AIMC Topic: Neurons

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Analysis on the inherent noise tolerance of feedforward network and one noise-resilient structure.

Neural networks : the official journal of the International Neural Network Society Jun 17, 2023
In the past few decades, feedforward neural networks have gained much attraction in their hardware implementations. However, when we realize a neural network in analog circuits, the circuit-based model is sensitive to hardware nonidealities. The noni...
Normal Distribution Neurons Noise Neural Networks, Computer
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High-resolution CMOS-based biosensor for assessing hippocampal circuit dynamics in experience-dependent plasticity.

Biosensors & bioelectronics Jun 12, 2023
Experiential richness creates tissue-level changes and synaptic plasticity as patterns emerge from rhythmic spatiotemporal activity of large interconnected neuronal assemblies. Despite numerous experimental and computational approaches at different s...
Artificial Intelligence Mice Neurons Biosensing Techniques Animals Cerebral Cortex Hippocampus
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Model discovery to link neural activity to behavioral tasks.

eLife Jun 6, 2023
Brains are not engineered solutions to a well-defined problem but arose through selective pressure acting on random variation. It is therefore unclear how well a model chosen by an experimenter can relate neural activity to experimental conditions. H...
Animals Neural Networks, Computer Brain Neurons Zebrafish
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Highly Bionic Neurotransmitter-Communicated Neurons Following Integrate-and-Fire Dynamics.

Nano letters Jun 5, 2023
In biological neural networks, chemical communication follows the reversible integrate-and-fire (I&F) dynamics model, enabling efficient, anti-interference signal transport. However, existing artificial neurons fail to follow the I&F model in chemica...
Artificial Intelligence Models, Neurological Humans Synapses Neurons Neurotransmitter Agents Bionics
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BrainS: Customized multi-core embedded multiple scale neuromorphic system.

Neural networks : the official journal of the International Neural Network Society May 30, 2023
Research on modeling and mechanisms of the brain remains the most urgent and challenging task. The customized embedded neuromorphic system is one of the most effective approaches for multi-scale simulations ranging from ion channel to network. This p...
Neurons Brain Neural Networks, Computer Computer Simulation
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Stimulation-mediated reverse engineering of silent neural networks.

Journal of neurophysiology May 24, 2023
Reconstructing connectivity of neuronal networks from single-cell activity is essential to understanding brain function, but the challenge of deciphering connections from populations of silent neurons has been largely unmet. We demonstrate a protocol...
Neurons Nerve Net Animals Action Potentials Rats Algorithms Neural Networks, Computer
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Auditory perception architecture with spiking neural network and implementation on FPGA.

Neural networks : the official journal of the International Neural Network Society May 23, 2023
Spike-based perception brings up a new research idea in the field of neuromorphic engineering. A high-performance biologically inspired flexible spiking neural network (SNN) architecture provides a novel method for the exploration of perception mecha...
Auditory Perception Neurons Neural Networks, Computer
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Motor decoding from the posterior parietal cortex using deep neural networks.

Journal of neural engineering May 19, 2023
Motor decoding is crucial to translate the neural activity for brain-computer interfaces (BCIs) and provides information on how motor states are encoded in the brain. Deep neural networks (DNNs) are emerging as promising neural decoders. Nevertheless...
Parietal Lobe Macaca fascicularis Brain-Computer Interfaces Movement Neurons Neural Networks, Computer Humans Bayes Theorem Animals
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Approximate spectral decomposition of Fisher information matrix for simple ReLU networks.

Neural networks : the official journal of the International Neural Network Society May 18, 2023
We argue the Fisher information matrix (FIM) of one hidden layer networks with the ReLU activation function. For a network, let W denote the d×p weight matrix from the d-dimensional input to the hidden layer consisting of p neurons, and v the p-dimen...
Neural Networks, Computer Neurons
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Targeting operational regimes of interest in recurrent neural networks.

PLoS computational biology May 15, 2023
Neural computations emerge from local recurrent neural circuits or computational units such as cortical columns that comprise hundreds to a few thousand neurons. Continuous progress in connectomics, electrophysiology, and calcium imaging require trac...
Neural Networks, Computer Nerve Net Action Potentials Models, Neurological Neurons Algorithms Neural Inhibition
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