence Pyramidal Cells Algorithms Brain Neurons
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Single cortical neurons as deep artificial neural networks.

Neuron Aug 10, 2021
Utilizing recent advances in machine learning, we introduce a systematic approach to characterize neurons' input/output (I/O) mapping complexity. Deep neural networks (DNNs) were trained to faithfully replicate the I/O function of various biophysical...
Humans Deep Learning Pyramidal Cells Dendrites Models, Neurological Receptors, N-Methyl-D-Aspartate Cerebral Cortex
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Burst-dependent synaptic plasticity can coordinate learning in hierarchical circuits.

Nature neuroscience May 13, 2021
Synaptic plasticity is believed to be a key physiological mechanism for learning. It is well established that it depends on pre- and postsynaptic activity. However, models that rely solely on pre- and postsynaptic activity for synaptic changes have, ...
Pyramidal Cells Deep Learning Neuronal Plasticity Models, Neurological Learning Animals Humans
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Empirically constrained network models for contrast-dependent modulation of gamma rhythm in V1.

NeuroImage Jan 15, 2021
Gamma oscillations are thought to play a key role in neuronal network function and neuronal communication, yet the underlying generating mechanisms have not been fully elucidated to date. At least partly, this may be due to the fact that even in simp...
Haplorhini Interneurons Pyramidal Cells Gamma Rhythm Databases, Factual Animals Action Potentials Neural Networks, Computer
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A Computational Model of the Brain Cortex and Its Synchronization.

BioMed research international Oct 23, 2020
Obtaining the computational models for the functioning of the brain gives us a chance to understand the brain functionality thoroughly. This would help the development of better treatments for neurological illnesses and disorders. We created a cortic...
GABAergic Neurons Pyramidal Cells Cortical Synchronization Models, Neurological Neural Networks, Computer Cerebral Cortex Humans Computer Simulation Nerve Net
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An efficient analytical reduction of detailed nonlinear neuron models.

Nature communications Jan 15, 2020
Detailed conductance-based nonlinear neuron models consisting of thousands of synapses are key for understanding of the computational properties of single neurons and large neuronal networks, and for interpreting experimental results. Simulations of ...
Spatio-Temporal Analysis N-Methylaspartate alpha-Amino-3-hydroxy-5-methyl-4-isoxazolepropionic Acid Mice Neural Networks, Computer Models, Neurological gamma-Aminobutyric Acid Calcium Algorithms Neurons Pyramidal Cells Animals Nonlinear Dynamics Dendrites Synapses
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Endocannabinoid degradation inhibitors ameliorate neuronal and synaptic alterations following traumatic brain injury.

Journal of neurophysiology Jan 8, 2020
Our previous work showed that lateral fluid percussion injury to the sensorimotor cortex (SMC) of anesthetized rats increased neuronal synaptic hyperexcitability in layer 5 (L5) neurons in ex vivo brain slices 10 days postinjury. Furthermore, endocan...
Machine Learning Rats, Wistar Benzodioxoles Rats Monoacylglycerol Lipases Succinimides Animals Benzamides Male Enzyme Inhibitors Pyramidal Cells Sensorimotor Cortex Carbamates Endocannabinoids Electrophysiological Phenomena Brain Injuries, Traumatic Amidohydrolases Excitatory Postsynaptic Potentials Piperazines Piperidines
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Reducing variability in motor cortex activity at a resting state by extracellular GABA for reliable perceptual decision-making.

Journal of computational neuroscience Nov 13, 2019
Interaction between sensory and motor cortices is crucial for perceptual decision-making, in which intracortical inhibition might have an important role. We simulated a neural network model consisting of a sensory network (N) and a motor network (N) ...
Synaptic Transmission Decision Making Motor Cortex Pyramidal Cells Humans Neural Inhibition Neurons Neural Networks, Computer gamma-Aminobutyric Acid Models, Neurological
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