Oct 6, 2021 · We identified 11 major projection neuron types with distinct morphological features and corresponding transcriptomic identities.

Bio-realistic models allow probing cause-and-effect and linking seemingly disparate modalities. Here, we introduce a computational optimization workflow to generate 9,200 single-neuron …

A single neuron, referred to as a perceptron, is defined as the fundamental unit of a single-layer perceptron neural network, which is capable of categorizing only linearly separable cases with …

Currently, single-unit recordings provide the most precise recordings from a single neuron. A single unit is defined as a single, firing neuron whose spike potentials are distinctly isolated by …

Sep 30, 2025 · A single neuron neural network is the simplest form of an artificial neural network, consisting of just one processing unit that takes multiple inputs, applies weights, passes the …

Jun 23, 2020 · This review highlights various single-neuron models and their behaviors, followed by different analysis methods. Again, to elucidate cellular dynamics in terms of …

Mar 21, 2025 · Here we acquired and standardized a large morphology database of 20,158 mouse neurons and generated a potential connectivity map of single neurons based on their …

Apr 28, 2025 · In 1971, Marcel Verzeano and his collaborators recorded single-neuron activity during a seizure for the first time, using several microwires to increase their chances of …

Using direct interfaces with the nervous system, millisecond-scale information will soon be extracted from single neurons in clinical environments, supporting personalized treatment of …

In principle, a single neuron, releasing a single neurotransmitter, can have excitatory effects on some targets, inhibitory effects on others, and modulatory effects on others still.