The field of neuroscience has long been intrigued by the complex dynamics of neurons in the cerebral cortex, particularly the transformation of synaptic input into action potential output. Despite the thousands of synaptic inputs received per second from presynaptic neurons, the impact of factors such as dendritic location, timing, strength, and presynaptic origin on this transformation remains largely unknown, especially under in vivo conditions. Recent studies have introduced computational approaches to dissect these properties and their influence on neuronal input-output computation. However, there are still gaps in understanding how different input populations drive observed action potentials, how synaptic input from various sources contribute to responses, and how variability in synaptic input and biophysical and morphological properties affect neuronal responses.

The goal of this Research Topic is to delve deeper into the complex dynamics of neurons, specifically focusing on the properties and functions of dendrites. The aim is to understand how the morphology and biophysical properties of dendrites influence the transformation of synaptic input into action potential output. This includes investigating the impact of dendritic location, timing, strength, and presynaptic origin on this transformation, as well as the role of different input populations in driving observed action potentials. The research also aims to explore how variability in synaptic input and biophysical and morphological properties affect neuronal responses, and how these factors contribute to the overall function and performance of the neural network.

To gather further insights into the complex dynamics of neurons and the role of dendrites, we welcome articles addressing, but not limited to, the following themes:

- The impact of dendritic location, timing, strength, and presynaptic origin on the transformation of synaptic input into action potential output.

- The role of different input populations in driving observed action potentials.

- The influence of synaptic input from various sources on neuronal responses.

- The effect of variability in synaptic input and biophysical and morphological properties on neuronal responses.

- The contribution of these factors to the overall function and performance of the neural network.

- The development and application of computational models to study these dynamics and properties.

-Linking dendritic dynamics to behavior.

- The role of energetics/metabolism in regulating/constraining dendritic function

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Dendritic Influence on Neuronal Input-Output Transformation Dynamics