AIMC Topic: Action Potentials

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Is It Reasonable to Drive When There Is a (Spike) Train?

Neurology Jul 6, 2023
Action Potentials Algorithms Models, Neurological Humans Neural Networks, Computer
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Intrinsic neural diversity quenches the dynamic volatility of neural networks.

Proceedings of the National Academy of Sciences of the United States of America Jul 3, 2023
Heterogeneity is the norm in biology. The brain is no different: Neuronal cell types are myriad, reflected through their cellular morphology, type, excitability, connectivity motifs, and ion channel distributions. While this biophysical diversity enr...
Neural Networks, Computer Neurons Homeostasis Models, Neurological Action Potentials
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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...
Neural Networks, Computer Neurons Nerve Net Algorithms Rats Animals Action Potentials
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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...
Nerve Net Neural Inhibition Neurons Neural Networks, Computer Algorithms Models, Neurological Action Potentials
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Evolution-communication spiking neural P systems with energy request rules.

Neural networks : the official journal of the International Neural Network Society May 9, 2023
Evolution-communication spiking neural P systems with energy request rules (ECSNP-ER systems) are proposed and developed as a new variant of evolution-communication spiking neural P systems. In ECSNP-ER systems, in addition to spike-evolution rules a...
Action Potentials Neurons Models, Neurological Neural Networks, Computer Communication
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Coherent noise enables probabilistic sequence replay in spiking neuronal networks.

PLoS computational biology May 2, 2023
Animals rely on different decision strategies when faced with ambiguous or uncertain cues. Depending on the context, decisions may be biased towards events that were most frequently experienced in the past, or be more explorative. A particular type o...
Animals Neuronal Plasticity Neural Networks, Computer Learning Memory Action Potentials Mental Recall Models, Neurological Neurons
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Effective and efficient neural networks for spike inference from calcium imaging.

Cell reports methods Apr 24, 2023
Calcium imaging provides advantages in monitoring large populations of neuronal activities simultaneously. However, it lacks the signal quality provided by neural spike recording in traditional electrophysiology. To address this issue, we developed a...
Calcium, Dietary Action Potentials Algorithms Models, Neurological Neural Networks, Computer
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A deep learning network based on CNN and sliding window LSTM for spike sorting.

Computers in biology and medicine Apr 4, 2023
Spike sorting plays an essential role to obtain electrophysiological activity of single neuron in the fields of neural signal decoding. With the development of electrode array, large numbers of spikes are recorded simultaneously, which rises the need...
Deep Learning Action Potentials Neurons Neural Networks, Computer
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Overview of Spiking Neural Network Learning Approaches and Their Computational Complexities.

Sensors (Basel, Switzerland) Mar 11, 2023
Spiking neural networks (SNNs) are subjects of a topic that is gaining more and more interest nowadays. They more closely resemble actual neural networks in the brain than their second-generation counterparts, artificial neural networks (ANNs). SNNs ...
Computers Brain Algorithms Action Potentials Humans Neural Networks, Computer
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A study of autoencoders as a feature extraction technique for spike sorting.

PloS one Mar 9, 2023
Spike sorting is the process of grouping spikes of distinct neurons into their respective clusters. Most frequently, this grouping is performed by relying on the similarity of features extracted from spike shapes. In spite of recent developments, cur...
Signal Processing, Computer-Assisted Algorithms Machine Learning Neurons Action Potentials
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