Jun 18, 2020 · Multi-compartment neuron models can become selective to highly specific input patterns, and thus learn to produce informative yet sparse spiking codes.
This paper motivates the operation of a simplistic hierarchical neuron model by analogy to decision trees, shows how they can be optimized using a modified ...
Our model uses local plasticity rules to learn the synaptic weights of a simple neural network to achieve optimal performance and solves one-step decision- ...
In this paper, I motivate the operation of a simplistic hierarchical neuron model by analogy to decision trees, show how they can be optimized using a modified ...
Making spiking neurons more succinct with multi-compartment models | Johannes Leugering | 2021 · Making spiking neurons more succinct with... 1 views.
Jan 18, 2023 · The proposed multi-compartment neuron built the structure and function of apical dendritic, basal dendritic, and somatic computing compartments ...
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Nov 18, 2023 · We propose a novel Parallel Multi-compartment Spiking Neuron (PMSN), which is derived from the cable model of hippocampus pyramidal neurons.
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This model is capable of reproducing a rich variety of neuronal spike responses, including regular spiking, intrinsic bursting, fast spiking, and chattering, by ...
Aug 27, 2024 · The PMSN emulates biological neurons by incorporating multiple interacting substructures and allows for flexible adjustment of the substructure ...
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Jun 18, 2020 · Making spiking neurons more succinct with multi-compartment models ... Spiking neurons consume energy for each spike they emit. Reducing the ...