AIMC Topic: Membrane Potentials

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Temporal Backpropagation for Spiking Neural Networks with One Spike per Neuron.

International journal of neural systems May 28, 2020
We propose a new supervised learning rule for multilayer spiking neural networks (SNNs) that use a form of temporal coding known as rank-order-coding. With this coding scheme, all neurons fire exactly one spike per stimulus, but the firing order carr...
Humans Supervised Machine Learning Neurons Membrane Potentials Neural Networks, Computer Models, Neurological
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Simulating Small Neural Circuits with a Discrete Computational Model.

Biological cybernetics Mar 13, 2020
Simulations of neural activity are commonly based on differential equations. We address the question what can be achieved with a simplified discrete model. The proposed model resembles artificial neural networks enriched with additional biologically ...
Neurons Nerve Net Membrane Potentials Neural Networks, Computer Animals Models, Neurological
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Nonlinear Spiking Neural P Systems.

International journal of neural systems Mar 12, 2020
This paper proposes a new variant of spiking neural P systems (in short, SNP systems), nonlinear spiking neural P systems (in short, NSNP systems). In NSNP systems, the state of each neuron is denoted by a real number, and a real configuration vector...
Neurons Membrane Potentials Models, Neurological Action Potentials Humans Neural Networks, Computer
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Stochasticity from function - Why the Bayesian brain may need no noise.

Neural networks : the official journal of the International Neural Network Society Aug 19, 2019
An increasing body of evidence suggests that the trial-to-trial variability of spiking activity in the brain is not mere noise, but rather the reflection of a sampling-based encoding scheme for probabilistic computing. Since the precise statistical p...
Neural Networks, Computer Neuronal Plasticity Models, Neurological Bayes Theorem Brain Computer Simulation Neurons Membrane Potentials
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A Machine Learning Approach to Characterize the Modulation of the Hippocampal Rhythms Via Optogenetic Stimulation of the Medial Septum.

International journal of neural systems Jun 27, 2019
The medial septum (MS) is a potential target for modulating hippocampal activity. However, given the multiple cell types involved, the changes in hippocampal neural activity induced by MS stimulation have not yet been fully characterized. We combined...
Membrane Potentials Septal Nuclei Hippocampus Optogenetics Machine Learning Male Rats Animals
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Membrane potential resonance in non-oscillatory neurons interacts with synaptic connectivity to produce network oscillations.

Journal of computational neuroscience Mar 20, 2019
Several neuron types have been shown to exhibit (subthreshold) membrane potential resonance (MPR), defined as the occurrence of a peak in their voltage amplitude response to oscillatory input currents at a preferred (resonant) frequency. MPR has been...
Membrane Potentials Linear Models Neural Pathways Biological Clocks Nonlinear Dynamics Humans Synapses Neural Networks, Computer Models, Neurological Algorithms Neurons
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Hindmarsh-Rose neuron model with memristors.

Bio Systems Jan 9, 2019
We analyze single and coupled Hindmarsh-Rose neurons in the presence of a time varying electromagnetic field which results from the exchange of ions across the membrane. Memristors are used to model the relation between magnetic flux of the electroma...
Neural Networks, Computer Models, Neurological Neurons Nonlinear Dynamics Models, Biological Humans Cell Membrane Electromagnetic Fields Membrane Potentials Ion Exchange Electrical Synapses
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The Complex Behaviour of a Simple Neural Oscillator Model in the Human Cortex.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Nov 28, 2018
The brain is a complex organ responsible for memory storage and reasoning; however, the mechanisms underlying these processes remain unknown. This paper forms a contribution to a lot of theoretical studies devoted to regular or chaotic oscillations o...
Neural Pathways Membrane Potentials Synapses Humans Cerebral Cortex Neural Networks, Computer Signal Processing, Computer-Assisted Models, Neurological Algorithms Neurons Computer Simulation
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Evaluating performance of neural codes in model neural communication networks.

Neural networks : the official journal of the International Neural Network Society Oct 23, 2018
Information needs to be appropriately encoded to be reliably transmitted over physical media. Similarly, neurons have their own codes to convey information in the brain. Even though it is well-known that neurons exchange information using a pool of s...
Membrane Potentials Neural Networks, Computer Action Potentials Animals Brain Neurons Models, Neurological
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The impact of encoding-decoding schemes and weight normalization in spiking neural networks.

Neural networks : the official journal of the International Neural Network Society Sep 11, 2018
Spike-timing Dependent Plasticity (STDP) is a learning mechanism that can capture causal relationships between events. STDP is considered a foundational element of memory and learning in biological neural networks. Previous research efforts endeavore...
Membrane Potentials Humans Neuronal Plasticity Machine Learning Neural Networks, Computer Nerve Net
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